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2020 – today
- 2024
[j67]Guolong Wang
, Xun Wu, Junchi Yan:
Progressive reinforcement learning for video summarization. Inf. Sci. 655: 119888 (2024)- [j66]Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan:
Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 25: 33:1-33:7 (2024) - [j65]Ying Zeng, Yushi Chen, Xue Yang, Qingyun Li, Junchi Yan:
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j64]Tianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han:
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4478-4490 (2024) - [c277]Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. AAAI 2024: 2866-2873 - [c276]Liangliang Shi, Zhaoqi Shen, Junchi Yan:
Double-Bounded Optimal Transport for Advanced Clustering and Classification. AAAI 2024: 14982-14990 - [c275]Han Zhao, Xu Yang, Cheng Deng, Junchi Yan:
Dynamic Reactive Spiking Graph Neural Network. AAAI 2024: 16970-16978 - [c274]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI 2024: 17087-17095 - [c273]Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li:
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. ACL (1) 2024: 6159-6172 - [c272]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma:
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. ACL (Findings) 2024: 11437-11452 - [c271]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach. CVPR 2024: 5662-5671 - [c270]Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li:
PointOBB: Learning Oriented Object Detection via Single Point Supervision. CVPR 2024: 16730-16740 - [c269]Yi Yu, Xue Yang, Qingyun Li, Feipeng Da, Jifeng Dai, Yu Qiao, Junchi Yan:
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. CVPR 2024: 16783-16793 - [c268]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hui:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CVPR 2024: 16912-16922 - [c267]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CVPR 2024: 19425-19435 - [c266]Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan:
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR 2024: 26162-26170 - [c265]Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan:
Efficient Architecture Search for Real-Time Instance Segmentation. ICASSP 2024: 3310-3314 - [c264]Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan:
View Crafting For Instance-Level Representation from Scene Images. ICASSP 2024: 5355-5359 - [c263]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. ICASSP 2024: 6535-6539 - [c262]Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan:
Alpharotate: A Rotation Detection Benchmark Using Tensorflow. ICASSP 2024: 9481-9485 - [c261]Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan:
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. ICLR 2024 - [c260]Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan:
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR 2024 - [c259]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR 2024 - [c258]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. ICLR 2024 - [c257]Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan:
MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR 2024 - [c256]Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li:
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. ICLR 2024 - [c255]Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan:
L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR 2024 - [c254]Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan:
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. ICLR 2024 - [c253]Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan:
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR 2024 - [c252]Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan:
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR 2024 - [c251]Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan:
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR 2024 - [c250]Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan:
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. ICLR 2024 - [c249]Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan:
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. ICLR 2024 - [c248]Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan:
Graph Out-of-Distribution Detection Goes Neighborhood Shaping. ICML 2024 - [c247]Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan:
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. ICML 2024 - [c246]Liangliang Shi, Jack Fan, Junchi Yan:
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. ICML 2024 - [c245]Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan:
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. ICML 2024 - [c244]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. ICML 2024 - [c243]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML 2024 - [c242]Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan:
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. ICML 2024 - [c241]Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan:
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. ICML 2024 - [c240]Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan:
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis. ICML 2024 - [c239]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML 2024 - [c238]Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan:
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. KDD 2024: 2596-2607 - [c237]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GeoMix: Towards Geometry-Aware Data Augmentation. KDD 2024: 4500-4511 - [c236]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. WWW 2024: 850-860 - [c235]Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan:
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW 2024: 3173-3184 - [i198]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i197]Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan:
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR abs/2401.09500 (2024) - [i196]Liangliang Shi, Zhaoqi Shen, Junchi Yan:
Double-Bounded Optimal Transport for Advanced Clustering and Classification. CoRR abs/2401.11418 (2024) - [i195]Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan:
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR abs/2401.12224 (2024) - [i194]Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu:
Knowledge Graph Supported Benchmark and Video Captioning for Basketball. CoRR abs/2401.13888 (2024) - [i193]Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan:
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. CoRR abs/2401.15652 (2024) - [i192]Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization. CoRR abs/2401.17050 (2024) - [i191]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. CoRR abs/2402.02687 (2024) - [i190]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR abs/2402.03660 (2024) - [i189]Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan:
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. CoRR abs/2402.07191 (2024) - [i188]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. CoRR abs/2402.11494 (2024) - [i187]Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao:
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR abs/2402.12185 (2024) - [i186]Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li:
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR abs/2402.14800 (2024) - [i185]Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan:
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR abs/2402.16720 (2024) - [i184]Shen Cai, Zhanhao Wu, Lingxi Guo, Jiachun Wang, Siyu Zhang, Junchi Yan, Shuhan Shen:
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. CoRR abs/2402.18008 (2024) - [i183]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CoRR abs/2402.18975 (2024) - [i182]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR abs/2403.00012 (2024) - [i181]Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan:
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. CoRR abs/2403.00250 (2024) - [i180]Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan:
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR abs/2403.02877 (2024) - [i179]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma:
Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR abs/2403.07865 (2024) - [i178]Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan:
Boundary Matters: A Bi-Level Active Finetuning Framework. CoRR abs/2403.10069 (2024) - [i177]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach. CoRR abs/2403.11380 (2024) - [i176]Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan:
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR abs/2403.13331 (2024) - [i175]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CoRR abs/2403.20002 (2024) - [i174]Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan:
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. CoRR abs/2404.07882 (2024) - [i173]Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li:
TerDiT: Ternary Diffusion Models with Transformers. CoRR abs/2405.14854 (2024) - [i172]Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan:
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR abs/2406.03877 (2024) - [i171]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. CoRR abs/2406.04963 (2024) - [i170]Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang:
Towards Vision-Language Geo-Foundation Model: A Survey. CoRR abs/2406.09385 (2024) - [i169]Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan:
Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach. CoRR abs/2406.09410 (2024) - [i168]Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao:
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR abs/2406.11633 (2024) - [i167]Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li:
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. CoRR abs/2406.15836 (2024) - [i166]Ge Yan, Wenjie Wu, Chen Yuheng, Kaisen Pan, Xudong Lu, Zhou Zixiang, Wang Yuhan, Ruocheng Wang, Junchi Yan:
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. CoRR abs/2407.00736 (2024) - [i165]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GeoMix: Towards Geometry-Aware Data Augmentation. CoRR abs/2407.10681 (2024) - [i164]Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan:
LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR abs/2407.13917 (2024) - [i163]Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan:
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving. CoRR abs/2408.06832 (2024) - [i162]Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Jiaxin Shi, Sitao Xie, Zhixing Wang, Yubo Zhang, Hongyan Li, Junchi Yan:
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. CoRR abs/2408.06904 (2024) - [i161]Xiangdong Zhang, Shaofeng Zhang, Junchi Yan:
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders. CoRR abs/2408.08753 (2024) - [i160]Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan:
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR abs/2408.12483 (2024) - [i159]Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong:
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. CoRR abs/2408.15205 (2024) - [i158]Runzhong Wang, Yang Li, Junchi Yan, Xiaokang Yang:
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks. CoRR abs/2409.04495 (2024) - [i157]Qitian Wu, Kai Yang, Hengrui Zhang, David Wipf, Junchi Yan:
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity. CoRR abs/2409.09007 (2024) - [i156]Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li:
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation. CoRR abs/2409.09016 (2024) - [i155]Qitian Wu, David Wipf, Junchi Yan:
Neural Message Passing Induced by Energy-Constrained Diffusion. CoRR abs/2409.09111 (2024) - [i154]Haisheng Su, Wei Wu, Junchi Yan:
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Autonomous Driving. CoRR abs/2409.09777 (2024) - 2023
- [j63]Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. 20(5): 640-655 (2023) - [j62]Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan:
A survey for solving mixed integer programming via machine learning. Neurocomputing 519: 205-217 (2023) - [j61]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 178:1-178:75 (2023) - [j60]Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2384-2399 (2023) - [j59]Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan:
Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4335-4354 (2023) - [j58]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6984-7000 (2023) - [j57]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10500-10518 (2023) - [j56]Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13860-13875 (2023) - [j55]Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan:
DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13974-13990 (2023) - [j54]Xuemin Hu, Yanfang Liu, Bo Tang, Junchi Yan, Long Chen:
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(11): 11921-11933 (2023) - [j53]Hao Xiong, Junchi Yan, Zengfeng Huang:
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. 35(5): 5017-5034 (2023) - [j52]Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang:
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. 35(6): 6058-6072 (2023) - [j51]Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang:
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. IEEE Trans. Knowl. Data Eng. 35(7): 7118-7137 (2023) - [j50]Min Cao, Cong Ding, Chen Chen, Hao Dou, Xiyuan Hu, Junchi Yan:
Progressive Context-Aware Graph Feature Learning for Target Re-Identification. IEEE Trans. Multim. 25: 1230-1242 (2023) - [j49]Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang:
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1634-1638 (2023) - [j48]Tianqi Zhang, Qitian Wu, Junchi Yan:
Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5144-5155 (2023) - [j47]Xiaojiang Yang, Junchi Yan, Yu Cheng, Yizhe Zhang:
Learning Deep Generative Clustering via Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6263-6275 (2023) - [j46]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Xiaokang Yang:
Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8566-8578 (2023) - [c234]Fangyu Ding, Junchi Yan, Haiyang Wang:
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. AAAI 2023: 7369-7377 - [c233]Peizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan:
HSA: Hyperbolic Self-attention for Sequential Recommendation. APWeb/WAIM (3) 2023: 250-264 - [c232]Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 436-438 - [c231]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. AutoML 2023: 3/1-20 - [c230]Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li:
Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. CVPR 2023: 992-1001 - [c229]Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan:
Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR 2023: 6272-6281 - [c228]Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li:
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CVPR 2023: 21983-21994 - [c227]Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan:
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CVPR 2023: 23715-23724 - [c226]Yulin Su, Boan Chen, Ziming Feng, Junchi Yan:
Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. ICANN (8) 2023: 38-50 - [c225]Bin Liu, Fengfu Li, Xiaogang Wang, Bo Zhang, Junchi Yan:
Ternary Weight Networks. ICASSP 2023: 1-5 - [c224]Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan:
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP 2023: 1-5 - [c223]Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD 2023: 1-9 - [c222]Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD 2023: 1-9 - [c221]Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. ICCV 2023: 5916-5926 - [c220]Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li:
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. ICCV 2023: 7919-7929 - [c219]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE 2023: 3763-3764 - [c218]Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan:
Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. ICIP 2023: 430-434 - [c217]Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian:
The KFIoU Loss for Rotated Object Detection. ICLR 2023 - [c216]Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan:
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. ICLR 2023 - [c215]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. ICLR 2023 - [c214]Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan:
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR 2023 - [c213]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan:
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR 2023 - [c212]Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan:
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR 2023 - [c211]Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao:
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. ICLR 2023 - [c210]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR 2023 - [c209]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR 2023 - [c208]Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan:
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. ICLR 2023 - [c207]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining. ICLR 2023 - [c206]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. ICLR 2023 - [c205]Yunhao Zhang, Junchi Yan:
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting. ICLR 2023 - [c204]Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan:
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. ICML 2023: 22880-22898 - [c203]Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan:
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. ICML 2023: 31408-31421 - [c202]Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan:
LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML 2023: 36605-36625 - [c201]Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan:
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. ICML 2023: 37745-37764 - [c200]Ge Yan, Huaijin Wu, Junchi Yan:
Quantum 3D Graph Learning with Applications to Molecule Embedding. ICML 2023: 39126-39137 - [c199]Xinyu Ye, Ge Yan, Junchi Yan:
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. ICML 2023: 39903-39912 - [c198]Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan:
Patch-level Contrastive Learning via Positional Query for Visual Pre-training. ICML 2023: 41990-41999 - [c197]Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan:
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI 2023: 1460-1469 - [c196]Yang Li, Liangliang Shi, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. IJCAI 2023: 3929-3938 - [c195]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. IJCAI 2023: 6778-6786 - [c194]Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan:
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD 2023: 518-530 - [c193]Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan:
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD 2023: 531-543 - [c192]Huaqing Shao, Lanjun Wang, Junchi Yan:
Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. KDD 2023: 2010-2022 - [c191]Xinyu Ye, Ge Yan, Junchi Yan:
VQNE: Variational Quantum Network Embedding with Application to Network Alignment. KDD 2023: 3105-3115 - [c190]Jianyong Yuan, Jiayi Zhang, Zinuo Cai, Junchi Yan:
Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. KDD 2023: 3162-3172 - [c189]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. KDD 2023: 3525-3536 - [c188]Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan:
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD 2023: 4414-4425 - [c187]Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia 2023: 1157-1166 - [c186]Wenxuan Liu, Tianyao He, Chen Gong, Ning Zhang, Hua Yang, Junchi Yan:
Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset. ACM Multimedia 2023: 8839-8848 - [c185]Xingbo Du, Chonghua Wang, Ruizhe Zhong, Junchi Yan:
HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection. NeurIPS 2023 - [c184]Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan:
From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. NeurIPS 2023 - [c183]Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan:
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification. NeurIPS 2023 - [c182]Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li:
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping. NeurIPS 2023 - [c181]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS 2023 - [c180]Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Feipeng Da, Junchi Yan:
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection. NeurIPS 2023 - [c179]Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu:
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. NeurIPS 2023 - [c178]Lyn Qiu, Xu Li, Lenghan Liang, Mingming Sun, Junchi Yan:
Adaptable Conservative Q-Learning for Offline Reinforcement Learning. PRCV (3) 2023: 200-212 - [c177]Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan:
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. WWW 2023: 4075-4085 - [i153]Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao:
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. CoRR abs/2301.01006 (2023) - [i152]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR abs/2301.09474 (2023) - [i151]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR abs/2302.02914 (2023) - [i150]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. CoRR abs/2302.03933 (2023) - [i149]Ying Zeng, Xue Yang, Qingyun Li, Yushi Chen, Junchi Yan:
ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer. CoRR abs/2303.04989 (2023) - [i148]Ning Liao, Bowen Shi, Min Cao, Xiaopeng Zhang, Qi Tian, Junchi Yan:
Rethinking Visual Prompt Learning as Masked Visual Token Modeling. CoRR abs/2303.04998 (2023) - [i147]Ning Liao, Xiaopeng Zhang, Min Cao, Qi Tian, Junchi Yan:
R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios. CoRR abs/2303.05122 (2023) - [i146]Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan:
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR abs/2303.12341 (2023) - [i145]Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan:
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CoRR abs/2303.14382 (2023) - [i144]Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Junchi Yan, Hongyang Li:
Geometric-aware Pretraining for Vision-centric 3D Object Detection. CoRR abs/2304.03105 (2023) - [i143]Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Gefan Zhang, Feipeng Da, Junchi Yan:
H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning. CoRR abs/2304.04403 (2023) - [i142]Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li:
Topology Reasoning for Driving Scenes. CoRR abs/2304.05277 (2023) - [i141]Huijie Wang, Zhenbo Liu, Yang Li, Tianyu Li, Li Chen, Chonghao Sima, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Jun Yao, Yu Qiao, Hongyang Li:
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving. CoRR abs/2304.10440 (2023) - [i140]Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou:
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. CoRR abs/2305.04297 (2023) - [i139]Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li:
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CoRR abs/2305.06242 (2023) - [i138]Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan:
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. CoRR abs/2306.08385 (2023) - [i137]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR abs/2306.10759 (2023) - [i136]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR abs/2306.11264 (2023) - [i135]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. CoRR abs/2306.13337 (2023) - [i134]Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu:
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. CoRR abs/2307.08286 (2023) - [i133]Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li:
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. CoRR abs/2308.00398 (2023) - [i132]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. CoRR abs/2309.05527 (2023) - [i131]Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao:
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. CoRR abs/2309.10527 (2023) - [i130]Renqiu Xia, Bo Zhang, Haoyang Peng, Ning Liao, Peng Ye, Botian Shi, Junchi Yan, Yu Qiao:
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding. CoRR abs/2309.11268 (2023) - [i129]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR abs/2310.05105 (2023) - [i128]Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan:
Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR abs/2310.06417 (2023) - [i127]Ning Liao, Shaofeng Zhang, Renqiu Xia, Bo Zhang, Min Cao, Yu Qiao, Junchi Yan:
REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets. CoRR abs/2310.06594 (2023) - [i126]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR abs/2310.06756 (2023) - [i125]Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan:
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. CoRR abs/2310.18444 (2023) - [i124]Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan:
LLM4Drive: A Survey of Large Language Models for Autonomous Driving. CoRR abs/2311.01043 (2023) - [i123]Ziyu Wang, Wenhao Jiang, Zixuan Zhang, Wei Tang, Junchi Yan:
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning. CoRR abs/2311.02123 (2023) - [i122]Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan:
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR abs/2311.04590 (2023) - [i121]Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan:
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. CoRR abs/2311.07633 (2023) - [i120]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. CoRR abs/2311.08141 (2023) - [i119]Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan:
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR abs/2311.10483 (2023) - [i118]Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li:
PointOBB: Learning Oriented Object Detection via Single Point Supervision. CoRR abs/2311.14757 (2023) - [i117]Yu Yi, Xue Yang, Qingyun Li, Feipeng Da, Junchi Yan, Jifeng Dai, Yu Qiao:
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision. CoRR abs/2311.14758 (2023) - [i116]Shaobo Wang, Xiangdong Zhang, Junchi Yan:
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR abs/2311.15993 (2023) - [i115]Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu:
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR abs/2312.01699 (2023) - [i114]Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao:
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. CoRR abs/2312.03408 (2023) - [i113]Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan:
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. CoRR abs/2312.08103 (2023) - [i112]Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li:
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. CoRR abs/2312.16108 (2023) - 2022
- [j45]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(2): 50 (2022) - [j44]Tao Yin, Xingbo Du, Weipeng Zhang, Yunan Zhao, Bing Han, Junchi Yan:
Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading. IEEE Access 10: 57685-57695 (2022) - [j43]Xue Yang, Junchi Yan:
On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. 130(5): 1340-1365 (2022) - [j42]Xue Yang, Junchi Yan:
Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. 130(7): 1873-1874 (2022) - [j41]Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang:
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. Proc. ACM Hum. Comput. Interact. 6(MHCI): 1-22 (2022) - [j40]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5261-5279 (2022) - [j39]Weipeng Zhang, Ning Zhang, Junchi Yan, Guofu Li, Xiaokang Yang:
Auto uning of price prediction models for high-frequency trading via reinforcement learning. Pattern Recognit. 125: 108543 (2022) - [j38]Yehui Tang, Junchi Yan, Guoqiang Hu, Baohua Zhang, Jinzan Zhou:
Recent progress and perspectives on quantum computing for finance. Serv. Oriented Comput. Appl. 16(4): 227-229 (2022) - [j37]Wen Qian, Xue Yang, Silong Peng, Xiujuan Zhang, Junchi Yan:
RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7869-7879 (2022) - [j36]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. 34(2): 573-586 (2022) - [j35]Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha:
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1080-1095 (2022) - [j34]Hao Xiong, Junchi Yan:
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3611-3628 (2022) - [j33]Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34(11): 5446-5458 (2022) - [c176]Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng:
Input-Specific Robustness Certification for Randomized Smoothing. AAAI 2022: 6295-6303 - [c175]Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao:
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. CoRL 2022: 910-920 - [c174]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CVPR 2022: 4858-4867 - [c173]Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng:
Optimal LED Spectral Multiplexing for NIR2RGB Translation. CVPR 2022: 12642-12650 - [c172]Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan:
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. CVPR 2022: 15242-15251 - [c171]Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang:
Align Representations with Base: A New Approach to Self-Supervised Learning. CVPR 2022: 16579-16588 - [c170]Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan:
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. ECCV (31) 2022: 223-241 - [c169]Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan:
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels. ECCV (16) 2022: 297-312 - [c168]Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan:
Self-supervised Learning of Visual Graph Matching. ECCV (23) 2022: 370-388 - [c167]Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao:
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning. ECCV (38) 2022: 533-549 - [c166]Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan:
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. ECCV (38) 2022: 550-567 - [c165]Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan:
EAutoDet: Efficient Architecture Search for Object Detection. ECCV (20) 2022: 668-684 - [c164]Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li:
A Max-Flow Based Approach for Neural Architecture Search. ECCV (20) 2022: 685-701 - [c163]Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song:
Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR 2022 - [c162]Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Handling Distribution Shifts on Graphs: An Invariance Perspective. ICLR 2022 - [c161]Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan:
Nonlinear ICA Using Volume-Preserving Transformations. ICLR 2022 - [c160]Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang:
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning. ICLR 2022 - [c159]Xiaolei Chen, Wenlong Liao, Bin Liu, Junchi Yan, Tao He:
Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction. ICME 2022: 1-6 - [c158]Wenlong Liao, Xiaolei Chen, Weipeng Zhang, Huanxi Liu, Junchi Yan, Yingxin Lou, Tao Xue, Shuqi Mei:
Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. ICME 2022: 1-6 - [c157]Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu:
On Collective Robustness of Bagging Against Data Poisoning. ICML 2022: 3299-3319 - [c156]Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML 2022: 8581-8612 - [c155]Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan:
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML 2022: 13857-13869 - [c154]Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang:
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. IJCAI 2022: 3766-3772 - [c153]Danning Lao, Xinyu Yang, Qitian Wu, Junchi Yan:
Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. KDD 2022: 824-834 - [c152]Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan:
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. KDD 2022: 1483-1492 - [c151]Ge Yan, Yehui Tang, Junchi Yan:
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. KDD 2022: 2160-2168 - [c150]Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu:
M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. KDD 2022: 2461-2470 - [c149]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan:
CEP3: Community Event Prediction With Neural Point Process on Graph. LoG 2022: 39 - [c148]Guolong Wang, Xun Wu, Zhaoyuan Liu, Junchi Yan:
Prompt-based Zero-shot Video Moment Retrieval. ACM Multimedia 2022: 413-421 - [c147]Ning Liao, Yifeng Liu, Xiaobo Li, Chenyi Lei, Guoxin Wang, Xian-Sheng Hua, Junchi Yan:
CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition. ACM Multimedia 2022: 3262-3271 - [c146]Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen:
MMRotate: A Rotated Object Detection Benchmark using PyTorch. ACM Multimedia 2022: 7331-7334 - [c145]Yiting Chen, Qibing Ren, Junchi Yan:
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. NeurIPS 2022 - [c144]Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan:
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. NeurIPS 2022 - [c143]Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan:
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space. NeurIPS 2022 - [c142]Zenan Li, Qitian Wu, Fan Nie, Junchi Yan:
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. NeurIPS 2022 - [c141]Yehui Tang, Junchi Yan:
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data. NeurIPS 2022 - [c140]Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan:
ZARTS: On Zero-order Optimization for Neural Architecture Search. NeurIPS 2022 - [c139]Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao:
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. NeurIPS 2022 - [c138]Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan:
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. NeurIPS 2022 - [c137]Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan:
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS 2022 - [c136]Chenxiao Yang, Qitian Wu, Junchi Yan:
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. NeurIPS 2022 - [c135]Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan:
Learning Substructure Invariance for Out-of-Distribution Molecular Representations. NeurIPS 2022 - [c134]Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan:
Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior. PRICAI (1) 2022: 15-22 - [i111]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang:
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR abs/2201.00402 (2022) - [i110]Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. CoRR abs/2201.05158 (2022) - [i109]Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian:
The KFIoU Loss for Rotated Object Detection. CoRR abs/2201.12558 (2022) - [i108]Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR abs/2202.00211 (2022) - [i107]Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR abs/2202.02466 (2022) - [i106]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. CoRR abs/2202.07125 (2022) - [i105]Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song:
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR abs/2202.09212 (2022) - [i104]Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR abs/2202.09506 (2022) - [i103]Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin:
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR abs/2202.13564 (2022) - [i102]Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR abs/2203.00128 (2022) - [i101]Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan:
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR abs/2203.02878 (2022) - [i100]Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR abs/2203.04755 (2022) - [i99]Zanwei Zhou, Zi Wang, Shunyu Yao, Yichao Yan, Chen Yang, Guangtao Zhai, Junchi Yan, Xiaokang Yang:
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation. CoRR abs/2203.07931 (2022) - [i98]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CoRR abs/2203.09338 (2022) - [i97]Xiaoxing Wang, Jiale Lin, Junchi Yan, Juanping Zhao, Xiaokang Yang:
EAutoDet: Efficient Architecture Search for Object Detection. CoRR abs/2203.10747 (2022) - [i96]Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan:
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. CoRR abs/2203.11089 (2022) - [i95]Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li:
GraphCoCo: Graph Complementary Contrastive Learning. CoRR abs/2203.12821 (2022) - [i94]Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. CoRR abs/2204.00752 (2022) - [i93]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. CoRR abs/2204.06517 (2022) - [i92]Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu:
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. CoRR abs/2204.08352 (2022) - [i91]Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen:
MMRotate: A Rotated Object Detection Benchmark using Pytorch. CoRR abs/2204.13317 (2022) - [i90]Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang:
DOTIN: Dropping Task-Irrelevant Nodes for GNNs. CoRR abs/2204.13429 (2022) - [i89]Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. CoRR abs/2205.09753 (2022) - [i88]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan:
CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR abs/2205.10624 (2022) - [i87]Ruoxin Chen, Zenan Li, Jie Li, Chentao Wu, Junchi Yan:
On Collective Robustness of Bagging Against Data Poisoning. CoRR abs/2205.13176 (2022) - [i86]Jian Hu, Haowen Zhong, Junchi Yan, Shaogang Gong, Guile Wu, Fei Yang:
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. CoRR abs/2206.01319 (2022) - [i85]Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao:
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. CoRR abs/2206.08129 (2022) - [i84]Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao:
Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot. CoRR abs/2206.08176 (2022) - [i83]Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao:
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning. CoRR abs/2207.07601 (2022) - [i82]Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo:
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. CoRR abs/2209.05324 (2022) - [i81]Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan:
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization. CoRR abs/2209.10839 (2022) - [i80]Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, Junchi Yan:
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. CoRR abs/2210.06742 (2022) - [i79]Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan:
Learning Universe Model for Partial Matching Networks over Multiple Graphs. CoRR abs/2210.10374 (2022) - [i78]Min Cao, Cong Ding, Chen Chen, Junchi Yan, Yinqiang Zheng:
End-to-End Context-Aided Unicity Matching for Person Re-identification. CoRR abs/2210.12008 (2022) - [i77]Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan:
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR abs/2210.13005 (2022) - [i76]Chenxiao Yang, Qitian Wu, Junchi Yan:
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. CoRR abs/2210.13014 (2022) - [i75]Haoxuan Wang, Junchi Yan:
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. CoRR abs/2212.01565 (2022) - [i74]Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu:
Localized Contrastive Learning on Graphs. CoRR abs/2212.04604 (2022) - [i73]Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan:
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. CoRR abs/2212.09034 (2022) - 2021
- [j32]Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan:
Image Matching from Handcrafted to Deep Features: A Survey. Int. J. Comput. Vis. 129(1): 23-79 (2021) - [j31]Dezhong Xu, Lifang Wu, Yonghao He, Qing Zhao, Meng Jian, Junchi Yan, Liang Zhao:
OS-LFFD: a light and fast face detector with Ommateum structure. Multim. Tools Appl. 80(26): 34153-34172 (2021) - [j30]Zetian Jiang, Tianzhe Wang, Junchi Yan:
Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3648-3663 (2021) - [j29]Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li:
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. 51(9): 4540-4552 (2021) - [j28]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1177-1191 (2021) - [c133]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang:
Learning Local Neighboring Structure for Robust 3D Shape Representation. AAAI 2021: 1397-1405 - [c132]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo:
Learning Modulated Loss for Rotated Object Detection. AAAI 2021: 2458-2466 - [c131]Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang:
Learning Comprehensive Motion Representation for Action Recognition. AAAI 2021: 2934-2942 - [c130]Xue Yang, Junchi Yan, Ziming Feng, Tao He:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. AAAI 2021: 3163-3171 - [c129]Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang:
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. AAAI 2021: 7011-7019 - [c128]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. AAAI 2021: 8420-8428 - [c127]Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun:
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. AAAI 2021: 10551-10559 - [c126]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. ACL/IJCNLP (1) 2021: 220-231 - [c125]Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CIKM 2021: 231-240 - [c124]Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng:
Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. CVPR 2021: 84-93 - [c123]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR 2021: 5241-5250 - [c122]Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan:
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CVPR 2021: 15819-15829 - [c121]Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu:
Generalizing Face Forgery Detection With High-Frequency Features. CVPR 2021: 16317-16326 - [c120]Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan:
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR 2021: 16775-16784 - [c119]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. EACL 2021: 2877-2887 - [c118]Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan:
Monocular Visual Analysis for Electronic Line Calling of Tennis Games. ICIG (1) 2021: 528-538 - [c117]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR 2021 - [c116]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. ICML 2021: 1606-1616 - [c115]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha:
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML 2021: 11329-11339 - [c114]Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian:
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. ICML 2021: 11830-11841 - [c113]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - [c112]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang:
Learning Spectral Dictionary for Local Representation of Mesh. IJCAI 2021: 685-692 - [c111]Yunhao Zhang, Junchi Yan:
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. IJCAI 2021: 3406-3412 - [c110]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS 2021: 2874-2881 - [c109]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD 2021: 637-645 - [c108]Hao Xiong, Junchi Yan, Li Pan:
Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. KDD 2021: 1913-1923 - [c107]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS 2021: 76-89 - [c106]Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. NeurIPS 2021: 16508-16519 - [c105]Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan:
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. NeurIPS 2021: 18381-18394 - [c104]Qitian Wu, Chenxiao Yang, Junchi Yan:
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. NeurIPS 2021: 19435-19447 - [c103]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS 2021: 21453-21466 - [c102]Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang:
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS 2021: 27107-27118 - [i72]Yuanyuan Ding, Junchi Yan, Guoqiang Hu, Jun Zhu:
Cognitive Visual Inspection Service for LCD Manufacturing Industry. CoRR abs/2101.03747 (2021) - [i71]Haikuan Du, Hui Cao, Shen Cai, Junchi Yan, Siyu Zhang:
Spherical Transformer: Adapting Spherical Signal to CNNs. CoRR abs/2101.03848 (2021) - [i70]Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian:
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. CoRR abs/2101.11952 (2021) - [i69]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. CoRR abs/2102.00397 (2021) - [i68]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. CoRR abs/2102.00431 (2021) - [i67]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. CoRR abs/2102.01331 (2021) - [i66]Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang:
Learning Comprehensive Motion Representation for Action Recognition. CoRR abs/2103.12278 (2021) - [i65]Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu:
Generalizing Face Forgery Detection with High-frequency Features. CoRR abs/2103.12376 (2021) - [i64]Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng:
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB. CoRR abs/2103.14708 (2021) - [i63]Liangliang Shi, Yang Li, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. CoRR abs/2106.00563 (2021) - [i62]Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan:
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. CoRR abs/2106.01883 (2021) - [i61]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR abs/2106.04927 (2021) - [i60]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR abs/2106.12484 (2021) - [i59]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. CoRR abs/2107.04292 (2021) - [i58]Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan:
Monocular Visual Analysis for Electronic Line Calling of Tennis Games. CoRR abs/2107.09255 (2021) - [i57]Ning Zhang, Junchi Yan:
Melody Structure Transfer Network: Generating Music with Separable Self-Attention. CoRR abs/2107.09877 (2021) - [i56]Tianyao He, Wenxuan Liu, Chen Gong, Junchi Yan, Ning Zhang:
Music Plagiarism Detection via Bipartite Graph Matching. CoRR abs/2107.09889 (2021) - [i55]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR abs/2109.04378 (2021) - [i54]Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CoRR abs/2109.11790 (2021) - [i53]Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang:
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection. CoRR abs/2109.11906 (2021) - [i52]Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang:
DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR abs/2109.15273 (2021) - [i51]Qitian Wu, Chenxiao Yang, Junchi Yan:
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. CoRR abs/2110.04514 (2021) - [i50]Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang:
ZARTS: On Zero-order Optimization for Neural Architecture Search. CoRR abs/2110.04743 (2021) - [i49]Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. CoRR abs/2111.00234 (2021) - [i48]Xue Yang, Yue Zhou, Junchi Yan:
AlphaRotate: A Rotation Detection Benchmark using TensorFlow. CoRR abs/2111.06677 (2021) - [i47]Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng:
Input-Specific Robustness Certification for Randomized Smoothing. CoRR abs/2112.12084 (2021) - 2020
- [j27]Bin Liu, Mingyu Wu, Minze Tao, Qin Wang, Luye He, Guoliang Shen, Kai Chen, Junchi Yan:
Video Content Analysis for Compliance Audit in Finance and Security Industry. IEEE Access 8: 117888-117899 (2020) - [j26]Junchi Yan, Xiaoyong Pan, Liangda Li, Changsheng Li, Peng Cui, Chao Ma:
IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications. IEEE Access 8: 210167-210170 (2020) - [j25]Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing motion patterns and key visual information for semantic event recognition in basketball videos. Neurocomputing 413: 217-229 (2020) - [j24]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j23]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [c101]Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI 2020: 1660-1667 - [c100]Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen:
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. ACCV (2) 2020: 268-285 - [c99]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c98]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c97]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c96]Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang:
Layered Neighborhood Expansion for Incremental Multiple Graph Matching. ECCV (10) 2020: 251-267 - [c95]Ning Zhang, Junchi Yan:
Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. ECCV (10) 2020: 617-632 - [c94]Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung:
Discriminative Partial Domain Adversarial Network. ECCV (27) 2020: 632-648 - [c93]Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) 2020: 633-649 - [c92]Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. ECCV (8) 2020: 677-694 - [c91]Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie:
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) 2020: 1692-1705 - [c90]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c89]Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu:
GFTE: Graph-Based Financial Table Extraction. ICPR Workshops (2) 2020: 644-658 - [c88]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR 2020: 1859-1866 - [c87]Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie:
Automatic Student Network Search for Knowledge Distillation. ICPR 2020: 2446-2453 - [c86]Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun:
MergeNAS: Merge Operations into One for Differentiable Architecture Search. IJCAI 2020: 3065-3072 - [c85]Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI 2020: 4988-4996 - [c84]Guolong Wang, Zheng Qin, Junchi Yan, Liu Jiang:
Learning to Select Elements for Graphic Design. ICMR 2020: 91-99 - [c83]Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu:
Adversarial Learning for Robust Deep Clustering. NeurIPS 2020 - [c82]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. NeurIPS 2020 - [c81]Shaofeng Zhang, Meng Liu, Junchi Yan:
The Diversified Ensemble Neural Network. NeurIPS 2020 - [i46]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR abs/2002.04235 (2020) - [i45]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR abs/2002.04238 (2020) - [i44]Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. CoRR abs/2003.05597 (2020) - [i43]Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu:
GFTE: Graph-based Financial Table Extraction. CoRR abs/2003.07560 (2020) - [i42]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR abs/2004.11145 (2020) - [i41]Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. CoRR abs/2004.13316 (2020) - [i40]Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang:
PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds. CoRR abs/2005.13135 (2020) - [i39]Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos. CoRR abs/2007.06288 (2020) - [i38]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR abs/2009.01027 (2020) - [i37]Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen:
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. CoRR abs/2011.06773 (2020) - [i36]Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan:
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CoRR abs/2011.09670 (2020) - [i35]Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR abs/2011.11233 (2020) - [i34]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR abs/2011.15039 (2020) - [i33]Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan:
Deep Reinforcement Learning of Graph Matching. CoRR abs/2012.08950 (2020)
2010 – 2019
- 2019
- [j22]Wei Zhang, Junchi Yan, Zhi-Yong Liu, Zhigang Zeng:
Special issue on deep learning for intelligent sensing, decision-making and control. Neurocomputing 345: 1-2 (2019) - [j21]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1382-1396 (2019) - [j20]Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng:
Editorial. Pattern Recognit. Lett. 127: 1-2 (2019) - [j19]Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha:
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3124-3136 (2019) - [c80]Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Synergizing Local and Global Models for Matrix Approximation. CIKM 2019: 2197-2200 - [c79]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering Using Dual Autoencoder Network. CVPR 2019: 4066-4075 - [c78]Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin:
Transferable AutoML by Model Sharing Over Grouped Datasets. CVPR 2019: 9002-9011 - [c77]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV 2019: 3056-3065 - [c76]Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao:
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. ICCV 2019: 3938-3947 - [c75]Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu:
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. ICCV 2019: 8231-8240 - [c74]Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI 2019: 982-988 - [c73]Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin:
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. IJCAI 2019: 1935-1942 - [c72]Xingbo Du, Junchi Yan, Hongyuan Zha:
Joint Link Prediction and Network Alignment via Cross-graph Embedding. IJCAI 2019: 2251-2257 - [c71]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. IJCAI 2019: 2901-2908 - [c70]Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. KDD 2019: 3227-3228 - [c69]Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen:
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. NeurIPS 2019: 3842-3851 - [c68]Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin:
Differential Privacy with Variant-Noise for Gaussian Processes Classification. PRICAI (3) 2019: 107-119 - [c67]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou:
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM 2019: 55-63 - [i32]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR abs/1904.00597 (2019) - [i31]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering using Dual Autoencoder Network. CoRR abs/1904.13113 (2019) - [i30]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR abs/1905.12345 (2019) - [i29]Xue Yang, Qingqing Liu, Junchi Yan, Ang Li:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. CoRR abs/1908.05612 (2019) - [i28]Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen:
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. CoRR abs/1910.12469 (2019) - [i27]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR abs/1911.09046 (2019) - [i26]Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang:
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. CoRR abs/1911.09309 (2019) - [i25]Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan:
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. CoRR abs/1911.10922 (2019) - [i24]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. CoRR abs/1911.11308 (2019) - 2018
- [j18]Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. IEEE Access 6: 19984-19992 (2018) - [j17]Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha:
On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing 272: 471-480 (2018) - [j16]Chao Zhang, Junchi Yan, Changsheng Li, Rongfang Bie:
Contour detection via stacking random forest learning. Neurocomputing 275: 2702-2715 (2018) - [j15]Chao Zhang, Junchi Yan, Changsheng Li, Hao Wu, Rongfang Bie:
End-to-end learning for image-based air quality level estimation. Mach. Vis. Appl. 29(4): 601-615 (2018) - [j14]Junchi Yan, Changsheng Li, Yin Li, Guitao Cao:
Adaptive Discrete Hypergraph Matching. IEEE Trans. Cybern. 48(2): 765-779 (2018) - [j13]Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha:
A Self-Paced Regularization Framework for Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2660-2666 (2018) - [c66]Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI 2018: 4398-4405 - [c65]Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha:
Learning Conditional Generative Models for Temporal Point Processes. AAAI 2018: 6302-6310 - [c64]Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun:
Session Expert: a Lightweight Conference Session Recommender System. IEEE BigData 2018: 1677-1682 - [c63]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CVPR 2018: 705-713 - [c62]Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li:
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) 2018: 142-158 - [c61]Tong Yang, Shizheng Qin, Junchi Yan, Wenqiang Zhang:
Multi-Label Dilated Recurrent Network for Sequential Face Alignment. ICME 2018: 1-6 - [c60]Guolong Wang, Junchi Yan, Zheng Qin:
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. IJCAI 2018: 957-963 - [c59]Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha:
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI 2018: 1625-1631 - [c58]Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha:
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. IJCAI 2018: 2948-2954 - [c57]Ning Zhang, Junchi Yan, Yuchen Zhou:
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. IJCAI 2018: 4574-4580 - [c56]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD 2018: 2516-2525 - [c55]Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. ICMR 2018: 100-107 - [c54]Hao Xiao, Weiyao Lin, Bin Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong:
Group Re-Identification: Leveraging and Integrating Multi-Grain Information. ACM Multimedia 2018: 192-200 - [c53]Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li:
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS 2018: 861-871 - [i23]Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
tau-FPL: Tolerance-Constrained Learning in Linear Time. CoRR abs/1801.04701 (2018) - [i22]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR abs/1801.06805 (2018) - [i21]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Collaborative Filtering with Stability. CoRR abs/1811.02198 (2018) - 2017
- [j12]Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei:
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. Multim. Tools Appl. 76(13): 14557 (2017) - [j11]Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu:
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1489-1503 (2017) - [j10]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. 26(5): 2438-2453 (2017) - [j9]Chun Yang, Xu-Cheng Yin, Wei-Yi Pei, Shu Tian, Ze-Yu Zuo, Chao Zhu, Junchi Yan:
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming. IEEE Trans. Image Process. 26(7): 3235-3248 (2017) - [c52]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. AAAI 2017: 1295-1301 - [c51]Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu:
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI 2017: 1438-1444 - [c50]Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. AAAI 2017: 1495-1501 - [c49]Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu:
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. AAAI 2017: 1597-1603 - [c48]Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. AAAI 2017: 2175-2181 - [c47]Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He:
Transductive Non-linear Learning for Chinese Hypernym Prediction. ACL (1) 2017: 1394-1404 - [c46]Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM 2017: 398-401 - [c45]Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha:
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR 2017: 3825-3833 - [c44]Chao Zhang, Junchi Yan, Yunting Li, Feng Sun, Jinghai Yan, Dawei Zhang, Xiaoguang Rui, Rongfang Bie:
Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach. ICWS 2017: 636-643 - [c43]Chao Zhang, Baoxian Liu, Junchi Yan, Jinghai Yan, Lingjun Li, Dawei Zhang, Xiaoguang Rui, Rongfang Bie:
Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach. ICWS 2017: 853-856 - [c42]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. NIPS 2017: 3247-3257 - [c41]Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin:
Personalized Key Frame Recommendation. SIGIR 2017: 315-324 - [i20]Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha:
A hybrid approach for risk assessment of loan guarantee network. CoRR abs/1702.04642 (2017) - [i19]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-identification. CoRR abs/1703.06931 (2017) - [i18]Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha:
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR abs/1703.08524 (2017) - [i17]Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. CoRR abs/1704.03718 (2017) - [i16]Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang:
Visual analytics for loan guarantee network risk management. CoRR abs/1705.02937 (2017) - [i15]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. CoRR abs/1705.08051 (2017) - [i14]Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha:
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. CoRR abs/1705.08982 (2017) - [i13]Ning Zhang, Junchi Yan, Yu Chen Zhou:
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. CoRR abs/1711.04121 (2017) - [i12]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CoRR abs/1711.09584 (2017) - [i11]Xiaoyong Pan, Junchi Yan:
Attention based convolutional neural network for predicting RNA-protein binding sites. CoRR abs/1712.02270 (2017) - 2016
- [j8]Zhongchen Miao, Junchi Yan, Kai Chen, Xiaokang Yang, Hongyuan Zha, Wenjun Zhang:
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection. IEEE Access 4: 8500-8513 (2016) - [j7]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1228-1242 (2016) - [j6]Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao:
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval. IEEE Trans. Multim. 18(2): 208-218 (2016) - [c40]Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li:
End-to-End Solution with Clustering Method for Attrition Analysis. SCC 2016: 363-370 - [c39]Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang:
Spatially Regularized Streaming Sensor Selection. AAAI 2016: 3871-3879 - [c38]Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. CCPR (2) 2016: 334-348 - [c37]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Low-Rank Matrix Approximation with Stability. ICML 2016: 295-303 - [c36]Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu:
A constrained clustering based approach for matching a collection of feature sets. ICPR 2016: 3832-3837 - [c35]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang:
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. IJCAI 2016: 1382-1388 - [c34]Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha:
On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI 2016: 2676-2682 - [c33]Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha:
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI 2016: 2690-2696 - [c32]Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang:
A Short Survey of Recent Advances in Graph Matching. ICMR 2016: 167-174 - [c31]Chao Zhang, Junchi Yan, Changsheng Li, Xiaoguang Rui, Liang Liu, Rongfang Bie:
On Estimating Air Pollution from Photos Using Convolutional Neural Network. ACM Multimedia 2016: 297-301 - [i10]Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha:
A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR abs/1603.06036 (2016) - [i9]Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang:
A Self-Paced Regularization Framework for Multi-Label Learning. CoRR abs/1603.06708 (2016) - [i8]Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. CoRR abs/1604.01474 (2016) - [i7]Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu:
A constrained clustering based approach for matching a collection of feature sets. CoRR abs/1606.03731 (2016) - [i6]Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu:
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. CoRR abs/1609.03058 (2016) - 2015
- [j5]Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. IEEE Trans. Image Process. 24(3): 994-1009 (2015) - [c30]Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang:
On Machine Learning towards Predictive Sales Pipeline Analytics. AAAI 2015: 1945-1951 - [c29]Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-View Point Registration via Alternating Optimization. AAAI 2015: 3834-3840 - [c28]Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu:
Discrete hyper-graph matching. CVPR 2015: 1520-1528 - [c27]Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu:
A Matrix Decomposition Perspective to Multiple Graph Matching. ICCV 2015: 199-207 - [c26]Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang:
Person Re-Identification with Correspondence Structure Learning. ICCV 2015: 3200-3208 - [c25]Yang Shen, Weiyao Lin, Junchi Yan, Youping Zhong, Bing Zhou, Huiqing Yin:
Person re-identification fusing via ranking consensus. ICIMCS 2015: 14:1-14:4 - [c24]Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu:
Sales pipeline win propensity prediction: A regression approach. IM 2015: 854-857 - [p1]Yu Wang, Weishan Dong, Junchi Yan, Li Li, Chunhua Tian, Chao Zhang, Zhihu Wang, Chunyang Ma:
Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution. Computational Intelligence in Digital and Network Designs and Applications 2015: 131-157 - [i5]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. CoRR abs/1502.05840 (2015) - [i4]Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu:
Sales pipeline win propensity prediction: a regression approach. CoRR abs/1502.06229 (2015) - [i3]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Active Sample Learning and Feature Selection: A Unified Approach. CoRR abs/1503.01239 (2015) - [i2]Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang:
Person Re-identification with Correspondence Structure Learning. CoRR abs/1504.06243 (2015) - 2014
- [j4]Xiaoyong Pan, Lin Zhu, Yong-Xian Fan, Junchi Yan:
Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection. Comput. Biol. Chem. 53: 324-330 (2014) - [c23]Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan:
Maximizing Multi-scale Spatial Statistical Discrepancy. CIKM 2014: 471-480 - [c22]Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu:
Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) 2014: 407-422 - [c21]Chao Zhang, Xiong Li, Junchi Yan, Stephen Qui, Yu Wang, Chunhua Tian, Yuming Zhao:
Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection. ICPR 2014: 827-832 - 2013
- [j3]Yu Wang, Jin Huang, Weishan Dong, Junchi Yan, Chunhua Tian, Min Li, Wen Ting Mo:
Two-stage based ensemble optimization framework for large-scale global optimization. Eur. J. Oper. Res. 228(2): 308-320 (2013) - [c20]Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu:
Joint Optimization for Consistent Multiple Graph Matching. ICCV 2013: 1649-1656 - [c19]Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong:
Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. IJCAI 2013: 2931-2937 - [i1]Jian Song, Yatao Bian, Junchi Yan, Xu Zhao, Yuncai Liu:
Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration. CoRR abs/1311.6811 (2013) - 2012
- [c18]Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha:
On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV (3) 2012: 821-835 - [c17]Junchi Yan, Chunhua Tian, Yu Wang, Jin Huang:
Online incremental regression for electricity price prediction. SOLI 2012: 31-35 - [c16]Junchi Yan, Chunhua Tian, Jin Huang, Yu Wang:
Load forecasting using Twin Gaussian Process model. SOLI 2012: 36-41 - [c15]Yu Wang, Junchi Yan, Chunhua Tian, Weishan Dong, Jin Huang:
Experimental analysis of different optimization techniques on leakage localization using series alignment. SOLI 2012: 144-149 - [c14]Yu Wang, Chunhua Tian, Junchi Yan, Jin Huang:
A survey on oil / gas pipeline optimization: Problems, methods and challenges. SOLI 2012: 150-155 - [c13]Chunhua Tian, Junchi Yan, Jin Huang, Yu Wang, Dong-Sup Kim, Tongnyoul Yi:
Negative pressure wave based pipeline Leak Detection: Challenges and algorithms. SOLI 2012: 372-376 - 2011
- [c12]Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu:
A Double-Layer Model for Foreground Detection from Video Sequence. ICIG 2011: 517-520 - [c11]Minglei Tong, Junchi Yan, Huanxi Liu, Hong Han:
Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator. ICIG 2011: 766-770 - [c10]Junchi Yan, Minglei Tong:
Weighted sparse coding residual minimization for visual tracking. VCIP 2011: 1-4 - 2010
- [j2]Junchi Yan, Mengyuan Zhu, Huanxi Liu, Yuncai Liu:
Visual Saliency Detection via Sparsity Pursuit. IEEE Signal Process. Lett. 17(8): 739-742 (2010) - [j1]Junchi Yan, Shuhan Shen, Yin Li, Yuncai Liu:
An Optimization Based Framework for Human Pose Estimation. IEEE Signal Process. Lett. 17(8): 766-769 (2010) - [c9]Yin Li, Junchi Yan, Yue Zhou, Jie Yang:
Optimum Subspace Learning and Error Correction for Tensors. ECCV (3) 2010: 790-803 - [c8]Jian Liu, Junchi Yan, Minglei Tong, Yuncai Liu:
A Bayesian framework for 3D human motion tracking from monocular image. ICASSP 2010: 1398-1401 - [c7]Junchi Yan, Jian Liu, Yin Li, Zhibin Niu, Yuncai Liu:
Visual saliency detection via rank-sparsity decomposition. ICIP 2010: 1089-1092 - [c6]Yin Li, Yue Zhou, Junchi Yan, Jie Yang, Xiangjian He:
Tensor error correction for corrupted values in visual data. ICIP 2010: 2321-2324 - [c5]Junchi Yan, Jian Song, Liwei Wang, Yuncai Liu:
Model-based 3D human motion tracking and voxel reconstruction from sparse views. ICIP 2010: 3265-3268
2000 – 2009
- 2009
- [c4]Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang:
Visual Saliency Based on Conditional Entropy. ACCV (1) 2009: 246-257 - [c3]Junchi Yan, Yin Li, EnLiang Zheng, Yuncai Liu:
An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments. ACCV (2) 2009: 313-324 - [c2]Songhao Zhu, Junchi Yan, Yuncai Liu:
Improving Semantic Scene Categorization by Exploiting Audio-Visual Features. ICIG 2009: 435-440 - [c1]Junchi Yan, Jian Liu, Yuncai Liu:
Markless Human Motion Capture by Voxel Labeling. ICIG 2009: 441-446
Coauthor Index
Stephen M. Chu
aka: Stephen Mingyu Chu
aka: Stephen Mingyu Chu
David P. Wipf
aka: David Wipf
aka: David Wipf
[j64] [c248] [c244] [c243] [c237] [c236] [c235] [i188] [i171] [i165] [i157] [i155] [j48] [c210] [c209] [c208] [c189] [c181] [c177] [i152] [i151] [i138] [i137] [i136] [i129] [i128] [i122] [c162] [c153] [c152] [c142] [c138] [c137] [c136] [c135] [i107] [i77] [i76] [i74] [i73] [c115] [c107] [c104] [i60] [i51] [c69] [i28]
[j66] [i191] [i181] [i180] [i178] [i164] [i158] [j60] [j58] [j57] [j52] [j51] [j49] [j46] [c231] [c229] [c227] [c221] [c219] [c215] [c213] [c212] [c202] [i150] [i146] [i145] [j40] [j39] [j36] [j33] [c171] [c168] [c165] [c160] [c154] [c150] [c140] [i111] [i99] [i97] [i94] [i93] [i90] [c133] [c131] [c129] [c127] [c123] [c116] [c112] [c103] [i69] [i66] [i61] [i52] [i50] [j24] [j23] [c96] [c86] [c82] [i41] [i40] [i35] [i34] [j19] [c80] [c77] [c71] [i32] [i30] [i26] [i24] [j18] [c65] [c56] [i22] [c50] [c49] [c42] [i18] [i14] [j8] [j7] [c34] [c33] [c32] [j5] [c30] [c29] [c28] [c27] [i5] [c22] [c20] [c18]
[j61] [c232] [c219] [j45] [j36] [j35] [i102] [c115] [c109] [j24] [j23] [c93] [c88] [i46] [i45] [i42] [j21] [j19] [c72] [i30] [i27] [j18] [j17] [j13] [c66] [c65] [c59] [c58] [c56] [c55] [i23] [i22] [c51] [c50] [c49] [c48] [c46] [c45] [c42] [i20] [i18] [i17] [i15] [i14] [j8] [j7] [c38] [c36] [c34] [c33] [c32] [i10] [i8] [i7] [j5] [c30] [c29] [c28] [c27] [i5] [i3] [c22] [c20] [c19] [c18]
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