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2020 – today
- 2025
[j25]Baoquan Zhang, Bingqi Shan
, Aoxue Li, Chuyao Luo, Yunming Ye, Zhenguo Li:
ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning. Pattern Recognit. 158: 110960 (2025)- [c159]Jingyao Li, Han Shi, Sitong Wu, Chuanyang Zheng, Zhenguo Li, Xin Jiang, Hong Xu, Jiaya Jia:
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. COLING 2025: 508-528 - [i183]Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo:
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR abs/2501.12976 (2025) - [i182]Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C. Yao:
Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis. CoRR abs/2501.18310 (2025) - 2024
- [j24]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 117-133 (2024) - [j23]Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia:
Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1348-1361 (2024) - [j22]Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao:
DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model. IEEE Robotics Autom. Lett. 9(10): 8186-8193 (2024) - [j21]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. Trans. Mach. Learn. Res. 2024 (2024) - [c158]Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo:
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. AAAI 2024: 5599-5606 - [c157]Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok:
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) 2024: 6647-6661 - [c156]Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu:
DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection. CVPR 2024: 5610-5619 - [c155]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CVPR 2024: 7246-7255 - [c154]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CVPR 2024: 8292-8301 - [c153]Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan:
Enhancing the Power of OOD Detection via Sample-Aware Model Selection. CVPR 2024: 17148-17157 - [c152]Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu:
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. CVPR 2024: 21466-21475 - [c151]Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li:
PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. ECCV (32) 2024: 74-91 - [c150]Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li:
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. ECCV (84) 2024: 354-370 - [c149]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. ECCV (17) 2024: 388-404 - [c148]Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok:
Implicit Concept Removal of Diffusion Models. ECCV (21) 2024: 457-473 - [c147]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR 2024 - [c146]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 2024 - [c145]Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR 2024 - [c144]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. ICLR 2024 - [c143]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. ICLR 2024 - [c142]Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo:
Large Language Models as Automated Aligners for benchmarking Vision-Language Models. ICLR 2024 - [c141]Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. ICLR 2024 - [c140]Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu:
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR 2024 - [c139]Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi:
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. ICML 2024 - [c138]Yaning Wang, Zhenguo Li, Peng Wang, Yihang Cheng, Fule Li, Yi Hu, Jiali Hou, Meng Su, Mengjiao Li:
A Floating-Ring Hybrid Amplifier Insensitive to PVT and Common-mode Variation without CMFB for High-Speed ADCs. ISCAS 2024: 1-5 - [c137]Jianming Pan, Meng Su, Fule Li, Yidong Yuan, Yi Hu, Zhenguo Li, Rui Zhang, Jiali Hou, Yabin Wang:
A 3-MHz-3-GHz 8-Phase Reset-Free Anti-Harmonic Delay-Locked Loop Using Phase Difference Composition in 65-nm CMOS. MWSCAS 2024: 451-454 - [c136]Rui Zhang, Yabin Wang, Fule Li, Yidong Yuan, Yi Hu, Hongwei Shen, Zhenguo Li, Jiaming Pan, Jiali Hou:
A High Linearity ADC Front-End Circuit for Single-Ended Inputs. MWSCAS 2024: 942-945 - [c135]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. NAACL-HLT (Findings) 2024: 4465-4480 - [c134]Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang:
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. NeurIPS 2024 - [c133]Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu:
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing. NeurIPS 2024 - [c132]Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang:
Proving Theorems Recursively. NeurIPS 2024 - [c131]Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong:
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models. NeurIPS 2024 - [c130]Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li:
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. NeurIPS 2024 - [c129]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation. NeurIPS 2024 - [c128]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. WACV 2024: 1668-1678 - [i181]Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li:
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models. CoRR abs/2401.05252 (2024) - [i180]Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li:
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. CoRR abs/2401.09962 (2024) - [i179]Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li:
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation. CoRR abs/2401.15688 (2024) - [i178]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR abs/2402.05382 (2024) - [i177]Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong:
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. CoRR abs/2402.07754 (2024) - [i176]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. CoRR abs/2402.08957 (2024) - [i175]Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu:
On the Expressive Power of a Variant of the Looped Transformer. CoRR abs/2402.13572 (2024) - [i174]Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi:
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR abs/2402.15170 (2024) - [i173]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR abs/2402.17376 (2024) - [i172]Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. CoRR abs/2403.04692 (2024) - [i171]Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou:
Efficient Transferability Assessment for Selection of Pre-trained Detectors. CoRR abs/2403.09432 (2024) - [i170]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR abs/2403.09433 (2024) - [i169]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR abs/2403.09572 (2024) - [i168]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR abs/2403.13304 (2024) - [i167]Tianwei Xiong, Yue Wu, Enze Xie, Yue Wu, Zhenguo Li, Xihui Liu:
Editing Massive Concepts in Text-to-Image Diffusion Models. CoRR abs/2403.13807 (2024) - [i166]Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu:
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. CoRR abs/2403.16885 (2024) - [i165]Tianqi Wang, Enze Xie, Ruihang Chu, Zhenguo Li, Ping Luo:
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving. CoRR abs/2403.16996 (2024) - [i164]Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu:
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection. CoRR abs/2404.09216 (2024) - [i163]Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR abs/2404.10595 (2024) - [i162]Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok:
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR abs/2405.00557 (2024) - [i161]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR abs/2405.06677 (2024) - [i160]Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR abs/2405.14224 (2024) - [i159]Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang:
Proving Theorems Recursively. CoRR abs/2405.14414 (2024) - [i158]Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR abs/2405.14475 (2024) - [i157]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR abs/2405.14722 (2024) - [i156]Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu:
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation. CoRR abs/2405.15302 (2024) - [i155]Aoxue Li, Mingyang Yi, Zhenguo Li:
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR abs/2405.15313 (2024) - [i154]Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li:
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR abs/2405.15330 (2024) - [i153]Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li:
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. CoRR abs/2406.03736 (2024) - [i152]Jingyao Li, Han Shi, Xin Jiang, Zhenguo Li, Hong Xu, Jiaya Jia:
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. CoRR abs/2406.07528 (2024) - [i151]Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong:
Jailbreaking as a Reward Misspecification Problem. CoRR abs/2406.14393 (2024) - [i150]Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu:
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing. CoRR abs/2407.05600 (2024) - [i149]Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu:
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation. CoRR abs/2407.14505 (2024) - [i148]Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li:
CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration. CoRR abs/2409.11365 (2024) - [i147]Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu:
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CoRR abs/2409.18042 (2024) - [i146]Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. CoRR abs/2410.01699 (2024) - [i145]Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. CoRR abs/2410.04798 (2024) - [i144]Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang:
How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs. CoRR abs/2410.13857 (2024) - [i143]Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. CoRR abs/2410.14157 (2024) - [i142]Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration. CoRR abs/2410.16736 (2024) - [i141]Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control. CoRR abs/2411.13807 (2024) - [i140]Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng:
Efficient Multi-modal Large Language Models via Visual Token Grouping. CoRR abs/2411.17773 (2024) - [i139]Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang:
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. CoRR abs/2411.19757 (2024) - [i138]Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang:
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator. CoRR abs/2412.12094 (2024) - 2023
- [j20]Weibo Hu, Xiang Yan, Haitao Cui, Jingbin Feng, Yi Hu, Jiali Hou, Zhenguo Li, Chao Lu, Zhiming Xiao, Wei Ma:
A non-pipelined ADC with a GM-R amplifier. Microelectron. J. 137: 105807 (2023) - [j19]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(4): 3389-3403 (2023) - [c127]Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li:
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI 2023: 4250-4258 - [c126]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI 2023: 9918-9926 - [c125]Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang:
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. ACL (1) 2023: 12632-12646 - [c124]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC 2023: 93 - [c123]Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang:
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CVPR 2023: 16508-16517 - [c122]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR 2023: 22742-22751 - [c121]Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu:
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CVPR 2023: 23497-23506 - [c120]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. ICCV 2023: 4044-4054 - [c119]Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li:
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. ICCV 2023: 4207-4216 - [c118]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. ICCV 2023: 6769-6779 - [c117]Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo:
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. ICCV 2023: 8687-8697 - [c116]Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo:
DDP: Diffusion Model for Dense Visual Prediction. ICCV 2023: 21684-21695 - [c115]Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo:
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. ICLR 2023 - [c114]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR 2023 - [c113]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR 2023 - [c112]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR 2023 - [c111]Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma:
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML 2023: 4623-4640 - [c110]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS 2023 - [c109]Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li:
Complexity Matters: Rethinking the Latent Space for Generative Modeling. NeurIPS 2023 - [c108]Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu:
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. NeurIPS 2023 - [c107]Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS 2023 - [c106]Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS 2023 - [c105]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS 2023 - [c104]Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li:
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys 2023: 183-194 - [c103]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [i137]Yikai Wang, Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu:
Entity-Level Text-Guided Image Manipulation. CoRR abs/2302.11383 (2023) - [i136]Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang:
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR abs/2303.11052 (2023) - [i135]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR abs/2303.17152 (2023) - [i134]Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo:
DDP: Diffusion Model for Dense Visual Prediction. CoRR abs/2303.17559 (2023) - [i133]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR abs/2304.00295 (2023) - [i132]Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo:
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. CoRR abs/2304.01168 (2023) - [i131]Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu:
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CoRR abs/2304.04514 (2023) - [i130]Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li:
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. CoRR abs/2304.06648 (2023) - [i129]Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li:
Progressive-Hint Prompting Improves Reasoning in Large Language Models. CoRR abs/2304.09797 (2023) - [i128]Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo:
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. CoRR abs/2304.09801 (2023) - [i127]Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li:
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR abs/2305.05208 (2023) - [i126]Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee:
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts. CoRR abs/2305.08850 (2023) - [i125]Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu:
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR abs/2305.11031 (2023) - [i124]Mingyang Yi, Jiacheng Sun, Zhenguo Li:
On the Generalization of Diffusion Model. CoRR abs/2305.14712 (2023) - [i123]Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR abs/2305.18455 (2023) - [i122]Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma:
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR abs/2306.02595 (2023) - [i121]Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR abs/2306.04607 (2023) - [i120]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i119]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i118]Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR abs/2307.01831 (2023) - [i117]Jingwei Zhang, Han Shi, Jincheng Yu, Enze Xie, Zhenguo Li:
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks. CoRR abs/2307.02159 (2023) - [i116]Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu:
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. CoRR abs/2307.06350 (2023) - [i115]Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang:
A Causal Framework to Unify Common Domain Generalization Approaches. CoRR abs/2307.06825 (2023) - [i114]Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li:
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR abs/2307.08283 (2023) - [i113]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. CoRR abs/2308.07732 (2023) - [i112]Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok:
Forward-Backward Reasoning in Large Language Models for Verification. CoRR abs/2308.07758 (2023) - [i111]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. CoRR abs/2308.13853 (2023) - [i110]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR abs/2309.05019 (2023) - [i109]Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu:
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR abs/2309.12284 (2023) - [i108]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. CoRR abs/2309.15806 (2023) - [i107]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. CoRR abs/2310.00426 (2023) - [i106]Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. CoRR abs/2310.00656 (2023) - [i105]Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao:
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model. CoRR abs/2310.01412 (2023) - [i104]Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok:
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR abs/2310.01886 (2023) - [i103]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR abs/2310.02601 (2023) - [i102]Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok:
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR abs/2310.05873 (2023) - [i101]Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang:
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR abs/2310.06622 (2023) - [i100]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR abs/2310.10477 (2023) - [i99]Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee:
Animate124: Animating One Image to 4D Dynamic Scene. CoRR abs/2311.14603 (2023) - [i98]Yao Teng, Enze Xie, Yue Wu, Haoyu Han, Zhenguo Li, Xihui Liu:
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction. CoRR abs/2312.02936 (2023) - [i97]Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li:
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR abs/2312.07231 (2023) - [i96]Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong:
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. CoRR abs/2312.11370 (2023) - [i95]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - [i94]Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang:
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR abs/2312.15856 (2023) - 2022
- [j18]Guangyuan Xing, Yi Li, Haixu Bao, Guoxing Zhang, Zhenguo Li:
The Chinese system of government relief supplies: from the perspective of knowledge management. J. Knowl. Manag. 26(5): 1306-1318 (2022) - [j17]Yi Hu, Zhenguo Li, Jiali Hou, Wei Ma, Chao Lu, Zhiming Xiao, Huigang Liu, Weibo Hu:
A constant charging-current relaxation oscillator with a duty-cycled main comparator and an adaptive auxiliary comparator. Microelectron. J. 128: 105566 (2022) - [j16]Zheng Wei, Yinze Wang, Wenlin Weng, Zhen Zhou, Zhenguo Li:
Research on Tunnel Construction Monitoring Method Based on 3D Laser Scanning Technology. Symmetry 14(10): 2065 (2022) - [j15]Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li:
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2653-2666 (2022) - [j14]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022) - [c102]Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. AAAI 2022: 1854-1862 - [c101]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI 2022: 10663-10671 - [c100]Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li:
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. BMVC 2022: 872 - [c99]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CVPR 2022: 3729-3738 - [c98]Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li:
Long-tail Recognition via Compositional Knowledge Transfer. CVPR 2022: 6929-6938 - [c97]Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu:
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR 2022: 7937-7948 - [c96]Aoxue Li, Peng Yuan, Zhenguo Li:
Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes. CVPR 2022: 9799-9808 - [c95]Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu:
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CVPR 2022: 10697-10707 - [c94]Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang:
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. CVPR 2022: 11871-11881 - [c93]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. ECCV (36) 2022: 22-38 - [c92]Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li:
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. ECCV (39) 2022: 125-142 - [c91]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 2022: 406-423 - [c90]Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. ICLR 2022 - [c89]Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 - [c88]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. ICLR 2022 - [c87]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li:
On Redundancy and Diversity in Cell-based Neural Architecture Search. ICLR 2022 - [c86]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. ICLR 2022 - [c85]Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan:
Nonlinear ICA Using Volume-Preserving Transformations. ICLR 2022 - [c84]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR 2022 - [c83]Yao Zhu, Jiacheng Sun, Zhenguo Li:
Rethinking Adversarial Transferability from a Data Distribution Perspective. ICLR 2022 - [c82]Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang:
Improving Model Training with Multi-fidelity Hyperparameter Evaluation. MLSys 2022 - [c81]Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS 2022 - [c80]Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. NeurIPS 2022 - [c79]Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang:
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. NeurIPS 2022 - [c78]Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu:
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. NeurIPS 2022 - [i93]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. CoRR abs/2201.11679 (2022) - [i92]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. CoRR abs/2202.06592 (2022) - [i91]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. CoRR abs/2202.08625 (2022) - [i90]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR abs/2203.07724 (2022) - [i89]Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li:
On Redundancy and Diversity in Cell-based Neural Architecture Search. CoRR abs/2203.08887 (2022) - [i88]Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. CoRR abs/2203.15207 (2022) - [i87]Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu:
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. CoRR abs/2204.04428 (2022) - [i86]Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang:
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. CoRR abs/2204.05941 (2022) - [i85]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. CoRR abs/2205.12679 (2022) - [i84]Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. CoRR abs/2205.13267 (2022) - [i83]Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo:
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. CoRR abs/2206.04028 (2022) - [i82]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CoRR abs/2206.05279 (2022) - [i81]Zhou Liu, Yujun Li, Zhengying Liu, Lin Li, Zhenguo Li:
Learning to Prove Trigonometric Identities. CoRR abs/2207.06679 (2022) - [i80]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Improved OOD Generalization via Conditional Invariant Regularizer. CoRR abs/2207.06687 (2022) - [i79]Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li:
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. CoRR abs/2209.06351 (2022) - [i78]Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu:
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. CoRR abs/2209.09407 (2022) - [i77]Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang:
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. CoRR abs/2210.04264 (2022) - [i76]Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li:
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. CoRR abs/2210.08748 (2022) - [i75]Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR abs/2210.09236 (2022) - [i74]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. CoRR abs/2210.17322 (2022) - [i73]Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li:
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models. CoRR abs/2212.12720 (2022) - 2021
- [j13]Yanjun Shen, Zhenguo Li, Gang Yu:
Output feedback $H_\infty$ control of networked control systems based on two channel event-triggered mechanisms. Kybernetika 57(1): 118-140 (2021) - [j12]Liufu Xiang, Yifan Ding, Zheng Wei, Hao Zhang, Zhenguo Li:
Research on the Detection Method of Tunnel Surface Flatness Based on Point Cloud Data. Symmetry 13(12): 2239 (2021) - [c77]Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li:
How to Save your Annotation Cost for Panoptic Segmentation? AAAI 2021: 1282-1290 - [c76]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. AAAI 2021: 3333-3341 - [c75]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI 2021: 6705-6713 - [c74]Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI 2021: 11097-11105 - [c73]Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li:
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. CVPR 2021: 620-629 - [c72]Aoxue Li, Zhenguo Li:
Transformation Invariant Few-Shot Object Detection. CVPR 2021: 3094-3102 - [c71]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CVPR 2021: 5251-5260 - [c70]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. CVPR 2021: 5383-5392 - [c69]Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation. CVPR 2021: 10175-10184 - [c68]Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu:
Adversarial Invariant Learning. CVPR 2021: 12446-12454 - [c67]Fan Jiang, Chunzhi Wang, Lingyu Yan, Zhenguo Li:
Research of Network Traffic Classification Based on Ensemble Learning. ICCSE 2021: 648-652 - [c66]Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool:
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV 2021: 3273-3282 - [c65]Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. ICCV 2021: 3571-3580 - [c64]Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. ICCV 2021: 5077-5086 - [c63]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV 2021: 7526-7534 - [c62]Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. ICCV 2021: 7708-7717 - [c61]Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li:
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV 2021: 8300-8309 - [c60]Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo:
DetCo: Unsupervised Contrastive Learning for Object Detection. ICCV 2021: 8372-8381 - [c59]Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. ICCV 2021: 8548-8557 - [c58]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. ICLR 2021 - [c57]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML 2021: 9547-9557 - [c56]Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He:
An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD 2021: 2910-2918 - [c55]Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu:
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys 2021 - [c54]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks 2021 - [c53]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. NeurIPS 2021: 3694-3705 - [c52]Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS 2021: 4555-4569 - [c51]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks 2021 - [c50]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. NeurIPS 2021: 5822-5833 - [c49]Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. NeurIPS 2021: 19525-19537 - [c48]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS 2021: 23519-23531 - [c47]Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li:
Learning to Build High-Fidelity and Robust Environment Models. ECML/PKDD (1) 2021: 104-121 - [i72]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CoRR abs/2101.00407 (2021) - [i71]Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu:
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR abs/2101.01400 (2021) - [i70]Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li:
Out-of-Distribution Generalization Analysis via Influence Function. CoRR abs/2101.08521 (2021) - [i69]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. CoRR abs/2102.04700 (2021) - [i68]Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo:
DetCo: Unsupervised Contrastive Learning for Object Detection. CoRR abs/2102.04803 (2021) - [i67]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR abs/2102.12871 (2021) - [i66]Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia:
Unsupervised Pretraining for Object Detection by Patch Reidentification. CoRR abs/2103.04814 (2021) - [i65]Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li:
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. CoRR abs/2103.16211 (2021) - [i64]Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR abs/2104.12081 (2021) - [i63]Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo:
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. CoRR abs/2105.06423 (2021) - [i62]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CoRR abs/2105.11871 (2021) - [i61]Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation. CoRR abs/2105.12971 (2021) - [i60]Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li:
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR abs/2106.03721 (2021) - [i59]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR abs/2106.04496 (2021) - [i58]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Multiple Tasks via Learning to Decompose. CoRR abs/2106.08112 (2021) - [i57]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR abs/2106.11037 (2021) - [i56]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR abs/2106.11118 (2021) - [i55]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR abs/2107.07445 (2021) - [i54]Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR abs/2108.03434 (2021) - [i53]Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. CoRR abs/2108.07482 (2021) - [i52]Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. CoRR abs/2108.09093 (2021) - [i51]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR abs/2108.12178 (2021) - [i50]Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. CoRR abs/2109.00946 (2021) - [i49]Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li:
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR abs/2109.02038 (2021) - [i48]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR abs/2109.05765 (2021) - [i47]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. CoRR abs/2111.00965 (2021) - [i46]Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. CoRR abs/2111.01662 (2021) - [i45]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR abs/2111.03318 (2021) - [i44]Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR abs/2111.05073 (2021) - [i43]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR abs/2111.07783 (2021) - [i42]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. CoRR abs/2111.08550 (2021) - [i41]Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. CoRR abs/2112.03657 (2021) - [i40]Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong:
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. CoRR abs/2112.05387 (2021) - [i39]Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li:
Long-tail Recognition via Compositional Knowledge Transfer. CoRR abs/2112.06741 (2021) - 2020
- [c46]Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li:
Meta-Learning PAC-Bayes Priors in Model Averaging. AAAI 2020: 4198-4205 - [c45]Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. AAAI 2020: 5875-5882 - [c44]Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li:
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement. AAAI 2020: 10778-10785 - [c43]Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. AAAI 2020: 12492-12499 - [c42]Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. AAAI 2020: 12661-12668 - [c41]Kuan Li, Chenglie Du, Zhenguo Li:
Blockchain as a Dissipative System and Cognitive Space. BSCI 2020: 210-211 - [c40]Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He:
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. CIKM 2020: 625-634 - [c39]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CVPR 2020: 11353-11362 - [c38]Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. CVPR 2020: 11860-11869 - [c37]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR 2020: 12573-12581 - [c36]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search. ECCV (19) 2020: 185-202 - [c35]Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li:
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling. ECCV (5) 2020: 560-575 - [c34]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. ECCV (15) 2020: 689-704 - [c33]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. IJCAI 2020: 2326-2332 - [c32]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD 2020: 2636-2645 - [c31]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. NeurIPS 2020 - [c30]Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang:
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS. NeurIPS 2020 - [c29]Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li:
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR 2020: 199-208 - [c28]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW 2020: 2507-2513 - [i38]Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li:
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. CoRR abs/2001.08437 (2020) - [i37]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR abs/2001.10378 (2020) - [i36]Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. CoRR abs/2002.07417 (2020) - [i35]Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li:
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement. CoRR abs/2002.07421 (2020) - [i34]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR abs/2003.11235 (2020) - [i33]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CoRR abs/2005.09917 (2020) - [i32]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR abs/2005.13826 (2020) - [i31]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. CoRR abs/2006.00701 (2020) - [i30]Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li:
Risk Variance Penalization: From Distributional Robustness to Causality. CoRR abs/2006.07544 (2020) - [i29]Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. CoRR abs/2006.09104 (2020) - [i28]Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang:
Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR abs/2007.01356 (2020) - [i27]Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang:
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization. CoRR abs/2007.05670 (2020) - [i26]Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li:
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling. CoRR abs/2007.09336 (2020) - [i25]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search. CoRR abs/2007.09380 (2020) - [i24]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. CoRR abs/2007.12147 (2020) - [i23]Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong:
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks. CoRR abs/2009.01462 (2020) - [i22]Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR abs/2011.01507 (2020) - [i21]Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li:
MOFA: Modular Factorial Design for Hyperparameter Optimization. CoRR abs/2011.09545 (2020) - [i20]Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li:
Batch Group Normalization. CoRR abs/2012.02782 (2020) - [i19]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. CoRR abs/2012.03603 (2020) - [i18]Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He:
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR abs/2012.08986 (2020) - [i17]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR abs/2012.09382 (2020) - [i16]Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR abs/2012.12076 (2020)
2010 – 2019
- 2019
- [c27]Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. CVPR 2019: 6419-6428 - [c26]Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li:
Spatial-Aware Graph Relation Network for Large-Scale Object Detection. CVPR 2019: 9298-9307 - [c25]Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang:
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. ICCV 2019: 6648-6657 - [c24]Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang:
Meta Reinforcement Learning with Task Embedding and Shared Policy. IJCAI 2019: 2794-2800 - [i15]Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang:
Meta Reinforcement Learning with Task Embedding and Shared Policy. CoRR abs/1905.06527 (2019) - [i14]Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li:
DARTS+: Improved Differentiable Architecture Search with Early Stopping. CoRR abs/1909.06035 (2019) - [i13]Guilin Li, Xing Zhang, Zitong Wang, Zhenguo Li, Tong Zhang:
StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search. CoRR abs/1909.11926 (2019) - [i12]Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang:
Multi-objective Neural Architecture Search via Predictive Network Performance Optimization. CoRR abs/1911.09336 (2019) - [i11]Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. CoRR abs/1911.09929 (2019) - [i10]Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li:
Meta-Learning PAC-Bayes Priors in Model Averaging. CoRR abs/1912.11252 (2019) - 2018
- [j11]Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan:
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Trans. Knowl. Data Eng. 30(1): 73-86 (2018) - [c23]Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan:
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). ICDE 2018: 1773-1774 - [i9]Fengwei Zhou, Bin Wu, Zhenguo Li:
Deep Meta-Learning: Learning to Learn in the Concept Space. CoRR abs/1802.03596 (2018) - [i8]Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He:
Federated Meta-Learning for Recommendation. CoRR abs/1802.07876 (2018) - [i7]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong:
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR abs/1804.04950 (2018) - [i6]Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh:
Meta-Learning for Few-shot Camera-Adaptive Color Constancy. CoRR abs/1811.11788 (2018) - 2017
- [c22]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
A Graph-Based Push Service Platform. DASFAA (2) 2017: 636-648 - [c21]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. IJCAI 2017: 1725-1731 - [c20]Chenzi Zhang, Fan Wei, Qin Liu, Zhihao Gavin Tang, Zhenguo Li:
Graph Edge Partitioning via Neighborhood Heuristic. KDD 2017: 605-614 - [i5]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs/1703.04247 (2017) - [i4]Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li:
Meta-SGD: Learning to Learn Quickly for Few Shot Learning. CoRR abs/1707.09835 (2017) - 2016
- [j10]Bin Wu, Ke Yi, Zhenguo Li:
Counting Triangles in Large Graphs by Random Sampling. IEEE Trans. Knowl. Data Eng. 28(8): 2013-2026 (2016) - [j9]Qin Liu, Jiefeng Cheng, Zhenguo Li, John C. S. Lui:
VENUS: A System for Streamlined Graph Computation on a Single PC. IEEE Trans. Knowl. Data Eng. 28(8): 2230-2245 (2016) - [c19]Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng:
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition. CIKM 2016: 195-204 - [i3]Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan:
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs. CoRR abs/1604.08691 (2016) - [i2]Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng:
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition. CoRR abs/1608.06054 (2016) - [i1]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He:
A Graph-based Push Service Platform. CoRR abs/1611.09496 (2016) - 2015
- [j8]Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C. S. Lui:
Walking in the Cloud: Parallel SimRank at Scale. Proc. VLDB Endow. 9(1): 24-35 (2015) - [c18]Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang:
New insights into Laplacian similarity search. CVPR 2015: 1949-1957 - [c17]Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu:
Piecewise linear approximation of streaming time series data with max-error guarantees. ICDE 2015: 173-184 - [c16]Jiefeng Cheng, Qin Liu, Zhenguo Li, Wei Fan, John C. S. Lui, Cheng He:
VENUS: Vertex-centric streamlined graph computation on a single PC. ICDE 2015: 1131-1142 - 2014
- [j7]Deli Pei, Zhenguo Li, Rongrong Ji, Fuchun Sun:
Efficient semantic image segmentation with multi-class ranking prior. Comput. Vis. Image Underst. 120: 81-90 (2014) - [j6]Qiang Zheng, Enqing Dong, Zhulou Cao, Wenyan Sun, Zhenguo Li:
Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images. Signal Process. 97: 117-133 (2014) - [j5]Enqing Dong, Qiang Zheng, Wenyan Sun, Zhenguo Li, Li Li:
Constrained multiplicative graph cuts based active contour model for magnetic resonance brain image series segmentation. Signal Process. 104: 59-69 (2014) - [c15]Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang:
Locally Linear Hashing for Extracting Non-linear Manifolds. CVPR 2014: 2123-2130 - 2013
- [j4]Qiang Zheng, Enqing Dong, Zhulou Cao, Wenyan Sun, Zhenguo Li:
Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity. Signal Process. 93(4): 961-966 (2013) - [c14]Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang:
A Bayesian Approach to Multimodal Visual Dictionary Learning. CVPR 2013: 329-336 - [c13]Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang:
Analyzing the Harmonic Structure in Graph-Based Learning. NIPS 2013: 3129-3137 - 2012
- [c12]Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang:
Segmentation using superpixels: A bipartite graph partitioning approach. CVPR 2012: 789-796 - [c11]Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang:
Submodular video hashing: a unified framework towards video pooling and indexing. ACM Multimedia 2012: 299-308 - [c10]Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, Shih-Fu Chang:
Learning with Partially Absorbing Random Walks. NIPS 2012: 3086-3094 - 2011
- [j3]Yu-Gang Jiang, Zhenguo Li, Shih-Fu Chang:
Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples. IEEE Trans. Circuits Syst. Video Technol. 21(5): 674-681 (2011)
2000 – 2009
- 2009
- [j2]Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang:
Responses to the Comments on "Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings". IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1726-1728 (2009) - [c9]Zhenguo Li, Jianzhuang Liu, Xiaoou Tang:
Constrained clustering via spectral regularization. CVPR 2009: 421-428 - [c8]Zhenguo Li, Jianzhuang Liu:
Constrained clustering by spectral kernel learning. ICCV 2009: 421-427 - [c7]Xiao-Ming Wu, Anthony Man-Cho So, Zhenguo Li, Shuo-Yen Robert Li:
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming. NIPS 2009: 1964-1972 - 2008
- [j1]Jianzhuang Liu, Liangliang Cao, Zhenguo Li, Xiaoou Tang:
Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 315-327 (2008) - [c6]Zhenguo Li, Jianzhuang Liu, Xiaoou Tang:
Pairwise constraint propagation by semidefinite programming for semi-supervised classification. ICML 2008: 576-583 - 2007
- [c5]Zhenguo Li, Jianzhuang Liu, Xiaoou Tang:
A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images. CVPR 2007 - [c4]Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang:
Noise Robust Spectral Clustering. ICCV 2007: 1-8 - [c3]Shifeng Chen, Zhenguo Li, Jianzhuang Liu, Xiaoou Tang:
Image matting using linear optimization. ACM Multimedia 2007: 321-324 - 2006
- [c2]Zhenguo Li, Jianzhuang Liu, Xiaoou Tang:
Shape from regularities for interactive 3D reconstruction of piecewise planar objects from single images. ACM Multimedia 2006: 85-88 - 2003
- [c1]Kuanquan Wang, Lisheng Xu, Zhenguo Li, David Zhang, Naimin Li, Shuying Wang:
Approximate Entropy Based Pulse Variability Analysis. CBMS 2003: 236-241
Coauthor Index
[j24] [c155] [c152] [c149] [c148] [c147] [c146] [c145] [c134] [i178] [i169] [i168] [i166] [i163] [i162] [i158] [i148] [i147] [i141] [i139] [c126] [c123] [c122] [c117] [c116] [c113] [c106] [i136] [i135] [i134] [i133] [i128] [i127] [i126] [i125] [i121] [i118] [i103] [i102] [i101] [i100] [i99] [i96] [i94] [j14] [c102] [c100] [c97] [c93] [c92] [c91] [c90] [c89] [c86] [i92] [i90] [i88] [i84] [i79] [i76] [i74] [c75] [c74] [c70] [c63] [c61] [c59] [c54] [i72] [i71] [i64] [i60] [i58] [i56] [i51] [i50] [i49] [i48] [i22] [i17] [i16]
James T. Kwok
aka: James Tin-Yau Kwok
aka: James Tin-Yau Kwok
[c156] [c143] [c141] [c135] [c132] [i176] [i164] [i161] [i159] [i147] [c125] [c121] [c114] [i131] [i127] [i106] [c101] [c94] [c91] [c88] [c84] [c78] [i91] [i90] [i86] [i85] [i78] [c76] [c71] [c66] [c64] [c58] [c57] [c54] [c51] [i69] [i67] [i62] [i57] [i56] [i55] [i54] [i43] [c43] [c42] [c38] [c36] [c34] [i36] [i25] [i24] [i19] [c27] [c26] [c25] [i11]
[j23] [j22] [j21] [c158] [c154] [c151] [c150] [c147] [c145] [c144] [c142] [c141] [i181] [i180] [i179] [i175] [i173] [i172] [i167] [i165] [c125] [c120] [c119] [c117] [c116] [c110] [c108] [c106] [i134] [i132] [i130] [i129] [i128] [i126] [i121] [i120] [i118] [i117] [i116] [i111] [i108] [i107] [i106] [i105] [i103] [i99] [i98] [i97] [i95] [i94] [c60] [i68] [i66]
[j23] [c156] [c149] [c148] [c146] [i178] [i169] [i164] [i147] [c122] [c121] [c115] [c114] [c113] [i137] [i135] [i131] [i127] [i102] [i100] [i96] [c102] [c101] [c95] [c94] [c93] [c92] [c91] [c88] [c84] [c78] [i91] [i90] [i87] [i86] [i85] [i84] [i83] [i79] [i78] [i74] [c77] [c76] [c71] [c69] [c66] [c65] [c64] [c63] [c60] [c59] [c58] [c57] [c54] [c51] [i69] [i68] [i67] [i66] [i63] [i62] [i61] [i57] [i56] [i55] [i54] [i53] [i51] [i50] [i43] [c44] [c43] [c42] [c38] [c36] [c35] [c34] [c30] [i36] [i35] [i26] [i25] [i24] [i22] [i19] [c27] [c26] [c25] [i12] [i11]
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