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Jian Liang
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2020 – today
- 2024
- [j68]Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai:
Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2936-2949 (2024) - [j67]Shengpeng Chen, Wenyi Yang, Wei Wang, Jianting Mai, Jian Liang, Xiaohu Zhang:
Spacecraft Homography Pose Estimation with Single-Stage Deep Convolutional Neural Network. Sensors 24(6): 1828 (2024) - [j66]Hanyue Wei, Yifu Zhou, Feiya Ma, Rui Yang, Jian Liang, Liyong Ren:
Full-Automatic High-Efficiency Mueller Matrix Microscopy Imaging for Tissue Microarray Inspection. Sensors 24(14): 4703 (2024) - [j65]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1376-1387 (2024) - [j64]Supeng Xu, Zixiang Jin, Guoming Jiang, Guibin Zhang, Jian Liang, Wei Sun, Lianzhi Zhang, Zhenyu Fan, Genwang Dong:
Improved Towed Airborne Three-Axis Magnetic Gradient Anomalies Navigation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j63]Zongyang Zhao, Jiehu Kang, Bin Wu, Tao Ye, Jian Liang:
AE-Net: A High Accuracy and Efficient Network for Railway Obstacle Detection Based on Convolution and Transformer. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c117]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. AAAI 2024: 6431-6439 - [c116]Jiyang Guan, Jian Liang, Ran He:
Backdoor Defense via Test-Time Detecting and Repairing. CVPR 2024: 24564-24573 - [c115]Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang:
CLAP: Collaborative Adaptation for Patchwork Learning. ICLR 2024 - [c114]Yanbo Wang, Jian Liang, Ran He:
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. ICLR 2024 - [c113]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. ICLR 2024 - [c112]Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo:
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML 2024 - [c111]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. ICML 2024 - [c110]Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. ICML 2024 - [c109]Qingmeng Zhu, Tianxing Lan, Jian Liang, Deliang Xiang, Hao He:
Feature Alignment and Reconstruction Constraints for Multimodal Sentiment Analysis. IJCNN 2024: 1-6 - [i87]Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. CoRR abs/2401.02329 (2024) - [i86]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR abs/2401.06030 (2024) - [i85]Yanbo Wang, Jian Liang, Ran He:
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. CoRR abs/2402.03124 (2024) - [i84]Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. CoRR abs/2402.04050 (2024) - [i83]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR abs/2402.04087 (2024) - [i82]Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang:
Which Model to Transfer? A Survey on Transferability Estimation. CoRR abs/2402.15231 (2024) - [i81]Jiuniu Wang, Zehua Du, Yuyuan Zhao, Bo Yuan, Kexiang Wang, Jian Liang, Yaxi Zhao, Yihen Lu, Gengliang Li, Junlong Gao, Xin Tu, Zhenyu Guo:
AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production. CoRR abs/2403.07952 (2024) - [i80]Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang:
Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. CoRR abs/2403.10261 (2024) - [i79]Peipei Liu, Gaosheng Wang, Ying Tong, Jian Liang, Zhenquan Ding, Hongsong Zhu:
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning. CoRR abs/2404.06970 (2024) - [i78]Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai:
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR abs/2405.03988 (2024) - [i77]DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun:
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. CoRR abs/2405.04434 (2024) - [i76]Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai:
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR abs/2407.01607 (2024) - [i75]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. CoRR abs/2407.15773 (2024) - [i74]Zhengbo Wang, Jian Liang:
LoRA-Pro: Are Low-Rank Adapters Properly Optimized? CoRR abs/2407.18242 (2024) - 2023
- [j62]Zhongwei Li, Qiao Meng, Fangming Guo, Leiquan Wang, Wenhao Huang, Yabin Hu, Jian Liang:
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification. Int. J. Appl. Earth Obs. Geoinformation 123: 103485 (2023) - [j61]Weizheng Wang, Jian Liang, Xiangqi Wang, Xianmin Pan, Shuo Cai:
A secure scan architecture using parallel latch-based lock. Integr. 93: 102067 (2023) - [j60]Jian Liang, Jinjun Tang, Fan Gao, Zhe Wang, Helai Huang:
On region-level travel demand forecasting using multi-task adaptive graph attention network. Inf. Sci. 622: 161-177 (2023) - [j59]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167: 92-103 (2023) - [j58]Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal normalization for domain adaptation. Pattern Recognit. 140: 109533 (2023) - [j57]Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He:
Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. 18: 1696-1708 (2023) - [j56]Jian Liang, Jintao Ke, Hai Wang, Hongbo Ye, Jinjun Tang:
A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. IEEE Trans. Intell. Transp. Syst. 24(12): 14556-14569 (2023) - [j55]Shuang Li, Wenxuan Ma, Jinming Zhang, Chi Harold Liu, Jian Liang, Guoren Wang:
Meta-Reweighted Regularization for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 2781-2795 (2023) - [c108]Maohong Tian, Jian Liang, Dequan Zhang, Xintong Zhang, Zuo Wang, Hualin Li:
Detection of Financial Fraudulent Activities with Machine Learning: A Case Study of Detecting Potential Tax and Invoice Fraud. CSAI 2023: 33-39 - [c107]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR 2023: 11620-11630 - [c106]Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu:
Improving Generalization with Domain Convex Game. CVPR 2023: 24315-24324 - [c105]Hetian Song, Qingmeng Zhu, Zhipeng Yu, Jian Liang, Hao He:
Generative Event Extraction via Internal Knowledge-Enhanced Prompt Learning. ICANN (5) 2023: 90-102 - [c104]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
Modify: Model-Driven Face Stylization Without Style Images. ICASSP 2023: 1-5 - [c103]Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan:
Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning. ICASSP 2023: 1-5 - [c102]Feiyang Zhao, Maohong Tian, Sheng Hu, Jian Liang, Longfu Zhou, Hualin Li:
Livestock Recognition and Identification with Deep Convolutional Neural Networks: A Case Study of Pigs. ICCAI 2023: 185-194 - [c101]Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang:
Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. ICCV 2023: 1064-1074 - [c100]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. ICCV 2023: 22601-22611 - [c99]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR 2023 - [c98]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR 2023 - [c97]Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang:
Meta Graph Learning for Long-tail Recommendation. KDD 2023: 2512-2522 - [c96]Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang:
Rumor Detection with Diverse Counterfactual Evidence. KDD 2023: 3321-3331 - [c95]Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c94]Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang:
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS 2023 - [i73]Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun:
Learning Feature Recovery Transformer for Occluded Person Re-identification. CoRR abs/2301.01879 (2023) - [i72]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i71]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR abs/2302.04589 (2023) - [i70]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
MODIFY: Model-driven Face Stylization without Style Images. CoRR abs/2303.09831 (2023) - [i69]Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan:
Exploiting Semantic Attributes for Transductive Zero-Shot Learning. CoRR abs/2303.09849 (2023) - [i68]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR abs/2303.10594 (2023) - [i67]Puning Yang, Jian Liang, Jie Cao, Ran He:
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR abs/2303.12267 (2023) - [i66]Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu:
Improving Generalization with Domain Convex Game. CoRR abs/2303.13297 (2023) - [i65]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR abs/2303.14859 (2023) - [i64]Jian Liang, Ran He, Tieniu Tan:
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR abs/2303.15361 (2023) - [i63]Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li:
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. CoRR abs/2305.19531 (2023) - [i62]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR abs/2307.03133 (2023) - [i61]Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan:
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR abs/2307.07397 (2023) - [i60]Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo:
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR abs/2307.07489 (2023) - [i59]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. CoRR abs/2307.07494 (2023) - [i58]Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang:
Rumor Detection with Diverse Counterfactual Evidence. CoRR abs/2307.09296 (2023) - [i57]Jiyang Guan, Jian Liang, Ran He:
Test-Time Adaptation for Backdoor Defense. CoRR abs/2308.06107 (2023) - [i56]Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, Nan Duan:
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory. CoRR abs/2308.08089 (2023) - [i55]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR abs/2308.12919 (2023) - [i54]Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang:
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation. CoRR abs/2309.14241 (2023) - [i53]Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang:
Unleashing the power of Neural Collapse for Transferability Estimation. CoRR abs/2310.05754 (2023) - [i52]Lijun Sheng, Zhengbo Wang, Jian Liang:
Self-training solutions for the ICCV 2023 GeoNet Challenge. CoRR abs/2311.16843 (2023) - 2022
- [j54]Zixuan Xu, Wenjing Ying, Hao He, Qingmeng Zhu, Jian Liang, Haihui Wang:
Luminance Compensation MEMC for Video Frame Interpolation. IEEE Access 10: 120752-120764 (2022) - [j53]Wei Shen, Jian Liang, Shijun Xu, Yu Wei:
Research on Online Course Teaching of Public Physical Education in Universities Under the Pandemic Situation. Inf. Resour. Manag. J. 35(3): 1-14 (2022) - [j52]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j51]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8602-8617 (2022) - [j50]Lele Zhang, Jinhu Wang, Yueqian Shen, Jian Liang, Yuyu Chen, Linsheng Chen, Mei Zhou:
A Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data. Remote. Sens. 14(20): 5272 (2022) - [j49]Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang:
Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement. IEEE Trans. Inf. Forensics Secur. 17: 1344-1358 (2022) - [j48]Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun:
Learning Feature Recovery Transformer for Occluded Person Re-Identification. IEEE Trans. Image Process. 31: 4651-4662 (2022) - [j47]Jian Liang, Jinjun Tang, Fang Liu, Yinhai Wang:
Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep Learning Network. IEEE Trans. Intell. Transp. Syst. 23(8): 13782-13793 (2022) - [c93]Lingyu Zhang, Wenjie Bian, Jianxing Li, Ying Zhang, Jian Liang, Guobin Wu, Liang Zhang:
Travel Intention Prediction Method Based on User Needs. CAIBDA 2022: 1-6 - [c92]Chunyu Wei, Jian Liang, Bing Bai, Di Liu:
Dynamic Hypergraph Learning for Collaborative Filtering. CIKM 2022: 2108-2117 - [c91]Maohong Tian, Hualin Li, Jing Huang, Jian Liang, Wenbin Bu, Bingling Chen:
Credit Risk Models using Rule-Based Methods and Machine-Learning Algorithms. CSAI 2022: 203-209 - [c90]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR 2022: 7993-8003 - [c89]Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CVPR 2022: 8036-8046 - [c88]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR 2022: 16701-16710 - [c87]Linjuan Gong, Guolian Hou, Lin Wang, Yaokui Gao, Wenyu Wang, Zhangming Zhao, Jun Tang, Hongri Guo, Jian Liang:
Parallel Control of Ultra-supercritical Unit under Requirements of Flexible Operation. DTPI 2022: 1-5 - [c86]Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun:
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification. ECCV (14) 2022: 372-388 - [c85]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. ECCV (16) 2022: 720-736 - [c84]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c83]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c82]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - [c81]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS 2022 - [c80]Jian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. NeurIPS 2022 - [c79]Chunyu Wei, Jian Liang, Di Liu, Fei Wang:
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS 2022 - [c78]Qin Si, Hui Xu, Ying Tong, Yu Zhou, Jian Liang, Lei Cui, Zhiyu Hao:
Malware Detection Using Automated Generation of Yara Rules on Dynamic Features. SciSec 2022: 315-330 - [c77]Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang:
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. SIGIR 2022: 1969-1973 - [c76]Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang:
Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders. WASA (2) 2022: 393-405 - [c75]Lingyu Zhang, Zhijie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang:
Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree. WASA (2) 2022: 595-605 - [i51]Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu:
Causality Inspired Representation Learning for Domain Generalization. CoRR abs/2203.14237 (2022) - [i50]Xiaochen Li, Rui Zhong, Jian Liang, Xialong Liu, Yu Zhang:
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. CoRR abs/2204.11587 (2022) - [i49]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR abs/2205.14566 (2022) - [i48]Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan:
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder. CoRR abs/2206.00386 (2022) - [i47]Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang:
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT. CoRR abs/2206.02389 (2022) - [i46]Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang:
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement. CoRR abs/2206.04854 (2022) - [i45]Junchi Yu, Jian Liang, Ran He:
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR abs/2206.09345 (2022) - [i44]Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. CoRR abs/2207.09814 (2022) - [i43]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR abs/2210.00226 (2022) - [i42]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR abs/2210.04522 (2022) - [i41]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR abs/2210.15427 (2022) - 2021
- [j46]Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun:
Deep Semantic Reconstruction Hashing for Similarity Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(1): 387-400 (2021) - [j45]Yang Pang, Ningfang Song, Yanqiang Yang, Jian Liang, Hao Zhang, Longjie Tian, Zhenyue Liu, Fu Ma:
Low-Cost IMU Error Intercorrection Method for Verticality Measurement. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [j44]Yanqiang Yang, Jian Liang, Longjie Tian, Tongyao Yue, Hao Zhang:
Dead Band Self-Test Method of Three-Self FOG INS. IEEE Trans. Instrum. Meas. 70: 1-7 (2021) - [j43]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen:
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30: 9359-9371 (2021) - [j42]Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang:
Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1433-1447 (2021) - [j41]Ziyi Yan, Chunxi Zhang, Yanqiang Yang, Jian Liang:
A Novel In-Motion Alignment Method Based on Trajectory Matching for Autonomous Vehicles. IEEE Trans. Veh. Technol. 70(3): 2231-2238 (2021) - [c74]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI 2021: 8455-8464 - [c73]Jian Liang, Dapeng Hu, Jiashi Feng:
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR 2021: 16632-16642 - [c72]Qiaoling Huang, Jian Liang:
Real time measurement and statistics of environmental data based on Internet of things platform. EITCE 2021: 856-861 - [c71]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. ICCV 2021: 9082-9091 - [c70]Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang:
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR 2021 - [c69]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c68]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. ACM Multimedia 2021: 5213-5221 - [c67]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS 2021: 5972-5984 - [c66]Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang:
Pareto Domain Adaptation. NeurIPS 2021: 12917-12929 - [c65]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [c64]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [i40]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i39]Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun:
On Evolving Attention Towards Domain Adaptation. CoRR abs/2103.13561 (2021) - [i38]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i37]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR abs/2106.05001 (2021) - [i36]Yuxi Wang, Jian Liang, Zhaoxiang Zhang:
Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data. CoRR abs/2106.11653 (2021) - [i35]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. CoRR abs/2108.02365 (2021) - [i34]Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei:
Semi-Supervised Domain Generalizable Person Re-Identification. CoRR abs/2108.05045 (2021) - [i33]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. CoRR abs/2108.05720 (2021) - [i32]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i31]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i30]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. CoRR abs/2111.12417 (2021) - [i29]Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li:
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. CoRR abs/2112.02792 (2021) - [i28]Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang:
Pareto Domain Adaptation. CoRR abs/2112.04137 (2021) - [i27]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR abs/2112.04731 (2021) - [i26]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - [i25]Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun:
META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification. CoRR abs/2112.08684 (2021) - [i24]Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal Normalization for Domain Adaptation. CoRR abs/2112.10474 (2021) - 2020
- [j40]Jian Liang, Shuiping Yi, Wenlong Bai, Lidan Wang, Chenchang Zhan, Congwei Liao, Hing-Mo Lam, Min Zhang, Shengdong Zhang, Hailong Jiao:
A -80 dB PSRR 4.99 ppm/°C TC bandgap reference with nonlinear compensation. Microelectron. J. 95 (2020) - [j39]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. Neural Networks 131: 93-102 (2020) - [j38]Luojia Hu, Nan Xu, Jian Liang, Zhichao Li, Luzhen Chen, Feng Zhao:
Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China. Remote. Sens. 12(19): 3120 (2020) - [j37]Zeng Jie Ye, Xiao Ying Zhang, Jian Liang, Ying Tang:
The Challenges of Medical Ethics in China: Are Gene-Edited Babies Enough? Sci. Eng. Ethics 26(1): 123-125 (2020) - [j36]Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang:
Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors 20(6): 1729 (2020) - [j35]Jian Liang, Junchao Zhang, Jianbo Shao, Bofan Song, Baoli Yao, Rongguang Liang:
Deep Convolutional Neural Network Phase Unwrapping for Fringe Projection 3D Imaging. Sensors 20(13): 3691 (2020) - [j34]Yue Xu, Shaobiao Xie, Jian Liang, Dexin Sun, Naiming Qi, Yinnian Liu:
A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers. IEEE Trans. Geosci. Remote. Sens. 58(11): 7580-7588 (2020) - [c63]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [c62]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML 2020: 6028-6039 - [c61]Hezi Qiu, Jian Liang, Wenlong Bai, Hing-Mo Lam, Junjun An, Congwei Liao, Min Zhang, Hailong Jiao, Shengdong Zhang:
A Compensation System using Analog Voltage Adder with Continuous Output for AMOLED Display Drivers. ISCAS 2020: 1-5 - [c60]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c59]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. KDD 2020: 2831-2840 - [c58]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020: 2989-2997 - [c57]Weijiang Yu, Jian Liang, Lu Li, Nong Xiao:
Single Image De-noising via Staged Memory Network. ACM Multimedia 2020: 37-45 - [i23]Jian Liang, Dapeng Hu, Jiashi Feng:
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR abs/2002.08546 (2020) - [i22]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR abs/2003.02541 (2020) - [i21]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR abs/2003.13274 (2020) - [i20]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. CoRR abs/2005.13303 (2020) - [i19]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i18]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i17]Jian Liang, Dapeng Hu, Jiashi Feng:
Combating Domain Shift with Self-Taught Labeling. CoRR abs/2007.04171 (2020) - [i16]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. CoRR abs/2007.05742 (2020) - [i15]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR abs/2008.11089 (2020) - [i14]Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li:
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. CoRR abs/2009.02763 (2020) - [i13]Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai:
Domain Agnostic Learning for Unbiased Authentication. CoRR abs/2010.05250 (2020) - [i12]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR abs/2010.05430 (2020) - [i11]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020) - [i10]Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang:
A Lane-Changing Prediction Method Based on Temporal Convolution Network. CoRR abs/2011.01224 (2020) - [i9]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR abs/2012.06995 (2020) - [i8]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR abs/2012.07297 (2020)
2010 – 2019
- 2019
- [j33]Jian Liang, Bin Zhang, Changshun Liu, Chao Zhang:
Experimental Investigation of the Influence of Cellulose Ether on the Floating of Rubber Particles in Mortar. Complex. 2019: 4187318:1-4187318:12 (2019) - [j32]Jian Liang, Xiaohui Huang, Zhao Zhang:
Approximation algorithms for distance constraint sweep coverage with base stations. J. Comb. Optim. 37(4): 1111-1125 (2019) - [j31]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1027-1042 (2019) - [j30]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognit. 96 (2019) - [j29]Yunbo Wang, Jian Liang, Dong Cao, Zhenan Sun:
Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization. IEEE Trans. Image Process. 28(6): 2665-2679 (2019) - [c56]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c55]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. CVPR 2019: 2975-2984 - [c54]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CVPR 2019: 11428-11437 - [i7]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i6]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CoRR abs/1905.06517 (2019) - 2018
- [j28]Liyao Li, Rui Bai, Binbin Xie, Yao Peng, Anwen Wang, Wei Wang, Bo Jiang, Jian Liang, Xiaojiang Chen:
R&P: An Low-Cost Device-Free Activity Recognition for E-Health. IEEE Access 6: 81-90 (2018) - [j27]Shouxu Zhang, Bo Jiang, Xiaoxuan Chen, Jian Liang, Peng Cui, Xinxin Guo:
Modeling and Dynamic Control of a Class of Semibiomimetic Robotic Fish. Complex. 2018: 4657235:1-4657235:8 (2018) - [j26]Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang:
Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. 32(6): 1509-1560 (2018) - [j25]Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen:
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167: 378-394 (2018) - [j24]Qi Qin, Shuai Zhao, Shaowei Chen, Dengshan Huang, Jian Liang:
Adaptive and robust prediction for the remaining useful life of electrolytic capacitors. Microelectron. Reliab. 87: 64-74 (2018) - [j23]Lin Li, Jian Liang, Min Weng, Haihong Zhu:
A Multiple-Feature Reuse Network to Extract Buildings from Remote Sensing Imagery. Remote. Sens. 10(9): 1350 (2018) - [c53]Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He:
X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. ACCV (5) 2018: 513-529 - [c52]Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun:
Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach. CVPR 2018: 7073-7082 - [c51]Jianze Wei, Jian Liang, Ran He, Jinfeng Yang:
Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation. ICME 2018: 1-6 - [c50]Lixiang Ma, Yu Zhu, Fan Zhang, Jian Liang, Lv Zheng, Lei Liu, Yuekun Wang:
Spaceborne Repeat-pass Interferometric Synthetic Aperture Radar Experimental Evaluation for the GaoFen-3 Satellite. IGARSS 2018: 2168-2171 - [c49]Jian Liang, Running Zhang, Lixiang Ma, Zheng Lv, Ke Jiao, Dawei Wang, Zhiyun Tan:
An Efficient Image Formation Algorithm for Spaceborne Video SAR. IGARSS 2018: 3675-3678 - [i5]Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun:
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach. CoRR abs/1801.00881 (2018) - [i4]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. CoRR abs/1809.06546 (2018) - 2017
- [j22]Dekui Ma, Jian Liang, Ran He, Xiangwei Kong:
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data. IEEE Multim. 24(2): 56-65 (2017) - [j21]Bo Liu, Kan Tang, Jian Liang:
A Bottom-Up/Top-Down Hybrid Algorithm for Model-Based Building Detection in Single Very High Resolution SAR Image. IEEE Geosci. Remote. Sens. Lett. 14(6): 926-930 (2017) - [j20]Xiaobin Zhan, Yili Yang, Jian Liang, Tielin Shi, Xiwen Li:
Gas Bubble Effects and Elimination in Ultrasonic Measurement of Particle Concentrations in Solid-Liquid Mixing Processes. IEEE Trans. Instrum. Meas. 66(7): 1711-1718 (2017) - [c48]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: An Implicit Regularization Perspective. AAAI 2017: 1877-1883 - [c47]Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang:
Subtyping Parkinson's Disease with Recurrent Neural Network Models. AMIA 2017 - [c46]Jian Liang, Min Xiong, Lei Liu, Yanbin Zhao:
Design, modeling and shape control of bending moment actuator. CIS/RAM 2017: 405-410 - [c45]Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang:
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM 2017: 198-206 - [i3]Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang:
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm. CoRR abs/1702.08740 (2017) - [i2]Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu:
Robust Localized Multi-view Subspace Clustering. CoRR abs/1705.07777 (2017) - 2016
- [j19]Hongwei Qin, Xiu Li, Jian Liang, YiGang Peng, Changshui Zhang:
DeepFish: Accurate underwater live fish recognition with a deep architecture. Neurocomputing 187: 49-58 (2016) - [c44]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 184-191 - [c43]Jian Liang, Rui Lu, Changshui Zhang, Fei Wang:
Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI 2016: 315 - [c42]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Group-Invariant Cross-Modal Subspace Learning. IJCAI 2016: 1739-1745 - [c41]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li:
Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. ISM 2016: 38-43 - [c40]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He:
Frustratingly Easy Cross-Modal Hashing. ACM Multimedia 2016: 237-241 - [c39]Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang:
Self-Paced Cross-Modal Subspace Matching. SIGIR 2016: 569-578 - [i1]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: an Implicit Regularization Perspective. CoRR abs/1606.00128 (2016) - 2015
- [j18]Haihe Jin, Jian Liang:
How should the Chinese government provide information services for Mongol ethnic minority? Gov. Inf. Q. 32(1): 82-94 (2015) - [j17]Ping Peng, Guikai Hu, Jian Liang:
All admissible linear predictors in the finite populations with respect to inequality constraints under a balanced loss function. J. Multivar. Anal. 140: 113-122 (2015) - [j16]Xiaobin Zhan, Shulan Jiang, Yili Yang, Jian Liang, Tielin Shi, Xiwen Li:
Inline Measurement of Particle Concentrations in Multicomponent Suspensions using Ultrasonic Sensor and Least Squares Support Vector Machines. Sensors 15(9): 24109-24124 (2015) - [j15]Shu Zhang, Jian Liang, Ran He, Zhenan Sun:
Code Consistent Hashing Based on Information-Theoretic Criterion. IEEE Trans. Big Data 1(3): 84-94 (2015) - [c38]Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan:
Principal affinity based cross-modal retrieval. ACPR 2015: 126-130 - [c37]Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang, Ran He:
Two-Step Greedy Subspace Clustering. PCM (1) 2015: 45-54 - 2013
- [j14]Peng Guo, Wenming Cheng, Zeqiang Zhang, Min Zhang, Jian Liang:
Gantry Crane Scheduling with Interference Constraints in Railway Container Terminals. Int. J. Comput. Intell. Syst. 6(2): 244-260 (2013) - [j13]Jian Liang, Frederick Park, Hongkai Zhao:
Robust and Efficient Implicit Surface Reconstruction for Point Clouds Based on Convexified Image Segmentation. J. Sci. Comput. 54(2-3): 577-602 (2013) - [j12]Jian Liang, Hongkai Zhao:
Solving Partial Differential Equations on Point Clouds. SIAM J. Sci. Comput. 35(3) (2013) - [j11]Jian Liang, Hui Yin, Li Feng, Jian Zhang, Shouyin Liu:
Joint Opportunistic Spectrum Sharing and Dynamic Full Frequency Reuse in OFDMA Cellular Relay Networks. Wirel. Pers. Commun. 71(3): 1663-1681 (2013) - [p1]Edward Castillo, Jian Liang, Hongkai Zhao:
Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates. Innovations for Shape Analysis, Models and Algorithms 2013: 283-299 - 2012
- [c36]Jian Liang, Rongjie Lai, Tsz Wai Wong, Hongkai Zhao:
Geometric understanding of point clouds using Laplace-Beltrami operator. CVPR 2012: 214-221 - [c35]Jian Liang, Tony Sahama:
Online multiple profile manager for eHealth information sharing. ICC 2012: 3461-3465 - 2011
- [j10]Jun Qian, Jian Liang:
Monte Carlo simulation from proton slip to "coupled" proton flow in ATP synthase based on the bi-site mechanism. Biosyst. 105(3): 233-237 (2011) - [c34]Jian Liang, Hui Yin, Haokai Chen, Zhongnian Li, Shouyin Liu:
Utility-based joint routing and scheduling in OFDMA cellular relay networks with traffic prioritization. CHINACOM 2011: 132-136 - [c33]Hui Yin, Jian Liang, Haokai Chen, Zhongnian Li, Shouyin Liu:
Real-time and fairness assisted scheduling in multiuser two-way relay network. CHINACOM 2011: 395-399 - [c32]Jian Liang, Renato Iannella, Tony Sahama:
Synchronised Integrated Online E-Health Profiles. HIC 2011: 96-103 - [c31]Peng Guo, Wenming Cheng, Jian Liang:
Global artificial bee colony search algorithm for numerical function optimization. ICNC 2011: 1280-1283 - [c30]Jian Liang, Kevin O'Mahony, Maryna Lishchynska, Kieran Delaney:
A multi-modular approach for design and evaluation of context information interactive systems. PerCom Workshops 2011: 190-195 - [c29]Kevin O'Mahony, Jian Liang, Kieran Delaney:
Real-time information profiling for smart objects. VECIMS 2011: 1-6 - [c28]Haokai Chen, Jian Liang, Hui Yin, Zhongnian Li, Shouyin Liu:
The Number of Disconnect MSs and System Capacity Analysis with Variable RSs Location in Two-Hop Cellular Networks. VTC Fall 2011: 1-5 - [c27]Jian Liang, Hui Yin, Haokai Chen, Zhongnian Li, Shouyin Liu:
A Novel Dynamic Full Frequency Reuse Scheme in OFDMA Cellular Relay Networks. VTC Fall 2011: 1-5 - 2010
- [c26]Jian Liang, Fenglin Bu, Hongming Cai:
High-Precision Service Matching Based on Formal Semantic Description. APSCC 2010: 212-217 - [c25]Feixue Li, Manchun Li, Jian Liang, Chenglei Shen:
Spatio-temporal Geo-Informatic Tupu for urban growth in Nanjing city. Geoinformatics 2010: 1-6 - [c24]Jian Liang, Feixue Li, Liang Mao:
Review of the methods of delimitation for the spatial scope of urban agglomeration. Geoinformatics 2010: 1-10 - [c23]Yu-Feng Liu, Liwei Zhang, Jian Liang, Sheng Qu, Zhiqiang Ni:
Detecting Trojan horses based on system behavior using machine learning method. ICMLC 2010: 855-860 - [c22]Jiayan Wu, Liwei Zhang, Jian Liang, Sheng Qu, Zhiqiang Ni:
A comparative study for fast-flux service networks detection. NCM 2010: 346-350 - [c21]Yonghui Huang, Jian Liang, Bao-chang Pan, Xiao-yan Fan:
A new lip-automatic detection and location algorithm in lip-reading system. SMC 2010: 2402-2405 - [c20]Kevin O'Mahony, Jian Liang, Kieran Delaney:
A real-time system for sensor information interactive visualization with multi-touch technology. VECIMS 2010: 141-145
2000 – 2009
- 2009
- [j9]Jian Liang, Daniel DeMenthon, David S. Doermann:
Mosaicing of camera-captured document images. Comput. Vis. Image Underst. 113(4): 572-579 (2009) - [c19]Yinsheng Zhang, Xiaodong Qiao, Feng Han, Jitian Wang, Jian Liang, Peng Li:
A Web Service Monitoring Indicator and Model System and Performance. UKSim 2009: 474-478 - 2008
- [j8]Jian Liang, Daniel DeMenthon, David S. Doermann:
Geometric Rectification of Camera-Captured Document Images. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 591-605 (2008) - [c18]Zeqiang Zhang, Wenming Cheng, Yue Cheng, Jian Liang:
A Novel Ant Colony Optimization Algorithm for U-Shaped Line Balancing Problem. ICNC (7) 2008: 455-459 - 2007
- [j7]Xiaojun Hei, Chao Liang, Jian Liang, Yong Liu, Keith W. Ross:
A Measurement Study of a Large-Scale P2P IPTV System. IEEE Trans. Multim. 9(8): 1672-1687 (2007) - 2006
- [b1]Jian Liang:
Processing Camera-captured Document Images: Geometric Rectification, Mosaicing, and Layout Structure Recognition. University of Maryland, College Park, MD, USA, 2006 - [j6]Jian Liang, Rakesh Kumar, Keith W. Ross:
The FastTrack overlay: A measurement study. Comput. Networks 50(6): 842-858 (2006) - [c17]Jian Liang, Aniruddha Bohra, Hui Zhang, Samrat Ganguly, Rauf Izmailov:
Minimizing Metadata Access Latency in Wide Area Networked File Systems. HiPC 2006: 301-312 - [c16]Jian Liang, Daniel DeMenthon, David S. Doermann:
Camera-Based Document Image Mosaicing. ICPR (2) 2006: 476-479 - [c15]Jian Liang, Naoum Naoumov, Keith W. Ross:
The Index Poisoning Attack in P2P File Sharing Systems. INFOCOM 2006 - 2005
- [j5]Jian Liang, David S. Doermann, Huiping Li:
Camera-based analysis of text and documents: a survey. Int. J. Document Anal. Recognit. 7(2-3): 84-104 (2005) - [c14]Jian Liang, Naoum Naoumov, Keith W. Ross:
Efficient Blacklisting and Pollution-Level Estimation in P2P File-Sharing Systems. AINTEC 2005: 1-21 - [c13]Jian Liang, Daniel DeMenthon, David S. Doermann:
Flattening Curved Documents in Images. CVPR (2) 2005: 338-345 - [c12]Jian Liang, Rakesh Kumar, Y. Xi, Keith W. Ross:
Pollution in P2P file sharing systems. INFOCOM 2005: 1174-1185 - 2004
- [j4]Jian Liang, Andrew Laffely, Sriram Srinivasan, Russell Tessier:
An architecture and compiler for scalable on-chip communication. IEEE Trans. Very Large Scale Integr. Syst. 12(7): 711-726 (2004) - [c11]Jian Liang, Russell Tessier, Dennis Goeckel:
A Dynamically-Reconfigurable, Power-Efficient Turbo Decoder. FCCM 2004: 91-100 - 2003
- [c10]Jian Liang, David S. Doermann:
Content features for logical document labeling. DRR 2003: 189-196 - [c9]Jian Liang, Russell Tessier, Oskar Mencer:
Floating Point Unit Generation and Evaluation for FPGAs. FCCM 2003: 185-194 - [c8]David S. Doermann, Jian Liang, Huiping Li:
Progress in Camera-Based Document Image Analysis. ICDAR 2003: 606- - [c7]Andrew Laffely, Jian Liang, Russell Tessier, Wayne P. Burleson:
Adaptive system on a chip (ASOC): a backbone for power-aware signal processing cores. ICIP (3) 2003: 105-108 - 2002
- [c6]Jian Liang, David S. Doermann:
Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning. Document Analysis Systems 2002: 224-235 - [c5]Jian Liang, David S. Doermann, Matthew Y. Ma, Jinhong Katherine Guo:
Page Classification through Logical Labelling. ICPR (3) 2002: 477-480 - 2000
- [c4]Jian Liang, Sriram Swaminathan, Russell Tessier:
aSOC: A Scalable, Single-Chip Communications Architecture. IEEE PACT 2000: 37-46 - [c3]Ming Chen, Xiaoqing Ding, Jian Liang:
Analysis, Understanding and Representation of Chinese Newspaper with Complex Layout. ICIP 2000: 590-593
1990 – 1999
- 1999
- [j3]Jian Liang, Jami J. Shah, Roshan D'Souza, Susan Darling Urban, Kalyan Ayyaswamy, Ed Harter, Tom Bluhm:
Synthesis of consolidated data schema for engineering analysis from multiple STEP application protocols. Comput. Aided Des. 31(7): 429-447 (1999) - [j2]Susan Darling Urban, Kalyan Ayyaswamy, Ling Fu, Jami J. Shah, Jian Liang:
Integrated product data environment: data sharing across diverse engineering applications. Int. J. Comput. Integr. Manuf. 12(6): 525-540 (1999) - 1997
- [j1]Jian Liang, Simone Sédillot, Bruno Traverson:
Object Management Group object transaction service based on an X/Open and International Organization for Standardization open systems interconnection transaction processing kernel . Distributed Syst. Eng. 4(3): 151-159 (1997) - [c2]Jian Liang, Simone Sédillot, Bruno Traverson:
OMG Object Transaction Service based on an X/Open and ISO OSI TP Kernel. HICSS (1) 1997: 110-119 - [c1]Simone Sédillot, Jian Liang:
Legacy Transactional Systems Integration Framework. OOIS 1997: 131-144
Coauthor Index
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