Jian Liang - RankMe

148 papers A* 40A 1C 1Misc 3Journal 95Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepResearch-Slice: Bridging the Retrieval-Utilization Gap via Explicit Text Slicing. CoRR Shuo Lu, Yinuo Xu, Jianjie Cheng, Lingxiao He, Meng Wang, Jian Liang
2026	J	`jnl`	Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation. CoRR Shuo Lu, Jianjie Cheng, Yinuo Xu, Yongcan Yu, Lijun Sheng, Peijie Wang, Siru Jiang, Yongguan Hu, Run Ling, Yihua Shao, Ao Ma, Wei Feng, Lingxiao He, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He, Jian Liang
2026	J	`jnl`	How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1. CoRR Yinuo Xu, Shuo Lu, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He, Jian Liang
2026	J	`jnl`	Learning Fair Domain Adaptation with Virtual Label Distribution. CoRR Yuguang Zhang, Lijun Sheng, Jian Liang, Ran He
2026	J	`jnl`	One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation. CoRR Shuo Lu, Haohan Wang, Wei Feng, Weizhen Wang, Shen Zhang, Yaoyu Li, Ao Ma, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Bing Zhan, Yuan Xu, Huizai Yao, Yongcan Yu, Chenyang Si, Jian Liang
2026	J	`jnl`	Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances. ACM Comput. Surv. Shuo Lu, Yingsheng Wang, Lijun Sheng, Lingxiao He, Aihua Zheng, Jian Liang
2026	J	`jnl`	Procedure-Aware Hierarchical Alignment for Open Surgery Video-Language Pretraining. IEEE Trans. Image Process. Boqiang Xu, Jinlin Wu, Jian Liang, Zhenan Sun, Hongbin Liu, Jiebo Luo, Zhen Lei
2026	J	`jnl`	Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs. CoRR Dong Yan, Jian Liang, Ran He, Tieniu Tan
2026	J	`jnl`	Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation. CoRR Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2026	J	`jnl`	What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time. CoRR Dong Yan, Jian Liang, Yanbo Wang, Shuo Lu, Ran He, Tieniu Tan
2025	J	`jnl`	A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts. Int. J. Comput. Vis. Jian Liang, Ran He, Tieniu Tan
2025	—	`conf`	An Enhanced Federated Prototype Learning Method Under Domain Shift. PRCV (3) Liang Kuang, Kuangpu Guo, Jian Liang, Jianguo Zhang
2025	A*	`conf`	Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models. ICML Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye
2025	J	`jnl`	Cooperative Pseudo Labeling for Unsupervised Federated Classification. CoRR Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He
2025	A*	`conf`	Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? CVPR Yanbo Wang, Jiyang Guan, Jian Liang, Ran He
2025	J	`jnl`	Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? CoRR Yanbo Wang, Jiyang Guan, Jian Liang, Ran He
2025	A*	`conf`	Exploring Vacant Classes in Label-Skewed Federated Learning. AAAI Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan
2025	—	`conf`	Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection. PRCV (9) Yingsheng Wang, Shuo Lu, Jian Liang, Aihua Zheng, Ran He
2025	J	`jnl`	Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection. CoRR Yingsheng Wang, Shuo Lu, Jian Liang, Aihua Zheng, Ran He
2025	J	`jnl`	Harmonizing and Merging Source Models for CLIP-based Domain Generalization. CoRR Yuhe Ding, Jian Liang, Bo Jiang, Zi Wang, Aihua Zheng, Bin Luo
2025	A*	`conf`	LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. AAAI Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
2025	A*	`conf`	LoRA-Pro: Are Low-Rank Adapters Properly Optimized? ICLR Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2025	A*	`conf`	Protecting Model Adaptation from Trojans in the Unlabeled Data. AAAI Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2025	A*	`conf`	R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. CVPR Lijun Sheng, Jian Liang, Zilei Wang, Ran He
2025	J	`jnl`	R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. CoRR Lijun Sheng, Jian Liang, Zilei Wang, Ran He
2025	J	`jnl`	Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning. CoRR Yongcan Yu, Lingxiao He, Shuo Lu, Lijun Sheng, Yinuo Xu, Yanbo Wang, Kuangpu Guo, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Dapeng Hu, Jian Liang
2025	J	`jnl`	Sample Correlation for Fingerprinting Deep Face Recognition. Int. J. Comput. Vis. Jiyang Guan, Jian Liang, Yanbo Wang, Ran He
2025	J	`jnl`	Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging. CoRR Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He
2025	J	`jnl`	The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2025	A*	`conf`	Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation. ACM Multimedia Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Jian Liang
2025	J	`jnl`	Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation. CoRR Shuo Lu, Yanyin Chen, Wei Feng, Jiahao Fan, Fengheng Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Jian Liang
2024	J	`jnl`	A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yuxi Wang, Jian Liang, Zhaoxiang Zhang
2024	A*	`conf`	A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. ICLR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	An Enhanced Federated Prototype Learning Method under Domain Shift. CoRR Liang Kuang, Kuangpu Guo, Jian Liang, Jianguo Zhang
2024	A*	`conf`	Backdoor Defense via Test-Time Detecting and Repairing. CVPR Jiyang Guan, Jian Liang, Ran He
2024	J	`jnl`	Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	A*	`conf`	Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. ICML Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. CoRR Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
2024	J	`jnl`	Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. CoRR Yuting Xu, Jian Liang, Lijun Sheng, Xiaoyu Zhang
2024	J	`jnl`	Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. Int. J. Comput. Vis. Yuting Xu, Jian Liang, Lijun Sheng, Xiaoyu Zhang
2024	J	`jnl`	Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks. CoRR Yuhe Ding, Bo Jiang, Aihua Zheng, Qin Xu, Jian Liang
2024	J	`jnl`	MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Trans. Circuits Syst. Video Technol. Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He
2024	J	`jnl`	Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. CoRR Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation. CoRR Jian Liang, Lijun Sheng, Hongmin Liu, Ran He
2024	A*	`conf`	Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2024	A*	`conf`	Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. ICML Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan
2024	J	`jnl`	Recent Advances in OOD Detection: Problems and Approaches. CoRR Shuo Lu, Yingsheng Wang, Lijun Sheng, Aihua Zheng, Lingxiao He, Jian Liang
2024	—	`conf`	STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. ECCV (81) Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2024	J	`jnl`	STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. CoRR Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2024	J	`jnl`	Sample Correlation for Fingerprinting Deep Face Recognition. CoRR Jiyang Guan, Jian Liang, Yanbo Wang, Ran He
2024	J	`jnl`	Towards Compatible Fine-tuning for Vision-Language Model Updates. CoRR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2024	A*	`conf`	Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. ICLR Yanbo Wang, Jian Liang, Ran He
2024	J	`jnl`	Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. CoRR Yanbo Wang, Jian Liang, Ran He
2024	A*	`conf`	Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline. NeurIPS Dapeng Hu, Romy Luo, Jian Liang, Chuan Sheng Foo
2024	J	`jnl`	Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai
2024	J	`jnl`	Which Model to Transfer? A Survey on Transferability Estimation. CoRR Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang
2023	J	`jnl`	A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR Jian Liang, Ran He, Tieniu Tan
2023	J	`jnl`	AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR Puning Yang, Jian Liang, Jie Cao, Ran He
2023	J	`jnl`	AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2023	J	`jnl`	Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2023	J	`jnl`	Color-Unrelated Head-Shoulder Networks for Fine-Grained Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. Boqiang Xu, Jian Liang, Lingxiao He, Jinlin Wu, Chao Fan, Zhenan Sun
2023	A*	`conf`	Domain-Specific Risk Minimization for Domain Generalization. KDD Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2023	J	`jnl`	Exploiting Semantic Attributes for Transductive Zero-Shot Learning. CoRR Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan
2023	A*	`conf`	Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan
2023	J	`jnl`	Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation. CoRR Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang
2023	A*	`conf`	Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. ICCV Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang
2023	J	`jnl`	Learning Feature Recovery Transformer for Occluded Person Re-identification. CoRR Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun
2023	J	`jnl`	MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He
2023	J	`jnl`	MODIFY: Model-driven Face Stylization without Style Images. CoRR Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He
2023	J	`jnl`	Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He
2023	A*	`conf`	Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR Junchi Yu, Jian Liang, Ran He
2023	J	`jnl`	Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR Junchi Yu, Jian Liang, Ran He
2023	A*	`conf`	Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
2023	Misc	`conf`	Modify: Model-Driven Face Stylization Without Style Images. ICASSP Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He
2023	Misc	`conf`	Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning. ICASSP Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan
2023	J	`jnl`	ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He
2023	J	`jnl`	PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2023	A*	`conf`	Rumor Detection with Diverse Counterfactual Evidence. KDD Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
2023	J	`jnl`	Rumor Detection with Diverse Counterfactual Evidence. CoRR Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang
2023	J	`jnl`	Self-training solutions for the ICCV 2023 GeoNet Challenge. CoRR Lijun Sheng, Zhengbo Wang, Jian Liang
2023	A*	`conf`	TALL: Thumbnail Layout for Deepfake Video Detection. ICCV Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He
2023	J	`jnl`	TALL: Thumbnail Layout for Deepfake Video Detection. CoRR Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He
2023	J	`jnl`	Test-Time Adaptation for Backdoor Defense. CoRR Jiyang Guan, Jian Liang, Ran He
2023	J	`jnl`	Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan
2023	A*	`conf`	Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
2023	J	`jnl`	Unleashing the power of Neural Collapse for Transferability Estimation. CoRR Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang
2022	A*	`conf`	Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS Jiyang Guan, Jian Liang, Ran He
2022	J	`jnl`	Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR Jiyang Guan, Jian Liang, Ran He
2022	A*	`conf`	Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS Chunyu Wei, Jian Liang, Di Liu, Fei Wang
2022	A*	`conf`	DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
2022	J	`jnl`	Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR Junchi Yu, Jian Liang, Ran He
2022	J	`jnl`	Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement. IEEE Trans. Inf. Forensics Secur. Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang
2022	J	`jnl`	Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement. CoRR Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiaoyu Zhang
2022	J	`jnl`	Learning Feature Recovery Transformer for Occluded Person Re-Identification. IEEE Trans. Image Process. Boqiang Xu, Lingxiao He, Jian Liang, Zhenan Sun
2022	—	`conf`	Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification. ECCV (14) Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun
2022	A*	`conf`	Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan
2022	J	`jnl`	ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He
2022	J	`jnl`	Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
2022	J	`jnl`	Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
2021	J	`jnl`	Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
2021	J	`jnl`	Deep Semantic Reconstruction Hashing for Similarity Retrieval. IEEE Trans. Circuits Syst. Video Technol. Yunbo Wang, Xianfeng Ou, Jian Liang, Zhenan Sun
2021	J	`jnl`	Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR Jian Liang, Dapeng Hu, Ran He, Jiashi Feng
2021	A*	`conf`	Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR Jian Liang, Dapeng Hu, Jiashi Feng
2021	J	`jnl`	Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data. CoRR Yuxi Wang, Jian Liang, Zhaoxiang Zhang
2021	J	`jnl`	META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification. CoRR Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun
2021	J	`jnl`	Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan
2021	A*	`conf`	No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
2021	J	`jnl`	No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
2021	J	`jnl`	UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
2021	A*	`conf`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2021	J	`jnl`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2021	A*	`conf`	Why Attentions May Not Be Interpretable? KDD Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang
2020	—	`conf`	A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
2020	J	`jnl`	A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
2020	A*	`conf`	Adversarial Infidelity Learning for Model Interpretation. KDD Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang
2020	J	`jnl`	Adversarial Infidelity Learning for Model Interpretation. CoRR Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang
2020	J	`jnl`	Combating Domain Shift with Self-Taught Labeling. CoRR Jian Liang, Dapeng Hu, Jiashi Feng
2020	A*	`conf`	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML Jian Liang, Dapeng Hu, Jiashi Feng
2020	J	`jnl`	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR Jian Liang, Dapeng Hu, Jiashi Feng
2020	A*	`conf`	General-Purpose User Embeddings based on Mobile App Usage. KDD Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang
2020	J	`jnl`	General-Purpose User Embeddings based on Mobile App Usage. CoRR Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang
2020	J	`jnl`	PANDA: Prototypical Unsupervised Domain Adaptation. CoRR Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
2020	J	`jnl`	Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
2020	J	`jnl`	Why is Attention Not So Attentive? CoRR Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang
2019	J	`jnl`	Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Jian Liang, Ran He, Zhenan Sun, Tieniu Tan
2019	A*	`conf`	Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. CVPR Jian Liang, Ran He, Zhenan Sun, Tieniu Tan
2019	J	`jnl`	Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognit. Jian Liang, Ran He, Zhenan Sun, Tieniu Tan
2019	J	`jnl`	Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization. IEEE Trans. Image Process. Yunbo Wang, Jian Liang, Dong Cao, Zhenan Sun
2018	A*	`conf`	Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach. CVPR Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun
2018	J	`jnl`	Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach. CoRR Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun
2018	A	`conf`	Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation. ICME Jianze Wei, Jian Liang, Ran He, Jinfeng Yang
2018	—	`conf`	X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. ACCV (5) Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He
2017	J	`jnl`	Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data. IEEE Multim. Dekui Ma, Jian Liang, Ran He, Xiangwei Kong
2017	J	`jnl`	Robust Localized Multi-view Subspace Clustering. CoRR Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu
2017	A*	`conf`	Self-Paced Learning: An Implicit Regularization Perspective. AAAI Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu
2017	Misc	`conf`	Subtyping Parkinson's Disease with Recurrent Neural Network Models. AMIA Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang
2016	C	`conf`	Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. ISM Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li
2016	A*	`conf`	Frustratingly Easy Cross-Modal Hashing. ACM Multimedia Dekui Ma, Jian Liang, Xiangwei Kong, Ran He
2016	A*	`conf`	Group-Invariant Cross-Modal Subspace Learning. IJCAI Jian Liang, Ran He, Zhenan Sun, Tieniu Tan
2016	A*	`conf`	Self-Paced Cross-Modal Subspace Matching. SIGIR Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang
2016	J	`jnl`	Self-Paced Learning: an Implicit Regularization Perspective. CoRR Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu
2015	J	`jnl`	Code Consistent Hashing Based on Information-Theoretic Criterion. IEEE Trans. Big Data Shu Zhang, Jian Liang, Ran He, Zhenan Sun
2015	—	`conf`	Principal affinity based cross-modal retrieval. ACPR Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan
2015	—	`conf`	Two-Step Greedy Subspace Clustering. PCM (1) Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang, Ran He