| 2026 | ACL | What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time. | Dong Yan, Jian Liang, Yanbo Wang, Shuo Lu, Ran He, Tieniu Tan |
| 2026 | ACL | Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning. | Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He |
| 2026 | SIGIR | Unifying User Satisfaction and Creator Incentive: A Constrained Optimization Framework for Short-Video Recommendation. | Xiaoru Qu, Dingyi Zhang, Zhangxi Yan, Peng Zhang, Hu Liu, Yang Zou, Jian Liang, Kaiqiao Zhan |
| 2025 | AAAI | Exploring Vacant Classes in Label-Skewed Federated Learning. | Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan |
| 2025 | AAAI | LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. | Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai |
| 2025 | AAAI | Protecting Model Adaptation from Trojans in the Unlabeled Data. | Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2025 | CVPR | LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. | Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye |
| 2025 | CVPR | R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. | Lijun Sheng, Jian Liang, Zilei Wang, Ran He |
| 2025 | CVPR | Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? | Yanbo Wang, Jiyang Guan, Jian Liang, Ran He |
| 2025 | ICCV | Cooperative Pseudo Labeling for Unsupervised Federated Classification. | Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He |
| 2025 | ICLR | LoRA-Pro: Are Low-Rank Adapters Properly Optimized? | Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2025 | ICML | Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. | Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye |
| 2025 | ICML | Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. | Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao |
| 2025 | ICML | From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. | Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang |
| 2025 | ICML | Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models. | Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye |
| 2025 | ICML | Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains. | Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai |
| 2025 | ICML | Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. | Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye |
| 2025 | MICCAI | TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration. | Zhiwen Yang, Jiaju Zhang, Yang Yi, Jian Liang, Bingzheng Wei, Yan Xu |
| 2024 | AAAI | HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. | Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma |
| 2024 | CVPR | Backdoor Defense via Test-Time Detecting and Repairing. | Jiyang Guan, Jian Liang, Ran He |
| 2024 | ECCV | STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. | Yongcan Yu, Lijun Sheng, Ran He, Jian Liang |
| 2024 | EMNLP | Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation. | Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang |
| 2024 | ICLR | CLAP: Collaborative Adaptation for Patchwork Learning. | Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang |
| 2024 | ICLR | Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. | Yanbo Wang, Jian Liang, Ran He |
| 2024 | ICLR | A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. | Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan |
| 2024 | ICML | Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. | Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo |
| 2024 | ICML | Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. | Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan |
| 2024 | ICML | Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. | Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2024 | IJCNN | Feature Alignment and Reconstruction Constraints for Multimodal Sentiment Analysis. | Qingmeng Zhu, Tianxing Lan, Jian Liang, Deliang Xiang, Hao He |
| 2023 | CVPR | Improving Generalization with Domain Convex Game. | Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu |
| 2023 | CVPR | Mind the Label Shift of Augmentation-based Graph OOD Generalization. | Junchi Yu, Jian Liang, Ran He |
| 2023 | ICANN | Generative Event Extraction via Internal Knowledge-Enhanced Prompt Learning. | Hetian Song, Qingmeng Zhu, Zhipeng Yu, Jian Liang, Hao He |
| 2023 | ICASSP | Modify: Model-Driven Face Stylization Without Style Images. | Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He |
| 2023 | ICASSP | Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning. | Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan |
| 2023 | ICCV | Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. | Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang |
| 2023 | ICCV | TALL: Thumbnail Layout for Deepfake Video Detection. | Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He |
| 2023 | ICLR | Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. | Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai |
| 2023 | ICLR | Free Lunch for Domain Adversarial Training: Environment Label Smoothing. | Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan |
| 2023 | KDD | Meta Graph Learning for Long-tail Recommendation. | Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang |
| 2023 | KDD | Domain-Specific Risk Minimization for Domain Generalization. | Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie |
| 2023 | KDD | Rumor Detection with Diverse Counterfactual Evidence. | Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiaoyu Zhang |
| 2022 | CIKM | Dynamic Hypergraph Learning for Collaborative Filtering. | Chunyu Wei, Jian Liang, Bing Bai, Di Liu |
| 2022 | CVPR | DINE: Domain Adaptation from Single and Multiple Black-box Predictors. | Jian Liang, Dapeng Hu, Jiashi Feng, Ran He |
| 2022 | CVPR | Causality Inspired Representation Learning for Domain Generalization. | Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu |
| 2022 | CVPR | Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. | Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan |
| 2022 | ECCV | NWA: Visual Synthesis Pre-training for Neural visUal World creAtion. | Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan |
| 2022 | ECCV | Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification. | Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun |
| 2022 | IJCNN | ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. | Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu |
| 2022 | KDD | Collaboration Equilibrium in Federated Learning. | Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang |
| 2022 | SIGIR | Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. | Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang |
| 2021 | AAAI | Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. | Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin |
| 2021 | CVPR | Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2021 | ICCV | Semantic Concentration for Domain Adaptation. | Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li |
| 2021 | ICLR | Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. | Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang |
| 2021 | KDD | Why Attentions May Not Be Interpretable? | Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang |
| 2020 | ECCV | A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. | Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng |
| 2020 | ICML | Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. | Jian Liang, Dapeng Hu, Jiashi Feng |
| 2020 | ISCAS | A Compensation System using Analog Voltage Adder with Continuous Output for AMOLED Display Drivers. | Hezi Qiu, Jian Liang, Wenlong Bai, Hing-Mo Lam, Junjun An, Congwei Liao, Min Zhang, Hailong Jiao, Shengdong Zhang |
| 2020 | KDD | Adversarial Infidelity Learning for Model Interpretation. | Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang |
| 2020 | KDD | General-Purpose User Embeddings based on Mobile App Usage. | Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang |
| 2020 | KDD | Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. | Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang |
| 2019 | ACL | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
| 2019 | CVPR | Additive Adversarial Learning for Unbiased Authentication. | Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu |
| 2019 | CVPR | Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. | Jian Liang, Ran He, Zhenan Sun, Tieniu Tan |
| 2018 | ACCV | X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. | Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He |
| 2018 | CVPR | Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach. | Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun |
| 2018 | IGARSS | Spaceborne Repeat-pass Interferometric Synthetic Aperture Radar Experimental Evaluation for the GaoFen-3 Satellite. | Lixiang Ma, Yu Zhu, Fan Zhang, Jian Liang, Lv Zheng, Lei Liu, Yuekun Wang |
| 2018 | IGARSS | An Efficient Image Formation Algorithm for Spaceborne Video SAR. | Jian Liang, Running Zhang, Lixiang Ma, Zheng Lv, Ke Jiao, Dawei Wang, Zhiyun Tan |
| 2017 | AAAI | Self-Paced Learning: An Implicit Regularization Perspective. | Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu |
| 2017 | AMIA | Subtyping Parkinson's Disease with Recurrent Neural Network Models. | Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang |
| 2017 | SDM | An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. | Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang |
| 2016 | IJCAI | Group-Invariant Cross-Modal Subspace Learning. | Jian Liang, Ran He, Zhenan Sun, Tieniu Tan |
| 2016 | ISM | Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. | Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li |
| 2016 | SIGIR | Self-Paced Cross-Modal Subspace Matching. | Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang |
| 2012 | CVPR | Geometric understanding of point clouds using Laplace-Beltrami operator. | Jian Liang, Rongjie Lai, Tsz Wai Wong, Hongkai Zhao |
| 2011 | HIC | Synchronised Integrated Online E-Health Profiles. | Jian Liang, Renato Iannella, Tony Sahama |
| 2011 | ICNC | Global artificial bee colony search algorithm for numerical function optimization. | Peng Guo, Wenming Cheng, Jian Liang |
| 2011 | PERCOM | A multi-modular approach for design and evaluation of context information interactive systems. | Jian Liang, Kevin O'Mahony, Maryna Lishchynska, Kieran Delaney |
| 2011 | VTC | The Number of Disconnect MSs and System Capacity Analysis with Variable RSs Location in Two-Hop Cellular Networks. | Haokai Chen, Jian Liang, Hui Yin, Zhongnian Li, Shouyin Liu |
| 2011 | VTC | A Novel Dynamic Full Frequency Reuse Scheme in OFDMA Cellular Relay Networks. | Jian Liang, Hui Yin, Haokai Chen, Zhongnian Li, Shouyin Liu |
| 2010 | APSCC | High-Precision Service Matching Based on Formal Semantic Description. | Jian Liang, Fenglin Bu, Hongming Cai |
| 2010 | ICMLC | Detecting Trojan horses based on system behavior using machine learning method. | Yu-Feng Liu, Liwei Zhang, Jian Liang, Sheng Qu, Zhiqiang Ni |
| 2010 | SMC | A new lip-automatic detection and location algorithm in lip-reading system. | Yonghui Huang, Jian Liang, Bao-chang Pan, Xiao-yan Fan |
| 2008 | ICNC | A Novel Ant Colony Optimization Algorithm for U-Shaped Line Balancing Problem. | Zeqiang Zhang, Wenming Cheng, Yue Cheng, Jian Liang |
| 2006 | HiPC | Minimizing Metadata Access Latency in Wide Area Networked File Systems. | Jian Liang, Aniruddha Bohra, Hui Zhang, Samrat Ganguly, Rauf Izmailov |
| 2006 | ICPR | Camera-Based Document Image Mosaicing. | Jian Liang, Daniel DeMenthon, David S. Doermann |
| 2006 | INFOCOM | The Index Poisoning Attack in P2P File Sharing Systems. | Jian Liang, Naoum Naoumov, Keith W. Ross |
| 2005 | CVPR | Flattening Curved Documents in Images. | Jian Liang, Daniel DeMenthon, David S. Doermann |
| 2005 | INFOCOM | Pollution in P2P file sharing systems. | Jian Liang, Rakesh Kumar, Y. Xi, Keith W. Ross |
| 2004 | FCCM | A Dynamically-Reconfigurable, Power-Efficient Turbo Decoder. | Jian Liang, Russell Tessier, Dennis Goeckel |
| 2003 | FCCM | Floating Point Unit Generation and Evaluation for FPGAs. | Jian Liang, Russell Tessier, Oskar Mencer |
| 2003 | ICDAR | Progress in Camera-Based Document Image Analysis. | David S. Doermann, Jian Liang, Huiping Li |
| 2003 | ICIP | Adaptive system on a chip (ASOC): a backbone for power-aware signal processing cores. | Andrew Laffely, Jian Liang, Russell Tessier, Wayne P. Burleson |
| 2002 | DAS | Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning. | Jian Liang, David S. Doermann |
| 2002 | ICPR | Page Classification through Logical Labelling. | Jian Liang, David S. Doermann, Matthew Y. Ma, Jinhong Katherine Guo |
| 2000 | ICIP | Analysis, Understanding and Representation of Chinese Newspaper with Complex Layout. | Ming Chen, Xiaoqing Ding, Jian Liang |