Liang, Jian

67 publications

ICLR 2026 ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization Yuguang Liu, Luyao Xia, Hu Liu, Yanzhangxi, Jian Liang, Han Li, Kun Gai

ICLR 2026 Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following Fangrui Lv, Yulei Qin, Ruixin Hong, Jian Liang, Jinyang Wu, Ke Li, Xing Sun, Changshui Zhang

ICLR 2026 Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs Dong Yan, Jian Liang, Ran He, Tieniu Tan

ICLR 2026 Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

NeurIPS 2025 Backdoor Cleaning Without External Guidance in MLLM Fine-Tuning Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye

ICML 2025 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

ICML 2025 Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye

ICCV 2025 Cooperative Pseudo Labeling for Unsupervised Federated Classification Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He

CVPR 2025 Do We Really Need Curated Malicious Data for Safety Alignment in Multi-Modal Large Language Models? Yanbo Wang, Jiyang Guan, Jian Liang, Ran He

AAAI 2025 Exploring Vacant Classes in Label-Skewed Federated Learning Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan

ICML 2025 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

AAAI 2025 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

ICML 2025 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

ICML 2025 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

ICLR 2025 LoRA-Pro: Are Low-Rank Adapters Properly Optimized? Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye

AAAI 2025 Protecting Model Adaptation from Trojans in the Unlabeled Data Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CVPR 2025 R-TPT: Improving Adversarial Robustness of Vision-Language Models Through Test-Time Prompt Tuning Lijun Sheng, Jian Liang, Zilei Wang, Ran He

ICML 2025 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

NeurIPS 2025 The Illusion of Progress? a Critical Look at Test-Time Adaptation for Vision-Language Models Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

ICLR 2024 A Hard-to-Beat Baseline for Training-Free CLIP-Based Adaptation Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan

CVPR 2024 Backdoor Defense via Test-Time Detecting and Repairing Jiyang Guan, Jian Liang, Ran He

ICLR 2024 CLAP: Collaborative Adaptation for Patchwork Learning Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang

ICML 2024 Connecting the Dots: Collaborative Fine-Tuning for Black-Box Vision-Language Models Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

NeurIPS 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-Time Adaptation Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li

AAAI 2024 HORIZON: High-Resolution Semantically Controlled Panorama Synthesis Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma

ICML 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo

ICML 2024 Realistic Unsupervised CLIP Fine-Tuning with Universal Entropy Optimization Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan

ECCV 2024 STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay Yu Yongcan, Lijun Sheng, Ran He, Jian Liang

ICLR 2024 Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks Yanbo Wang, Jian Liang, Ran He

NeurIPS 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and a Certified Baseline Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo

NeurIPS 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments Mixue Xie, Shuang Li, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu

ICLR 2023 Free Lunch for Domain Adversarial Training: Environment Label Smoothing YiFan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

CVPR 2023 Improving Generalization with Domain Convex Game Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu

ICCV 2023 Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang

CVPR 2023 Mind the Label Shift of Augmentation-Based Graph OOD Generalization Junchi Yu, Jian Liang, Ran He

NeurIPS 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang

NeurIPSW 2023 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo

NeurIPSW 2023 Simplifying and Stabilizing Model Selection in Unsupervised Domain Adaptation Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo

ICCV 2023 TALL: Thumbnail Layout for Deepfake Video Detection Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He

ICLR 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Tan, Song Bai

NeurIPS 2022 Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan, Jian Liang, Ran He

CVPR 2022 Causality Inspired Representation Learning for Domain Generalization Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu

NeurIPS 2022 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation Chunyu Wei, Jian Liang, Di Liu, Fei Wang

CVPR 2022 DINE: Domain Adaptation from Single and Multiple Black-Box Predictors Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

ECCV 2022 Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-Identification Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun

CVPR 2022 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

NeurIPS 2022 NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis Jian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan

ECCV 2022 NÜWA: Visual Synthesis Pre-Training for Neural visUal World creAtion Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan

NeurIPS 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang

NeurIPS 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

AAAI 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

CVPR 2021 Domain Adaptation with Auxiliary Target Domain-Oriented Classifier Jian Liang, Dapeng Hu, Jiashi Feng

NeurIPS 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng

NeurIPS 2021 Pareto Domain Adaptation Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

ICLR 2021 Policy-Driven Attack: Learning to Query for Hard-Label Black-Box Adversarial Examples Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang

ICCV 2021 Semantic Concentration for Domain Adaptation Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li

NeurIPS 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng

ECCV 2020 A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng

ICML 2020 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang, Dapeng Hu, Jiashi Feng

CVPR 2019 Additive Adversarial Learning for Unbiased Authentication Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu

CVPR 2019 Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation Jian Liang, Ran He, Zhenan Sun, Tieniu Tan

CVPR 2018 Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun

AAAI 2017 Self-Paced Learning: An Implicit Regularization Perspective Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu

IJCAI 2016 Group-Invariant Cross-Modal Subspace Learning Jian Liang, Ran He, Zhenan Sun, Tieniu Tan

CVPR 2012 Geometric Understanding of Point Clouds Using Laplace-Beltrami Operator Jian Liang, Rongjie Lai, Tsz Wai Wong, Hongkai Zhao

CVPR 2005 Flattening Curved Documents in Images Jian Liang, Daniel DeMenthon, David S. Doermann