PPaperPicks

Jian Liang

Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Beijing, China

20 papers at tracked venues · 19 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3890-1894 ↗Google Scholar ↗Homepage ↗

Venues

ICML ×4AAAI ×3CVPR ×3ICLR ×3ACL ×2NeurIPS ×2ACM MM ×1ECCV ×1ICCV ×1

Frequent coauthors

Ran He
×15
Tieniu Tan
×8
Zilei Wang
×8
Lijun Sheng
×7
Zhengbo Wang
×4
Yongcan Yu
×3
Kuangpu Guo
×3
Yanbo Wang
×3
Shuo Lu
×2
Jiyang Guan
×2
Dapeng Hu
×2
Chuan Sheng Foo
×2

Papers

  1. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
    ACL 2026 ·
    Yongcan Yu
    ,
    Lingxiao He
    , Jian Liang,
    Kuangpu Guo
    ,
    Meng Wang
    ,
    Qianlong Xie
    ,
    Xingxing Wang
    ,
    Ran He
  2. What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
    ACL 2026 ·
    Dong Yan
    , Jian Liang,
    Yanbo Wang
    ,
    Shuo Lu
    ,
    Ran He
    ,
    Tieniu Tan
  3. Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
    ICML 2025 ·
    Yiyang Fang
    , Jian Liang,
    Wenke Huang
    ,
    He Li
    ,
    Kehua Su
    ,
    Mang Ye
  4. Cooperative Pseudo Labeling for Unsupervised Federated Classification
    ICCV 2025 ·
    Kuangpu Guo
    ,
    Lijun Sheng
    ,
    Yongcan Yu
    , Jian Liang,
    Zilei Wang
    ,
    Ran He
  5. Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
    CVPR 2025 ·
    Yanbo Wang
    ,
    Jiyang Guan
    , Jian Liang,
    Ran He
  6. Exploring Vacant Classes in Label-Skewed Federated Learning
    AAAI 2025 ·
    Kuangpu Guo
    ,
    Yuhe Ding
    , Jian Liang,
    Zilei Wang
    ,
    Ran He
    ,
    Tieniu Tan
  7. LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
    AAAI 2025 ·
    Jian Jia
    ,
    Yipei Wang
    ,
    Yan Li
    ,
    Honggang Chen
    ,
    Xuehan Bai
    ,
    Zhaocheng Liu
    , Jian Liang,
    Quan Chen
    ,
    Han Li
    ,
    Peng Jiang
    ,
    Kun Gai
  8. LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
    ICLR 2025 ·
    Zhengbo Wang
    , Jian Liang,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  9. Protecting Model Adaptation from Trojans in the Unlabeled Data
    AAAI 2025 ·
    Lijun Sheng
    , Jian Liang,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  10. R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
    CVPR 2025 ·
    Lijun Sheng
    , Jian Liang,
    Zilei Wang
    ,
    Ran He
  11. The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
    NeurIPS 2025 ·
    Lijun Sheng
    , Jian Liang,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  12. Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation
    ACM MM 2025 ·
    Shuo Lu
    ,
    Yanyin Chen
    ,
    Wei Feng
    ,
    Jiahao Fan
    ,
    Fengheng Li
    ,
    Zheng Zhang
    ,
    Jingjing Lv
    ,
    Junjie Shen
    ,
    Ching Law
    , Jian Liang
  13. A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
    ICLR 2024 ·
    Zhengbo Wang
    , Jian Liang,
    Lijun Sheng
    ,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  14. Backdoor Defense via Test-Time Detecting and Repairing
    CVPR 2024 ·
    Jiyang Guan
    , Jian Liang,
    Ran He
  15. Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
    ICML 2024 ·
    Zhengbo Wang
    , Jian Liang,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  16. Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
    ICML 2024 ·
    Dapeng Hu
    , Jian Liang,
    Xinchao Wang
    ,
    Chuan-Sheng Foo
  17. Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
    ICML 2024 · Jian Liang,
    Lijun Sheng
    ,
    Zhengbo Wang
    ,
    Ran He
    ,
    Tieniu Tan
  18. STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
    ECCV 2024 ·
    Yongcan Yu
    ,
    Lijun Sheng
    ,
    Ran He
    , Jian Liang
  19. Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
    ICLR 2024 ·
    Yanbo Wang
    , Jian Liang,
    Ran He
  20. Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
    NeurIPS 2024 ·
    Dapeng Hu
    ,
    Romy Luo
    , Jian Liang,
    Chuan Sheng Foo