About Me
梁坚 (Jian Liang, Tim)
Associate Professor
Center for Research on Intelligent Perception and Computing
Institute of Automation, Chinese Academy of Sciences
Room 1505, Intelligent Building, 95 Zhongguancun East Road
100190, Haidian District, Beijing, China
👻Resume
♟Github
🎖Google Scholar
📄Arxiv
⇰ liangjian92🌀gmail.com or jian.liang🌀nlpr.ia.ac.cn
Before joining CASIA in June 2021, I was a research fellow at the Vision and Learning Group, National University of Singapore, working with Dr. Jiashi Feng from June 2019 to April 2021. I obtained Ph.D. in Pattern Recognition and Intelligent Systems from CASIA in Jan 2019, under the supervision of Prof. Tieniu Tan and co-supervision of Prof. Ran He and Prof. Zhenan Sun, and received my bachelor degree in Automation from Xi'an Jiaotong University in June 2013.
My current research interests mainly focus on representation learning, knowledge transfer, trustworthy AI (including security, privacy, or robustness in AI), and their applications in various computer vision problems.
I am open to discussion or collaboration. Feel free to drop me an email if you're interested.
News (the past year)
[2025/07] One paper has been accepted to ACM-MM 2025.
[2025/06] One paper has been accepted to ICCV 2025.
[2025/06] I am invited as an Area Chair of WACV 2026.
[2025/02] Two papers have been accepted to CVPR 2025.
[2025/01] Our paper on LoRA has been accepted to ICLR 2025.
[2024/12] I am invited as an Area Chair of ICCV 2025.
[2024/12] I am invited as an Associate Editor of Pattern Recognition.
[2024/12] Two papers have been accepted to AAAI 2025.
[2024/12] I am invited as an Area Chair of IJCAI 2025.
[2024/11] I am invited as an Area Chair of ICML 2025.
[2024/10] Our extension on model fingerprinting has been accepted to IJCV.
[2024/09] Our paper on validation of unsupervised domain adaptation methods has finally been accepted to NeurIPS Datasets and Benchmarks Track 2024.
[2024/08] I am invited as an Area Chair of ICLR 2025.
[2024/07] Our paper on source-free semantic segmentation has finally been accepted to TPAMI.
[2024/07] Our survey on test-time adaptation has been accepted to IJCV.
[2024/07] Our paper on open-set test-time adaptation has been accepted to ECCV 2024.
Recent Work
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
International Conference on Learning Representations (ICLR), Spotlight, 2025.
[Paper] [Link] [Code]
The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models.
Arxiv technical report, 2025.
[Paper] [Link] [Code]
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper] [Link] [Code]
Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models.
Arxiv technical report, 2025.
[Paper] [Link]
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper] [Link] [Code]
Cooperative Pseudo Labeling for Unsupervised Federated Classification.
International Conference on Computer Vision (ICCV), 2025.
[Paper] [Link] [Code]
Exploring Vacant Classes in Label-Skewed Federated Learning.
AAAI Conference on Artificial Intelligence (AAAI), 2025
[Paper] [Link] [Code]
Ranking Vision-Language Models in Fully Unlabeled Tasks.
Abstract:
Arxiv technical report, 2025.
[Paper] [Link]
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances.
Arxiv technical report, 2025.
[Paper] [Link] [Code]
Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation.
ACM International Conference on Multimedia (ACM MM), 2025.
[Paper] [Link] [Code]