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

2023/09/22 Our paper on validation of unsupervised domain adaptation methods has been accepted to NeurIPS 2023.
2023/08/04 ProxyMix (source-free domain adaptation) has been accepted to Neural Networks (IF: 7.8).
2023/07/14 Four papers have been accepted to ICCV 2023.
2023/07/04 Benchmark-TTA (a benchmark for test-time adaptation) has been released.
2023/07/02 MAPS (source-free domain adaptive keypoint detection) has been accepted to IEEE TCSVT (IF: 8.4).

Recent Work

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts.

Jian Liang, Ran He, Tieniu Tan.
Arxiv technical report, 2023.
[Paper] [Code]

Towards Realistic Unsupervised Fine-tuning with CLIP.

Abstract:

Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan.
Arxiv technical report, 2023.
[Paper]

Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification.

Yongcan Yu, Lijun Sheng, Ran He, Jian Liang.
Arxiv technical report, 2023.
[Paper] [Code]

AdaptGuard: Defending Against Universal Attacks for Model Adaptation.

Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts.

Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]

TALL: Thumbnail Layout for Deepfake Video Detection.

Yuting Xu, Jian Liang, Ziming Yang, Gengyun Jia, Yanhao Zhang, Ran He.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]

Informative Data Mining for One-shot Cross-Domain Semantic Segmentation.

Yuxi Wang, Jian Liang, Yuran Yang, Zhaoxiang Zhang.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]

Group

Current Students

Lijun Sheng (with Prof. Tan), Jiyang Guan (with Prof. He)
Yuhe Ding (with Prof. Jiang), Aijing Yu (with Prof. Zhang)
Zhengbo Wang (with Prof. Tan), Yuting Xu (with Prof. Zhang)
Yanbo Wang (with Prof. He)
Puning Yang (with Prof. He)
Yongcan Yu, Kuangpo Guo (with Prof. Tan)
Jia-Nan Li, Xiaokun Yang (with Prof. Tan)
Zixi Zhu (Intern)

Alumni (Since 2019)

Dapeng Hu, Research Scientist @ A*STAR
Yujun Shi, PhD @ NUS
Mi Luo, PhD @ UT Austin
Yifan Zhang, PhD @ NUS
Lingxiao He, Research Scientist @ JD
Yunbo Wang, Assistant Professor @ CSU
Boqiang Xu, Postdoc @ NUS
Yuxi Wang, Assistant Professor @ HKISI, CAS
Junchi Yu, PhD @ CASIA
Yi-Fan Zhang, PhD @ CASIA
Ziming Yang, PRC MFA
Kekai Sheng, Research Scientist @ Momenta