Lijun Sheng (Tom)

PhD Student, University of Science and Technology of China CRIPAC & MAIS, Institute of Automation, Chinese Academy of Sciences Email: slj0728@mail.ustc.edu.cn

About me

I am currently a Ph.D. student in University of Science and Technology of China, supervised by Prof. Tieniu Tan and jointly supervised by Prof. Jian Liang, Prof. Ran He and Prof. Zilei Wang. Before that, I received bachelor's degree in Automation in University of Science and Technology of China in 2020. My research interests are transfer learning and security problem in deep learning.

News

• [2023.10] I attended the ICCV 2023 from 1st to 5th in Paris.

• [2023.09] We won 1st place in the universal DA track of GeoNet Challenge.

• [2023.07] One paper accepted by ICCV 2023.

Education

• Ph.D, Department of Automation, University of Science and Technology of China. (August 2020 to now)
  Advised by Prof. Tieniu Tan.

• Bachelor, Department of Automation, University of Science and Technology of China. (August 2016 to July 2020)
  

Publications

• 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.

• Self-training solutions for the ICCV 2023 GeoNet Challenge.
  Lijun Sheng, Zhengbo Wang, Jian Liang.
  Technical report (Winners in the [universal DA track] of GeoDA workshop challenges), 2023.

• Proxymix: Proxy-based mixup training with label refinery for source-free domain adaptation.
  Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng and Ran He.
  Neural Networks (NN), 2023.

• Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection.
  Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang.
  submitted to International Journal of Computer Vision (IJCV), under review, 2023.

• Towards Realistic Unsupervised Fine-tuning with CLIP.
  Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan.
  Arxiv technical report, 2023.

• Unleashing the Power of Neural Collapse for Transferability Estimation.
  Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang.
  Arxiv technical report, 2023.

• Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification.
  Yongcan Yu, Lijun Sheng, Ran He, Jian Liang.
  Arxiv technical report, 2023.

Academic Services

Reviewer of the following conferences and journals:

• CVPR, NeruIPS, ICML, ICLR.

• TIP.

Teaching Experience

Teaching Assistant of the following courses in University of Science and Technology of China:

• Data Structures and Algorithms, Fall 2018.