About Me

I’m Xinyang Chen, a tenure-track assistant professor in School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Before that, I received my Ph.D. degree in School of Software, Tsinghua University in 2022, advised by Prof. Mingsheng Long. My research interests lie in transfer learning and adaptation.
[Google Scholar]
Room 1906, Building L, Harbin Institute of Technology (Shenzhen), Shenzhen, China.

Recruit

I’m recruiting self-motivated master students who have strong mathematical abilities and coding skills to work with me on machine learning related research topics. Welcome to send me your detailed resume!

Education

• PhD in Software Engineering, 2017-2022
  School of Software, Tsinghua University
• Bachelor in Electrical Engineering, 2013-2017
  Department of Electrical Engineering, Tsinghua University

Publications

1. Representation Subspace Distance for Domain Adaptation Regression
   Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long#
   [ICML2021][pdf][code]

2. Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
   Xinyang Chen*, Sinan Wang*, Bo Fu, Mingsheng Long#, Jianmin Wang
   [NeurIPS2019][pdf][code]

3. Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
   Xinyang Chen, Sinan Wang, Mingsheng Long#, Jianmin Wang
   [ICML2019][pdf][code]

4. X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
   Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long#
   [ICLR2022][arxiv]

5. Progressive Adversarial Networks for Fine-Grained Domain Adaptation
   Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long#, Jianmin Wang
   [CVPR2020][pdf][Code]

* Equal Contribution, # Corresponding Author

Professional Services

Program Committee Member:

• Neural Information Processing Systems (NeurIPS) 2020, 2021, 2022
• International Conference on Machine Learning (ICML) 2021, 2022
• International Conference on Learning Representations (ICLR) 2021, 2022
• International Joint Conference on Artificial Intelligence (IJCAI) 2020
• Distribution Shifts Workshop, NeurIPS 2021, 2022
• Robustness in Sequence Modeling Workshop, NeurIPS 2022

Peer Reviewer:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Image Processing (TIP)
• Transactions on Machine Learning Research (TMLR)
• Machine Learning (MLJ)

Awards

• Top 100 Chinese New Stars in Artificial Intelligence (华人AI新星百强榜). 2021 [Link]
• First Prize, Jiangzhen Scholarship, Tsinghua University, 2021
• First Prize, Guanglianda Scholarship, School of Software, Tsinghua University, 2020
• First Prize, Suzhou Industrial Park Scholarship, Tsinghua University, 2019
• First Prize, Award on Outstanding Research, Machine Learning Group, Tsinghua University, 2019
• First Prize, Outstanding Contribution Award, National Engineering Laboratory for BDSS, 2019