My research spans machine learning algorithms and applications. I am working on data-efficient learning, which includes transfer learning, semi-supervised learning and multi-task learning. I am also interested in related topics in machine learning and deep learning, such as foundation models, time series analysis and multi-modal learning.
I am currently an Assistant Professor in School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). I received my Ph.D. degree from School of Software, Tsinghua University, advised by Mingsheng Long. I received my B.S. degree from Department of Electrical Engineering, Tsinghua University.
Recruit
I'm recruiting self-motivated master students and undergraduate 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!
Publications
- Boosting Transferability and Discriminability for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen*, Yang Shu*, Xiucheng Li*, Weili Guan, Liqiang Nie
Neural Information Processing Systems (NeurIPS), 2024
(accepted)
- Frequency-aware Generative Models for Multivariate Time-series Imputation
Xinyu Yang, Yu Sun*, Xiaojie Yuan, Xinyang Chen*
Neural Information Processing Systems (NeurIPS), 2024
(accepted)
- Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li
Neural Information Processing Systems (NeurIPS), 2024
(accepted)
- Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
Haokun Gui, Xiucheng Li*, Xinyang Chen*
International Conference on Machine Learning (ICML), 2024
[Paper]
[Code]
- Recommender Transformers with Behavior Pathways
Zhiyu Yao*, Xinyang Chen*, Sinan Wang*, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long*
International World Wide Web Conference (WWW), 2024
[Paper]
- Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation
Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen
Database Systems for Advanced Applications (DASFAA), 2024
(accepted)
- X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long*
International Conference on Learning Representations (ICLR), 2022
[Paper]
- Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long*
International Conference on Machine Learning (ICML), 2021
[Paper]
[Code]
- Progressive Adversarial Networks for Fine-Grained Domain Adaptation
Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long*, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper]
[Code]
- Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen*, Sinan Wang*, Bo Fu, Mingsheng Long, Jianmin Wang
Neural Information Processing Systems (NeurIPS), 2019
[Paper]
[Code]
- Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
Xinyang Chen, Sinan Wang, Mingsheng Long*, Jianmin Wang
International Conference on Machine Learning (ICML), 2019
[Paper]
[Code]
Academic Services
PC Member
- International Conference on Learning Representations (ICLR), 2021, 2022, 2023, 2024, 2025
- Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022, 2023, 2024
- International Conference on Machine Learning (ICML), 2021, 2022, 2023, 2024
- International Joint Conference on Artificial Intelligence (IJCAI), 2020
Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- International Journal of Computer Vision (IJCV)
- Artificial Intelligence Journal (AIJ)
- Transactions on Machine Learning Research (TMLR)
- IEEE Transactions on Image Processing (TIP)
- Machine Learning Journal (MLJ)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Awards
Top 100 Chinese New Stars in Artificial Intelligence. 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
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