Jiaye Teng
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Jiaye Teng |
About Me
I am a tenure-track assistant professor at the School of Statistics and Data Science, Shanghai University of Finance and Economics. I did my PhD at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, advised by Professor Yang Yuan. I did my undergraduate at Shanghai University of Finance and Economics, advised by Professor Yang Bai. I previously visited Princeton University, advised by Professor Sanjeev Arora.
Research Interests
My research interests lie in the machine learning theory, especially in the generalization of neural networks. I am also interested in statistical learning theory, including conformal inference and causal inference.
If you want to have a chat, always feel free to contact me through Email!
I am happy to host remote graduate / undergraduate visitors and actively looking for Ph.D. students.
If you are interested, please read the guidelines and contact me!
News
Publications
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng†
International Conference on Learning Representations (ICLR) 2025
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization [arxiv]
Peiyuan Zhang , Jiaye Teng , Jingzhao Zhang
International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
When do Models Generalize? A Perspective from Data-Algorithm Compatibility [arxiv]
Jing Xu* , Jiaye Teng* , Yang Yuan, Andrew Chi-Chih Yao
Conference on Neural Information Processing Systems (NeurIPS) 2023
Finding Generalization Measures by Contrasting Signal and Noise [paper]
Jiaye Teng*, Bohang Zhang*, Ruichen Li*, Haowei He*, Yequan Wang, Yan Tian, Yang Yuan International Conference on Machine Learning (ICML) 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning [arxiv]
Chenzhuang Du*, Jiaye Teng*, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
International Conference on Machine Learning (ICML) 2023
Predictive Inference with Feature Conformal Prediction [arxiv]
Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan
International Conference on Learning Representations (ICLR) 2023
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models [arxiv]
Kaiyue Wen*, Jiaye Teng*, Jingzhao Zhang
International Conference on Learning Representations (ICLR) 2023
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming [arxiv] [paper]
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
International Conference on Machine Learning (ICML) 2022
Towards Understanding Generalization via Decomposing Excess Risk Dynamics [arxiv] [paper]
Jiaye Teng* , Jianhao Ma* , Yang Yuan
International Conference on Learning Representations (ICLR) 2022
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis [arxiv]
Jiaye Teng* , Weiran Huang* , Haowei He*
International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP [arxiv] [paper]
Jiaye Teng* , Zeren Tan* , Yang Yuan
International Conference on Machine Learning (ICML) 2021
Academic Service
- Workshop Organizer : BGPT @ICLR 2024
- Seminar Organizer (Chinese): International Seminar on Foundational Artificial Intelligence (FAI-Seminar)
- Seminar Organizer: Foundations Of Data Science (FODS)
- Reviewer: ICML, NeurIPS, ICLR, AISTATS, T-PAMI
Honors
- 2025 CCF Incentive Program for Doctoral Dissertations in Theoretical Computer Science (Nomination)
- 2024 Outstanding Graduate at Tsinghua University
- 2024 Outstanding Doctoral Dissertation at Tsinghua University
- 2023 Wang Dazhong Scholarship at Tsinghua University
- 2022 National Scholarship at Tsinghua University
- Top Reviewer in NeurIPS 2022
- 2020 Excellent Graduates in Shanghai
- 2018 National Scholarship at Shanghai University of Finance and Economics