Jiaye Teng

Jiaye Teng Assistant Professor, SUFE Email: tengjiaye [at] sufe.edu.cn Research interests: generalization theory, machine learning and statistics Office: 1307

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!

News

Publications

• 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

• 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