Jiaye Teng

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

About Me

I am a tenure-track assistant professor at the School of Statistics and Management, Shanghai University of Finance and Economics (2024-). I did my PhD at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, advised by Professor Yang Yuan (2020-2024). I did my undergraduate at Shanghai University of Finance and Economics, advised by Professor Yang Bai (2016-2024). I previously visited Princeton University, advised by Professor Sanjeev Arora (2023).

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!

Recruitment for Ph.D. Students / Interns

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

  • I am going to join School of Statistics and Management, Shanghai University of Finance and Economics as a tenure-track assistance professor.
  • We are organizing a workshop in ICLR 2024 named "Bridging the Gap Between Practice and Theory in Deep Learning", please refer to here
  • 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

    Honors

    • 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