Hi, I’m Qianyi (pronounced like “Channing”). I am a fourth-year PhD student in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. I’m fortunate to be advised by Prof. Bo Li. Prior to my doctoral studies, I earned a Bachelor of Engineering degree from Tsinghua University, majoring in Industrial Engineering with a minor in Data Science and Engineering.

My research interests include causal inference and uncertainty quantification in complex systems.

My goal is to develop effective, scalable, sample-efficient, and easy-to-implement statistical methodologies to address practical challenges.

Preprints

  • Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction\

    Qianyi Chen, Bo Li\

    2025\

    [arXiv] [code]

  • Just Ramp-up: Unleash the Potential of Regression-based Estimator for A/B Tests under Network Interference
    Qianyi Chen, Bo Li
    Under Review, 2025
    [arXiv] [code] [slides]

  • Practical Performative Policy Learning with Strategic Agents
    Qianyi Chen, Ying Chen, Bo Li
    Under Review, 2025
    [arXiv] [code][slides]


Publications

  • Optimized Covariance Design for AB Test on Social Network under Interference
    Qianyi Chen, Bo Li, Lu Deng, Yong Wang
    The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.
    [paper] [code] [poster] [slides]


Services

Conference reviewer

NeurIPS(2024-2025), ICLR(2025-2026), ICML(2025), AISTATS(2024)

Teaching

Probability and Statistics at Tsinghua University (Fall 2022, 2023, 2024, 2025; TA; with Prof. Bo Li, Prof. Xiaojie Mao)


Experience

  • Tencent, Wechat Group
    (Remote) Research Intern, Algorithm Developer
    Aug. 2022 - Jul. 2023

  • ByteDance, Data
    Intern, Machine Learning Algorithm Engineer
    Jul. 2021 – Nov. 2021