Xinwei
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Xinwei Shen

I am a postdoctoral researcher at the Seminar for Statistics at ETH Zürich, advised by professors Peter Bühlmann and Nicolai Meinshausen. Previously, I obtained my PhD in the Department of Mathematics at Hong Kong University of Science and Technology in 2022, supervised by professor Tong Zhang. I obtained a Bachelor of Science degree from the Department of Statistics at Fudan University in 2018.

My research interests lie at the interface of statistics and machine learning. Currently, I am working on causality and robustness, distributional and generative modeling, as well as climate applications.

Email  /  Google Scholar  /  Github  /  LinkedIn

Publications

Journal Publications:

  • Weakly Supervised Disentangled Generative Causal Representation Learning
    X. Shen, F. Liu, H. Dong, Q. Lian, Z. Chen, T. Zhang
    Journal of Machine Learning Research, vol. 23, pp. 1-55, 2022 | paper | code | slides

  • Surprise Sampling: Improving and Extending the Local Case-Control Sampling
    X. Shen, K. Chen, W. Yu
    Electron. J. Statist., vol. 15, pp. 2454-2482, 2021 | paper

  • Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains
    Y. Chang, K. Gelwick, S. Willett, X. Shen, C. Albouy, A. Luo, Z. Wang, N. Zimmermann, L. Pellissier
    New Phytologist, 2023 | paper

  • In vivo single-cell lineage tracing in zebrafish using high-resolution infrared laser-mediated gene induction microscopy
    S. He, Y. Tian, S. Feng, Y. Wu, X. Shen, K. Chen, Y. He, et al.
    Elife, vol. 9, e52024, 2020 | paper

    Conference Publications:

  • Covariate-Shift Generalization via Random Sample Weighting
    Y. He, X. Shen, R. Xu, T. Zhang, Y. Jiang, W. Zou, P. Cui
    AAAI, 2023 | paper

  • Reframed GES with a Neural Conditional Dependence Measure
    X. Shen, S. Zhu, J. Zhang, S. Hu, Z. Chen
    UAI, 2022 | paper | code

  • TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation
    S. Diao*, X. Shen*, K. S. Shum, Y. Song, T. Zhang
    Findings of ACL, 2021 (*equal contribution) | paper | code

  • CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
    M. Yang, F. Liu, Z. Chen, X. Shen, J. Hao, J. Wang
    CVPR, 2021 | paper | code

    Preprints:

  • Engression: Extrapolation for Nonlinear Regression?
    X. Shen, N. Meinshausen
    paper | code

  • Causality-Oriented Robustness: Exploiting General Additive Interventions
    X. Shen, P. Bühlmann, A. Taeb
    paper | code

  • Invariant Probabilistic Prediction
    A. Henzi, X. Shen, M. Law, P. Bühlmann
    paper | code

  • Asymptotic Statistical Analysis of f-divergence GAN
    X. Shen, K. Chen, T. Zhang
    paper

  • To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints
    C. Rastogi, I. Stelmakh, X. Shen, M. Meila, F. Echenique, S. Chawla, N. B Shah
    paper

  • Bidirectional Generative Modeling Using Adversarial Gradient Estimation
    X. Shen, T. Zhang, K. Chen
    paper | code

    Thesis:

    PhD Thesis: Statistical and Structural Properties of Generative Models

    • Academic Services

  • Co-organizer of the Young Data Science Researcher Seminar Zürich 2022-

  • Workflow Chair of ICML 2021

  • Reviewer of JMLR, TNNLS, Neural Computation, Machine Learning, Neural Networks, UAI, NeurIPS, ICML, ICLR, CLeaR

    • Industry Experience

  • Research Intern, Huawei Noah's Ark Lab, Hong Kong
    Topic: Causal Machine Learning
    Mentor: Jiji Zhang, Zhitang Chen
    July 2020 - Dec. 2020

  • Research Intern, Beijing Seniverse Technology Co., Ltd, Beijing
    Topic: weather forecasting
    Dec. 2017 - Apr. 2018

    • Teaching

    ETH Zurich:

  • Lecturer of AI Center Projects in Machine Learning Research (Spring 2023)

    Teaching assistant at HKUST:

  • MATH 3424: Regression Analysis (Fall 2020, Spring 2021)

  • MATH 3423: Statistical Inference (Spring 2020)

  • MATH 1013: Calculus IB (Fall 2019)

  • MATH 4426: Survival Analysis (Spring 2019)

    • Awards

  • ETH AI Center Post-Doctoral Fellowship, 2022 - 2023

  • Din-Yu Hsieh Teaching Award, Department of Mathematics, HKUST, 2019 - 2021

  • Postgraduate Scholarship, HKUST, 2018 - 2022

  • Excellent Graduate of Fudan University, 2018

  • China National Scholarship, 2016 - 2017

    • Other Activities

  • Member of HKUST & Fudan Table Tennis Team

  • Member of Fudan Chinese Orchestra

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