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Xinwei Shen

I am a Ph.D. candidate in the Department of Mathematics at The Hong Kong University of Science and Technology (HKUST) advised by Professor Tong Zhang and Professor Kani Chen. Prior to attending HKUST, 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 with the goal of developing effective machine learning algorithms with theoretical guarantees. Currently, I am working on causal inference, disentanglement, and generative models (e.g., GANs).

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Journal Publications:

  • Surprise sampling: Improving and extending the local case-control sampling
    Xinwei Shen, Kani Chen, Wen Yu
    Electron. J. Statist., vol. 15, pp. 2454-2482, 2021 | paper

  • In vivo single-cell lineage tracing in zebrafish using high-resolution infrared laser-mediated gene induction microscopy
    Sicong He, Ye Tian, Shachuan Feng, Yi Wu, Xinwei Shen, Kani Chen, Yingzhu He, et al.
    Elife, vol. 9, e52024, 2020 | paper

    Conference Publications:

  • TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation
    Shizhe Diao*, Xinwei Shen*, KaShun Shum, Yan Song, Tong Zhang
    Findings of ACL, 2021 (*equal contribution) | paper | code

  • CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
    Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
    CVPR, 2021 | paper | code


  • Disentangled Generative Causal Representation Learning
    Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
    paper | code | slides

  • Bidirectional Generative Modeling Using Adversarial Gradient Estimation
    Xinwei Shen, Tong Zhang, Kani Chen
    paper | code

  • Asymptotic Statistical Analysis of f-divergence GAN
    Xinwei Shen, Kani Chen, Tong Zhang
    Available upon request

  • Academic Services

  • Workflow Chair of ICML 2021

  • Reviewer of JMLR, Neural Computation, TNNLS
  • Industry Experience

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

  • Teaching

    Teaching Assistant:

  • 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

  • Postgraduate Studentship, 2018 - 2022

  • Best TA Teaching Award, 2019 - 2021

  • 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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