Chao Du

Research Engineer, Alibaba Group
Email: duchao0726 at gmail dot com

I am currently a research engineer at Alibaba, Beijing. Before that, I finished my Ph.D. in 2019 at TSAIL Group in Department of Computer Science and Technology at Tsinghua University, advised by Prof. Jun Zhu and Prof. Bo Zhang. And I received my B.Eng. from the Yao Class in Institute for Interdisciplinary Information Sciences at Tsinghua University in 2014.

My research interests include deep learning algorithms and applications, especially the intersection of deep learning and statistical machine learning methods. Currently, I focus on developing learning and (Bayesian) inference methods for topics related to online advertising/recommendation systems.

News

  • Our team TSAIL (Team members include me, Tianyu Pang and Yinpeng Dong) won the first place of the CAAD CTF competition at DEF CON 26. See news report.

Publications (* denotes equal contribution.)

  • Learning Implicit Generative Models by Teaching Density Estimators
    Kun Xu*, Chao Du*, Chongxuan Li, Jun Zhu, Bo Zhang
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Ghent, Belgium, 2020
    [Paper] [Codes]
  • Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
    Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
    International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020
    [Paper] [Codes]
  • To Relieve Your Headache of Training an MRF, Take AdVIL
    Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
    International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020
    [Paper] [Codes]
  • Improving Adversarial Robustness via Promoting Ensemble Diversity
    Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
    International Conference on Machine Learning (ICML), Long Beach, USA, 2019
    [Paper] [Codes]
  • Towards Robust Detection of Adversarial Examples
    Annual Conference on Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018
    [Paper] [Codes]
  • Learning Implicit Generative Models by Teaching Explicit Ones
    Chao Du*, Kun Xu*, Chongxuan Li, Jun Zhu, Bo Zhang
    Presented at the ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, Stockholm, Sweden, 2018.
    [Paper] [Codes]
  • Max-Mahalanobis Linear Discriminant Analysis Networks
    Tianyu Pang, Chao Du, Jun Zhu
    International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018
    [Paper] [Codes]
  • Collaborative Filtering with User-Item Co-Autoregressive Models
    Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang
    Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, 2018
    [Paper] [Codes]
  • Learning Deep Generative Models with Doubly Stochastic Gradient MCMC
    Chao Du, Jun Zhu, Bo Zhang
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, 29(7): 3084-3096.
    [Paper] [Codes]
  • Composite Quantization for Approximate Nearest Neighbor Search
    Ting Zhang, Chao Du, Jingdong Wang
    International Conference on Machine Learning (ICML), Beijing, China, 2014
    [Paper]

Preprints

Contact Me

duchao0726 at gmail dot com