Hanze Dong

董瀚泽

About

Hanze Dong is a Ph.D. candidate in Mathematics at the Hong Kong University of Science and Technology (HKUST), where he is being advised by Professor Tong Zhang. He previously earned his Bachelor of Science in Mathematics from Fudan University under the supervision of Professor Yanwei Fu.

His research interests encompass a broad range of topics, including statistical sampling, generative modeling, optimal transport, stochastic processes, randomized estimators, and their theories and applications in machine learning. His passion for these subjects drives him to continuously explore new frontiers in the field and advance our understanding of these complex systems.

Research

Publications

  • Particle-based Variational Inference with Preconditioned Functional Gradient Flow
    Hanze Dong, Xi Wang, Yong Lin, Tong Zhang; International Conference on Learning Representations (ICLR), 2023. [Paper]
  • Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
    Xun Qian, Hanze Dong, Tong Zhang, Peter Richtárik; International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. [Paper]
  • Weakly Supervised Disentangled Generative Causal Representation Learning
    Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang; Journal of Machine Learning Research (JMLR), 2022. [Paper]
  • Local Augmentation for Graph Neural Networks
    Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu; International Conference on Machine Learning (ICML), 2022. [Paper]
  • Bayesian Invariant Risk Minimization
    Yong Lin*, Hanze Dong*, Hao Wang, Tong Zhang; Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral) [Paper]
  • Learning the Compositional Spaces for Generalized Zero-shot Learning
    Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Xiangyang Xue; Computer Vision and Image Understanding (CVIU), 2022. [Paper]
  • Mathematical models of Overparameterized Neural Networks
    Cong Fang, Hanze Dong, Tong Zhang; Proceedings of the IEEE (PIEEE), 2021. [Paper]
  • Vocabulary-informed Zero-shot and Open-set Learning
    Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. [Paper]
  • Extreme vocabulary learning
    Hanze Dong, Zhenfeng Sun, Yanwei Fu, Shi Zhong, Zhengjun Zhang, Yu-Gang Jiang; Frontiers of Computer Science, 2019. [Paper]

Recent Preprints

  • Provable Particle-based Primal-Dual Algorithm for Mixed Nash Equilibrium
    Shihong Ding*, Hanze Dong*, Cong Fang, Zhouchen Lin, Tong Zhang; arXiv preprint arXiv:2303.00970, 2023. [Paper]
  • Normalizing Flow with Variational Latent Representation
    Hanze Dong*, Shizhe Diao*, Weizhong Zhang, Tong Zhang; arXiv preprint arXiv:2211.11638, 2022. [Paper]

Workshops

  • Particle-based Variational Inference with Preconditioned Functional Gradient Flow
    Hanze Dong, Xi Wang, Yong Lin, Tong Zhang; NeurIPS 2022 Workshop on Score-Based Methods, 2022.
  • How Powerful is Implicit Denoising in Graph Neural Networks
    Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu; NeurIPS 2022 Workshop on New Frontiers in Graph Learning, 2022.
  • Error Compensated Loopless SVRG for Distributed Optimization
    Xun Qian, Hanze Dong, Peter Richtárik, Tong Zhang; OPT2020: 12th Annual Workshop on Optimization for Machine Learning, 2020. [Link]
  • Error Compensated Proximal SGD and RDA
    Xun Qian, Hanze Dong, Peter Richtárik, Tong Zhang; OPT2020: 12th Annual Workshop on Optimization for Machine Learning, 2020. [Link]

Academic Services

Teaching

    2022-2023 Fall -- MATH 2011: Introduction to Multivariable Calculus.
    2022-2023 Fall -- MATH 6450J/COMP 6211E: Optimization for Machine Learning.
    2021-2022 Spring -- MATH 2011: Introduction to Multivariable Calculus.
    2021-2022 Fall -- MATH 1023: Honor Calculus.
    2020-2021 Spring -- MATH 1014: Calculus II.
    2020-2021 Fall -- MATH 1013: Calculus IB.
    2019-2020 Spring -- MATH 1014: Calculus II.
    2019-2020 Spring -- MATH 2411: Applied Statistics.

Awards

    2022 -- RedBird PhD Award, The Hong Kong University of Science and Technology.
    2020/2021/2022 -- Best TA Award, The Hong Kong University of Science and Technology.
    2019 -- Outstanding Graduates, Fudan University.
    2016 -- The First Price, China Undergraduate Physics Tournament
    2015 -- Outstanding Freshmen, Fudan University
    2014 -- The First Price, Chinese Physics Olympiad.

Contact Me

A at B dot com
A = hendrydong
B = gmail