Publications

Conferences

• Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
  Hongwei Jin, Zishun Yu, Xinhua Zhang
  The Conference on Uncertainty in Artificial Intelligence (UAI), 2022.

• Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
  Hongwei Jin, Xun Chen
  The 31st International Conference on Artificial Intelligence (IJCAI), 2022.

• Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
  Hongwei Jin, Zhan Shi, Ashish Peruri, Xinhua Zhang
  Advances in Neural Information Processing Systems (NeurIPS), 2020. [Spotlight, PDF, code]

• Robust Training of Graph Convolutional Networks via Latent Perturbation
  Hongwei Jin, Xinhua Zhang
  European Conference on Machine Learning (ECML), 2020. [PDF, SlidesLive]

• Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning
  Hongwei Jin, Ning Yan, Masood Mortazavi
  IEEE/ACM International Conference on Big Data Computing, Applications and Technolgies (BDCAT), 2020.

Workshops

• Latent Adversarial Training of Graph Convolutional Networks
  Hongwei Jin, Xinhua Zhang
  Learning and Reasoning with Graph-Structured Representations @ ICML, 2019. [PDF]

Thesis

• (Doctoral dissertation) Robust Learning on Graphs
  Hongwei Jin. University of Illinois at Chicago, 2022.

• (Master's thesis) Renewable Energy in Microgrid: A Stochastic Optimization Approach
  Hongwei Jin. Illinois Institute of Technology, 2014.