Binchi Zhang

About

I am currently a Ph.D. student at the University of Virginia, advised by Dr. Jundong Li. Before joining the University of Virginia, I obtained my bachelor’s degree at Xi’an Jiaotong University, where I worked with Prof. Minnan Luo. My research interests include trustworthy machine learning, graph learning, machine unlearning, and federated learning.

Education

University of Virginia

United States of America
Ph.D

Xi'an Jiaotong University

China
Bachelor

Publications

Federated Graph Learning with Structure Proxy Alignment

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

conference-paper

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

conference-paper

Adversarial Attacks on Fairness of Graph Neural Networks

International Conference on Learning Representations

conference-paper

Safety in Graph Machine Learning: Threats and Safeguards

preprint

Towards Certified Unlearning for Deep Neural Networks

Proceedings of the 41st International Conference on Machine Learning

conference-paper

Verification of Machine Unlearning is Fragile

Proceedings of the 41st International Conference on Machine Learning

conference-paper

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach

Chinese Intelligent Automation Conference

conference-paper

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks

preprint

RELIANT: Fair Knowledge Distillation for Graph Neural Networks

SIAM International Conference on Data Mining

conference-paper

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

ACM SIGKDD Explorations Newsletter

journal-article

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets and Benchmarks Track

conference-paper

Tackling the Local Bias in Federated Graph Learning

preprint