Binchi Zhang

According to our database, Binchi Zhang authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

CoRR, 2024

Federated Graph Learning with Graphless Clients.

Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li

CoRR, 2024

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

CoRR, 2024

Federated Graph Learning with Structure Proxy Alignment.

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Certified Unlearning for Deep Neural Networks.

Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Verification of Machine Unlearning is Fragile.

Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Attacks on Fairness of Graph Neural Networks.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding and Modeling Job Marketplace with Pretrained Language Models.

Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Multiple Agile Satellite Staring Observation Mission Planning Method for Dense Regions.

Weiquan Huang, He Wang, Dongbo Yi, Song Wang, Binchi Zhang, Jingwen Cui

Remote. Sens., November, 2023

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.

Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li

CoRR, 2023

RELIANT: Fair Knowledge Distillation for Graph Neural Networks.

Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

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

Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li

SIGKDD Explor., 2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.

Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo

CoRR, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.

Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng

CoRR, 2021