PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. - Binchi Zhang; Minnan Luo; Shangbin Feng; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (CoRR, 2021)

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 004; Shujie Yang; Xinshun Feng; Qingyue Zhang; et al. (NeurIPS, 2022)

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. - Shujie Yang; Binchi Zhang; Shangbin Feng; Zhaoxuan Tan; Qinghua Zheng; Jun Zhou 011; Minnan Luo (CoRR, 2022)

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. - Xingbo Fu; Binchi Zhang; Yushun Dong; Chen Chen 022; Jundong Li (SIGKDD Explor., 2022)

RELIANT: Fair Knowledge Distillation for Graph Neural Networks. - Yushun Dong; Binchi Zhang; Yiling Yuan; Na Zou 001; Qi Wang; Jundong Li (SDM, 2023)

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. - Yushun Dong; Binchi Zhang; Hanghang Tong; Jundong Li (CoRR, 2023)

A Multiple Agile Satellite Staring Observation Mission Planning Method for Dense Regions. - Weiquan Huang; He Wang; Dongbo Yi; Song Wang 026; Binchi Zhang; Jingwen Cui (Remote. Sens., 2023)

Understanding and Modeling Job Marketplace with Pretrained Language Models. - Yaochen Zhu; Liang Wu 006; Binchi Zhang; Song Wang 013; Qi Guo; Liangjie Hong; Luke Simon; Jundong Li (CIKM, 2024)

Adversarial Attacks on Fairness of Graph Neural Networks. - Binchi Zhang; Yushun Dong; Chen Chen 022; Yada Zhu; Minnan Luo; Jundong Li (ICLR, 2024)

Verification of Machine Unlearning is Fragile. - Binchi Zhang; Zihan Chen 002; Cong Shen 001; Jundong Li (ICML, 2024)

Towards Certified Unlearning for Deep Neural Networks. - Binchi Zhang; Yushun Dong; Tianhao Wang; Jundong Li (ICML, 2024)

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. - Yushun Dong; Binchi Zhang; Zhenyu Lei 004; Na Zou 001; Jundong Li (KDD, 2024)

Federated Graph Learning with Structure Proxy Alignment. - Xingbo Fu; Zihan Chen 002; Binchi Zhang; Chen Chen 022; Jundong Li (KDD, 2024)

Safety in Graph Machine Learning: Threats and Safeguards. - Song Wang 013; Yushun Dong; Binchi Zhang; Zihan Chen 002; Xingbo Fu; Yinhan He; Cong Shen 001; Chuxu Zhang; Nitesh V. Chawla; Jundong Li (CoRR, 2024)

Federated Graph Learning with Graphless Clients. - Xingbo Fu; Song Wang 013; Yushun Dong; Binchi Zhang; Chen Chen 022; Jundong Li (Trans. Mach. Learn. Res., 2024)

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. - Xingbo Fu; Zihan Chen 002; Yinhan He; Song Wang 013; Binchi Zhang; Chen Chen 022; Jundong Li (AAAI, 2025)

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating. - Binchi Zhang; Zhengzhang Chen; Zaiyi Zheng; Jundong Li; Haifeng Chen (CoRR, 2025)

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. - Binchi Zhang; Zaiyi Zheng; Zhengzhang Chen; Jundong Li (CoRR, 2025)