| 2026 | ACL | LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory. | Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen |
| 2026 | ACL | Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models. | Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen |
| 2026 | KDD | Certified Defense on the Fairness of Graph Neural Networks. | Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li |
| 2025 | AAAI | 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 |
| 2025 | ICML | Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. | Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li |
| 2024 | CIKM | 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 |
| 2024 | ICLR | Adversarial Attacks on Fairness of Graph Neural Networks. | Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li |
| 2024 | ICML | Verification of Machine Unlearning is Fragile. | Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li |
| 2024 | ICML | Towards Certified Unlearning for Deep Neural Networks. | Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li |
| 2024 | KDD | IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. | Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li |
| 2024 | KDD | Federated Graph Learning with Structure Proxy Alignment. | Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li |
| 2023 | SDM | RELIANT: Fair Knowledge Distillation for Graph Neural Networks. | Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li |