Dong, Yushun

16 publications

AAAI 2025 BrainMAP: Learning Multiple Activation Pathways in Brain Networks Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li

ICLR 2025 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

ICML 2025 CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong

TMLR 2025 FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen

ECML-PKDD 2025 Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao

ICLR 2025 Graph Neural Networks Are More than Filters: Revisiting and Benchmarking from a Spectral Perspective Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

NeurIPS 2025 Hierarchical Demonstration Order Optimization for Many-Shot In-Context Learning Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, Jundong Li

AAAI 2025 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen

ICML 2025 Towards Global-Level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li

ICLR 2024 Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

NeurIPSW 2024 CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

TMLR 2024 Federated Graph Learning with Graphless Clients Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li

NeurIPSW 2024 On Demonstration Selection for Improving Fairness in Language Models Song Wang, Peng Wang, Yushun Dong, Tong Zhou, Lu Cheng, Yangfeng Ji, Jundong Li

ICML 2024 Towards Certified Unlearning for Deep Neural Networks Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li

AAAI 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

IJCAI 2022 FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li