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Yushun Dong

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

45

Venues

15

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

45 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITargeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation.Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2026AAAIQuery-Efficient Domain Knowledge Stealing Against Large Language Models.Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong
2026ACLTopology Matters: Measuring Memory Leakage in Multi-Agent LLMs.Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yan Liu, Yue Zhao, Xiyang Hu
2026KDDCertified Defense on the Fairness of Graph Neural Networks.Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2026WSDMMolEdit: Knowledge Editing for Multimodal Molecule Language Models.Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2025AAAIST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2025AAAIBrainMAP: 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
2025ACLHarnessing Large Language Models for Disaster Management: A Survey.Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi R. Wang, Jundong Li
2025EMNLPLearning from Diverse Reasoning Paths with Routing and Collaboration.Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025ICDMNavigating Between Explainability and Extractability in Machine Learning as a Service.Ojas Nimase, Yue Zhao, Yushun Dong
2025ICLRGraph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025ICLRCEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2025ICMLTowards 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
2025ICMLCEGA: 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
2025IJCNLPLLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective.Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong
2025KDDATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks.Zhan Cheng, Bolin Shen, Tianming Sha, Yuan Gao, Shibo Li, Yushun Dong
2025KDDFairness-Aware Graph Learning: A Benchmark.Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025KDDA Survey on Model Extraction Attacks and Defenses for Large Language Models.Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025WWWPyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao
2024ACLKnowledge Graph-Enhanced Large Language Models via Path Selection.Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024EMNLPExplaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024ICLRAdversarial Attacks on Fairness of Graph Neural Networks.Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024ICMLTowards Certified Unlearning for Deep Neural Networks.Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2024KDDIDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024KDDRethinking Fair Graph Neural Networks from Re-balancing.Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
2024PAKDDSD-Attack: Targeted Spectral Attacks on Graphs.Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024WWWPyGDebias: A Python Library for Debiasing in Graph Learning.Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2023AAAIInterpreting Unfairness in Graph Neural Networks via Training Node Attribution.Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023CIKMGiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023KDDFairness in Graph Machine Learning: Recent Advances and Future Prospectives.Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023KDDEmpower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023SIGIRWhen Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?Yushun Dong, Jundong Li, Tobias Schnabel
2023WSDMFew-shot Node Classification with Extremely Weak Supervision.Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023SDMRELIANT: Fair Knowledge Distillation for Graph Neural Networks.Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2022IJCAIFAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022KDDOn Structural Explanation of Bias in Graph Neural Networks.Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022KDDGUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
2022KDDImproving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022PAKDDContrastive Attributed Network Anomaly Detection with Data Augmentation.Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022WWWEDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022WWWAssessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2022SIGIREmpowering Next POI Recommendation with Multi-Relational Modeling.Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2021CIKMAdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021KDDIndividual Fairness for Graph Neural Networks: A Ranking based Approach.Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2019CIKMForecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model.Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du