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Yushun Dong
27 papers at tracked venues · 22 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0001-7504-6159 ↗
Homepage ↗
Venues
SIGKDD
×6
AAAI
×4
ACL
×3
ICLR
×3
ICML
×3
EMNLP
×2
WWW
×2
ECML-PKDD
×1
ICDM
×1
NeurIPS
×1
WSDM
×1
Frequent coauthors
Jundong Li
×17
Zhenyu Lei
×8
Song Wang
×8
Yaochen Zhu
×6
Chen Chen
×6
Yinhan He
×5
Yue Zhao
×5
Binchi Zhang
×4
Zaiyi Zheng
×4
Patrick Soga
×3
Bolin Shen
×3
Zhen Tan
×3
Papers
Certified Defense on the Fairness of Graph Neural Networks
BibTeX ⧉
SIGKDD 2026
·
Yushun Dong
,
Binchi Zhang
,
Hanghang Tong
,
Jundong Li
MolEdit: Knowledge Editing for Multimodal Molecule Language Models
BibTeX ⧉
WSDM 2026
·
Zhenyu Lei
,
Patrick Soga
,
Yaochen Zhu
,
Yinhan He
,
Yushun Dong
,
Jundong Li
Query-Efficient Domain Knowledge Stealing Against Large Language Models
BibTeX ⧉
AAAI 2026
·
Zhengao Li
,
Xiaopeng Yuan
,
Bolin Shen
,
Kien Le
,
Haohan Wang
,
Xugui Zhou
,
Shangqian Gao
,
Yushun Dong
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
BibTeX ⧉
AAAI 2026
·
Rikuto Kotoge
,
Ziwei Yang
,
Zheng Chen
,
Yushun Dong
,
Yasuko Matsubara
,
Jimeng Sun
,
Yasushi Sakurai
Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
BibTeX ⧉
ACL 2026
·
Jinbo Liu
,
Defu Cao
,
Yifei Wei
,
Tianyao Su
,
Yuan Liang
,
Yushun Dong
,
Yan Liu
,
Yue Zhao
,
Xiyang Hu
A Survey on Model Extraction Attacks and Defenses for Large Language Models
BibTeX ⧉
SIGKDD 2025
·
Kaixiang Zhao
,
Lincan Li
,
Kaize Ding
,
Neil Zhenqiang Gong
,
Yue Zhao
,
Yushun Dong
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
BibTeX ⧉
SIGKDD 2025
·
Zhan Cheng
,
Bolin Shen
,
Tianming Sha
,
Yuan Gao
,
Shibo Li
,
Yushun Dong
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
BibTeX ⧉
AAAI 2025
·
Song Wang
,
Zhenyu Lei
,
Zhen Tan
,
Jiaqi Ding
,
Xinyu Zhao
,
Yushun Dong
,
Guorong Wu
,
Tianlong Chen
,
Chen Chen
,
Aiying Zhang
,
Jundong Li
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
BibTeX ⧉
ICLR 2025
·
Song Wang
,
Peng Wang
,
Tong Zhou
,
Yushun Dong
,
Zhen Tan
,
Jundong Li
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
BibTeX ⧉
ICML 2025
·
Zebin Wang
,
Menghan Lin
,
Bolin Shen
,
Ken Anderson
,
Molei Liu
,
Tianxi Cai
,
Yushun Dong
Fairness-Aware Graph Learning: A Benchmark
BibTeX ⧉
SIGKDD 2025
·
Yushun Dong
,
Song Wang
,
Zhenyu Lei
,
Zaiyi Zheng
,
Jing Ma
,
Chen Chen
,
Jundong Li
Few-Shot Graph Out-of-Distribution Detection with LLMs
BibTeX ⧉
ECML-PKDD 2025
·
Haoyan Xu
,
Zhengtao Yao
,
Yushun Dong
,
Ziyi Wang
,
Ryan A. Rossi
,
Mengyuan Li
,
Yue Zhao
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
BibTeX ⧉
ICLR 2025
·
Yushun Dong
,
Patrick Soga
,
Yinhan He
,
Song Wang
,
Jundong Li
Harnessing Large Language Models for Disaster Management: A Survey
BibTeX ⧉
ACL 2025
·
Zhenyu Lei
,
Yushun Dong
,
Weiyu Li
,
Rong Ding
,
Qi R. Wang
,
Jundong Li
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
BibTeX ⧉
NeurIPS 2025
·
Yinhan He
,
Wendy Zheng
,
Song Wang
,
Zaiyi Zheng
,
Yushun Dong
,
Yaochen Zhu
,
Jundong Li
Learning from Diverse Reasoning Paths with Routing and Collaboration
BibTeX ⧉
EMNLP 2025
·
Zhenyu Lei
,
Zhen Tan
,
Song Wang
,
Yaochen Zhu
,
Zihan Chen
,
Yushun Dong
,
Jundong Li
Navigating Between Explainability and Extractability in Machine Learning as a Service
BibTeX ⧉
ICDM 2025
·
Ojas Nimase
,
Yue Zhao
,
Yushun Dong
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
BibTeX ⧉
WWW 2025
·
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
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
BibTeX ⧉
AAAI 2025
·
Zhenyu Lei
,
Yushun Dong
,
Jundong Li
,
Chen Chen
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
BibTeX ⧉
ICML 2025
·
Yinhan He
,
Wendy Zheng
,
Yushun Dong
,
Yaochen Zhu
,
Chen Chen
,
Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks
BibTeX ⧉
ICLR 2024
·
Binchi Zhang
,
Yushun Dong
,
Chen Chen
,
Yada Zhu
,
Minnan Luo
,
Jundong Li
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
BibTeX ⧉
EMNLP 2024
·
Yinhan He
,
Zaiyi Zheng
,
Patrick Soga
,
Yaochen Zhu
,
Yushun Dong
,
Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
BibTeX ⧉
SIGKDD 2024
·
Yushun Dong
,
Binchi Zhang
,
Zhenyu Lei
,
Na Zou
,
Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection
BibTeX ⧉
ACL 2024
·
Haochen Liu
,
Song Wang
,
Yaochen Zhu
,
Yushun Dong
,
Jundong Li
PyGDebias: A Python Library for Debiasing in Graph Learning
BibTeX ⧉
WWW 2024
·
Yushun Dong
,
Zhenyu Lei
,
Zaiyi Zheng
,
Song Wang
,
Jing Ma
,
Alex Jing Huang
,
Chen Chen
,
Jundong Li
Rethinking Fair Graph Neural Networks from Re-balancing
BibTeX ⧉
SIGKDD 2024
·
Zhixun Li
,
Yushun Dong
,
Qiang Liu
,
Jeffrey Xu Yu
Towards Certified Unlearning for Deep Neural Networks
BibTeX ⧉
ICML 2024
·
Binchi Zhang
,
Yushun Dong
,
Tianhao Wang
,
Jundong Li