Yushun Dong - RankMe

119 papers A* 25A 6B 2Journal 69Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation. CoRR Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026	J	`jnl`	CITED: A Decision Boundary-Aware Signature for GNNs Towards Model Extraction Defense. CoRR Bolin Shen, Md Shamim Seraj, Zhan Cheng, Shayok Chakraborty, Yushun Dong
2026	J	`jnl`	CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks. CoRR Bolin Shen, Zhan Cheng, Neil Zhenqiang Gong, Fan Yao, Yushun Dong
2026	—	`conf`	Certified Defense on the Fairness of Graph Neural Networks. KDD (1) Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2026	A	`conf`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. WSDM Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026	A*	`conf`	Query-Efficient Domain Knowledge Stealing Against Large Language Models. AAAI Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong
2026	J	`jnl`	RULERS: Locked Rubrics and Evidence-Anchored Scoring for Robust LLM Evaluation. CoRR Yihan Hong, Huaiyuan Yao, Bolin Shen, Wanpeng Xu, Hua Wei, Yushun Dong
2026	J	`jnl`	Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping. CoRR Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2026	J	`jnl`	TIFO: Time-Invariant Frequency Operator for Stationarity-Aware Representation Learning in Time Series. CoRR Xihao Piao, Zheng Chen, Lingwei Zhu, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai
2026	A*	`conf`	Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation. AAAI Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2025	J	`jnl`	A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	—	`conf`	A Survey on Model Extraction Attacks and Defenses for Large Language Models. KDD (2) Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	J	`jnl`	A Survey on Model Extraction Attacks and Defenses for Large Language Models. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	J	`jnl`	A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li
2025	J	`jnl`	A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	—	`conf`	ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks. KDD (2) Zhan Cheng, Bolin Shen, Tianming Sha, Yuan Gao, Shibo Li, Yushun Dong
2025	J	`jnl`	ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks. CoRR Zhan Cheng, Bolin Shen, Tianming Sha, Yuan Gao, Shibo Li, Yushun Dong
2025	A*	`conf`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025	A*	`conf`	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. ICLR Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2025	A*	`conf`	CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition. ICML Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong
2025	J	`jnl`	CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition. CoRR Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong
2025	J	`jnl`	DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning. CoRR Kaixiang Zhao, Joseph Yousry Attalla, Qian Lou, Yushun Dong
2025	J	`jnl`	ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases. CoRR Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2025	—	`conf`	Fairness-Aware Graph Learning: A Benchmark. KDD (2) Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. CoRR Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. Trans. Mach. Learn. Res. Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	—	`conf`	Few-Shot Graph Out-of-Distribution Detection with LLMs. ECML/PKDD (4) Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025	J	`jnl`	Few-Shot Graph Out-of-Distribution Detection with LLMs. CoRR Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025	J	`jnl`	GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
2025	J	`jnl`	Generative AI in Transportation Planning: A Survey. CoRR Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei
2025	A*	`conf`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025	—	`conf`	Harnessing Large Language Models for Disaster Management: A Survey. ACL (Findings) Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi R. Wang, Jundong Li
2025	J	`jnl`	Harnessing Large Language Models for Disaster Management: A Survey. CoRR Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi Wang, Jundong Li
2025	J	`jnl`	Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses. CoRR Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong
2025	J	`jnl`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. CoRR Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2025	—	`conf`	LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. IJCNLP-AACL (Findings) 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
2025	A*	`conf`	Learning from Diverse Reasoning Paths with Routing and Collaboration. EMNLP Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	J	`jnl`	Learning from Diverse Reasoning Paths with Routing and Collaboration. CoRR Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	J	`jnl`	Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses. CoRR Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025	J	`jnl`	MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models. CoRR Xueqi Cheng, Minxing Zheng, Shixiang Zhu, Yushun Dong
2025	J	`jnl`	Measuring Computational Universality of Fully Homomorphic Encryption. CoRR Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou
2025	J	`jnl`	MolEdit: Knowledge Editing for Multimodal Molecule Language Models. CoRR Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2025	—	`conf`	Navigating Between Explainability and Extractability in Machine Learning as a Service. ICDM (Workshops) Ojas Nimase, Yue Zhao, Yushun Dong
2025	—	`conf`	PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. WWW (Companion Volume) 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
2025	J	`jnl`	Revisiting Multivariate Time Series Forecasting with Missing Values. CoRR Jie Yang, Yifan Hu, Kexin Zhang, Luyang Niu, Yushun Dong, Philip S. Yu, Kaize Ding
2025	J	`jnl`	SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All? J. Data-centric Mach. Learn. Res. Yushun Dong, William Shiao, Yozen Liu, Jundong Li, Neil Shah, Tong Zhao
2025	A*	`conf`	ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. AAAI Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2025	J	`jnl`	Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs. CoRR Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yue Zhao, Xiyang Hu
2025	A*	`conf`	Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models. ICML Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
2025	J	`jnl`	Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making. CoRR Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang
2025	—	`conf`	TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. SIGSPATIAL/GIS Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025	J	`jnl`	TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting. CoRR Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025	B	`conf`	VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions. IEEE Big Data Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah
2024	J	`jnl`	A Benchmark for Fairness-Aware Graph Learning. CoRR Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2024	A*	`conf`	Adversarial Attacks on Fairness of Graph Neural Networks. ICLR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024	J	`jnl`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024	J	`jnl`	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2024	J	`jnl`	Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction. CoRR Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li
2024	—	`conf`	Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. CoRR Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting. CoRR Xihao Piao, Zheng Chen, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai
2024	J	`jnl`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2024	A*	`conf`	IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024	J	`jnl`	IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024	B	`conf`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. IEEE Big Data Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2024	—	`conf`	Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	—	`conf`	PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024	J	`jnl`	PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. CoRR 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
2024	A*	`conf`	Rethinking Fair Graph Neural Networks from Re-balancing. KDD Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
2024	J	`jnl`	Rethinking Fair Graph Neural Networks from Re-balancing. CoRR Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
2024	—	`conf`	SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024	J	`jnl`	ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. CoRR Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	A*	`conf`	Towards Certified Unlearning for Deep Neural Networks. ICML Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2024	J	`jnl`	Towards Certified Unlearning for Deep Neural Networks. CoRR Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
2023	J	`jnl`	Adversarial Attacks on Fairness of Graph Neural Networks. CoRR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2023	J	`jnl`	ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2023	A*	`conf`	Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
2023	A*	`conf`	Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023	J	`jnl`	Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
2023	A	`conf`	Few-shot Node Classification with Extremely Weak Supervision. WSDM Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	J	`jnl`	Few-shot Node Classification with Extremely Weak Supervision. CoRR Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	A	`conf`	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023	J	`jnl`	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023	A*	`conf`	Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023	A	`conf`	RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023	J	`jnl`	RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023	—	`conf`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	J	`jnl`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	A*	`conf`	When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? SIGIR Yushun Dong, Jundong Li, Tobias Schnabel
2023	J	`jnl`	When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? CoRR Yushun Dong, Jundong Li, Tobias Schnabel
2022	A*	`conf`	Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. WWW Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2022	—	`conf`	Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022	A*	`conf`	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022	A*	`conf`	Empowering Next POI Recommendation with Multi-Relational Modeling. SIGIR Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022	J	`jnl`	Empowering Next POI Recommendation with Multi-Relational Modeling. CoRR Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
2022	A*	`conf`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	J	`jnl`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	J	`jnl`	Fairness in Graph Mining: A Survey. CoRR Yushun Dong, Jing Ma, Chen Chen, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. CoRR Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022	J	`jnl`	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
2022	A*	`conf`	GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks. KDD Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
2022	A*	`conf`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022	J	`jnl`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022	J	`jnl`	Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2022	A*	`conf`	On Structural Explanation of Bias in Graph Neural Networks. KDD Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022	J	`jnl`	On Structural Explanation of Bias in Graph Neural Networks. CoRR Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2021	A	`conf`	AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021	J	`jnl`	Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. CoRR Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
2021	J	`jnl`	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2021	J	`jnl`	Graph Neural Networks with Adaptive Frequency Response Filter. CoRR Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021	A*	`conf`	Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2019	A	`conf`	Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. CIKM Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du
2019	—	`conf`	Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network. IOV Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li