Yushun Dong

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Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
Song WangPh.D. Student, University of VirginiaVerified email at virginia.edu
Jing MaCase Western Reserve UniversityVerified email at case.edu
Ninghao LiuAssistant Professor, University of GeorgiaVerified email at uga.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Yu WangDepartment of Computer Science, University of OregonVerified email at uoregon.edu
Tyler DerrVanderbilt UniversityVerified email at vanderbilt.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityVerified email at northwestern.edu
Yue ZhaoAssistant Professor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Jian KangUniversity of RochesterVerified email at cs.rochester.edu
Na ZouAssistant Professor, University of HoustonVerified email at uh.edu
Huiyuan ChenVisa ResearchVerified email at case.edu
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
Tianlong ChenAssistant Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinVerified email at cs.unc.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Furong HuangAssociate Professor of Computer Science, University of MarylandVerified email at umd.edu
Lawrence RothenbergCorrigan-Minehan Professor of Political Science, University of RochesterVerified email at mail.rochester.edu
Xiangliang ZhangLeonard C. Bettex Collegiate Professor, Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Lichao "James" SunAssistant Professor of Computer Science, Lehigh UniversityVerified email at lehigh.edu
Yan LiuProfessor, Director of Machine Learning Center@USCVerified email at usc.edu

Yushun Dong

Assistant Professor, Department of Computer Science, Florida State University

Verified email at fsu.edu - Homepage

AI Machine Learning Bias and fairness Data Mining Graph Mining


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Edits: Modeling and mitigating data bias for graph neural networks Y Dong, N Liu, B Jalaian, J Li Proceedings of the ACM web conference 2022, 1259-1269, 2022	142	2022
Individual fairness for graph neural networks: A ranking based approach Y Dong, J Kang, H Tong, J Li Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	136	2021
Fairness in graph mining: A survey Y Dong, J Ma, S Wang, C Chen, J Li IEEE Transactions on Knowledge and Data Engineering 35 (10), 10583-10602, 2023	135	2023
Improving fairness in graph neural networks via mitigating sensitive attribute leakage Y Wang, Y Zhao, Y Dong, H Chen, J Li, T Derr Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022	97	2022
Contrastive attributed network anomaly detection with data augmentation Z Xu, X Huang, Y Zhao, Y Dong, J Li Pacific-Asia conference on knowledge discovery and data mining, 444-457, 2022	80	2022
Federated graph machine learning: A survey of concepts, techniques, and applications X Fu, B Zhang, Y Dong, C Chen, J Li ACM SIGKDD Explorations Newsletter 24 (2), 32-47, 2022	73	2022
Adagnn: Graph neural networks with adaptive frequency response filter Y Dong, K Ding, B Jalaian, S Ji, J Li Proceedings of the 30th ACM international conference on information …, 2021	72	2021
Guide: Group equality informed individual fairness in graph neural networks W Song, Y Dong, N Liu, J Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	39	2022
On structural explanation of bias in graph neural networks Y Dong, S Wang, Y Wang, T Derr, J Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	35	2022
Assessing the causal impact of COVID-19 related policies on outbreak dynamics: A case study in the US J Ma, Y Dong, Z Huang, D Mietchen, J Li Proceedings of the ACM Web Conference 2022, 2678-2686, 2022	33	2022
Interpreting unfairness in graph neural networks via training node attribution Y Dong, S Wang, J Ma, N Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7441-7449, 2023	31	2023
Forecasting pavement performance with a feature fusion LSTM-BPNN model Y Dong, Y Shao, X Li, S Li, L Quan, W Zhang, J Du Proceedings of the 28th ACM international conference on information and …, 2019	30	2019
Reliant: Fair knowledge distillation for graph neural networks Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023	26	2023
Empowering next POI recommendation with multi-relational modeling Z Huang, J Ma, Y Dong, NZ Foutz, J Li Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022	25	2022
Faith: Few-shot graph classification with hierarchical task graphs S Wang, Y Dong, X Huang, C Chen, J Li arXiv preprint arXiv:2205.02435, 2022	24	2022
Gigamae: Generalizable graph masked autoencoder via collaborative latent space reconstruction Y Shi, Y Dong, Q Tan, J Li, N Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023	21	2023
Few-shot node classification with extremely weak supervision S Wang, Y Dong, K Ding, C Chen, J Li Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023	18	2023
Adversarial attacks on fairness of graph neural networks B Zhang, Y Dong, C Chen, Y Zhu, M Luo, J Li arXiv preprint arXiv:2310.13822, 2023	11	2023
Knowledge Graph-Enhanced Large Language Models via Path Selection H Liu, S Wang, Y Zhu, Y Dong, J Li arXiv preprint arXiv:2406.13862, 2024	10	2024
Safety in Graph Machine Learning: Threats and Safeguards S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ... arXiv preprint arXiv:2405.11034, 2024	9	2024

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