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Yushun Dong
Yushun Dong
Assistant Professor, Department of Computer Science, Florida State University
Adresă de e-mail confirmată pe fsu.edu - Pagina de pornire
Titlu
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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
1382022
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
1352021
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
1312023
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
952022
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
762022
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
702021
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
692022
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
382022
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
352022
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
322022
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
312023
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
272019
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
262023
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
252022
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
232022
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
212023
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
152023
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
92023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Y Dong, J Li, T Schnabel
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
72023
Ceb: Compositional evaluation benchmark for fairness in large language models
S Wang, P Wang, T Zhou, Y Dong, Z Tan, J Li
arXiv preprint arXiv:2407.02408, 2024
62024
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