Theo dõi
Yushun Dong
Yushun Dong
Assistant Professor, Department of Computer Science, Florida State University
Email được xác minh tại fsu.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1432022
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
1402023
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
1322021
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
972022
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
902022
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
802022
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
742021
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
342022
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
322023
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
292019
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
272022
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
262023
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
252023
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
242022
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
212023
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
152024
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
142024
Towards certified unlearning for deep neural networks
B Zhang, Y Dong, T Wang, J Li
arXiv preprint arXiv:2408.00920, 2024
112024
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