| 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 | 89 | 2022 |
| Imbalanced graph classification via graph-of-graph neural networks Y Wang, Y Zhao, N Shah, T Derr Proceedings of the 31st ACM International Conference on Information …, 2022 | 46 | 2022 |
| Collaboration-aware graph convolutional network for recommender systems Y Wang, Y Zhao, Y Zhang, T Derr Proceedings of the ACM Web Conference 2023, 91-101, 2023 | 42 | 2023 |
| Fairness and explainability: Bridging the gap towards fair model explanations Y Zhao, Y Wang, T Derr Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11363 …, 2023 | 15 | 2023 |
| Fairness and diversity in recommender systems: a survey Y Zhao, Y Wang, Y Liu, X Cheng, CC Aggarwal, T Derr ACM Transactions on Intelligent Systems and Technology, 2023 | 14 | 2023 |
| Collaboration-aware graph convolutional networks for recommendation systems Y Wang, Y Zhao, Y Zhang, T Derr arXiv preprint arXiv:2207.06221, 2022 | 14 | 2022 |
| ADEPT: Autoencoder with differentially expressed genes and imputation for robust spatial transcriptomics clustering Y Hu, Y Zhao, CT Schunk, Y Ma, T Derr, XM Zhou Iscience 26 (6), 2023 | 9 | 2023 |
| A survey on privacy in graph neural networks: Attacks, preservation, and applications Y Zhang, Y Zhao, Z Li, X Cheng, Y Wang, O Kotevska, SY Philip, T Derr IEEE Transactions on Knowledge and Data Engineering, 2024 | 6 | 2024 |
| A topological perspective on demystifying gnn-based link prediction performance Y Wang, T Zhao, Y Zhao, Y Liu, X Cheng, N Shah, T Derr arXiv preprint arXiv:2310.04612, 2023 | 6 | 2023 |
| Maximizing influence over streaming graphs with query sequence Y Zhao, Y Hu, P Yuan, H Jin Data Science and Engineering 6 (3), 339-357, 2021 | 6 | 2021 |
| Grace: An efficient parallel SPARQL query system over large-scale RDF data X Kang, Y Zhao, P Yuan, H Jin 2021 IEEE 24th International Conference on Computer Supported Cooperative …, 2021 | 6 | 2021 |
| Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness Y Zhao, M Xu, H Chen, Y Chen, Y Cai, R Islam, Y Wang, T Derr Proceedings of the ACM on Web Conference 2024, 1237-1248, 2024 | 5 | 2024 |
| Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation Y Zhao, Y Wang, Y Zhang, P Wisniewski, C Aggarwal, T Derr Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22547 …, 2024 | 3 | 2024 |
| Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio Y Zhao, Y Wang, Y Zhang, P Wisniewski, C Aggarwal, T Derr | 3 | 2023 |
| Inferring EHR utilization workflows through audit logs X Zhang, Y Zhao, C Yan, T Derr, Y Chen AMIA Annual Symposium Proceedings 2022, 1247, 2022 | 2 | 2022 |
| SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering X Yang, H Chen, Y Yan, Y Tang, Y Zhao, E Xu, Y Cai, H Tong arXiv preprint arXiv:2406.16170, 2024 | 1 | 2024 |
| Collaboration-Aware Graph Neural Network for Recommender Systems Y Wang, Y Zhao, Y Zhang, T Derr The First Learning on Graphs Conference, 2022 | 1 | 2022 |
| The Friendship Paradox: An Analysis on Signed Social Networks with Positive and Negative Links C Yang, Y Zhao, T Derr | 1 | 2018 |
| PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding L Lin, Y Yu, Z Wang, Z Wang, Y Zhao, J Zhao, T Jia arXiv preprint arXiv:2408.02705, 2024 | | 2024 |
| Edge Classification on Graphs: New Directions in Topological Imbalance X Cheng, Y Wang, Y Zhao, CC Aggarwal, T Derr arXiv preprint arXiv:2406.11685, 2024 | | 2024 |
