| YAGG: Ce transparent ceramics with high luminous efficiency for solid-state lighting application H Hua, S Feng, Z Ouyang, H Shao, H Qin, H Ding, Q Du, Z Zhang, J Jiang, ... Journal of Advanced Ceramics 8, 389-398, 2019 | 73 | 2019 |
| Disentangled dynamic heterogeneous graph learning for opioid overdose prediction Q Wen, Z Ouyang, J Zhang, Y Qian, Y Ye, C Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 10 | 2022 |
| Graph contrastive learning with cross-view reconstruction Q Wen, Z Ouyang, C Zhang, Y Qian, Y Ye, C Zhang arXiv preprint arXiv:2209.07699, 2022 | 5 | 2022 |
| Adversarial cross-view disentangled graph contrastive learning Q Wen, Z Ouyang, C Zhang, Y Qian, Y Ye, C Zhang arXiv, 2022 | 5 | 2022 |
| Diving into unified data-model sparsity for class-imbalanced graph representation learning C Zhang, C Huang, Y Tian, Q Wen, Z Ouyang, Y Li, Y Ye, C Zhang arXiv preprint arXiv:2210.00162, 2022 | 4 | 2022 |
| When sparsity meets contrastive models: less graph data can bring better class-balanced representations C Zhang, C Huang, Y Tian, Q Wen, Z Ouyang, Y Li, Y Ye, C Zhang International Conference on Machine Learning, 41133-41150, 2023 | 3 | 2023 |
| Prompt Learning Unlocked for App Promotion in the Wild Z Ouyang, S Hou, S Ma, C Chen, C Zhang, T Li, X Xiao, C Zhang, Y Ye NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 1 | 2023 |
| Graph Representation Learning with Multi-granular Semantic Ensemble Q Wen, M Ju, Z Ouyang, C Zhang, Y Ye | 1 | 2023 |
| How to Improve Representation Alignment and Uniformity in Graph-based Collaborative Filtering? Z Ouyang, C Zhang, S Hou, C Zhang, Y Ye | | 2024 |
| A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations Z Ouyang, S Hou, C Zhang, C Zhang, Y Ye ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | | 2023 |
| Contrastive Graph Representation Learning with Cross-view Reconstruction Q Wen, Z Ouyang, C Zhang, Y Qian, Y Ye, C Zhang | | 2022 |
| Unifying Data-Model Sparsity for Class-Imbalanced Graph Representation Learning C Zhang, Y Tian, Q Wen, Z Ouyang, Y Ye, C Zhang | | |
