| Graph embedding via diffusion-wavelets-based node feature distribution characterization L Wang, C Huang, W Ma, X Cao, S Vosoughi Proceedings of the 30th ACM International Conference on Information …, 2021 | 14 | 2021 |
| Provable lifelong learning of representations X Cao, W Liu, S Vempala International Conference on Artificial Intelligence and Statistics, 6334-6356, 2022 | 10 | 2022 |
| Learning dynamic graph embeddings using random walk with temporal backtracking C Huang, L Wang, X Cao, W Ma, S Vosoughi NeurIPS 2022 Temporal Graph Learning Workshop, 2022 | 4 | 2022 |
| StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning S Zhang, W Yang, X Cao, H Zhang, Z Huang arXiv preprint arXiv:2312.04865, 2023 | 1 | 2023 |
| Graph-Level Embedding for Time-Evolving Graphs L Wang, C Huang, X Cao, W Ma, S Vosoughi Companion Proceedings of the ACM Web Conference 2023, 5-8, 2023 | 1 | 2023 |
| Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time X Cao, S Vempala Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay L Pan, X Cao arXiv preprint arXiv:2309.04644, 2023 | | 2023 |
| Learning-Augmented B-Trees X Cao, J Chen, L Chen, C Lambert, R Peng, D Sleator arXiv preprint arXiv:2211.09251, 2022 | | 2022 |
