| Structural re-weighting improves graph domain adaptation S Liu, T Li, Y Feng, N Tran, H Zhao, Q Qiu, P Li International conference on machine learning, 21778-21793, 2023 | 66 | 2023 |
| Semi-supervised graph neural networks for pileup noise removal T Li, S Liu, Y Feng, G Paspalaki, NV Tran, M Liu, P Li The European Physical Journal C 83 (1), 99, 2023 | 17 | 2023 |
| Cumulative difference learning vae for time-series with temporally correlated inflow-outflow T Li, C Wu, P Shi, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13619 …, 2024 | 11 | 2024 |
| Semi-supervised graph neural network for particle-level noise removal T Li, S Liu, Y Feng, N Tran, M Liu, P Li NeurIPS 2021 AI for Science Workshop, 2021 | 4 | 2021 |
| Towards Universal Debiasing for Language Models-based Tabular Data Generation T Li, T Liu, X Wang, R Wei, P Li, L Su, J Gao EMNLP 2025 Findings, 2025 | | 2025 |
| Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking X Wang, F Wu, C Miao, T Li, H Hu, Q Cao, J Gao, L Su arXiv preprint arXiv:2509.14603, 2025 | | 2025 |
| Dynamic Redeployment of Nurses Across Hospitals: A Sample Robust Optimization Approach W Liu, T Li, M Lu, P Shi arXiv preprint arXiv:2509.07387, 2025 | | 2025 |
