| Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization. Z Xie, M Li The Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018 | 35 | 2018 |
| Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation XY Li, JT Xue, Z Xie, M Li arXiv preprint arXiv:2305.10679, 2023 | 30 | 2023 |
| Semi-Supervised AUC Optimization without Guessing Labels of Unlabeled Data Z Xie, M Li Thirty-Second AAAI Conference on Artificial Intelligence, 4310-4317, 2018 | 23 | 2018 |
| Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Z Xie, Y Liu, HY He, M Li, ZH Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 5 | 2024 |
| Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation Y Du, YF Ma, Z Xie, M Li 2023 IEEE International Conference on Data Mining (ICDM), 91-100, 2023 | 2 | 2023 |
| Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation H Sun, Z Xie, XY Li, M Li Thirty-Seventh AAAI Conference on Artificial Intelligence, 9909-9917, 2023 | 2 | 2023 |
| Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space Y Liu, Q Jia, S Shi, C Wu, Z Du, Z Xie, R Tang, M Zhang, M Li Proceedings of the 18th ACM Conference on Recommender Systems, 360-369, 2024 | 1 | 2024 |
| AUC Optimization from Multiple Unlabeled Datasets Z Xie, Y Liu, M Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16058 …, 2024 | 1 | 2024 |
| Semi-supervised Learning with Support Isolation by Small-Paced Self-Training Z Xie, H Sun, M Li Thirty-Seventh AAAI Conference on Artificial Intelligence, 10510-10518, 2023 | 1 | 2023 |
| Music Style Analysis among Haydn, Mozart and Beethoven: an Unsupervised Machine Learning Approach R Wen, Z Xie, K Chen, R Guo, K Xu, W Huang, J Tian, J Wu Popular Music 1, 8, 2016 | 1 | 2016 |
| Ambiguity-Aware Abductive Learning HY He, H Sun, Z Xie, M Li Forty-first International Conference on Machine Learning, 0 | | |
| Probabilistic Instance Dependent Label Refinement for Noisy Label Learning HY He, Y Liu, RB Liu, Z Xie, M Li | | |
