Music Style Analysis among Haydn, Mozart, and Beethoven: an Unsupervised Machine Learning Approach. - Ru Wen; Zheng Xie 001; Kai Chen; Ruoxuan Guo; Kuan Xu; Wenmin Huang; Jiyuan Tian; Jiang Wu (ICMC, 2017)

Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data. - Zheng Xie 001; Ming Li 005 (AAAI, 2018)

Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization. - Zheng Xie 001; Ming Li 005 (IJCAI, 2018)

Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation. - Hui Sun 003; Zheng Xie 001; Xin-Ye Li; Ming Li 005 (AAAI, 2023)

Semi-supervised Learning with Support Isolation by Small-Paced Self-Training. - Zheng Xie 001; Hui Sun 003; Ming Li 005 (AAAI, 2023)

Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation. - Yali Du 002; Yi-Fan Ma; Zheng Xie 001; Ming Li 005 (ICDM, 2023)

Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation. - Xin-Ye Li; Jiang-Tian Xue; Zheng Xie 001; Ming Li 005 (CoRR, 2023)

AUC Optimization from Multiple Unlabeled Datasets. - Zheng Xie 001; Yu Liu 083; Ming Li 005 (AAAI, 2024)

Ambiguity-Aware Abductive Learning. - Hao-Yuan He 001; Hui Sun 003; Zheng Xie 001; Ming Li 005 (ICML, 2024)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. - Yu Liu 083; Qinglin Jia; Shuting Shi; Chuhan Wu; Zhaocheng Du; Zheng Xie 001; Ruiming Tang; Muyu Zhang; Ming Li 005 (RecSys, 2024)

Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. - Zheng Xie 001; Yu Liu 083; Hao-Yuan He 001; Ming Li 005; Zhi-Hua Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Probabilistic instance dependent label refinement for noisy label learning. - Hao-Yuan He 001; Yu Liu 083; Renbiao Liu; Zheng Xie 001; Ming Li 005 (Mach. Learn., 2025)