SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. - Haobo Wang 001; Mingxuan Xia; Yixuan Li 001; Yuren Mao; Lei Feng 006; Gang Chen 001; Junbo Zhao 002 (NeurIPS, 2022)

Partial label learning with noisy side information. - Shaokai Wang; Mingxuan Xia; Zilong Wang; Gengyu Lyu; Songhe Feng (Appl. Intell., 2022)

Incipient Fault Diagnosis for High-Speed Train Traction Systems via Stacked Generalization. - Zehui Mao; Mingxuan Xia; Bin Jiang 001; Dezhi Xu; Peng Shi 001 (IEEE Trans. Cybern., 2022)

Textual tag recommendation with multi-tag topical attention. - Pengyu Xu; Mingxuan Xia; Lin Xiao; Huafeng Liu 001; Bing Liu; Liping Jing; Jian Yu 001 (Neurocomputing, 2023)

Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Yuxuan Hu; Fan Wu; Mingxuan Xia; Xinyi Zhang; Lixia Wu; Haoyuan Hu; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

A Separation and Alignment Framework for Black-Box Domain Adaptation. - Mingxuan Xia; Junbo Zhao 002; Gengyu Lyu; Zenan Huang; Tianlei Hu; Gang Chen 001; Haobo Wang 001 (AAAI, 2024)

Unbiased Multi-Label Learning from Crowdsourced Annotations. - Mingxuan Xia; Zenan Huang; Runze Wu 001; Gengyu Lyu; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (ICML, 2024)

Revisiting the Robust Generalization of Adversarial Prompt Tuning. - Fan Yang; Mingxuan Xia; Sangzhou Xia; Chicheng Ma; Hui Hui (CoRR, 2024)

Multi-Instance Multi-Label Classification from Crowdsourced Labels. - Ziquan Wang; Mingxuan Xia; Xiangyu Ren; Jiaqing Zhou; Gengyu Lyu; Tianlei Hu; Haobo Wang (AAAI, 2025)

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation. - Mingxuan Xia; Haobo Wang; Yixuan Li; Zewei Yu; Jindong Wang; Junbo Zhao; Runze Wu (ACL (1), 2025)

Towards Robust Incremental Learning under Ambiguous Supervision. - Rui Wang 076; Mingxuan Xia; Chang Yao; Lei Feng 006; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (CoRR, 2025)