4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. - Yanchao Tan; Chengjun Kong; Leisheng Yu; Pan Li 005; Chaochao Chen 001; Xiaolin Zheng; Vicki Hertzberg; Carl Yang 001 (KDD, 2022)

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. - Yanchao Tan; Zihao Zhou; Leisheng Yu; Weiming Liu 005; Chaochao Chen 001; Guofang Ma; Xiao Hu 002; Vicki Stover Hertzberg; Carl Yang 001 (ICDM, 2023)

Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. - Yicheng Wang; Xiaotian Han; Leisheng Yu; Na Zou 001 (CoRR, 2023)

Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach. - Leisheng Yu; Yanxiao Cai; Lucas Chen; Minxing Zhang; Wei-Yen Day; Li Li; Rui Chen; Soo-Hyun Choi; Xia Hu (ICDM, 2024)

Understanding Different Design Choices in Training Large Time Series Models. - Yu-Neng Chuang; Songchen Li; Jiayi Yuan 001; Guanchu Wang; Kwei-Herng Lai; Leisheng Yu; Sirui Ding; Chia-Yuan Chang 002; Qiaoyu Tan; Daochen Zha; Xia Hu 001 (CoRR, 2024)

Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction. - Leisheng Yu; Yanxiao Cai; Minxing Zhang; Xia Hu (CHIL, 2025)

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. - Yu-Neng Chuang; Leisheng Yu; Guanchu Wang; Lizhe Zhang; Zirui Liu 001; Xuanting Cai; Yang Sui; Vladimir Braverman; Xia Ben Hu (CoRR, 2025)