Predicting temporal propagation of seasonal influenza using improved gaussian process model. - Shanen Chen; Jian Xu; Yongsheng Wu; Xin Wang; Shisong Fang; Jinquan Cheng; Hanwu Ma; Ren-li Zhang; Yachuan Liu; Li Zhang; Xi Zhang 006; Lili Chen; et al. (J. Biomed. Informatics, 2019)

Ranking & Reweighting Improves Group Distributional Robustness. - Yachuan Liu; Bohan Zhang; Qiaozhu Mei; Paramveer Dhillon (CoRR, 2023)

Meta Semantic Template for Evaluation of Large Language Models. - Yachuan Liu; Liang Chen 001; Jindong Wang 001; Qiaozhu Mei; Xing Xie 001 (CoRR, 2023)

Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. - Lan Shi; Marianthie Wank; Yan Chen; Yibo Wang; Yachuan Liu; Emily C. Hector; Peter X. K. Song (IEEE J. Biomed. Health Informatics, 2023)

PM2.5 forecasting under distribution shift: A graph learning approach. - Yachuan Liu; Jiaqi Ma 001; Paramveer Dhillon; Qiaozhu Mei (AI Open, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

Leveraging Group-Level Signals for Robust Many-Domain Generalization. - Bohan Zhang; Yachuan Liu; Qiaozhu Mei; Paramveer S. Dhillon (PAKDD (3), 2025)

Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines. - Yuhang Ge; Yachuan Liu; Yuren Mao; Yunjun Gao (CoRR, 2025)

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models. - Yachuan Liu; Xiaochun Wei; Lin Shi; Xinnuo Li; Bohan Zhang; Paramveer Dhillon; Qiaozhu Mei (CoRR, 2025)