Risk Bounds and Calibration for a Smart Predict-then-Optimize Method. - Heyuan Liu; Paul Grigas (NeurIPS, 2021)

Online Contextual Decision-Making with a Smart Predict-then-Optimize Method. - Heyuan Liu; Paul Grigas (CoRR, 2022)

Active Learning in the Predict-then-Optimize Framework: A Margin-Based Approach. - Mo Liu 007; Paul Grigas; Heyuan Liu; Zuo-Jun Max Shen (CoRR, 2023)

Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. - Yizhen Li; Zhongzhi Luan; Yixing Liu; Heyuan Liu; Jiaxing Qi; Dongran Han (Frontiers Artif. Intell., 2024)

Image Segmentation Method Combining Nonlocal Criteria With Graph Cut Theory. - Guilin Yao; Heyuan Liu; Dongliang Zhang (IEEE Access, 2025)

New Methods for Parametric Optimization via Differential Equations. - Heyuan Liu; Paul Grigas (SIAM J. Optim., 2025)

UAVScenes: A Multi-Modal Dataset for UAVs. - Sijie Wang; Siqi Li; Yawei Zhang; Shangshu Yu; Shenghai Yuan; Rui She 001; Quanjiang Guo; Jinxuan Zheng; Ong Kang Howe; Leonrich Chandra; Shrivarshann Srijeyan; Aditya Sivadas; et al. (CoRR, 2025)