Neural Network-Assisted Simulation Optimization with Covariates. - Haoting Zhang; Jinghai He; Donglin Zhan; Zeyu Zheng (WSC, 2021)

4Doodle: 4D Printing Artifacts Without 3D Printers. - Ye Tao 001; Shuhong Wang; Junzhe Ji; Linlin Cai; Hongmei Xia; Zhiqi Wang; Jinghai He; Yitao Fan; Shengzhang Pan; Jinghua Xu; Cheng Yang 014; Lingyun Sun; et al. (CHI, 2023)

Effectively Learning Moiré QR Code Decryption from Simulated Data. - Yu Lu; Hao Pan 003; Feitong Tan; Yi-Chao Chen 001; Jiadi Yu; Jinghai He; Guangtao Xue (INFOCOM, 2023)

2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. - Chu Wang; Yingfei Wang; Haipeng Luo; Daniel R. Jiang; Jinghai He; Zeyu Zheng (KDD, 2023)

Contextual Gaussian Process Bandits with Neural Networks. - Haoting Zhang; Jinghai He; Rhonda Righter; Zuo-Jun Max Shen; Zeyu Zheng (NeurIPS, 2023)

Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data. - Haoting Zhang; Donglin Zhan; Yunduan Lin; Jinghai He; Qing Zhu; Zuo-Jun Max Shen; Zeyu Zheng (CHIL, 2024)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. - Donglin Zhan; Yusheng Dai; Yiwei Dong; Jinghai He; Zhenyi Wang 001; James Anderson 001 (SDM, 2024)

A Preliminary Study on Accelerating Simulation Optimization With GPU Implementation. - Jinghai He; Haoyu Liu; Yuhang Wu 011; Zeyu Zheng; Tingyu Zhu (WSC, 2024)

Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data. - Haoting Zhang; Jinghai He; Jingxu Xu; Jingshen Wang; Zeyu Zheng (WSC, 2024)

Language Model Prompt Selection via Simulation Optimization. - Haoting Zhang; Jinghai He; Rhonda Righter; Zeyu Zheng (CoRR, 2024)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. - Jinghai He; Cheng Hua; Yingfei Wang; Zeyu Zheng (CoRR, 2024)

Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information. - Jinghai He; Cheng Hua; Chunyang Zhou; Zeyu Zheng (CoRR, 2025)