Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM. - Xin Guan; Shufang Xie 004; Fengyuan Liu; Haibo Zhao; Zhongyuan Liang (BIC, 2021)

Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress. - Mohi Reza; Angela M. Zavaleta Bernuy; Emmy Liu; Tong Li; Zhongyuan Liang; Calista K. Barber; Joseph Jay Williams (CHI, 2023)

A Learning Based Hypothesis Test for Harmful Covariate Shift. - Tom Ginsberg; Zhongyuan Liang; Rahul G. Krishnan (ICLR, 2023)

An adaptive balance optimization algorithm and its engineering application. - Chao Zhang; Mei Liu; Peisi Zhong; Qingjun Song; Zhongyuan Liang; Zhenyu Zhang; Xiao Wang (Adv. Eng. Informatics, 2023)

Application research of a new neighbourhood structure with adaptive genetic algorithm for job shop scheduling problem. - Zhongyuan Liang; Mei Liu; Peisi Zhong; Chao Zhang (Int. J. Prod. Res., 2023)

A generic enhanced search framework based on genetic algorithm: Case study on job shop scheduling problem. - Zhongyuan Liang; Peisi Zhong; Mei Liu; Chao Zhang (J. Intell. Fuzzy Syst., 2023)

Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication. - Zhongyuan Liang; Arvind Suresh; Irene Y. Chen (CHIL, 2025)

Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory. - Xiao Wang 051; Zhongyuan Liang; Peisi Zhong; Dongmin Li; Hongqi Li; Mei Liu (IEEE Access, 2025)

Local MDI+: Local Feature Importances for Tree-Based Models. - Zhongyuan Liang; Zachary T. Rewolinski; Abhineet Agarwal; Tiffany M. Tang; Bin Yu 001 (CoRR, 2025)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects. - Zhongyuan Liang; Lars van der Laan; Ahmed Alaa (CoRR, 2025)