Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. - Chi-Hsien Chang; Tu-Chin Chiang; Tzu-Hao Hsu; Ting-Shuo Chuang; Wen Zhong Fang; Tian-Li Yu 001 (GECCO Companion, 2023)

GP with Ranging-Binding Technique for Symbolic Regression. - Wen Zhong Fang; Chi-Hsien Chang; Jung-Chun Liu; Tian-Li Yu 001 (GECCO Companion, 2023)

Secure Medical Data Management Based on Homomorphic Encryption and Secret Sharing. - Po Ying Law; Chia-Cheng Tsai; Tsz Wun Fok; Ching-Ting Wang; Chi-Hsien Chang; Tsung-Yu Chin; Yi-Chen Liao; Jen-Kuang Lee; Chung-Wei Lin (SmartCloud, 2023)

A Novel Symbolic Regressor Enhancer Using Genetic Programming. - Tu-Chin Chiang; Chi-Hsien Chang; Tian-Li Yu 001 (CEC, 2024)

Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. - Tzu-Hao Hsu; Chi-Hsien Chang; Tian-Li Yu 001 (CEC, 2024)

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. - Jung-Chun Liu; Chi-Hsien Chang; Shao-Hua Sun; Tian-Li Yu 001 (ICLR, 2024)

The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition. - Tian-Li Yu; Chi-Hsien Chang; Ying-ping Chen (CoRR, 2025)