Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. - Liang Feng 001; Yew-Soon Ong; Caishun Chen; Xianshun Chen (Soft Comput., 2016)

Prompt Evolution for Generative AI: A Classifier-Guided Approach. - Melvin Wong; Yew-Soon Ong; Abhishek Gupta 001; Kavitesh Kumar Bali; Caishun Chen (CoRR, 2023)

Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. - Han Xiang Choong; Yew-Soon Ong; Abhishek Gupta 001; Caishun Chen; Ray Lim (IEEE Comput. Intell. Mag., 2023)

Large Language Models as Evolutionary Optimizers. - Shengcai Liu; Caishun Chen; Xinghua Qu; Ke Tang 001; Yew-Soon Ong (CEC, 2024)

Precise-Physics Driven Text-to-3D Generation. - Qingshan Xu 001; Jiao Liu; Melvin Wong; Caishun Chen; Yew-Soon Ong (CoRR, 2024)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. - Shanshan Feng 001; Haoming Lyu; Caishun Chen; Yew-Soon Ong (CoRR, 2024)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. - Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He 001; Hongning Wang; Yew-Soon Ong; Minlie Huang (CoRR, 2025)