Caishun Chen

According to our database, Caishun Chen authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Hongning Wang, Yew-Soon Ong, Minlie Huang

CoRR, May, 2025

2024

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation.

Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong

CoRR, 2024

Precise-Physics Driven Text-to-3D Generation.

Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong

CoRR, 2024

Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models.

Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation.

Shanshan Feng, Haoming Lyu, Fan Li, Zhu Sun, Caishun Chen

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Large Language Models as Evolutionary Optimizers.

Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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, Caishun Chen, Ray Lim

IEEE Comput. Intell. Mag., August, 2023

Prompt Evolution for Generative AI: A Classifier-Guided Approach.

Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

2016

Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.

Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen

Soft Comput., 2016