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2020 – today
- 2024
[c1]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CEC 2024: 1-8- [i4]Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong:
Precise-Physics Driven Text-to-3D Generation. CoRR abs/2403.12438 (2024) - [i3]Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong:
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR abs/2404.01855 (2024) - 2023
- [j2]Han Xiang Choong
, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim:
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18(3): 29-40 (2023) - [i2]Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen:
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR abs/2305.16347 (2023) - [i1]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CoRR abs/2310.19046 (2023)
2010 – 2019
- 2016
- [j1]Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen:
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. Soft Comput. 20(9): 3745-3769 (2016)
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