Changyu Chen

I am a Ph.D. candidate in Computer Science at Singapore Management University (SMU), fortunate to be advised by Prof. Pradeep Varakantham and Prof. Arunesh Sinha. Prior to this, I earned my Master's degree in Systems and Project Management from Nanyang Technological University (NTU), and my Bachelor's degree in Civil Engineering from Zhejiang University.

I was fortunate to be a research intern at Sea AI lab (SAIL), mentored by Chao Du and Tianyu Pang, and working closely with Qian Liu and Min Lin.

My research interests lie in the intersection of generative modelling and autonomous decision making, with a current focus on the efficient and robust alignment of large language models.

Email / LinkedIn / Github / Google Scholar

News

Jul, 2024	I am selected for the SMU Presidential Doctoral Fellowship and the SCIS Dean's List.
Jun, 2024	Recent work: Bootstrapping Language Models with DPO Implicit Rewards is accepted by ICML 2024 Workshop on Models of Human Feedback for AI Alignment.
Dec, 2023	I received Singapore Data Science Consortium Dissertation Research Fellowship 2023 from Singapore Data Science Consortium.
Sep, 2023	Recent work: Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning is accepted by NeurIPS 2023.
Aug, 2023	I joined Sea AI lab (SAIL) as a research intern and my research is related to alignment of large language models.
Dec, 2021	Recent work: Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models is accepted by AAAI 2022.
Mar, 2021	I received Academic Excellence Award 2021 from NTU.

Preprints

Bootstrapping Language Models with DPO Implicit Rewards
Changyu Chen^*, Zichen Liu^*, Chao Du^†, Tianyu Pang, Qian Liu, Arunesh Sinha^†, Pradeep Varakantham^†, Min Lin
arXiv, 2024
arXiv / code

Selected Publications

	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham NeurIPS, 2023 project page / arXiv / code
	Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha, AAAI, 2022 arXiv / code

^† denotes corresponding author
^* denotes equal contribution

Thank Jon Barron for sharing his website's source code.