Chenyang Wu @ LAMDA
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吴晨阳 |
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Biography
I am currently a Ph.D. candidate at the School of Artificial Intelligence of Nanjing University. I'm privileged to be part of the esteemed LAMDA Group where I work under the insightful guidance of Associate Prof. Zongzhang Zhang.
In June 2023, I was honored with the "Outstanding Graduate" award as I earned my M.Sc. degree from the School of Artificial Intelligence at Nanjing University. My time with Associate Prof. Zhang has allowed me to deeply delve into the complexities of decision making under uncertainty. This rewarding research phase not only honed my skills in artificial intelligence but also set the stage for my ambitious doctoral pursuits.
My academic journey began at the School of Chemistry and Chemical Engineering of Southeast University, where I earned a B.Eng. degree in June 2019. It was during these transformative undergraduate years that I grappled with profound personal challenges, which led me to introspect deeply about the nature of self and the essence of intelligence. This introspection, born out of a period of depression and self-reflection, eventually ignited my passion for artificial intelligence. The quest to understand myself evolved into a broader ambition to decode the intricacies of intelligence, which now remains central to my research.
Research Interests
My primary research interest lies in Intelligent Decision-Making. Specifically, I focus on:
- Online learning from non-IID data streams
- Efficient reasoning with limited resources
- Balancing between exploration and exploitation
For a deeper insight into this topic, you can refer to our paper, Surfing Information.
Publications
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu. ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. arXiv preprint arXiv:2309.05915, 2023.Chenyang Wu and Zongzhang Zhang. Surfing Information: The Challenge of Intelligent Decision-Making. Intelligent Computing, 2023.
Chenyang Wu, Tianci Li, Zongzhang Zhang, and Yang Yu. Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. In: Advances in Neural Information Processing Systems 35 (NeurIPS-2022), New Orleans, USA, 2022.
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, and Jianye Hao. Adaptive Online Packing-guided Search for POMDPs. In: Advances in Neural Information Processing Systems 34 (NeurIPS-2021), pages 28419-28430, Virtual Conference, 2021.
Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, and Wulong Liu. LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-2021), pages 15927-15928, Virtual Conference, 2021.
Patents
Partially Observable Driving Planning Method Based on Adaptive Particle Filter and Belief Packing (基于自适应粒子与信念填充的部分可观察驾驶规划方法)Awards & Honors
Outstanding Master's Graduate Award, 2023Outstanding Master's Thesis Award, 2023
Tencent Scholarship, 2022
National Scholarship, 2021
Outstanding Model Graduate Student Award, 2021
Academic Services
Reviewer in the 37th Conference on Neural Information Processing Systems (NeurIPS-2023) Auxiliary Reviewer in the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2021)Correspondence
Email:
wucy@lamda.nju.edu.cn
Laboratory:
A504, Shaoyifu Building, Nanjing University Xianlin Campus
Address:
National Key Laboratory for Novel Software Technology, Mailbox 603, Nanjing University Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)