Zhongxiang Dai (代忠祥)
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Zhongxiang Dai |
About me
I am an Assistant Professor (Presidential Young Fellow) at the School of Data Science (SDS), The Chinese University of Hong Kong, Shenzhen (CUHKSZ) since 2024.
I work on both the theory and applications of AI/machine learning. On the practical side, I'm mostly interested in large language models (LLMs), including LLM-based agents, personalization of LLMs, LLM routing, LLM-based social simulation, prompt optimization, and RLHF/DPO. On the theoretical side, I'm mainly interested in the theoretical study of multi-armed bandits. I have served as the Area Chair (AC) for NeurIPS, ICML and ICLR.
My research has received supports from multiple grants and talent programs, such as:
- 国家级高层次青年人才
- 广东省“珠江人才计划”青年拔尖人才
- 广东省自然科学基金优秀青年项目（Guangdong Provincial NSF Excellent Young Scientists Fund）
- 国家自然科学基金青年基金(C类)（NSFC Young Scientist Fund）
- 深圳市自然科学基金面上项目（Shenzhen NSF General Program）
- 华为大模型智能体合作项目（Collaboration project with Huawei on LLM Agents）
- 华为青年学者（Huawei Young Scholars）
Experiences
From Jan 2024 to Jun 2024, I worked as a Postdoctoral Associate at MIT, Laboratory for Information and Decision Systems (LIDS), advised by Prof. Patrick Jaillet. From 2021 to 2023, I was a Postdoctoral Fellow at the National University of Singapore (NUS) with Prof. Bryan Kian Hsiang Low. I obtained my Ph.D. in Computer Science from NUS (2017-2021), co-advised by Prof. Bryan Kian Hsiang Low (NUS) and Prof. Patrick Jaillet (MIT). My Ph.D. study was supported by Singapore-MIT Alliance for Research and Technology (SMART) Graduate Fellowship. In 2015, I obtained my undergraduate degree from NUS, Electrical Engineering with first class honors.