Zhepei “Bruce” Wei (魏哲培)
 |
Ph.D. Student Email: zhepei.wei [AT] virginia [DOT] edu |
About me
Hello! My name is Zhepei (/dʒɜ:peɪ/) Wei, and I also go by Bruce. I'm a CS PhD student at the University of Virginia, advised by Prof. Yu Meng. Prior to this, I received my B.S. and M.S. degrees in Computer Science from Jilin University in 2019 and 2022. During the research journey, I was fortunate to have been advised by Prof. Hongning Wang and Prof. Yi Chang.
For more information, please check my CV.
What's New
[01/2025] Our paper "InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales" is accepted at ICLR 2025.
[01/2025] Moved to Seattle and started my internship at Amazon Rufus Alignment team!
[09/2024] Thrilled to receive the Copenhaver Charitable Trust Bicentennial Fellowship!
[06/2024] Check out our latest work on explicit denoising for RAG “InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales”!
[05/2024] Thrilled to receive the John A. Stankovic Outstanding Graduate Research Award!
[01/2024] Our paper "Incentivized Truthful Communication for Federated Bandits" is accepted at ICLR 2024.
[09/2023] Our paper "Incentivized Communication for Federated Bandits" is accepted at NeurIPS 2023.
Research Interests
My current research interests focus on the learning foundation of large language models (LLMs) and their applications in solving practical problems (e.g., knowledge reasoning, question answering). My recent work contributes to efficient and trustworthy language generation and reasoning with LLMs, including:
LLM alignment (e.g, self-alignment optimization)
Efficient LLM inference (e.g., ParaDecode [Wei et al. AFM@NeurIPS 2024] )
Retrieval-augmented generation (e.g., InstructRAG [Wei et al. ICLR 2025])
I also introduced the incentivization problem in multi-agent decision-making (i.e., federated bandits) and proposed efficient communication algorithms with rigorous mathematical guarantees (e.g., Inc-FedUCB [Wei et al. NeurIPS 2023], Truth-FedBan [Wei et al. ICLR 2024]).
Selected Awards & Honors
2024. Copenhaver Charitable Trust Bicentennial Fellowship, University of Virginia.
2024. John A. Stankovic Graduate Research Award, University of Virginia.
2023. NeurIPS Scholar Award, NeurIPS Foundation.
2022. Computer Science Scholar Fellowship, University of Virginia.
2020. National Scholarship, Ministry of Education of People's Republic of China.
2020. First-Class Scholarship, Jilin University.
2020. Outstanding Graduate Award, Jilin University.
2019. Honor Graduation Award, Jilin University.
2018. National Scholarship, Ministry of Education of People's Republic of China.
2017. First-Class Scholarship, Jilin University.
2016. National Endeavor Scholarship, Ministry of Education of People's Republic of China.
2016~2017. Undergraduate Leadership Award, Jilin University.
2016~2018. Outstanding Undergraduate Award, Jilin University.