Feng Yao
fengyao[AT]ucsd.edu
Hi! My name is Feng (姚峰 in Chinese).
I am a third-year Ph.D. student at UCSD, advised by Prof. Jingbo Shang and Prof. Vish Krishnan. Previously, I received my master’s degree from Tsinghua University, advised by Prof. Zhiyuan Liu and Prof. Weixing Shen.
My research interest genearlly lies in the intersection of Natural Language Processing and Deep Learning. Recently, I have been focusing on training Mixture-of-Experts (MoE) and improving the efficiency of large-scale Reinforcement Learning.
Selected Publications [Full]
- Preprint
Experience
- Amazon Rufus Foundation Model Team | Jun 2025 – Sep 2025
Research Intern
Topic: Post-Training for LLM Agent
Hosts: Zheng Li, Changlong Yu, Shuowei Jin, Lihong Li - Microsoft Research & GenAI | Jun 2024 – Mar 2025
Research Intern
Topic: MoE Training / Reinforcement Learning
Hosts: Liyuan Liu, Shuohang Wang, Yelong Shen, Jianfeng Gao
Invited Talks
- On the Rollout-Training Mismatch in Modern RL Systems
- @ Together AI, December 15, 2025 [slides]
- @ Applied Compute (ex-OpenAI startup), November 10, 2025 [slides]
- @ Tencent Hunyuan Team, October 23, 2025 [slides]
- @ H2Lab@UW, October 22, 2025 [slides]
- @ SeaAI Lab, September 03, 2025 [slides]
- @ MiniMax, September 01, 2025 [slides]
- @ QingkeAI, August 29, 2025 [slides]
- @ TsinghuaNLP & ModelBest, August 27, 2025 [slides]
- @ Kuaishou Klear Team, August 19, 2025 [slides]
- DenseMixer: Improving MoE Post-Training with Precise Router Gradient.
- @ MiniMax, September 01, 2025 [slides]
- @ Kuaishou Klear Team, August 19, 2025 [slides]
- @ Cohere Lab, July 10, 2025 [slides] [recording]
- @ Alibaba Qwen Team, July 09, 2025 [slides]