About Me
I am a third-year master's student at Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University (SJTU), advised by Prof. Jiangchao Yao. I was a research intern at RIKEN AIP, fortunately working with Prof. Gang Niu and Prof. Masashi Sugiyama, and I was a research assistant at TMLR group of Hong Kong Baptist University, fortunately working with Prof. Bo Han. Before that, I received my B.Eng. from Shanghai Jiao Tong University in 2023.
My research interests lie in trustworthy, agentic and efficient AI, with the recent focus on topics as follows:
- Large Language Models (LLMs)
- (Multi-modal) Diffusion LLMs
- Efficient Training and Inference
- LLM-based Agents
Selected Publications
(* indicates the equal contribution. † indicates the corresponding author. For the full publication list, please refer to my Google Scholar page.)
- Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs
Feng Hong*, Geng Yu*, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao†
In arXiv 2025. [PDF] [Code] - Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu, Jianing Zhu, Jiangchao Yao†, Bo Han
In NeurIPS 2024. [PDF] [Code] - Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han†
In NeurIPS 2023. [PDF] [Code]
Experiences
- Master's student, Sep. 2023 - Mar. 2026 (expected)
Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Advised by Prof. Jiangchao Yao - Research assistant, Apr. 2025 - Jul. 2025
School of Artificial Intelligence, Shanghai Jiao Tong University
Advised by Prof. Linfeng Zhang - Research intern, Oct. 2024 - Mar. 2025
Imperfect Information Learning Team, RIKEN AIP
Advised by Prof. Gang Niu and Prof. Masashi Sugiyama - Research assistant, Jul. 2023 - Dec. 2023
TMLR group, Hong Kong Baptist University
Advised by Prof. Bo Han