- Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs, Feng Hong*, Geng Yu* et al., arXiv 2025
- Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection, Geng Yu, Jianing Zhu et al., NeurIPS 2024
- Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation, Jianing Zhu, Geng Yu et al., NeurIPS 2023
Research Experience
- Master's student, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Sep. 2023 - Mar. 2026 (expected), Advisor: Prof. Jiangchao Yao
- Research assistant, School of Artificial Intelligence, Shanghai Jiao Tong University, Apr. 2025 - Jul. 2025, Advisor: Prof. Linfeng Zhang
- Research intern, Imperfect Information Learning Team, RIKEN AIP, Oct. 2024 - Mar. 2025, Advisors: Prof. Gang Niu and Prof. Masashi Sugiyama
- Research assistant, TMLR group, Hong Kong Baptist University, Jul. 2023 - Dec. 2023, Advisor: Prof. Bo Han
Education
- Master's Student, Shanghai Jiao Tong University, Sep. 2023 - Mar. 2026 (expected), Advisor: Prof. Jiangchao Yao
- B.Eng., Shanghai Jiao Tong University, 2023
Background
Research Interests: Trustworthy, agentic, and efficient AI, with a recent focus on Large Language Models (LLMs), (Multi-modal) Diffusion LLMs, Efficient Training and Inference, LLM-based Agents.