About me

I am an incoming Ph.D. student in Computer Science at the University of Maryland, College Park, advised by Prof. Yaodong Yu and Prof. Tianyi Zhou. Currently, I am a third-year master’s student at Nanjing University, advised by Prof. Xinyu Dai and Prof. Zhen Wu. Previously, I earned my bachelor’s degree in Computer Science at Xidian University. You can find my CV here: Yu Fangxu’s Curriculum Vitae

News

May 2025: One paper is accepted to ICML 2025! We adapt Generative Flow Networks (GFlowNets) to LLM multi-step reasoning, which aims to improve the capability of LLMs to find multiple solutions for each problem.

May 2024: One paper is accepted to ICML 2024! We adapt the Energy-based Constrained Decoding with Langevin Dynamics (COLD) to develop the COLD-Attack framework, which unifies and automates the search of adversarial LLM attacks under a variety of control requirements such as fluency, stealthiness, sentiment, and left-right-coherence.

March 2024: One paper is accepted to Findings of NAACL 2024! We propose a novel contrastive learning framework to better distinguish similar emotions in Emotion Recognition in Conversation.

Sep 2021: I’m admitted to study for an M.Sc. degree in the School of Artificial Intelligence at Nanjing University without an entrance examination.

July 2021: Awarded as Excellent Camper by the Institute of Automation, Chinese Academy of Sciences