About me

I am a second-year master’s student from the School of Artificial Intelligence of Nanjing University and serve as a member of the Natural Language Processing Group, advised by Xinyu Dai and Zhen Wu. Previously, I obtained a B.S. degree in the School of Computer Science and Technology at Xidian University. You can find my CV here: Yu Fangxu’s Curriculum Vitae

My research interests lie in machine learning and natural language processing, including

• Sentiment analysis and dialogue modeling
  
• Controllable and constrained text generation
  
• Graph learning applications in NLP
  

News

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

June 2021: one paper is accepted to Signal Processing. The work proposes an unsupervised bidirectional deep probabilistic model for Radar Target Recognition.