Two papers accepted by EMNLP main in 2025; two first-author papers accepted by ACL main in 2025; one paper accepted by NAACL main and one by NAACL findings in 2025; new benchmark paper about MLLM Unlearning released in October 2024; two papers accepted by EMNLP main in September 2024; new survey paper about Generative AI Machine Unlearning released in July 2024; one paper accepted to ACL 2024 in May 2024; will join Amazon as an Applied Scientist Intern in summer 2024.
Research Experience
Published multiple papers in top conferences, focusing on areas such as model merging, neuron pruning, knowledge disentanglement, and privacy protection.
Education
Currently a third-year CS PhD student at the University of Notre Dame, advised by Prof. Meng Jiang; received B.S. in Computer Science and Applied Math from Brandeis University.
Background
Research interests include GenAI (e.g., MLLM/LLM) Safety, AI Privacy, Trustworthy AI, Agentic Safety, and Multi-Agent Collaboration. Currently exploring Agentic Safety and Multi-agent collaboration.
Miscellany
Active blog writer on Red Notes (小红书); contact information includes Email, CV, Google Scholar, Semantic Scholar, X (Twitter), Github, LinkedIn, and Red Notes (小红书).