Haowei Lin(林昊苇)

E-mail: linhaowei (at) pku (dot) edu (dot) cn

I am a second year Ph.D. student at the Institute for Artificial Intelligence, Peking University, co-advised by Prof. Yitao Liang and Prof. Jianzhu Ma.

I received my Bachelor’s degree in Artificial Intelligence from Yuanpei College, Peking University, where I was fortunate to work with Prof. Bing Liu on OOD detection, continual learning and NLP. We are the first to propose the task of continual pre-training (EMNLP22, ICLR23), and study the theoretical equivalence between OOD detection and continual learning (EMNLP23, ICLR24).

I am passionate about designing next-generation AI that deeply integrates into real world. My primary research focus is in the field of machine learning, with specific interests in Generative Foundation Models (LLM scaling law, 3D autoregressive model, training-free diffusion guidance, discrete flow matching). Currently, I am working on LLM for scientific discovery (e.g., physical law discovery) and complex reasoning (open-world game agent, multi-turn reasoning).

I am a member of Team CraftJarvis, which is dedicated to creating generalist agents for open-world environments. Outside of my professional interests, I enjoy engaging in music-related activities, including singing, playing the guitar, and participating in choirs.