Jie Fu (付杰) is a happy and funny visiting scholar at Hong Kong University of Science and Technology (HKUST), chasing his human-friendly big AI dream.
He was a postdoctoral fellow (funded by Microsoft Research Montreal) supervised by Yoshua Bengio at University of Montreal, Quebec AI Institute (Mila). He was an IVADO postdoctoral fellow supervised by Chris Pal at Polytechnique Montreal, Quebec AI Institute (Mila). He worked as a researcher (PI) at BAAI (智源人工智能研究院). He obtained his PhD from National University of Singapore under the supervision of Tat-Seng Chua. He received outstanding paper awards at NAACL 2024, ICLR 2021.
His research agenda is centered around establishing an LLM within a unified, safe, and scalable world model framework, having an tight integration of System-1 (e.g., intuitive, fast) and System-2 (e.g., slow, logical, algorithmic, reasoning, planning) functionalities. More concretely:
- Safe and Scalable System-2 Language Models: Human-AI Alignment, Reinforcement learning, Meta learning, Reasoning, Modular neural architectures, etc
- Applications: Multi-modal learning (e.g., NLP, CV), Multi-modal embodied intelligence, AI for science, etc
