Jie Fu (付杰) is a happy and funny research scientist at Shanghai AI Lab (上海人工智能实验室), chasing his human-centered big AI dream1.
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) and visiting scholar at HKUST. 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 machine intelligence within a safe and scalable world model framework, having an tight integration of System-1 (e.g., intuitive, fast) and System-2 (e.g., slow, algorithmic, reasoning, planning) functionalities. More concretely:
- Safe and scalable System-2 Deep Learning: AI safety (arXiv 23’), reinforcement learning (ICML 24’), meta learning (ICLR 24’), reasoning (arXiv 23’), modular deep learning (NAACL 24’), etc
- Applications: multi-modal learning (arXiv 24’), multi-modal embodied intelligence (CoRL 23’), AI for science (Nature Biotechnology 24’), etc
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I’m not focusing on AGI. Instead, like safe AI scientists, I prefer creating AI assistants that cannot act autonomously in the real world, but only handle theory generation. ↩︎
