Jie Fu (付杰) is a happy1 and funny machine learning researcher (principal investigator), currently at Beijing Academy of Artificial Intelligence2 (BAAI, 北京智源人工智能研究院), with his human-friendly big AI dream.
He worked as a postdoc with Yoshua Bengio at University of Montreal, Quebec AI Institute (Mila), funded by Microsoft Research Montreal. He was an IVADO postdoc fellow working with Chris Pal at Polytechnique Montreal, Quebec AI Institute (Mila). He obtained his PhD from National University of Singapore under the supervision of Tat-Seng Chua. He received ICLR 2021 Outstanding Paper Award.
He is currently working towards scalable system-2 deep learning and its adaption to various real-world tasks, including large-scale mixed-modality learning with decent reasoning capabilities, and AI for science (drug discovery in particular) that can benefit all of society. He is also broadly interested in general deep learning, reinforcement learning, and language processing. More concretely:
- Towards System-2 Deep Learning: Meta learning, Lifelong learning, Reasoning, Modular neural architectures, Causal representation learning, etc
- Applications: Multi-modal learning (e.g., NLP, CV), Multi-modal embodied intelligence, AI for science, etc
