Jie Fu (姐夫)

Jie Fu (姐夫)

Postdoctoral Fellow

Mila, University of Montreal

Biography

Jie Fu is a happy 😄 machine learning postdoc with his human-friendly big AI dream. He is focusing on drug discovery (antibiotics discovery in particular) at Quebec Artificial Intelligence Institute (Mila), supervised by Yoshua Bengio and Chris Pal. He is also broadly interested in reinforcement learning and language processing.

Interests

  • Deep Learning
  • Drug Discovery
  • Reinforcement Learning
  • Language Processing

Education

  • Ph.D. in Computer Science

    National University of Singapore, supervised by Tat-Seng Chua

  • M.Sc. in Computer Science (Distinction)

    University of Otago, supervised by Brendan McCane & Lubica Benuskova

Recent Publications

I’m (still…) training myself (slowly…)

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters

ICLR 2021, Spotlight

CoCon: A Self-Supervised Approach for Controlled Text Generation

ICLR 2021

Role-Wise Data Augmentation for Knowledge Distillation

arxiv.org/abs/2004.08861

Interactive Machine Comprehension with Information Seeking Agents

ACL, 2020

RikiNet: Reading Wikipedia Pages for Natural Question Answering

ACL 2020

Current Key Research Projects

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Antibiotic Discovery

active learning framework

Drug-Target Interaction

adapting tools from NLP (e.g. language models)

Meta RL

e.g. for sample-efficiency

Catch Me

if interested in discussing ideas or collaborating