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Hi, I'm Chen Jiang from McGill

I am a second-year Ph.D. student at McGill University supervised by Dr. Paul Masset and Dr. Guillaume Lajoie. I am working on the intersection of neuroscience and artificial intelligence, often called “NeuroAI”. My primary research interest lies in understanding the structure of representation in artificial and biological neural networks via tools like dynamical systems and geometry/manifolds. I also build probabilistic generative models through diffusion/flow-based algorithms. My general goal is to understand how intelligent systems make decisions and optimize behaviors under uncertainty, as well as rapidly infer sensory signals from noisy natural environments.

Before joining McGill, I had the privilege of working with Dr. Ni Ji at the Chinese Institute for Brain Research in Beijing (CIBR) for two years, initially as an intern and later as a full-time research assistant. My work there centered on developing a brain-inspired Hopfield network model to achieve an optimal balance between exploration and exploitation in reinforcement learning. Prior to my time at CIBR, I collaborated with Dr. Qihao Zhao and Dr. Wei Hu on tackling long-tail learning challenges during my time as an undergrad at BUCT.

Feel free to contact me for both academic and non-academic discussions: chen.jiang3@mail.mcgill.ca

🍁 Montréal, Canada

News

[Jan. 2025] 🥳 🥳 Our paper “Brain Bandit—A biologically grounded neural network for efficient control of exploration” is accepted to ICLR2025 (Oral, see public review).
[Dec. 2024] 🥳 Our abstract “Simultaneous detection and mapping in the olfactory bulb” is accepted to Computational and Systems Neuroscience (COSYNE 2025) for a poster presentation.
[Oct. 2024] 🥳 Our abstract “Brain Bandit—A biologically grounded neural network for efficient control of exploration” is also selected as a poster presentation at Montreal AI and Neuroscience conference (MAIN 2024). Feel free to talk with me in person in beautiful Montreal. [Poster]
[Sep. 2024] 🥳 Our abstract “Brain Bandit—A biologically grounded neural network for efficient control of exploration” is selected as a poster presentation at From Neuroscience to Artificially Intelligent Systems (NAISys) meeting. [Poster]
[Sep. 2024] 🎊 Feeling excited to start my journey at McGill University!!
[Oct. 2023] 🥳 Our paper “MDCS: More diverse experts with consistency self-distillation for long-tailed recognition” is accepted to International Conference on Computer Vision (ICCV 2023). [Paper]
[Jul. 2023] 🎊 Joined Dr. Ni Ji’s Lab as a full-time research assistant.
[Aug. 2022] 🎊 Started my research internship at Chinese Institute for Brain Research, Beijing. I will be working with Dr. Ni Ji.

Get in touch at chen.jiang3@mail.mcgill.ca

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