Tianyu Zhang

Tianyu Zhang

Ph.D. Student in Machine Learning

MILA - Québec Institute for Artificial Intelligence

Biography

Tianyu Zhang is a Ph.D. student supervised by Prof. Yoshua Bengio at Mila. He leads the RICE-N project which wins Netexplo Innovation Award in 2023. His research interests include Algorithmic Game Theory, Agent-based Model Simulator, AI for Climate Change, Multi-agent Reinforcement Learning, Modular Deep Learning etc. Previously, he worked as a quantitative researcher in financial engineering. Please feel free to contact him if you are interested in his work.

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Education

  • Ph.D Student in Machine Learning, 09/2021 - Present

    MILA - Québec Institute for Artificial Intelligence

  • M.Sc. in Machine Learning, 09/2020 - 06/2021

    MILA - Québec Institute for Artificial Intelligence

  • M.S. in Applied Mathematics, 09/2018 - 01/2020

    Courant Institute at New York University

  • B.S. in Mathematics and B.Econ. in Finance, 09/2014 - 06/2018

    Wuhan University

Projects

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All Deep Learning Multi-agent Cooperation Game Theory Market Mechanism
A Market-based Approach for Climate Finance and Risk Assessment
Price social cost of carbon retrospectively
CLAP
Train a CLIP-like large model for audio-text domains
MARL for Renewable Integration in the Electric Power Grid
Motivate a collaborative multi-agent reinforcement learning approach to meet the algorithmic requirements for providing real-time power balancing with demand response.
Multi Agent Cooperation in Game Theory
Scalable solutions to a cooperate-cooperate equilibrium
RICE-N | AI for Global Climate Cooperation
Design negotiation protocol for climate club

Recent Publications

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Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov (2023). Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation . In ICASSP.

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Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry (2023). Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. In AAMAS 2023 Extened Abstract.

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Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure FP Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio (2022). Biological Sequence Design with GFlowNets. In ICML.

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Yoshua Bengio, Prateek Gupta, Dylan Radovic, Maarten Scholl, Andrew Williams, Christian Schroeder de Witt, Tianyu Zhang, Yang Zhang (2022). (Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment. In arXiv.org.

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Vincent Mai, Tianyu Zhang, Antoine Lesage-Landry (2021). Multi-agent reinforcement learning for renewable integration in the electric power grid. In NeurIPS 2021 CCAI workshop.

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Victor Schmidt, Alexandra Luccioni, Melisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernandez-Garcia, Yoshua Bengio (2021). ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. In ICLR.

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Liang Mao, Tianyu Zhang (2017). A minimal sufficient set of procedures in a bargaining model. In Economics Letters.

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