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 Latent Reasoning, LLM/VLM Reasoning and Planning, Agent-based Model Simulator, Multi-agent Reinforcement Learning, AI for Climate Change, Algorithmic Game Theory, 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

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 (CLAP) . In ICASSP.

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Tianyu Zhang, Xinyu Wang, Zhenghan Tai, Lu Li, Jijun Chi, Jingrui Tian, Hailin He, Suyuchen Wang (2025). STRICT: Stress Test of Rendering Images Containing Text. In EMNLP 2025.

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Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio (2025). MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. In ICLR 2025.

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Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio (2025). VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. In ICLR 2025.

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Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, Joao Monteiro, Krishnamurthy DJ Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Ozsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam Laradji, Spandanna Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar (2024). BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. In ICLR 2025.

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Juan Duque, Milad Aghajohari, Timotheus Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron Courville (2025). Advantage Alignment Algorithms. In ICLR.

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Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Wenhao Huang, Jie Fu, Ge Zhang (2025). MuPT: A Generative Symbolic Music Pretrained Transformer. In ICLR 2025.

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Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Gauthier Gidel, Nikolay Malkin (2024). Expected flow networks in stochastic environments and two-player zero-sum games. In International Conference on Learning Representations 2024.

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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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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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