About me

I am an incoming PhD student in Computer Science at UT Austin Longhorn Logo the University of Texas at Austin, supervised by Prof. Peter Stone.

Previously, I did my Master's at McGill Logo McGill University and Mila LogoMILA - Quebec AI Institute, where I was supervised by Prof. Gregory Dudek and Prof. Doina Precup (2024-2026). Before that, I did my undergraduate degree in Honors Computer Science at McGill University (2020-2024).

Research Interests

Broadly speaking, I am interested in any topics in Machine Learning. Most of my work is in the area of Reinforcement Learning and Robotics. Specifically, I am interested in the most difficult problems in Robotics, such as

  • Model the external world with the proper level of abstraction.
  • Coherent integration of prepherial sensors into decision making.
  • Trial and error interactive learning with generalization.

Selected Research Projects

* indicates co-first authors and † indicates corresponding authors

Sep 2026
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The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks

Shuo Wen †, Beixi Du, Edwin Meriaux, Junming Shi, Chloe Si, David Meger, Doina Precup, Gregory Dudek

NeurIPS 2026 Evaluations & Datasets Track

Feb 2026
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MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks

Lirong Che *, Shuo Wen *, Shan Huang, Chuang Wang, Yuzhe Yang, Gregory Dudek, Xueqian Wang, Jian Su

Poster at CVPR 2026

Jan 2026
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Stable Multi-Drone GNSS Tracking System for Marine Robots

Shuo Wen †*, Edwin Meriaux †*, Mariana Sosa Guzmán *, Zhizun Wang, Junming Shi, Gregory Dudek

Oral at ICRA 2026 (Oral rate: 4.37%)

May 2025
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Scalable Aerial GNSS Localization for Marine Robots

Shuo Wen *, Edwin Meriaux *, Mariana Sosa Guzman, Charlotte Morissette, Chloe Si, Bobak Baghi, Gregory Dudek

2025 ICRA Workshop Robots in the Wild

Pending
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On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds

Edwin Meriaux *, Shuo Wen *, Louis-Roy Langevin, Doina Precup, Antonio Loría, Gregory Dudek

Under review