Ruiqi Wang


ruiqi_w@sfu.ca

Ph.D Student

Simon Fraser University

About Me

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Ruiqi Wang is a Ph.D student in GrUVi Lab at Simon Fraser University, supervised by Prof. Hao(Richard) Zhang.
She has a board interest in computer vision and graphics with deep learning methods. Currently, she is working on functionality reasoning in human-centric visual understanding, including images, videos, and 3D scenes.

Before joined SFU, she received her M.S. (with Distinction) in Machine Learning and Computer Vision from The Australian National University, under the supervision of Prof. Stephen Gould in December, 2020. She completed her B.Eng (Cum Laude) in Digital Media Technology at Beijing Normal University in June, 2018, finishing the 4-year program in 3 years.

News

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08/2025
I am returning Amazon as an Applied Scientist Intern at AWS Bedrock. 🤖
06/2025
Released Ego-R1 and finished my visiting at NTU, thanks to my advisors and friends for their support! 🎉
05/2025
Finally made RESAnything public after 6 months, iykyk ... 🥲
03/2025
I am visiting MMLab@NTU, advised by Prof. Ziwei Liu. 😎
07/2024
MVP-SEG, the work I did in 2022, is finally accepted to ECCV 2024. 🥹
06/2024
Starting my internship as an Applied Scientist at Amazon Science. 😎

Publications

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Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
preprints 2025
Introduced a novel framework for reasoning over ultra-long (i.e., in days and weeks) egocentric videos, which leverages a structured Chain-of-Tool-Thought (CoTT) process orchestrated by an Ego-R1 Agent.
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
Ruiqi Wang and Hao Zhang
preprints 2025
Presented an open-vocabulary and zero-shot method for arbitrary Referring Expression Segmentation (RES), targeting more general input expressions than those handled by prior works.
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising
preprints 2024
Presented a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters.
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Image
ECCV 2024
Introduced the first active learning (AL) framework for high-accuracy instance segmentation of moveable parts from RGB images of real indoor scenes.

Working experience

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Applied Scientist II Intern | Amazon Web Services (AWS)
AWS Bedrock
2025/08 - present

Visiting Student (RA II) | Nanyang Technological University
MMLab
2025/03 - 2025/06
Applied Scientist II Intern | Amazon Science
Visual Innovation Team
2024/06 - 2024/10

Student Visiting Scientist | CSIRO's Data61
Imaging and Computer Vision Group
2020/11 - 2021/05

Awards

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  • Ph.D. Research Scholarship, Simon Fraser University, 2023, 2024, 2025
  • Graduate Fellowship, Simon Fraser University, 2023, 2024, 2025
  • Bruce Hall Residential Scholarship, The Australian National University, 2019-2020
  • Excellent Graduate Scholarship, Beijing Normal University, 2018
  • Dean's Honour Roll, Beijing Normal University, 2016, 2017, 2018


  • TAs

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    SFU

  • Summer 2023: CMPT 729 Reinforcement Learning, under Prof. Jason Peng.
  • Spring 2023: CMPT 713 Natural Language Processing, under Prof. Angel Chang.
  • ANU

  • S2 2020: COMP1730/COMP6730 Programming for Scientist, under Prof. Patrik Haslum
  • S2 2020: COMP3670/COMP6670 Introduction to Machine Learning, under Prof. Liang Zheng


  • Services

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  • Conflict of Interest Coordinator, SIGGRAPH ASIA 2024
  • Reviewer, CVPR 2025, ICCV 2025, IJCV 2025, SIGGRAPH ASIA 2025


  • Miscellaneous

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  • my kids meizai and meihua.