ruiqi wang


ruiqi_w@sfu.ca

phd student

simon fraser university

bio

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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 broad 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.

recently ...

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05/2026
Starting my research internship at NVIDIA Robotics Perception Lab.
05/2026
Ego-R1 got accepted to TPAMI 2026! Congrats to Shulin and all my co-authors!
09/2025
RESAnything is accepted to NeurIPS 2025. Special thanks to Kai (he's hiring) for his generous help!
08/2025
I am returning Amazon as an Applied Scientist Intern at AWS. 🤖
06/2025
Released Ego-R1 and finished my visiting at NTU, thanks to my advisors and friends for their support! 🎉

pubs

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selected publications. * denotes equal contribution

more coming soon ...

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
Shulin Tian*, Ruiqi Wang*, Hongming Guo, Penghao Wu, Yuhao Dong, Xiuying Wang, Jingkang Yang, Hao Zhang, Hongyuan Zhu, Ziwei Liu
TPAMI 2026
ICCV 2025 Workshop on Multi-Modal Reasoning for Agentic Intelligence (MMRAgI)
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.
PaperPage
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
Ruiqi Wang and Hao Zhang
NeurIPS 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.
PaperPage
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Image
Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang
ECCV 2024
Introduced the first active learning (AL) framework for high-accuracy instance segmentation of moveable parts from RGB images of real indoor scenes.
PaperPage

experience

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Research Scientist Intern | NVIDIA
Robotics Perception
📍 Redmond, WA
2026/05 - TBD

Applied Scientist II Intern | Amazon Web Services (AWS)
AWS Bedrock
📍 Vancouver, BC
2025/08 - 2025/11

Visiting Student | Nanyang Technological University
MMLab
📍 Singapore
2025/03 - 2025/06
Applied Scientist II Intern | Amazon Science
Visual Innovation Team
📍 Vancouver, BC
2024/06 - 2024/10

Student Visiting Scientist | CSIRO's Data61
Imaging and Computer Vision Group
📍 Canberra, Australia
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


    • teaching

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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, IJCV, CVPR, ICCV, SIGGRAPH ASIA, 3DV


    • misc.

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  • my kids meizai and meihua.

    • Last updated: Jan 2026

    Ruiqi Wang 2025, thanks April Wang for this cool template.