Junli Wang

Hi! I am working on computer-use agents at Meta Superintelligence Labs. I contributed to Muse Spark 1.1, 1.2, 1.3, and the development of Muse.

Before that, I was a Ph.D. student in Computer Science and Engineering at UC San Diego, advised by Prof. Prithviraj Ammanabrolu and Prof. Hao Zhang.

Experience

  • Meta Superintelligence Labs May 2026 - Present
    Research Scientist
  • UC San Diego Jan 2026 – Present
    Ph.D. student, Computer Science and Engineering
  • Qwen Team, Alibaba Nov 2024 – Nov 2025
    Research Intern
    Mentored by Binyuan Hui
  • XLang Lab, University of Hong Kong Apr 2024 – Dec 2024
    Research Intern
    Advised by Prof. Tao Yu
  • Tsinghua University Sep 2021 – Jun 2025
    B.Eng., Computer Science and Technology
    Affiliated with Xinya CollegeXinya College is the first residential undergraduate liberal arts and sciences college established by Tsinghua University on September 27, 2014. Admitting a select cohort of top students across the arts and sciences each year, it offers a year of broad liberal education before students choose any major at Tsinghua.

Publications

  1. Dunjie Lu* and Yiheng Xu* and Junli Wang* and Haoyuan Wu and Xinyuan Wang and Zekun Wang and Junlin Yang and Hongjin Su and Jixuan Chen and Junda Chen and Yuchen Mao and Jingren Zhou and Junyang Lin and Binyuan Hui and Tao Yu
    TL;DR: VideoAgentTrek mines screen-recorded internet videos into labeled computer-use actions through inverse dynamics, creating web-scale supervision that improves agent pretraining without manual trajectory annotation.
    International Conference on Learning Representations (ICLR), 2026.
  2. CocoaBench Team
    TL;DR: CocoaBench evaluates unified digital agents on long-horizon tasks that require composing vision, search, and coding, showing that current systems remain far from reliable in the wild.
  3. Bowen Wang, Xinyuan Wang, Jiaqi Deng, Tianbao Xie, Ryan Li, Yanzhe Zhang, Junli Wang, Dunjie Lu, Zicheng Gong, Gavin Li, Toh Jing Hua, Wei-Lin Chiang, Ion Stoica, Diyi Yang, Yu Su, Yi Zhang, Zhiguo Wang, Victor Zhong, Tao Yu
    TL;DR: Computer Agent Arena is an open-source platform for head-to-head CUA evaluation and a dynamic methodology that converts human preferences into structured feedback in realistic environments.
    International Conference on Learning Representations (ICLR), 2026.
  4. OSWorld Team
    TL;DR: OSWorld-Verified upgrades OSWorld with repaired tasks, more robust infrastructure, and public verified evaluation to provide more reliable signals for computer-use agent benchmarking.
  5. Xinyuan Wang*, Bowen Wang*, Dunjie Lu*, Junlin Yang*, Tianbao Xie*, Junli Wang* et al.
    TL;DR: OpenCUA releases an open framework for computer-use agents, including demonstration-capture infrastructure, AgentNet data, reasoning-augmented training pipelines, and competitive open-source CUA models.
    Neural Information Processing Systems (NeurIPS), 2025.
  6. Yiheng Xu*, Zekun Wang*, Junli Wang*, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong
    TL;DR: Aguvis builds a unified vision-based GUI agent that operates directly on screenshots with a standardized action space and structured reasoning, achieving strong cross-platform autonomous computer-use performance.
    International Conference on Machine Learning (ICML), 2025.
  7. Yiheng Xu*, Dunjie Lu*, Zhennan Shen*, Junli Wang, Zekun Wang, Yuchen Mao, Caiming Xiong, Tao Yu
    TL;DR: AgentTrek turns web tutorials into verified multimodal GUI agent trajectories, providing a scalable and low-cost alternative to human annotation for training stronger web agents.
    International Conference on Learning Representations (ICLR), 2025.