Zun Wang

I'm a second-year CS Ph.D. student at UNC Chapel Hill, advised by Prof. Mohit Bansal. I was a Master of Machine Learning and Computer Vision student at the Australian National University advised by Prof. Stephen Gould. Before that, I got my bachelor degree in applied mathematics from the University of Science and Technology of China.

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profile photo
Research

My research goal is to build multimodal, generative, and embodied agents, with current interests in:

  • Multimodal Understanding and Generation
  • Scalable Learning for Embodied Agents
  • Multimodal Data Generation and Curation

News

  • (2025-11)   DreamRunner is accepted to AAAI 2026! 🎉
  • (2025-10)   New preprint SID for self-generating large-scale navigation demonstrations.
  • (2025-07)   One paper accepted to ICCV 2025.
  • (2025-05)   New preprint! Check EPiC for efficient video camera control learning.
  • (2025-05)   Summer Intern at 🛒 Amazon!
  • (2025-01)   Self-refining Data Flywheel for high-quality VLN data generation is accepted to ICLR 2025! 🤖 surpasses human on R2R-VLN for the first time!
  • (2024-11)   New preprint DreamRunner✨ for storytelling video generation! My first PhD project at UNC MURGE-Lab🥳!
  • (2024-11)   Our VLN survey paper is accepted to TMLR!
  • (2024-08)   Started my Ph.D. in the MURGe Lab at UNC Chapel Hill. Hello UNC😆!
  • (2024-07)   Two paper accepted to ECCV 2024! Congrats Gengze and InternVideo Team!
  • (2024-04)   One paper accepted to TPAMI! Congrats Dong!
  • (2024-02)   One paper accepted to CVPR 2024 as Highlight! Congrats Kunchang!
  • (2023-10)   Attending ICCV2023 @ Paris in person😆! Great pleasure to learn from so many researchers/scholars🥹!
  • (2023-07)   One paper accepted to ICCV 2023 as Oral presentation!
  • (2023-07)   I'm awarded a Postgraduate Medal for Academic Excellence from ANU!Photos here!
  • (2023-07)   I graduated from Masters of Machine Learning and Computer Vision with Commendation from ANU.
  • (2022-11)   I'm awarded the Chancellor's Letter of Commendation from ANU.
  • (2022-09)   We won 1st place of the REVERIE VLN Challenge in CSIG 2022!
  • (2022-06)   We won 1st place of the RxR-Habitat VLN Competition in Embodied AI Workshop, CVPR 2022!
  • (2022-03)   We have a paper accepted to CVPR 2022!

Selected Papers

* denotes equal contribution, † denotes project lead

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
Zun Wang, Jaemin Cho, Jialu Li, Han Lin, Jaehong Yoon, Yue Zhang, Mohit Bansal
preprint
paper / code / project page
DreamRunner: Fine-grained Storytelling Video Generation with Retrieval-augmented Motion Adaptation
Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal
AAAI, 2026
paper / code / project page
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang
ICLR, 2025
paper / code
Learning Goal-Oriented Language-Guided Navigation with Self-Improving Demonstrations at Scale
Songze Li*, Zun Wang*†, Gengze Zhou, Jialu Li, Xiangyu Zeng, Limin Wang, Yu Qiao, Qi Wu, Mohit Bansal, Yi Wang
preprint
paper / code
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang*, Jialu Li*, Yicong Hong*†, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao
ICCV, 2023, Oral presentation (1.9%)
paper / code / project page

[full list]


Source pages from here.