Emily Yue-ting Jia

Contact me at eyjia@usc.edu or jiaemily120@gmail.com

Emily Yue-ting Jia

I’m Emily Yue-ting Jia, a Ph.D. student in Computer Science at the University of Southern California, co-advised by Prof. Yajie Zhao and Prof. Yue Wang.

My research focuses on 3D computer vision and generative models. I’m also interested in learning physical dynamics from visual data and applying this understanding to robotics.

I received my bachelor’s degree in Computer Science and Technology from Tsinghua University, where I was fortunate to work with Prof. Li Yi and Prof. Yushen Liu on 3D computer vision and scene reconstruction.

news

Mar 26, 2026 Our CVPR 2026 paper ICTPolarReal is now on arXiv! Explore the dataset on our project page.
Mar 17, 2026 DreamPlan is now on arXiv! We use video world models to fine-tune vision-language planners for robotic manipulation.
Nov 30, 2025 Our NeurIPS 2025 paper Seeing the Wind from a Falling Leaf is now on arXiv, recovering invisible forces from videos.
Aug 11, 2025 Our ICCV 2025 paper PhysFluid is now on arXiv, generating physics-grounded fluid animations from a single image.

selected publications

  1. DreamPlan: Efficient Reinforcement Fine-Tuning of Vision-Language Planners via Video World Models preview
    DreamPlan: Efficient Reinforcement Fine-Tuning of Vision-Language Planners via Video World Models
    Emily Yue-Ting Jia*, Weiduo Yuan*, Tianheng Shi, Vitor Guizilini, Jiageng Mao, and Yue Wang
    2026
    * Equal contribution
    arXiv HTML PDF
  2. ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects preview
    ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects
    Jing Yang, Krithika Dharanikota, Emily Jia, Haiwei Chen, and Yajie Zhao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026
    arXiv HTML PDF
  3. Seeing the Wind from a Falling Leaf preview
    Seeing the Wind from a Falling Leaf
    Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu, Haozhe Lou, Emily Yue-ting Jia, Jernej Barbič, Jiajun Wu, and Yue Wang
    Advances in Neural Information Processing Systems (NeurIPS) 2025
    arXiv HTML PDF
  4. Learning an Implicit Physics Model for Image-based Fluid Simulation
    Emily Yue-Ting Jia, Jiageng Mao, Zhiyuan Gao, Yajie Zhao, and Yue Wang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Oct 2025
    arXiv HTML PDF Code
  5. NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction preview
    NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
    Wenyuan Zhang, Emily Yue-ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu, and Zhizhong Han
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2025
    HTML