Yifan Wu

Boston University M.S., Boston University (2024)

I am a graduate with a Master degree from Boston University, where I was supervised by Prof. Janusz Konrad and Prof. Brian Kulis. I received my B.Eng. degree with honors from Yangzhou University, under the supervision of Prof. Wei Jiang. I am currently conducting research in CGVU Lab at The University of Hong Kong, supervised by Prof. Taku Komura. My research interests are in Graphics, Reinforcement Learning, Physical Simulation and Robotics. I have previously worked on visual understanding, video generation, 3D reconstruction, animation using UE5 and Unity, and traditional computer vision tasks. I am currently seeking a Ph.D. position for Fall 2025.


Education
  • HongKong University

    HongKong University

    Research Assistant Feb. 2024 - Present

  • Boston University

    Boston University

    M.S. in Electrical and Computer Engineering Sep. 2022 - Jan. 2024

  • Yangzhou University

    Yangzhou University

    B.ENG. in Electrical Engineering Sep.2018 - Jun. 2022

Honors & Awards
  • MIT-Interdisciplinary Quantum Information Science and Engineering 2024
  • President's Excellence Scholarship 2020
  • National College Students Mathematical Contest in Modeling, second place 2021
  • 2023 ECE Master's Community Award 2023
  • Teaching Assistant for EC601
News
  • two paper submitted to ICCV 2025.

  • one paper accepted to SIGGRAPH Aisa 2024 TOG.

Experience
  • The University of Hong Kong

    The University of Hong Kong

    Research Assistant Feb. 2024 - Present

  • SoftBank

    SoftBank

    Intern Feb. 2024 - May. 2024

  • ScaleAI

    ScaleAI

    Intern Dec. 2023 - Feb. 2024

  • Chinese Academy of Sciences

    Chinese Academy of Sciences

    Research Assistant Sep. 2021 - Nov. 2021

Selected Publications (view all )
SIMS:Simulating Human-Scene Interactions with Real World Script Planning
SIMS:Simulating Human-Scene Interactions with Real World Script Planning

Wenjia Wang, Liang Pan, Zhiyang Dou, Jidong Mei, Zhouyingcheng Liao, Yuke Lou, Yifan Wu, Jingbo Wang, Lei Yang, Taku Komura

preprint arXiv 2025

SIMS:Simulating Human-Scene Interactions with Real World Script Planning
SIMS:Simulating Human-Scene Interactions with Real World Script Planning

Wenjia Wang, Liang Pan, Zhiyang Dou, Jidong Mei, Zhouyingcheng Liao, Yuke Lou, Yifan Wu, Jingbo Wang, Lei Yang, Taku Komura

preprint arXiv 2025

SOFT:Synthetic High-Quality Dataset for Fish Tracking with Multiple Camera Views
SOFT:Synthetic High-Quality Dataset for Fish Tracking with Multiple Camera Views

Yifan Wu, Wenjia Wang, Zhiyang Dou, Yuke Lou, Rui Xu, Janusz Konrad, Wenping Wang, Taku Komura

preprint arXiv 2024

SOFT:Synthetic High-Quality Dataset for Fish Tracking with Multiple Camera Views
SOFT:Synthetic High-Quality Dataset for Fish Tracking with Multiple Camera Views

Yifan Wu, Wenjia Wang, Zhiyang Dou, Yuke Lou, Rui Xu, Janusz Konrad, Wenping Wang, Taku Komura

preprint arXiv 2024

CBIL:Collective Behavior Imitation Learning for Fish from Real Videos
CBIL:Collective Behavior Imitation Learning for Fish from Real Videos

Yifan Wu, Zhiyang Dou, Yuko Ishiwaka, Shun Ogawa, Yuke Lou, Wenping Wang, Lingjie Liu, Taku Komura

SIGGRAPH Asia 2024 TOG (ACM Transactions on Graphics) 2024

CBIL:Collective Behavior Imitation Learning for Fish from Real Videos
CBIL:Collective Behavior Imitation Learning for Fish from Real Videos

Yifan Wu, Zhiyang Dou, Yuko Ishiwaka, Shun Ogawa, Yuke Lou, Wenping Wang, Lingjie Liu, Taku Komura

SIGGRAPH Asia 2024 TOG (ACM Transactions on Graphics) 2024

FBINeRF:Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields
FBINeRF:Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields

Yifan Wu, Tianyi Cheng, Peixu Xin, Janusz Konrad

ECCV (prepared) N/A

FBINeRF:Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields
FBINeRF:Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields

Yifan Wu, Tianyi Cheng, Peixu Xin, Janusz Konrad

ECCV (prepared) N/A

All publications