I received my PhD in July 2025 from the School of Computer Science at Peking University, China, where I was supervised by Prof. Baoquan Chen. As a member of the Visual Computing and Learning Lab, I was also advised by Dr. Bin Wang and Dr. Mengyu Chu. In the area of fluid animation, I was remotely advised by Dr. Bo Zhu at Georgia Tech, USA. Earlier, I graduated from the Turing Class at Peking University in July 2020, earning dual bachelor’s degrees in Computer Science and Physics.

My research focuses on physically-based visual computing, with a specialization in physical simulation. My academic ambition is to comprehend and reproduce kinetics and dynamics of the real world in a virtual counterpart, building theoretical foundations to reveal the physical principles. In the past years, I have extensive experience in the creation of dynamic physical scenes, particularly in multi-physics coupling and developing novel geometric representations for high-fidelity simulation and rendering. Currently, I am exploring innovative methods to bridge physical scene creation and comprehension, and to enhance traditional graphics pipelines with AI.

News

  • 2025/08  🎉🎉 Our paper has been conditionally accepted to SIGGRAPH Asia 2025.
  • 2025/08  🎉🎉 Our paper has been conditionally accepted to Pacific Graphics 2025.
  • 2025/08  🎉🎉 Our paper has been awarded the Best Paper Award at SCA 2025.
  • 2025/07  🎉🎉 I received my PhD from Peking University.
  • 2025/06  🎉🎉 Our paper has been conditionally accepted to ICCV 2025.

Publications

(*: joint 1st authors, †: corresponding authors)

  1. ICCV
    Qi Zhao, Xingyu Ni, Ziyu Wang, Feng Cheng, Ziyan Yang, Lu Jiang, Bohan Wang
    2025 IEEE/CVF International Conference on Computer Vision (ICCV). October 2025.

  2. SCA
    Xingyu Ni, Jingrui Xing, Xingqiao Li, Bin Wang, Baoquan Chen
    Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT) 8, 4, Article 52. August 2025.

  3. CVPR
    Qiyu Dai*, Xingyu Ni*, Qianfan Shen, Wenzheng Chen, Baoquan Chen, Mengyu Chu
    2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16153–16162. June 2025.

  4. SIGGRAPH Asia
    Xuwen Chen, Cheng Yu, Xingyu Ni, Mengyu Chu, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 43, 6, Article 223. December 2024.

  5. SPM
    Xingyu Ni*, Xuwen Chen*, Cheng Yu, Bin Wang, Baoquan Chen
    Computer-Aided Design (CAD) 174, Article 103734. September 2024.

  6. SIGGRAPH
    Xingyu Ni*, Ruicheng Wang*, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 43, 4, Article 56. July 2024.

  7. Yimo Yan, Chao Song, Zaiyi Shen, Yuechen Zhu, Xingyu Ni, Bin Wang, Michael G. Christiansen, Stavros Stavrakis, Juho S. Lintuvuori, Baoquan Chen, Andrew deMello, Simone Schuerle
    Communications Engineering 3, Article 7. January 2024.

  8. SIGGRAPH Asia
    Xingqiao Li*, Xingyu Ni*, Bo Zhu, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 42, 6, Article 192. December 2023.

  9. SIGGRAPH
    Xuwen Chen, Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 41, 4, Article 61. July 2022.

  10. SIGGRAPH Asia
    Yuchen Sun*, Xingyu Ni*, Bo Zhu, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 40, 6, Article 205. December 2021.

  11. SIGGRAPH
    Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen
    ACM Transactions on Graphics (TOG) 39, 4, Article 29. August 2020.

  12. Baoquan Chen, Mingyi Shi, Xingyu Ni, Liangwang Ruan, Hongda Jiang, Heyuan Yao, Mengdi Wang, Zhenhua Song, Qiang Zhou, Tong Ge
    International Journal of Educational Excellence 6, 1, 95–114. March 2020.

Teaching

  • 2024/03–2024/07  Instructor of GAMES001: Mathematics in Computer Graphics (Online, 🇨🇳)
  • 2022/09–2023/01  Teaching Assistant of Introduction to Visual Computing and Interaction (Peking University, 🇨🇳)
  • 2022/02–2022/06  Teaching Assistant of Introduction to Visual Computing (Peking University, 🇨🇳)
  • 2019/02–2019/06  Teaching Assistant of Study and Practice on Topics of Frontier Computing (II) (Peking University, 🇨🇳)

Honors and Awards

Education

Work Experience