Jingsen Zhu

Jingsen Zhu

PhD Student @ Cornell University

Jingsen Zhu

I’m a CS Ph.D. student at Cornell University. Previously, I received my M.S. degree at the State Key Lab of CAD&CG, Zhejiang University, supervised by Prof. Rui Wang and Yuchi Huo. I was also honored to collaborate with Dr. Fujun Luan in Adobe Research. I received the B.Eng. degree at CS, ZJU in 2021. I was very lucky to do research with Prof. Kai Bu during my undergraduate years.

Research Interests

My research interests lie in the intersection between Machine Learning, Computer Graphics and Computer Vision. I’m recently interested in using Bayesian inference to model the uncertainties of graphics/vision tasks (like 3D reconstruction) and using decision-making theory for planning under uncertainty. I have extensive research experience in areas such as 3D reconstruction, inverse rendering, neural rendering, physics simulation, etc. I used to research computer architecture and system security during my undergraduate years.

News

  • [03/2026] 1 paper accepted by SIGGRAPH 2026 (Conference Track), details to be added.
  • [11/2025] 1 paper accepted by AAAI 2026, project page
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  • [01/2025] Our paper Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling is accepted by ICLR 2025! Project page
  • [08/2024] I've started my PhD journey at Cornell University!
  • [08/2023] Our paper FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion is conditionally accepted by SIGGRAPH Asia 2023 (Conference Track)! Visit the project page and arXiv!
  • [07/2023] Our paper Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields is accepted by ICCV 2023! Visit the project page!
  • [02/2023] Our paper I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs is accepted by CVPR 2023! Visit the project page!
  • [01/2023] Our dataset InteriorVerse has been released! Visit here to download!
  • [09/2022] Our paper Hitchhiker: Accelerating ORAM with Dynamic Scheduling is accepted by IEEE Transactions on Computers!
  • [08/2022] Our paper Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing is conditionally accepted by SIGGRAPH Asia 2022 (Conference Track)! Visit the project page!

    • Selected Honors and Awards

    • Qualcomm Innovation Fellowship finalist, 2025
    • Zhejiang Provincial Outstanding Graduate Award, 2024
    • China National Scholarship (top 1%), 2023
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  • Outstanding Undergraduate Award & Outstanding Undergraduate Thesis, ZJU, 2021
  • "Academic Star" Honorary Title of CS department of ZJU (10 candidates out of 300+ students), 2020
  • GPA rank 1st in CS major (1/154), 2020
  • Zhejiang Province Scholarship, ZJU, 2018 and 2019

    • Personal

    • I love rock and roll music
      • I missed the time when I played in the band🥺 I’m now in a band at Cornell, where I play BASS🎸
    • I enjoy playing table tennis (ping pong)🏓
    • I am a huge soccer (I actually prefer the British term football) fan, but I do not play soccer by myself 🫠
    • I love photography, especially ecological photography (birds, plants, flowers, insects, wildlife, etc.) and macro photography. I’m a fan of Olympus Micro Four Thirds (MFT) system.