Scholar
Jingsen Zhu
Google Scholar ID: 2mXwwxwAAAAJ
Cornell University
Citations & Impact
Citations
158
H-index
4
i10-index
4
Publications
10
Co-authors
0
Publications
Resume
Academic Achievements
- Paper 'Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling' accepted by ICLR 2025 (Jan 2025)
- Paper 'FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion' conditionally accepted by SIGGRAPH Asia 2023 (Conference Track) (Aug 2023)
- Paper 'Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields' accepted by ICCV 2023 (Jul 2023)
- Paper 'I²-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs' accepted by CVPR 2023 (Feb 2023)
- Released InteriorVerse dataset (Jan 2023)
- Paper 'Hitchhiker: Accelerating ORAM with Dynamic Scheduling' accepted by IEEE Transactions on Computers (Sep 2022)
- Paper 'Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing' conditionally accepted by SIGGRAPH Asia 2022 (Conference Track) (Aug 2022)
- Zhejiang Provincial Outstanding Graduate Award, 2024
- National Scholarship (top 1%), 2023
- Outstanding Undergraduate Thesis Award, ZJU, 2021
- Outstanding Undergraduate Award, ZJU, 2021
- ‘Academic Star’ Honorary Title, CS Department of ZJU (10 out of 300+ students), 2020
- Ranked 1st in CS major GPA (1/154), 2020
- Zhejiang Province Scholarship, ZJU, 2018 and 2019
Background
- First-year Ph.D. student in Computer Science at Cornell University
- Research interests lie at the intersection of Machine Learning, Computer Graphics, and Computer Vision
- Recently interested in using Bayesian inference to model uncertainties in graphics/vision tasks (e.g., 3D reconstruction) and decision-making theory for planning under uncertainty
- Extensive research experience in 3D reconstruction, inverse rendering, neural rendering, and physics simulation
- Researched computer architecture and system security during undergraduate studies