1. Work on differentiable rendering showcased at NVIDIA GTC, presented by CEO Jensen Huang, and turned into an Omniverse product.
2. Work featured multiple times by Two Minute Papers channel, garnering millions of views (DIB-R, GET3D, NVdiffrec).
3. Structured light work won the ICCP 2021 Best Poster Award.
4. NLOS work exhibited at Princeton Art of Science Exhibition.
5. Published multiple papers at conferences such as ICCV 2025 and CVPR 2025.
Research Experience
Currently a tenure-track Assistant Professor at Wangxuan Institute of Computer Technology, Peking University, also affiliated with the Visual Computing and Learning Lab, collaborating closely with Prof. Baoquan Chen, Prof. Libin Liu, Prof. Mengyu Chu, and Prof. Pengshuai Wang. Before joining Peking University, he was a research scientist at NVIDIA Toronto AI Lab.
Education
Ph.D.: University of Toronto; Master's and Bachelor's: Shandong University
Background
Research interests: Computational Photography and 3D Vision. Professional field: Utilizing various imaging systems (such as digital camera, LiDAR, structured light, and SPAD) to perceive the world and predict its corresponding 3D attributes, such as 3D geometry, texture, surface material, and environment light. Particularly interested in differentiating imaging systems and embedding them within deep learning frameworks.
Miscellany
Actively looking for interns, Masters, and PhDs. Feel free to contact if interested in his research or potential collaborations.