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Resume (English only)
Academic Achievements
- Published approximately 20 academic papers in leading journals and conferences such as Nature Biomedical Engineering, Nature Communications, Light: Science & Applications, IEEE TPAMI, and CVPR
- Best Paper Award at SPIE Photonics West 2021
- Paper “Integrated lithium niobate photonics for sub-angstrom snapshot spectroscopy” accepted by Nature
- Paper “GBR: Generative Bundle Refinement for High-fidelity Gaussian Splatting with Enhanced Mesh Reconstruction” accepted by IEEE Trans. on CSVT
- Paper “DMDiff: Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography” accepted by ICCV 2025
- Paper “SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction” accepted by CVPR 2024
- Paper “Photonic neuromorphic architecture for tens-of-task lifelong learning” accepted by Light: Science & Applications
- Paper “Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning” accepted by Nature Communications
Research Experience
- Tenure-track Associate Professor at the Artificial Intelligence Institute, School of Computer Science, Shanghai Jiao Tong University
- Postdoctoral researcher in the Sigma lab, Department of Electronic Engineering, Tsinghua University
Education
- B.S. from the University of Science and Technology of China, 2014
- Ph.D. from the Hong Kong University of Science and Technology, 2020
Background
- Research Interests: Computational imaging, visual intelligence, hardware-software co-design, and opto-electronic co-optimization
- Professional Field: Computer vision, computational imaging, photoacoustic tomography, and optical computing
- Brief Introduction: Associate Professor at the Artificial Intelligence Institute, School of Computer Science, Shanghai Jiao Tong University. Previously a postdoctoral researcher in the Sigma lab, Department of Electronic Engineering, Tsinghua University. His research focuses on computational imaging with camera arrays, photoacoustic tomography for brain imaging, and optical computing.
Miscellany
- Personal Interests: Welcomes self-driven students interested in computational imaging, visual intelligence, AI + optics, etc.