I am a third-year PhD at Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng degree from the same university. I have published several papers on prestigious venues, e.g., CVPR, ICLR, AAAI, JBHI, NeurIPS and MICCAI, one of which is selected as CVPR 2023 Highlight (2.5% of submissions). I serve as the reviewer of CVPR, ECCV, ICCV, NeurIPS, AAAI, MICCAI, etc. I was awarded Bosch 2021 AIOT scholarship (50 recipients worldwide) and MICCAI 2019 Undergraduate Student Travel Award. I also host MICCAI 2020 RibFrac Challenge as organizer.

My research interests center around 3D vision, neural rendering and shape analysis. Currently, I have been primarily investigating neural rendering and 3D reconstruction.

• FreqPCR: [CVPR 2023 Highlight (10% of accepted papers)] Frequency-Modulated Point Cloud Rendering with Easy Editing
• RadianceMapping: [AAAI 2023] Boosting Point Clouds Rendering via Radiance Mapping
• AudioEar: [AAAI 2023] AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio
• RASF: [ICLR 2023] Representation-Agnostic Shape Fields
• ACSConv: [IEEE JBHI] Reinventing 2D Convolutions for 3D Images

• Uncertainty Quantification: [ArXiv] Evaluating and Boosting Uncertainty Quantification in Classification
• RibFrac: [MICCAI Challenge] A challenge for rib fracture detection and classification

• Kickstart: Study route for learners in machine learning / deep learning / computer vision
• Crawling-CV-Conference-Papers: Crawling CV/AI conference papers with Python.
• Pytorch-Template: A PyTorch codebase for developing AI projects