Jingyi Pan

I am a third-year PhD student in Data Science and Analytics Thrust at HKUST(GZ), advised by Prof. Qiong Luo, and co-supervised by Prof. Xiaowen Chu and Prof. Dan Xu. I am currently working on 3D/Multimodal editing and perception.

Prior to that, I received my MPhil degree from HKUST(GZ), advised by Prof. Lin Wang. I received my B.Eng. degree from the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology.

Email / CV / Scholar / Github

Research

My research interests include 3D editing, multimodal scene understanding, and generative AI. I have worked on developing novel methods for 3D scene editing, inpainting, and semantic understanding using deep learning techniques.

	Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement Jingyi Pan, Qiong Luo, Dan Xu NeurIPS 2026 Accepted Adapting a 3D foundation model with unposed, masked inputs for feed-forward 3D scene inpainting.
	DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting Jingyi Pan, Qiong Luo, Dan Xu ICCV, 2025 project page / arXiv A versatile 3D inpainting pipeline that leverages diffusion models to consistently propagate appearance and geometry in a coarse-to-fine manner.
	Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction Jingyi Pan, Zipeng Wang, Lin Wang IEEE Robotics and Automation Letters, 2024 project page / arXiv / code NeRF-style implicit volume rendering helps LiDAR-camera feature fusion in 3D semantic occupancy prediction.
	Towards dynamic and small objects refinement for unsupervised domain adaptative nighttime semantic segmentation Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang IROS, 2024 project page / Arxiv Refining dynamic and small objects for unsupervised domain adaptive nighttime semantic segmentation.
	LUIE: Learnable physical model-guided underwater image enhancement with bi-directional unsupervised domain adaptation Jingyi Pan, Zeyu Duan, Jianghua Duan, Zhe Wang Neurocomputing, 2024 Representing a physical model of underwater image formation with a learnable neural network for underwater image enhancement.
	Evaluating rooftop PV’s impact on power supply-demand discrepancies in grid decarbonization Shihong Zhang, Jingyi Pan, Borong Lin, Yanxue Li, Mingxi Ji, Zhe Wang Nexus, 2024 A interdisciplinary framework that leverages computer vision and the Geographical Information System (GIS) to estimate the adoption rate of rooftop PV.

Teaching

Teaching Assistant, Applied Statistics - Spring 2023-24
Teaching Assistant, Machine Learning - Spring 2024-25

Source code from Jon Barron's personal website.