Researcher
Baidu Inc.
Email
Google
Scholar
Linkedin
I am currently working at Baidu Inc.. We are actively looking for interns
to work on 3D AIGC and Reconstruction, please
send me
an email if you are interested. I previously worked at Tencent and
interned at AiFi Inc.. I
received my
Ph.D. degree from Graphics and Geometric Computing Group, Department of Computer Science and Technology,
Tsinghua University in 2020. I visited the Graphics and Imaging Lab, Paul G. Allen School of Computer Science
&
Engineering, University of Washington, Seattle in 2019. My research interest lies in computational design, 3D
content generation, and robotics.
Selected Publication
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Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human
Reconstruction from Monocular Videos
[pdf]
arXiv preprint, 2025
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GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization
[pdf]
arXiv preprint, 2025
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TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
[pdf]
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
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Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images
[pdf]
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
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VDG: Vision-Only Dynamic Gaussian for Driving Simulation
[pdf]
IEEE Robotics and Automation Letters (RA-L), 2025
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Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
[pdf]
IEEE International Conference on Robotics and Automation (ICRA), 2025
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DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes
[pdf]
IEEE International Conference on Robotics and Automation (ICRA), 2025
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XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis
[pdf]
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Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis
[pdf]
[project page]
International Conference on 3D Vision (3DV), 2025
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NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering
[pdf]
[code]
Journal of Computational Visual Media (CVM), 2025
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OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
[pdf]
[code]
Advances in Neural Information Processing Systems (NeurIPS), 2024
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GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time
[pdf]
[code]
European Conference on Computer Vision (ECCV), 2024
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HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes
[pdf]
European Conference on Computer Vision (ECCV), 2024
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DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes
[pdf]
[code]
IEEE Transactions on Automation Science and Engineering (TASE), 2024
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GauLoc: 3D Gaussian Splattingābased Camera Relocalization
[pdf]
[code]
Computer Graphics Forum (CGF), 2024
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HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown
Environments
Exploration
[pdf]
[code]
IEEE International Conference on Intelligent Robots and Systems (IROS), 2024
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TexOct: Generating Textures of 3D Models with Octree-based Diffusion
[pdf]
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Generating Material-Aware 3D Models from Sparse Views
[pdf]
[code]
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop PBDL, 2024
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LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object
Detection
[pdf]
IEEE International Conference on Robotics and Automation (ICRA), 2024
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HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM
[pdf]
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Understanding In-Context Learning from Repetitions
[pdf]
[code]
International Conference on Learning Representations (ICLR), 2024
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Digging into Depth Priors for Outdoor Neural Radiance Fields
[pdf]
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MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View
Simulation
[pdf]
[video]
IEEE International Conference on Intelligent Robots and Systems (IROS), 2023
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Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive
Learning
from Scores
[pdf]
[code]
IEEE International Conference on Intelligent Robots and Systems (IROS), 2023
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A Multi-Axis Robot-based Bioprinting System Supporting Natural Cell Function
Preservation
and Cardiac Tissue Fabrication
[pdf]
[video]
Bioactive Materials (Winner of the MEDTECH prize 2022), 2022
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Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial
Hypothesis
Space
[pdf]
[code]
Empirical Methods in Natural Language Processing (EMNLP), 2022
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Carpentry Compiler
[pdf]
[code]
ACM Transactions on Graphics (SIGGRAPH Asia), 2019
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Learning to Accelerate Decomposition for Multi-Directional 3D Printing
[pdf]
[code]
IEEE Robotics and Automation Letters (RA-L), 2020
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General Support-Effective Decomposition for Multi-Directional 3D Printing
[pdf]
[code]
IEEE Transactions on Automation Science and Engineering (TASE), 2019
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Plant Phenotyping by Deep-Learning-Based Planner for Multi-Robots
[pdf]
[video]
IEEE Robotics and Automation Letters (RA-L), 2019
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Energy-Efficient Coverage Path Planning for General Terrain Surfaces
[pdf]
IEEE Robotics and Automation Letters (RA-L), 2019
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Support-free Volume Printing by Multi-axis Motion
[pdf]
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Interactive Partitioning of 3D Models into Printable Parts
[pdf]
[dataset]
IEEE Computer Graphics and Applications (CGA), vol.38, no.4, July/August 2018
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RoboFDM: A Robotic System for Support-free Fabrication using FDM
[pdf]
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Delta DLP 3-D Printing of Large Models
[pdf]
IEEE Transactions on Automation Science and Engineering (TASE), 2017
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Delta DLP 3D Printing with Large Size
[pdf]
IEEE International Conference on Intelligent Robots and Systems (IROS), 2016
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Academic Service
Area Chair: ACMMM 2025