Researcher
Baidu Inc.
Email
Google
Scholar
Linkedin
I am a senior researcher at Baidu VIS. We are actively looking for interns to work on 3D AIGC, please
send me
an email if you are interested. I previously worked at Tencent Autonomous Driving (2020-2022). I
received my
Ph.D. degree from Graphics and Geometric Computing Group, Department of Computer Science and Technology,
Tsinghua University in 2020. I visited 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.
Publications
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TexOct: Generating Textures of 3D Models with Octree-based Diffusion
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 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]
IEEE International Conference on Robotics and Automation (ICRA), 2024
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Understanding In-Context Learning from Repetitions
[pdf]
International Conference on Learning Representations (ICLR), 2024
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DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes
[pdf]
Arxiv Preprint, 2023
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NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering
[pdf]
[code]
Arxiv Preprint, 2023
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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]
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Carpentry Compiler
[pdf]
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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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Services
Reviewer for Journals: IEEE Transactions on Robotics, Computer&Graphics, Additive Manufacturing, Advances in Manufacturing, etc.Reviewer for Conferences: SIGGRAPH (Asia), ICCV, ECCV, WACV, ACL, ICRA, IROS, etc.
