About Me
I am currently a senior researcher at Robotics X Lab, Tencent. I received my Ph.D. in Computer Science from City University of Hong Kong in 2025, under the supervision of Prof. Jing Liao. Before pursuing my doctoral studies in Hong Kong, I spent two years as a Ph.D. student specializing in pattern recognition at the School of Automation Science and Electrical Engineering, Beihang University (BUAA). Earlier, I earned my bachelor’s degrees in Engineering Mechanics and Business Administration (as a dual degree) from BUAA in 2018.
My research interests span machine learning, computer vision, computer graphics, large language models and robotics. Recently, my work has focused on 2D image editing; 3D/4D scene reconstruction, generation, and editing; as well as scene perception and interaction. I am also deeply interested in embodied intelligence and the development of world models that enable intelligent agents to navigate and interact effectively within complex environments.
If you would like to discuss research ideas or explore potential collaborations, please feel free to contact me.
Research Intern Recruitment
We are recruiting research interns specializing in 3D generation or scene perception. Candidates should have a solid research background in 3D reconstruction and recognition. We provide a top-tier research platform and cutting-edge exploratory projects.
Education
- PhD - Computer Science, City University of Hong Kong (2025)
- BS - Business Administration (dual degree), Beihang University (2018)
- BS - Engineering in Mechanics, Beihang University (2018)
Honors & Awards
- Outstanding Intern Award, Tencent RoboticsX Lab, 2025
- Research Tuition Scholarship, CityUHK, 2023
- Outstanding Academic Performance Award, CityUHK, 2022
- Outstanding Graduate Thesis Award, BUAA, 2018
- Model Student of Academic Records, BUAA, 2017
Recent News
We launched TAIROS, an open embodied AI platform for robotics applications
We present TAIROS, a comprehensive embodied AI platform that integrates multi-modal perception, long-horizon planning, and dexterous action capabilities into a unified modular architecture.
Successfully defended my doctoral dissertation
I successfully defended my PhD dissertation, "Improving 3D Reconstruction through Data Prior Exploration," and was awarded the PhD.
Paper Accepted to IEEE TCSVT
Our research paper, "HumanRef-GS: Image-to-3D Human Generation with Reference-Guided Diffusion and 3D Gaussian Splatting", has been accepted for publication in IEEE Transactions on Circuits and Systems for Video Technology.
Employment
Senior Researcher
Research Intern
Research Intern
Research Assistant
Research Intern
Publications
WordCraft: Interactive Artistic Typography with Attention Awareness and Noise Blending
Zhe Wang, Jingbo Zhang, Tianyi Wei, Can Wang, Wanchao Su
arXiv preprint arXiv:2401.17807, 2025
TAIROS: An Embodied AI Platform for Robotics Applications
Tencent Robotics X Team & Futian Laboratory, Shenzhen
TAIROS Technical Report, 2025
Generative object insertion in gaussian splatting with a multi-view diffusion model
Hongliang Zhong, Can Wang, Jingbo Zhang, Jing Liao
Visual Informatics, 2025
HumanRef-GS: Image-to-3D Human Generation With Reference-Guided Diffusion and 3D Gaussian Splatting
Jingbo Zhang, Xiaoyu Li, Hongliang Zhong, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Advances in 3D Generation: A Survey
Xiaoyu Li, Qi Zhang, Di Kang, Weihao Cheng, Yiming Gao, Jingbo Zhang, Zhihao Liang, Jing Liao, Yanpei Cao, Ying Shan
arXiv preprint arXiv:2401.17807, 2024
High-Fidelity and Efficient Pluralistic Image Completion With Transformers
Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion
Jingbo Zhang, Xiaoyu Li, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
Hongliang Zhong, Jingbo Zhang, Jing Liao
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
IEEE International Conference on Computer Vision (ICCV), 2023
High-Fidelity Pluralistic Image Completion with Transformers
Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao
IEEE International Conference on Computer Vision (ICCV), 2021
Patents
一种基于beta小波基函数展开的时变非线性系统快速辨识方法
Patent No: CN107967395A
Inventors: Yang Li, Jingbo Zhang, Weigang Cui, Song Xu, Qinglei Hu
一种基于多小波基函数展开的锋电位时变格兰杰因果准确辨识方法
Patent No: CN108509933A
Inventors: Yang Li, Daxin Hao, Jingbo Zhang
Teaching
Research Team
Our research team focuses on cutting-edge research in artificial intelligence, machine learning, and computer vision. The team consists of postdoctoral researchers, PhD students, and MS students, working together to advance AI technology development and applications.
Ming Li
Postdoctoral Researcher
Focuses on deep learning and computer vision research, published 15 papers in top-tier conferences including CVPR and ICCV.
Hua Wang
PhD Student (5th year)
Research interests in natural language processing and multi-modal learning, recipient of the 2023 Microsoft Research Fellowship.
Jing Chen
PhD Student (3rd year)
Specializes in graph neural networks and social network analysis, published 8 papers in conferences including ICLR and NIPS.
Yang Liu
PhD Student (2nd year)
Research focus on reinforcement learning and intelligent decision systems, recipient of Tsinghua University Excellence Scholarship.
Min Zhao
MS Student (2nd year)
Focuses on federated learning and privacy-preserving technologies, actively participates in multiple international collaboration projects.
Lei Sun
MS Student (1st year)
New team member with research interests in machine learning theory and algorithm optimization.
Team Achievements
Published Papers
Patents Granted
Major Awards
Research Funding