Zhengzhe Liu

Assistant Professor

School of Data Science
Lingnan University
Hong Kong, China

Email: liuzhengzhelzz [at] gmail.com

Biography

I am an assistant professor at Lingnan University (Hong Kong). Before that, I was a postdoctoral associate at Carnegie Mellon University. I obtained my PhD degree from Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK), supervised by Prof. Chi-Wing Fu. I got MPhil from The Chinese University of Hong Kong and Bachelor from Shanghai Jiao Tong University (SJTU). My research interest includes Computer Graphics, Embodied AI, Generative AI, and Computer Vision.
I am hiring Ph.D. students and Research Assistants. I’m also open to collaborating in flexible ways.

If you are interested in working with me with flexible start dates, please do not hesitate to drop me an email!

Experience

Carnegie Mellon University, Pittsburgh, United States

2024

Postdoctoral Research Associate
Adobe Research, San Jose, United States

2023.7~2023.10

Research Intern
Topic: Scene Decomposition and Diffusion Models

Selected Publications [Google Scholar]

*: equal contribution, †: corresponding author

COS3D: Collaborative Open-Vocabulary 3D Segmentation
Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu, Qianyi Wu, Weiliang Tang, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu
Neural Information Processing Systems (NeurIPS), 2025.
Aligning Proteins and Language: A Foundation Model for Protein Retrieval
Qifeng Wu, Zhengzhe Liu, Han Zhu, Yizhou Zhao, Daisuke Kihara, Min Xu
IEEE Conference on Computer Vision and pattern Recognition Workshop on Multimodal Foundation Models for Biomedicine: Challenges and Opportunities (CVPRW), 2025.
WonderVerse: Extendable 3D Scene Generation with Video Generative Models
Hao Feng*, Zhi Zuo*, Jia-Hui Pan, Ka-Hei Hui, Yihua Shao, Qi Dou, Wei Xie†, Zhengzhe Liu†
Preprint, 2025.
How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation Approach
Chirui Chang, Jiahui Liu Zhengzhe Liu, Xiaoyang Lyu, Yi-Hua Huang, Xin Tao, Pengfei Wan, Di ZHANG, Xiaojuan Qi
IEEE International Conference on Computer Vision (ICCV), 2025.
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting
Runsong Zhu, Shi Qiu, Zhengzhe Liu, Ka-Hei Hui, Qianyi Wu, Pheng-Ann Heng, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2025.
Zero-shot 3D-Aware Text-driven Talking Avatar Generation
Xiuzhe Wu, Yang-Tian Sun, Handi Chen, Hang Zhou, Jingdong Wang, Zhengzhe Liu, Xiaojuan Qi
European Conference on Computer Vision (ECCV), 2024.
Object-level Scene Deocclusion
Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu
SIGGRAPH, 2024.
[Project page]
CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization
Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao (Richard) Zhang, Chi-Wing Fu
SIGGRAPH, 2024.
Make-A-Shape: a Ten-Million-scale 3D Shape Model
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu
International Conference on Machine Learning (ICML), 2024.
[Project page]
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu
SIGGRAPH Asia (Journal Track), 2023.
ACM Transactions on Graphics (TOG), 2023,
[Code] [Project page]
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration
Jingyu Hu*, Ka-Hei Hui*, Zhengzhe Liu, Hao (Richard) Zhang, Chi-Wing Fu
SIGGRAPH Asia, 2023.
Texture Generation on 3D Meshes with Point-UV Diffusion
Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu† (†: Corresponding author), Xiaojuan Qi
IEEE International Conference on Computer Vision (ICCV) Oral , 2023.
[Project page]
DreamStone : Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Code] [Project page]
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu*, Ka-Hei Hui*, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
ACM Transactions on Graphics (TOG), 2023.
MGFN++: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Weibin Kou, Wilton Fok, Zhengzhe Liu†, Xiaojuan Qi, Yik-Chung Wu† (†: Corresponding author)
Preprint, 2023.
Command-driven Articulated Object Understanding and Manipulation
Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2023.
[Code]
ISS : Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
International Conference on Learning Representations (ICLR) Spotlight , 2023.
[Code]
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
Book chapter in the book “Deep Learning for 3D Vision: Algorithms and Applications”, edited by Xiaoli Li, Xulei Yang, and Hao Su. World Scientific, 2023
[DOI] World Scientific Annual Review of Artificial Intelligence, 2024 (Invited paper) [Code]
MGFN : Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton Fok, Xiaojuan Qi, Yik-Chung Wu
AAAI Conference on Artificial Intelligence (AAAI) Oral , 2023.
[Code]
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
Tianyu Wang, Xiaowei Hu, Zhengzhe Liu, Chi-Wing Fu
Neural Information Processing Systems (NeurIPS), 2022.
[Code]
Towards Implicit Text-Guided 3D Shape Generation
Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2022.
[Code]
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation
Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2022.
[Code]
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education
Zhengzhe Liu, Lei Pang, Xiaojuan Qi.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), Oral (4.3% acceptance rate) , 2021.
[Code]
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
IEEE Conference on Computer Vision and pattern Recognition (CVPR), 2021.
[Code][Video]
Global Texture Enhancement for Fake Face Detection in the Wild
Zhengzhe Liu, Xiaojuan Qi, Philip H.S. Torr.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Code]
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
Xiaojuan Qi*, Zhengzhe Liu*, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Code][Training data]
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis
Xiaojuan Qi*, Zhengzhe Liu*, Qifeng Chen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Self-Boosted Gesture Interactive System with ST-Net
Zhengzhe Liu , Xiaojuan Qi, Lei Pang.
ACM Multimedia Conference (ACM MM), 2018.
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation
Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
[Code][Training data]
Augmented Feedback in Semantic Segmentation under Image Level Supervision
Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2016.