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 GenAI, Multimodality, 3D Vision, 3D Generation, Computer Graphics, and AI4Science.
If you are interested in working with me with flexible start dates, please do not hesitate to drop me an email!

Selected Publications [Google Scholar]

*: equal contribution, †: corresponding author

• 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.
  

• 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.
  

• What Matters in Detecting AI-Generated Videos like Sora?
  Chirui Chang, Zhengzhe Liu, Xiaoyang Lyu, Xiaojuan Qi
  Preprint, 2024.
  

• 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†, Xiaojuan Qi† (†: Corresponding author)
  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 incoming book “ Towards Realistic 3D Deep Learning: Algorithms and Applications”, edited by Xiaoli Li, Xulei Yang, and Hao Su. World Scientific, 2023
  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.
  

Honors and Awards

CUHK Postgraduate Research Output Award 2023 (1 in Faculty of Engineering)
Microsoft Research Asia (MSRA) Fellowship Nomination Award 2022 (33 in Asia).
Shanghai Excellent Graduate Award
Meritorious Winner of MCM (Mathematical Contest in Modeling)
Excellent Student Scholarship for 3 times, Shanghai Jiao Tong University
Litian Tangren Scholarship (RMB 10,000)

Professional Activities

• Conference Review:
ACM SIGGRAPH Asia 2023.
International Conference on Machine Learning (ICML) 2024.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2022, 2021.
International Conference on Learning Representations (ICLR) 2023.
Neural Information Processing Systems (NeurIPS) 2023.
European Conference on Computer Vision (ECCV) 2022.
International Conference on Computer Vision (ICCV) 2025, 2023, 2021.
Association for the Advancement of Artificial Intelligence (AAAI) 2024, 2021.
ACM Multimedia (ACM MM) 2025.

• Journal Review:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
International Journal of Computer Vision (IJCV).
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
IEEE Transactions on Image Processing (TIP).
IEEE Transactions on Multimedia (TMM).
Pattern Recognition (PR).
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
IEEE Transactions on Intelligence Transportation Systems (TITS).
Computers in Biology and Medicine (CIBM).

• Invited Talk:
CVPR 2024. C3DV: 2nd Workshop On Compositional 3D Vision. 2024.6 [Link]
Multi-Modal Symposium 2024. 2024.4 [Link]
Carnegie Mellon University. Topic: Modeling and Creating the 3D World. 2023.10
ZhiDongXi (智東西) 以圖為梯——從文字到 3D 形狀生成. 2023.6 [Link][Video]
AI TIME: ICLR sharing session. 2023.6 [Video]
CVPR 2022 Workshop on ScanNet Indoor Scene Understanding Challenge. 2022.6 [Link][Video]

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
  

Teaching

CCC 8015 Generative Artificial Intelligence. Lecturer and Lab Instructor

CDS 3003. Machine Learning. Lecturer

CSCI 3170. Introduction to Database Systems. Teaching Assistant

ENGG 2020. Digital Logic and Systems. Teaching Assistant

CSCI 3180. Principles of Programming Languages. Teaching Assistant

CSCI 1580. Visual Programming. Teaching Assistant

ENGG 1100. Engineering and Design. Teaching Assistant