I’m currently a Ph.D. student at City University of Hong Kong (CityU) supervised by Dr. LIAO Jing. Before that, I obtained my B.Eng. degree in Computer Science and Technology (Innovation Class) at South China University of Technology. I have broad interests in computer vision and computer graphics, especially point cloud/3D geometry/scene/image processing and analysis, learning strategies for point cloud/segmentation/label noise, multi-modality(3D/vision+natural language) learning, transformers and pretraining, and the list is still growing.

I will be seeking job opportunity starting in 2023 Fall. If you think I’m a good fit, please contant me via shuquan.ye@gmail.com.

Education

• 08/2019 ~ 08/2023 (expected): PhD student, Department of Computer Science, City University of Hong Kong.
• 09/2015 ~ 07/2019: Computer Science and Technology (Innovation Class), South China University of Technology.

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao.
arxiv, 2022.
[project] [arxiv] [code]

Robust Point Cloud Segmentation with Noisy Annotations

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022 IF: 24.314.
[project] [paper] [code]

3D Question Answering

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao.
IEEE Transactions on Visualization and Computer Graphics (TVCG, CCF A, JCR Q1) 2022.
[project] [early access] [arxiv] [code and dataset] [talks]with 2000 audiences

Exemplar-Based 3D Portrait Stylization

Shuquan Ye^#, Fangzhou Han^#, Mingming He, Menglei Chai, Jing Liao.
IEEE Transactions on Visualization and Computer Graphics (TVCG, CCF A, JCR Q1) 2021.
[project] [paper] [code]
^#Equal Contribution

Learning with Noisy Labels for Robust Point Cloud Segmentation

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao.
International Conference on Computer Vision (ICCV) 2021, (Oral).
[project] [paper] [code]

Meta-PU An Arbitrary-Scale Upsampling Network for Point Cloud

Shuquan Ye, Dongdong Chen, Songfang Han, Ziyu Wan, Jing Liao.
IEEE Transactions on Visualization and Computer Graphics (TVCG, CCF A, JCR Q1), 2021.
[paper] [code]

Coherence and Identity Learning for Arbitrary-length Face Video Generation

Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He.
International Conference on Pattern Recognition (ICPR), 2020.
[paper]

Two-dimensional-reduction Random Forest

Shuquan Ye, Zhiwen Yu, Jiaying Lin, Kaixiang Yang, Dan Dai, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang.
International Conference on Information Science and Technology (ICIST), (Oral), 2018.
[paper]

Journal Reviewing:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
• ACM Transactions on Graphics (TOG).
• IEEE Transactions on Visualization and Computer Graphics (TVCG).
• IEEE Transactions on Multimedia (TMM).
• International Journal of Computer Vision (IJCV).
• IEEE Journal of Biomedical and Health Informatics (JBHI).
• Pattern Recognition.
• International Journal of Applied Earth Observation and Geoinformation (JAG).
• IEEE Access.
• IEEE Geoscience and Remote Sensing Letters (GRSL).
• Computational and Mathematical Methods in Medicine.

Conference Reviewer:

• CVPR 2023, CVPR 2022, ECCV 2022.

Teaching Assistant at CityU

• Database System (CS3402)

Awards

• Research Tuition Scholarship, City University of Hong Kong, 2022 - 2023
• Research Tuition Scholarship, City University of Hong Kong, 2021 - 2022
• Postgraduate Scholarship, City University of Hong Kong, 2019 - 2022
• Student Scholarship, South China University of Technology, 2015 - 2019
• Elite Student Program, South China University of Technology (Top 0.4%), 2015 - 2019

Album
Special thanks to Jiaying Lin.