Bio

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 industrial research scientist / engineer positions 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.

    Preprints

3D Question Answering

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao.
Arxiv, 2021. [arxiv]

    Selected Publications [All]

Exemplar-Based 3D Portrait Stylization

Shuquan Ye#, Fangzhou Han#, Mingming He, Menglei Chai, Jing Liao.
IEEE Transactions on Visualization and Computer Graphics (TVCG) 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), 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]

    Service

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 2022, ECCV 2022.

Teaching Assistant at CityU

  • Database System (CS3402)

    Misc

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.