Educational Background：

• Feb 2023 - Oct 2023: New York University, Computer Science, Remote Visiting Student (Full-time)
• Sep 2019 - Aug 2023: City University of Hong Kong, Computer Science, PhD Degree (Full-time)
• Sep 2015 - Apr 2019: South China University of Technology, Computer Science and Technology (Elite Program), B.Eng. (Full-time)

Work Experience：

• Mar 2026 - Present: AI for Science and Engineering Center, Shenzhen Loop Area Institute, Assistant Professor
• Sept 2025 - Feb 2026: The Chinese University of Hong Kong, Postdoctoral Researcher (w/ Prof. Wanli Ouyang)
• Oct 2023 - Feb 2025: City University of Hong Kong, Research Fellow & Postdoctoral Researcher (w/ Prof. Rynson W.H. Lau)
• Aug 2022 - Nov 2022: Microsoft Research, Redmond, Research Intern (w/ Dr. Dongdong Chen, Yujia Xie, Yichong Xu)

Shuquan (Lillie) Ye, PhD, is an Assistant Professor at the AI for Science and Engineering Center, Shenzhen Loop Area Institute. She received her PhD in Computer Science from City University of Hong Kong in 2023, advised by Prof. Jing Liao, and her B.Eng. from South China University of Technology. She was a visiting student at New York University and conducted postdoctoral research at City University of Hong Kong and The Chinese University of Hong Kong. Her research focuses on AI4S, computer vision and machine learning, with emphasis on multimodal AI, 3D perception, and medical image analysis. She has published in top venues including IEEE TPAMI, TMI, TVCG, CVPR, ICCV, and AAAI. Collaborations and outstanding student applications are welcome.

Representative Publications：

[1] S. Ye, Y. Xu, D. Chen, S. Han, J. Liao, "Learning A Single Network for Robust Medical Image Segmentation with Noisy Labels", IEEE Trans. on Medical Imaging (TMI, JCR Q1), 2024

[2] S. Ye, D. Chen, S. Han, J. Liao, "Robust Point Cloud Segmentation with Noisy Annotations", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI, CCF A, JCR Q1, IF: 24.314), 2022

[3] S. Ye, Y. Xie, D. Chen, Y. Xu, L. Yuan, C. Zhu, J. Liao, "Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles", CVPR (CCF A), 2023 [Highlight Paper, 2.6% acceptance rate]

[4] S. Ye, D. Chen, S. Han, J. Liao, "Learning with Noisy Labels for Robust Point Cloud Segmentation", ICCV (CCF A), 2021 [Oral Presentation, 3.4% acceptance rate]

[5] S. Ye, D. Chen, S. Han, J. Liao, "3D Question Answering", IEEE Trans. on Visualization and Computer Graphics (TVCG, CCF A, JCR Q1), 2022

[6] F. Han*, *S. Ye (*joint first authors), M. He, M. Chai, J. Liao, "Exemplar-Based 3D Portrait Stylization", TVCG (CCF A, JCR Q1), 2021

[7] S. Ye, D. Chen, S. Han, Z. Wan, J. Liao, "Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud", TVCG (CCF A, JCR Q1), 2021

[8] Y. Zhao, J. Lin, S. Ye, Q. Pang, R. Lau, "OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding", AAAI (CCF A), 2026

[9] F. Liu, Y. Liu, K. Xu, S. Ye, G.P. Hancke, R. Lau, "Language-Guided Salient Object Ranking", CVPR (CCF A), 2025

[10] J. Lin*, Y.H. Yeung*, S. Ye# (corresponding author), R. Lau, "Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection", AAAI (CCF A), 2025

Research Awards：

1. 2023: Postgraduate Studentship (Non-UGC funds), City University of Hong Kong
2. 2022: Research Tuition Scholarship, City University of Hong Kong
3. 2021: Research Tuition Scholarship, City University of Hong Kong
4. 2020: Postgraduate Studentship (UGC-allocated funds and TA Scheme), City University of Hong Kong
5. 2019: Postgraduate Studentship (UGC-related research projects), City University of Hong Kong
6. 2017, 2018: Student Scholarship, South China University of Technology
7. 2017, 2018: Merit Student, South China University of Technology