Shuquan (Lillie) Ye

All Publications Back to Homepage

^* Equal contribution; ^# corresponding author.

• 
  Do MLLMs Exhibit Human-like Perceptual Behaviors? HVSBench: A Benchmark for MLLM Alignment with Human Perceptual Behavior

  Jiaying Lin^*, Shuquan Ye^*, Dan Xu, Wanli Ouyang, Rynson W.H. Lau.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Findings).
  project arxiv

• 
  From Static Spectra to Operando Infrared Dynamics: Physics Informed Flow Modeling and a Benchmark

  Shuquan Ye, Ben Fei, Hongbin Xu, Jiaying Lin, Wanli Ouyang.
  arXiv Preprint.
  arxiv

• 
  OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding

  Youjun Zhao, Jiaying Lin, Shuquan Ye, Qianshi Pang, Rynson W.H. Lau.
  Fortieth Conference AAAI Conference on Artificial Intelligence (AAAI), 2026.
  arxiv code and data Zhihu

• 
  Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection

  Jiaying Lin^*, Yuen-Hei Yeung^*, Shuquan Ye^#, Rynson W.H. Lau.
  Thirty-Ninth Conference AAAI Conference on Artificial Intelligence (AAAI), 2025.
  project arxiv
  ^#Corresponding author

• 
  Learning a Single Network for Robust Medical Image Segmentation With Noisy Labels

  Shuquan Ye, Yan Xu, Dongdong Chen, Songfang Han, Jing Liao.
  IEEE Transactions on Medical Imaging (TMI), 2024
  paper

• 
  Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

  Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight).
  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

• 
  Exemplar-Based 3D Portrait Stylization

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

• 
  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