Publications

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2025

• AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance.
  Zhao Wang*, Hao Wen*, Lingting Zhu, Chenming Shang, Yujiu Yang, Qi Dou.
  arXiv, 2025.
  [paper] [project] [code]

• Large Images are Gaussians: High-quality Large Image Representation with Levels of 2D Gaussian Splatting.
  Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu.
  The Association for the Advancement of Artificial Intelligence (AAAI), 2025.
  [paper] [code]

• Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.
  Zhao Wang, Chang Liu, Lingting Zhu, Tongtong Wang, Shaoting Zhang, and Qi Dou.
  IEEE Journal of Biomedical and Health Informatics (JBHI, IF: 7.7), 2025.
  [paper] [code]

2024

• CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects.
  Zhao Wang, Aoxue Li, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li.
  arXiv, 2024.
  [paper] [project]

• Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space.
  Yuan Wang*, Zhao Wang*, Junhao Gong*, Di Huang, Tong He, Wanli Ouyang, Jile Jiao, Xuetao Feng, Qi Dou, Shixiang Tang, Dan Xu.
  arXiv, 2024.
  [paper] [project] [code] [data]

• 3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation.
  Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou.
  Medical Image Analysis (MedIA, IF: 10.7), 2024.
  [paper] [code]

• Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray.
  Qiao Deng, Zhongzhen Huang, Yunqi Wang, Zhichuan Wang, Zhao Wang, Xiaofan Zhang, Qi Dou, YeungYu Hui, Edward Hui.
  arXiv, 2024.
  [paper]

• Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting.
  Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guyin Lin, Lequan Yu.
  International Conference on Medical Image Computing and Computer-Assisted Intervention, Embodied AI and Robotics for Healthcare Workshop (MICCAI EARTH), 2024.
  [paper] [code]

• Efficient Transferability Assessment for Selection of Pre-trained Detectors.
  Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou.
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  [paper]

2023

• Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
  Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou.
  British Machine Vision Conference (BMVC), 2023.
  [paper]

• Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train.
  Zhao Wang*, Chang Liu*, Shaoting Zhang, Qi Dou.
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  [paper] [code] (early accept)

• DeepKOA: A Deep-learning Model Predicts Progression in Knee Osteoarthritis Using Multimodal Magnetic Resonance Images from the Osteoarthritis Initiative.
  Jiaping Hu, Chuanyang Zheng, Qingling Yu, Lijie Zhong, Keyan Yu, Yanjun Chen, Zhao Wang, Bin Zhang, Qi Dou, Xiaodong Zhang.
  Quantitative Imaging in Medicine and Surgery (QIMS, IF: 4.63), 2023.
  [paper]

Before 2022

• Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients.
  Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama.
  International Conference on Learning Representations (ICLR), 2022.
  [paper] [code]

• Predicting Knee Osteoarthritis Progression with a interpretable Deep Learning Approach on Magnetic Resonance Imaging: data from the Osteoarthritis Initiative.
  Jiaping Hu*, Chuanyang Zheng*, Lijie Zhong, Keyan Yu, Yanjun Chen, Zhao Wang, Zhongping Zhang, Qi Dou, Xiaodong Zhang.
  International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition (ISMRM), 2022.
  [paper]

• Identification of Bone Marrow Lesions on Magnetic Resonance Imaging with Weakly Supervised Deep Learning.
  Jiaping Hu*, Zhao Wang*, Lijie Zhong, Keyan Yu, Yanjun Chen, Yingjie Mei, Qi Dou, Xiaodong Zhang.
  International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition (ISMRM), 2021.
  [paper]

• Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification.
  Zhao Wang, Quande Liu, Qi Dou.
  IEEE Journal of Biomedical and Health Informatics (JBHI, IF: 7.7), 2020.
  [paper] [code] (Ranking 22nd in Google Scholar Metrics)