Zhongwei Qiu

Zhongwei Qiu

Alibaba DAMO Academy

About Me

Biography

Zhongwei Qiu is currently working as an algorithm expert at Alibaba DAMO Academy, working closely with Dr. Yingda Xia and Dr. Ling Zhang on Medical Multimodal Large Language Models (Medical LLMs, LVLMs), and the applications on Cancer Analysis (Screening, Diagnosis, Prognosis, etc.). He has worked with Dr. Le Lu on Pathology Image Analysis.

Zhongwei Qiu is also a Postdoctoral Researcher, working with Prof. Fei Wu, at the College of Computer Science and Technology, Zhejiang University.

He received his Ph.D. degree from the University of Science and Technology Beijing (USTB), supervised by Prof. Dongmei Fu, co-supervised by Dr. Jianlong Fu from Microsoft Research Asia (MSRA). Before that, he received his B.S. degree in Automation from USTB in 2018. He was a visiting researcher at the University of Sydney (USYD) from July 2022 to July 2023, supervised by Dr. Chang Xu.

🔥🔥🔥 We’re hiring! Looking for self-motivated research interns. Let’s have fun together! Email me !!! (qiuzhongwei.qzw@alibaba-inc.com)

Research Interests

I have published more than 20 papers at the top international CV/AI journals & conferences such as Nature Medicine, TPAMI, CVPR, ICCV, ECCV, and NeurIPS.

  • Algorithm R&D
    • Medical Visual Foundation Models
    • Large Vision-Language Models
    • Multimodal Learning & Pre-training
  • Industrial Application & Commercialization: Applying AI, especially the aforementioned foundation models, to healthcare and scientific research—including tumor analysis, cancer screening, diagnosis, treatment planning, and prognosis.

👨‍💼 Work Experience

  • 2023 - present, Algorithm Expert (Alibaba Top Talent Program: AliStar 2023), DAMO Academy, Alibaba Group, Hangzhou, China.
  • 2023 - present, Postdoctoral Researcher, College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
  • 2021 - 2023, Research Intern, Baidu VIS, Beijing, China.
  • 2018 - 2021, Research Intern (2x Star of Tomorrow), Microsoft Research Asia, Beijing, China.

🎓︎ Educations

  • 2022.07 - 2023.08, Visiting PhD Scholar, The University of Sydney, Sydney, Australia.
  • 2018.06 - 2024.01, Ph.D. student in Control Science and Engineering, University of Science and Technology Beijing, Beijing China.
  • 2014.09 - 2018.06, Bachelor of Engineering in Automation, University of Science and Technology Beijing, Beijing China.

🔥 News

  • 2025.06:  🎉🎉🎉 🔥🔥🔥 Our work [AI-based large-scale screening of gastric cancer from noncontrast CT imaging] is published on Nature Medicine !!! This work represents the first successful demonstration and marks the beginning of large-scale cancer screening for hollow organs (e.g., the stomach) using AI models based on non-contrast CT scans.
  • 2025.06:  🎉🎉🎉 Pixel-Mamba is accepted by ICCV 2025.

📝 Publications

  • TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis

    Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. MOK, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang.

    preprint

  • OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

    Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng LU, Yueting Zhuang, Yingda Xia, Ling Zhang, Beng Chin Ooi.

    preprint

  • From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer

    Zijiang Yang, Zhongwei Qiu, Tiancheng Lin, Hanqing Chao, Wanxing Chang, Yelin Yang, Yunshuo Zhang, Wenpei Jiao, Yixuan Shen, Wenbin Liu, Dongmei Fu, Dakai Jin, Ke Yan, Le Lu, Hui Jiang, Yun Bian.

    preprint

  • AI-based large-scale screening of gastric cancer from noncontrast CT imaging

    Can Hu, Yingda Xia, Zhilin Zheng, Zhongwei Qiu, ….

    Nature Medicine[paper]

  • Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis

    Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu.

    ICCV 2025[paper]

  • Knowledge graph information bottleneck enhanced molecular representation learning

    Jiaxin Dai, Dongmei Fu, Zhongwei Qiu, Lingwei Ma, Dawei Zhang.

    Neural Networks [paper]

  • Multi-scale contrastive adaptor learning for segmenting anything in underperformed scenes

    Ke Zhou, Zhongwei Qiu, Dongmei Fu.

    Neurocomputing [paper]

  • Gaussian-Based Swap Operator for Context-Aware Extraction of Building Boundary Vectors

    Moule Lin, Weipeng Jing, Weitao Zou, Zhongwei Qiu, Chao Li.

    TGRS [paper]

  • MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field

    Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu.

    TVCG [paper]

  • Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective

    Meijun Wang, Yu Meng, Zhongwei Qiu, Chao Zheng, Yan Xu, Xiaorui Peng, Jiao Gao.

    NeurIPS 2024 [paper]

  • IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

    Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang

    MICCAI 2024 [paper]

  • HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

    Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang.

    NeurIPS 2023 [paper]

  • Stable Diffusion is Unstable

    Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu.

    NeurIPS 2023 [paper]

  • PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers

    Zhongwei Qiu, Yang Qiansheng, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang

    CVPR 2023 [paper]

  • Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge

    Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

    Pattern Recognition [paper]

  • Learning Degradation-robust Spatiotemporal Frequency-Transformer for Video Super-Resolution

    Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu

    TPAMI [paper] [code]

  • DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks

    Zijiang Yang, Zhongwei Qiu, Dongmei Fu

    AAAI 2023 [paper] [code]

  • Learning spatiotemporal frequency-transformer for compressed video super-resolution

    Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu

    ECCV 2022 [paper] [code]

  • IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation

    Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

    ACM MM 2022 oral [paper]

  • Dynamic Graph Reasoning for Multi-person 3D Pose Estimation

    Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

    ACM MM 2022 [paper]

  • DGCN: Dynamic graph convolutional network for efficient multi-person pose estimation

    Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

    AAAI 2020 [paper]

  • Learning recurrent structure-guided attention network for multi-person pose estimation

    Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu

    ICME 2019 oral [paper]

🛠 Projects

  • AI Coach for freestyle skiing, work with XiaoIce at MSRA.
  • Video Super-Resolution, work at MSRA. The technology of FTVSR has been shipped to Microsoft Edge Browser.

🎖 Honors and Awards

  • 2023.11 Scholarship from Baosteel Education Foundation
  • 2023.05 CVPR 2023 Student Scholarship, CVPR
  • 2022.12 Scholarship from Zenith Steel Group
  • 2022.12 Star of Academic, University of Science and Technology Beijing
  • 2022.12 Excellent Graduate Student, University of Science and Technology Beijing
  • 2022.10 ECCV 2022 Student Scholarship, ECCV
  • 2022.10 ACM Multimedia 2022 Student Scholarship, ACM Multimedia
  • 2021.12 Star of Tomorrow, Microsoft Research Asia
  • 2021.02 Star of Tomorrow, Microsoft Research Asia
  • 2019.12 Silver Medal (10/1300+) in RSNA Intracranial Hemorrhage Detection, RSNA-Kaggle
  • 2018.09 The 2nd place of ChinaMM 2018 JD AI Fashion-Challenge, JD.com
  • 2018.06 Excellent Graduation Thesis, University of Science and Technology Beijing
  • 2018.06 Outstanding Graduate, University of Science and Technology Beijing

💬 Invited Talks

  • 2022.10, “IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation” at ACM Multimedia 2022 (online), Lisbon, Portugal.
  • 2019.07, “Learning recurrent structure-guided attention network for multi-person pose estimation” at ICME 2019, Shanghai, China.

📖 Academic Service

Conference Reviewer

  • ICCV: 2025
  • ICLR: 2025, 2024
  • CVPR: 2025, 2024, 2023
  • ICML: 2025, 2024, 2023
  • NeurIPS: 2025, 2023, 2022
  • ACM MM: 2025, 2023, 2022, 2021
  • AAAI: 2025, 2024, 2023
  • MICCAI: 2025, 2024
  • ICASSP: 2023
  • ICME: 2023,2022,2021,2020,2019

Journal Reviewer

  • TPAMI, TVCG, TMM, TCSVT