About Me

I am currently a Ph.D. student in the Digital Medical Research Center, School of Basic Medical Science at Fudan University (also with the Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention), specializing in Biomedical Engineering.

My research focuses on computational pathology, medical image analysis, multimodal information fusion and data mining. I have published over 30 papers in internationally recognized academic conferences such as NeurIPS, CVPR, ICCV, ECCV, AAAI, MICCAI, and journals such as IEEE TMI, IEEE JBHI, IEEE TCSVT, Information Fusion, Modern Pathology, American Journal of Pathology, Expert Systems With Applications, with more than 15 of them as the first author.

Additionally, I have served as a regular reviewer for reputable international conferences such as ICLR, NeurIPS, CVPR, ICCV, ECCV, AAAI, MICCAI, ACM MM, as well as journals including IEEE TPAMI, Information Fusion, IEEE TNNLS, IEEE JBHI, IEEE TIP, IEEE TMM, and IEEE TCSVT. ( Google Scholar )

News

Representative Publications

Medical Image Analysis

Technical Research

• 

  The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

  Linhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song

  Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
  papercode
• 

  Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

  Linhao Qu, Xiaoyuan Luo, Manning Wang, Zhijian Song

  Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS, Spotlight Presentation in TOP 5%), 2022.
  papercode
• 

  Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification

  Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, and Xiaosong Wang

  European Conference on Computer Vision (ECCV), 2024.
  papercode
• 

  Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification

  Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song

  International Conference of Computer Vision (ICCV), 2023.
  papercode
• 

  Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

  Linhao Qu, Dan Huang, Shaoting Zhang, and Xiaosong Wang

  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
  papercode
• 

  DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

  Linhao Qu, Xiaoyuan Luo, Shaolei Liu, Manning Wang, Zhijian Song

  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.
  papercode
• 

  Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

  Linhao Qu, Yingfan Ma, Xiaoyuan Luo, Qinhao Guo, Manning Wang, Zhijian Song

  IEEE Transactions on Circuits and Systems for Video Technology (IF=8.4), 2024.
  papercode
• 

  OpenAL: An Efficient Deep Active Learning Framework for Open-Set Histopathology Image Classification

  Linhao Qu, Yingfan Ma, Zhiwei Yang, Manning Wang, Zhijian Song

  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  papercode

Clinical Cooperation

• 

  Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in with Histopathological Images

  Qinhao Guo, Linhao Qu (All technical design and implementation), Jun Zhu, Haiming Li, Yong Wu, Simin Wang, Min Yu, Jiangchun Wu, Hao Wen, Xingzhu Ju, Xin Wang, Rui Bi, Yonghong Shi, and Xiaohua Wu

  Modern Pathology (IF=7.5), 2023.
  papercode
• 

  Advancing Automatic Gastritis Diagnosis: An Interpretable Multilabel Deep Learning Framework for the Simultaneous Assessment of Multiple Indicators

  Mengke Ma, Xixi Zeng, Linhao Qu (All technical design and implementation), Xia Sheng, Hongzheng Ren, Weixiang Chen, Bin Li, Qinghua You, Li Xiao, Yi Wang, Mei Dai, Boqiang Zhang, Changqing Lu, Weiqi Sheng, and Dan Huang

  The American Journal of Pathology (IF=6.0), 2024.
  papercode

Information Fusion

Technical Research

• 

  Rethinking Multi-Exposure Image Fusion with Extreme and Diverse Exposure Levels: A Robust Framework Based on Fourier Transform and Contrastive Learning

  Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song

  Information Fusion (IF=18.6), 2022.
  papercode
• 

  TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

  Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song

  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
  papercode
• 

  Trans2Fuse: Empowering Image Fusion through Self-supervised Learning and Multi-Modal Transformations via Transformer Networks

  Linhao Qu, Shaolei Liu, Manning Wang, Shiman Li, Siqi Yin, Zhijian Song

  Expert Systems With Applications (IF=8.5), 2023.
  paper code
• 

  AIM-MEF: Multi-Exposure Image Fusion Based on Adaptive Information Mining in Both Spatial and Frequency Domains

  Linhao Qu, Siqi Yin, Shaolei Liu, Xiaoyu Liu, Manning Wang, Zhijian Song

  Expert Systems With Applications (IF=8.5), 2023.
  papercode

Topic Survey

• 

  Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis [Invited topical review]

  Linhao Qu, Siyu Liu, Xiaoyu Liu, Manning Wang, Zhijian Song

  Physics in Medicine & Biology (IF=3.5), 2022.
  DOIpaper
• 

  Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation

  Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song

  Biomedical Engineering Online (IF=3.9).
  papercode

Awards

• Academic Pioneer of Fudan University, 2024.04
• National Scholarship (First Prize), 2023.09
• First Prize, The 2nd China Journal of Graphic Arts Graduate Forum (Medical Image Processing Forum) Keynote Report, 2022.10
• Academic Scholarship, Fudan University, 2021.09
• Xianghui Scholarship, Fudan University, 2020.09
• Outstanding Graduates, Shandong Province, China, 2020.06
• Outstanding Undergraduate Thesis, Ocean University of China, 2020.06
• National Scholarship, Ocean University of China, 2017.09 and 2019.09
• National First Prize, China Undergraduate Mathematical Contest in Modeling, 2018.09

Key services

• Reviewers:
• Conference: ICLR, NeurIPS, CVPR, ICCV, ECCV, AAAI, MICCAI, ACM MM
• Journal: IEEE TPAMI (IF=20.8), Information Fusion (IF=17.564), IEEE TNNLS (IF=10.4), IEEE JBHI (IF=7.7), , IEEE TIP (IF=10.8), IEEE TMM (IF=8.182), IEEE TCSVT (IF=8.5), ESWA (IF=8.5), Neurocomputing (IF=6.0)
• Executive President of Student Union, School of Basic Medicine, Fudan University
• Member of the First Student Committee of the China MICS (Medical Imaging Computing Seminar, MICS). [MICS]
• Branch Leader (Computational Pathology) of AI TIME, Tsinghua University. [AI TIME]