Linhao Qu

Linhao Qu

Ph.D. student of biomedical engineering in the School of Basic Medical Science, Fudan University

Biography

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, information fusion and data mining. I have published over 20 papers in internationally recognized academic conferences such as NeurIPS, ICCV, CVPR, 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 12 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, as well as journals including Information Fusion, IEEE TMM, IEEE JBHI, and IEEE TCSVT. (Google Scholar)

News

  • 05-06-24 One paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology (IF=8.4) !
  • 04-27-24 One paper has been accepted by American Journal of Pathology (top journal in Pathology, IF=6.0) !
  • 09-22-23 One paper has been accepted by NeurIPS 2023 (top conference in Machine Learning, CCF-A) !
  • 09-16-23 One paper has been accepted by IEEE Transactions on Medical Imaging (top journal in Medical Image Processing IF=10.3) !
  • 08-28-23 One paper has been accepted by Expert Systems With Applications (IF=8.5) !
  • 08-27-23 One paper has been accepted by Modern Pathology (top journal in Pathology, IF=7.5) !
  • 07-17-23 One paper has been accepted by ICCV 2023 (top conference in Computer Vision, CCF-A) !
  • 06-24-23 One paper has been accepted by MICCAI 2023 (top conference in Medical Image Processing, CCF-B) !
  • 05-11-23 One paper has been accepted by La radiologia medica (IF=8.9) !
  • 03-16-23 One paper has been accepted by Expert Systems With Applications (IF=8.5) !
  • 12-02-22 One paper has been accepted by Information Fusion (top journal in Information Fusion IF=18.6) !
  • 11-21-22 One paper has been accepted by AAAI 2023 (top conference in Artificial Intelligence, CCF-A) !
  • 09-15-22 One paper has been accepted by NeurIPS 2022, Spotlight Presentation in TOP 5% (top conference in Machine Learning, CCF-A) !
  • 09-09-22 An invited topical review has been accepted by Physics in Medicine & Biology (IF=3.5) !
  • 06-03-22 One paper has been accepted by MICCAI 2022 (top conference in Medical Image Processing, CCF-B) !
  • 12-01-21 One paper has been accepted by AAAI 2022 (top conference in Artificial Intelligence, CCF-A) !

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. (CCF-A) [paper] [code]

  • 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. (CCF-A) [paper] [code]

  • 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. (CCF-A) [paper] [code]

  • 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. (CCF-B) [paper] [code]

  • 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. [paper] [code]

  • 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. (CCF-B) [paper] [code]

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. [paper] [code]

  • 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.

Image 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. [paper] [code]

  • 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. (CCF-A) [paper] [code]

  • 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. (CCF-C) [paper]

  • 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. (CCF-C) [paper] [code]

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. [DOI] [paper]

  • 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). [paper]

Honors & 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 Bachelor’s 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

Regular Reviewer

  • ICLR
  • NeurIPS
  • CVPR
  • ICCV
  • AAAI
  • ECCV
  • MICCAI
  • ACM MM
  • Information Fusion (IF=17.564)
  • IEEE Transactions on Multimedia (IF=8.182)
  • IEEE Transactions on Circuits and Systems for Video Technology (IF=8.5)
  • NEUROCOMPUTING (IF=6.0)

Major Academic Talks

  • AI TIME Academic talk “AI+ Computational Pathology: From State-of-the-art Technology to Clinical Applications” [Link]
  • AI TIME NeurIPS 2022 Special Session Keynote. [Link]
  • The 2nd China Journal of Graphic Arts Graduate Forum (Medical Image Processing Forum) Keynote Report. [Link]
  • AI TIME AAAI 2022 Special Session Keynote. [Link]

Other Key Service

  • Executive President of Student Union, School of Basic Medicine, Fudan University
  • Member of the 1st Student Committee of the China MICS (Medical Imaging Computing Seminar, MICS).[MICS]
  • Branch Leader of AI TIME.[AI TIME]

Publications

2024

  • 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. [paper] [code]

  • 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.

  • Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
    Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang*, Zhijian Song* The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024. (CCF-A) [paper]

2023

  • 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. (CCF-A) [paper] [code]

  • 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. (CCF-A)

  • 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. (CCF-B) [paper]

  • 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.[paper] [code]

  • 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. (CCF-C) [paper]

  • 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. (CCF-C) [paper] [code]

  • Label Correlation Transformer for Automated Chest X-ray Diagnosis with Reliable Interpretability
    Zexuan Sun#, Linhao Qu# (Main technical design and implementation), Jiazheng Luo, Zhijian Song*, Manning Wang*
    La radiologia medica (IF=8.9), 2023. [paper]

  • A Structure-aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation
    Shaolei Liu#, Siqi Yin#, Linhao Qu, Manning Wang*, Zhijian Song*
    IEEE Transactions on Medical Imaging (IF=10.3), 2023.

  • Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis
    Xiaoyuan Luo#, Linhao Qu, Qinhao Guo, Zhijian Song*, Manning Wang*
    IEEE Journal of Biomedical and Health Informatics (IF=7.7), 2023.[paper]

2022

  • 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. (CCF-A) [paper] [code]

  • 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. [paper] [code]

  • 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. (CCF-A) [paper] [code]

  • 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. (CCF-B) [paper] [code]

  • 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. [DOI] [paper]

  • Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
    Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang*, Zhijian Song*
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF-A) [paper]

  • Wavelet-based self-supervised learning for multi-scene image fusion
    Shaolei Liu#, Linhao Qu# (Main technical design and implementation), Manning Wang*, Zhijian Song*
    Neural Computing and Applications (IF=6.0), 2022. (CCF-C) [paper] [code]

  • Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning
    Yucong Meng#, Haoran Wang#, Chuanfu Wu#, Xiaoyu Liu, Linhao Qu, Yonghong Shi*
    Brain Sciences (IF=3.3), 2022. [paper]

Preprint

2023

  • Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
    Linhao Qu#, Minghong Duan#, Zhiwei Yang, Manning Wang*, Zhijian Song*
    arXiv preprint arXiv:2304.04238, 2023. [paper]

2022

  • TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning
    Linhao Qu#, Shaolei Liu#, Manning Wang, Shiman Li, Siqi Yin, Qin Qiao*, Zhijian Song*
    arXiv preprint arXiv:2201.07451, 2022. [paper]

CCF refers to the ‘List of recommended academic conferences and journals of China Computer Federation’. [CCF]
# refers to multiple first authors and * refers to multiple corresponding authors.