Linhao Qu

According to our database, Linhao Qu authored at least 35 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations.

Dingkang Yang, Mingcheng Li, Linhao Qu, Kun Yang, Peng Zhai, Song Wang, Lihua Zhang

IEEE Trans. Circuits Syst. Video Technol., December, 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 Trans. Circuits Syst. Video Technol., October, 2024

Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation.

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

Neural Comput. Appl., April, 2024

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis.

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

IEEE J. Biomed. Health Informatics, February, 2024

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 Syst. Appl., February, 2024

POS-BERT: Point cloud one-stage BERT pre-training.

Kexue Fu, Peng Gao, Shaolei Liu, Linhao Qu, Longxiang Gao, Manning Wang

Expert Syst. Appl., 2024

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics.

Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Linhao Qu, Zizhi Chen, Lihua Zhang

CoRR, 2024

Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution.

Minghong Duan, Linhao Qu, Shaolei Liu, Manning Wang

CoRR, 2024

FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation.

Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi

CoRR, 2024

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification.

Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, Manning Wang

CoRR, 2024

MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning.

Minghao Han, Linhao Qu, Dingkang Yang, Xukun Zhang, Xiaoying Wang, Lihua Zhang

CoRR, 2024

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation.

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

CoRR, 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

CoRR, 2024

Towards Arbitrary-Scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework via Implicit Self-texture Enhancement.

Minghong Duan, Linhao Qu, Zhiwei Yang, Manning Wang, Chenxi Zhang, Zhijian Song

CoRR, 2024

Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework.

Linhao Qu, Qiuye Jin, Kexue Fu, Manning Wang, Zhijian Song

Biomed. Signal Process. Control., 2024

Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach.

Linhao Qu, Chengsheng Zhang, Guihui Li, Haiyong Zheng, Chen Peng, Wei He

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

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

Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, Xiaosong Wang

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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 Trans. Medical Imaging, December, 2023

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 Syst. Appl., August, 2023

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

Inf. Fusion, April, 2023

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

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

CoRR, 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

CoRR, 2023

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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Wavelet-based self-supervised learning for multi-scene image fusion.

Shaolei Liu, Linhao Qu, Qin Qiao, Manning Wang, Zhijian Song

Neural Comput. Appl., 2022

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.

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

CoRR, 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

CoRR, 2022

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

Linhao Qu, Xiaoyuan Luo, Manning Wang, Zhijian Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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 Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022