TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning. - Linhao Qu; Shaolei Liu; Manning Wang; Zhijian Song (AAAI, 2022)

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification. - Linhao Qu; Xiaoyuan Luo; Shaolei Liu; Manning Wang; Zhijian Song (MICCAI (2), 2022)

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification. - Linhao Qu; Xiaoyuan Luo; Manning Wang; Zhijian Song (NeurIPS, 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)

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)

Wavelet-based self-supervised learning for multi-scene image fusion. - Shaolei Liu; Linhao Qu; Qin Qiao; Manning Wang; Zhijian Song (Neural Comput. Appl., 2022)

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 (AAAI, 2023)

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification. - Linhao Qu; Zhiwei Yang; Minghong Duan; Yingfan Ma; Shuo Wang 011; Manning Wang; Zhijian Song (ICCV, 2023)

OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification. - Linhao Qu; Yingfan Ma; Zhiwei Yang; Manning Wang; Zhijian Song (MICCAI (2), 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 001; Manning Wang; Zhijian Song (NeurIPS, 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)

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)

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)

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, 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., 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, 2023)

Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution. - Minghong Duan; Linhao Qu; Shaolei Liu; Manning Wang (BMVC, 2024)

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation. - Zhiwei Yang; Kexue Fu 001; Minghong Duan; Linhao Qu; Shuo Wang 011; Zhijian Song (CVPR, 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 001; Xiaosong Wang 001 (ECCV (11), 2024)

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. - Linhao Qu; Dan Huang; Shaoting Zhang 001; Xiaosong Wang 001 (MICCAI (5), 2024)

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification. - Kexue Fu 001; Xiaoyuan Luo; Linhao Qu; Shuo Wang 011; Ying Xiong; Ilias Maglogiannis; Longxiang Gao; Manning Wang (NeurIPS, 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 (CIS-RAM, 2024)

Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework. - Linhao Qu; Qiuye Jin; Kexue Fu 001; Manning Wang; Zhijian Song (Biomed. Signal Process. Control., 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 004; Zhijian Song (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)

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)

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)

POS-BERT: Point cloud one-stage BERT pre-training. - Kexue Fu 001; Peng Gao 007; Shaolei Liu; Linhao Qu; Longxiang Gao; Manning Wang (Expert Syst. Appl., 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., 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, 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., 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., 2024)

Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations. - Dingkang Yang; Mingcheng Li; Linhao Qu; Kun Yang 010; Peng Zhai; Song Wang 002; Lihua Zhang (IEEE Trans. Circuits Syst. Video Technol., 2024)

FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation. - Zijiang Liu; Xiaoyu Liu; Linhao Qu; Yonghong Shi (Neurocomputing, 2025)

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision. - Linhao Qu; Shiman Li; Xiaoyuan Luo; Shaolei Liu; Qinhao Guo; Manning Wang; Zhijian Song (CoRR, 2025)

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment. - Lubin Gan; Jing Zhang; Linhao Qu; Yijun Wang; Siying Wu; Xiaoyan Sun 001 (CoRR, 2025)