Continuous rotation invariant local descriptors for texton dictionary-based texture classification. - Jun Zhang 018; Heng Zhao 001; Jimin Liang (Comput. Vis. Image Underst., 2013)

Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds. - Jun Zhang 018; Jimin Liang; Heng Zhao 001 (IEEE Trans. Image Process., 2013)

Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. - Zuoyong Li; Le An; Jun Zhang 018; Li Wang 026; James J. Xia; Dinggang Shen (MLMI, 2015)

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. - Jun Zhang 018; Yaozong Gao; Li Wang 026; Zhen Tang; James J. Xia; Dinggang Shen (MICCAI (3), 2015)

Scale invariant texture representation based on frequency decomposition and gradient orientation. - Jun Zhang 018; Jimin Liang; Chunhui Zhang; Heng Zhao 001 (Pattern Recognit. Lett., 2015)

A new shape prior model with rotation invariance. - Chunhui Zhang; Jimin Liang; Jun Zhang 018; Heng Zhao 001 (Pattern Recognit. Lett., 2015)

3D Object Retrieval with Multimodal Views. - Yue Gao 002; Weizhi Nie; Anan Liu; Yuting Su 001; Qionghai Dai; Le An; Fuhai Chen; Liujuan Cao; Shuilong Dong; Yu De; Zan Gao; Jiayun Hao; et al. (3DOR@Eurographics, 2016)

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. - Le An; Ehsan Adeli 001; Mingxia Liu 001; Jun Zhang 018; Dinggang Shen (MICCAI (2), 2016)

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. - Mingxia Liu 001; Jun Zhang 018; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2016)

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2016)

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. - Jun Zhang 018; Mingxia Liu 001; Le An; Yaozong Gao; Dinggang Shen (MCV/BAMBI@MICCAI, 2016)

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. - Xiaofeng Zhu 001; Kim-Han Thung; Jun Zhang 018; Dinggang Shen (MLMI@MICCAI, 2016)

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. - Jun Zhang 018; Yaozong Gao; Li Wang 026; Zhen Tang; James J. Xia; Dinggang Shen (IEEE Trans. Biomed. Eng., 2016)

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. - Jun Zhang 018; Yue Gao 002; Yaozong Gao; Brent C. Munsell; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Deformable Image Registration Based on Similarity-Steered CNN Regression. - Xiaohuan Cao; Jianhua Yang 005; Jun Zhang 018; Dong Nie; Minjeong Kim; Qian Wang 001; Dinggang Shen (MICCAI (1), 2017)

Efficient Groupwise Registration for Brain MRI by Fast Initialization. - Pei Dong; Xiaohuan Cao; Jun Zhang 018; Minjeong Kim; Guorong Wu 001; Dinggang Shen (MLMI@MICCAI, 2017)

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (MICCAI (3), 2017)

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. - Jun Zhang 018; Mingxia Liu 001; Li Wang 026; Si Chen; Peng Yuan 001; Jianfu Li; Steve Guo-Fang Shen; Zhen Tang; Ken-Chung Chen; James J. Xia; Dinggang Shen (MICCAI (2), 2017)

Hypergraph regularized sparse feature learning. - Mingxia Liu 001; Jun Zhang 018; Xiaochun Guo; Liujuan Cao (Neurocomputing, 2017)

Auroral event representation based on the n-ary fusion of multiple oriented energies. - Jun Zhang 018; Qian Wang 019; Zejun Hu; Mingxia Liu 001 (Neurocomputing, 2017)

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. - Mingxia Liu 001; Jun Zhang 018; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2017)

Multi-view texture classification using hierarchical synthetic images. - Jun Zhang 018; Jimin Liang; Haihong Hu (Multim. Tools Appl., 2017)

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks. - Jun Zhang 018; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Image Process., 2017)

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. - Jun Zhang 018; Mingxia Liu 001; Le An; Yaozong Gao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2017)

Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. - Jun Zhang 018; Elizabeth Hope Cain; Ashirbani Saha; Zhe Zhu; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. - Jun Zhang 018; Sujata V. Ghate; Lars J. Grimm; Ashirbani Saha; Elizabeth Hope Cain; Zhe Zhu; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. - Jun Zhang 018; Ashirbani Saha; Zhe Zhu; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Breast cancer molecular subtype classification using deep features: preliminary results. - Zhe Zhu; Ehab Albadawy; Ashirbani Saha; Jun Zhang 018; Michael R. Harowicz; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. - Zhe Zhu; Michael R. Harowicz; Jun Zhang 018; Ashirbani Saha; Lars J. Grimm; Eun-Sil Shelley Hwang; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2018)

Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. - Jun Zhang 018; Ashirbani Saha; Brian J. Soher; Maciej A. Mazurowski (CoRR, 2018)

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. - Chunfeng Lian; Jun Zhang 018; Mingxia Liu 001; Xiaopeng Zong; Sheng-Che Hung; Weili Lin; Dinggang Shen (Medical Image Anal., 2018)

Landmark-based deep multi-instance learning for brain disease diagnosis. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (Medical Image Anal., 2018)

Multi-task neural networks for joint hippocampus segmentation and clinical score regression. - Liang Cao; Long Li; Jifeng Zheng; Xin Fan; Feng Yin; Hui Shen; Jun Zhang 018 (Multim. Tools Appl., 2018)

Guest Editorial: Large-scale 3D Multimedia Analysis and Applications. - Sicheng Zhao; Jun Zhang 018; Yi Zhen (Multim. Tools Appl., 2018)

Deformable Image Registration Using a Cue-Aware Deep Regression Network. - Xiaohuan Cao; Jianhua Yang 005; Jun Zhang 018; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. - Chuang Niu; Jun Zhang 018; Qian Wang 019; Jimin Liang (IEEE Trans. Geosci. Remote. Sens., 2018)

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. - Mingxia Liu 001; Jun Zhang 018; Dong Nie; Pew-Thian Yap; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2018)

Particle Swarm Loss for Lightweight Object Detection. - Peizhen Zhang; Feng Zheng; Junlong Du; Jun Zhang 018; Xiaowei Guo; Wei-Shi Zheng 001 (ICME, 2019)

Deep learning for identifying radiogenomic associations in breast cancer. - Zhe Zhu; Ehab Albadawy; Ashirbani Saha; Jun Zhang 018; Michael R. Harowicz; Maciej A. Mazurowski (Comput. Biol. Medicine, 2019)

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. - Zhe Zhu; Michael R. Harowicz; Jun Zhang 018; Ashirbani Saha; Lars J. Grimm; Eun-Sil Shelley Hwang; Maciej A. Mazurowski (Comput. Biol. Medicine, 2019)

Multimedia analysis for medical applications. - Jun Zhang 018; Mingxia Liu 001; Yi Zhen (Multim. Syst., 2019)

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. - Jun Zhang 018; Ashirbani Saha; Zhe Zhu; Maciej A. Mazurowski (IEEE Trans. Medical Imaging, 2019)

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. - Yu Zhao 009; Fan Yang 081; Yuqi Fang; Hailing Liu; Niyun Zhou; Jun Zhang 018; Jiarui Sun; Sen Yang 006; Bjoern H. Menze; Xinjuan Fan; Jianhua Yao 001 (CVPR, 2020)

GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. - Chuang Niu; Jun Zhang 018; Ge Wang 001; Jimin Liang (ECCV (25), 2020)

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. - Shizhen Zhao; Changxin Gao; Jun Zhang 018; Hao Cheng 012; Chuchu Han; Xinyang Jiang; Xiaowei Guo; Wei-Shi Zheng 001; Nong Sang; Xing Sun 001 (ECCV (6), 2020)

Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. - Donglin Di; Shengrui Li; Jun Zhang 018; Yue Gao 002 (MICCAI (5), 2020)

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. - Haocheng Shen; Kuan Tian; Pei Dong; Jun Zhang 018; Kezhou Yan; Shannon Che; Jianhua Yao 001; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. - Kuan Tian; Jun Zhang 018; Haocheng Shen; Kezhou Yan; Pei Dong; Jianhua Yao 001; Shannon Che; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Microscope Based HER2 Scoring System. - Jun Zhang 018; Kuan Tian; Pei Dong; Haocheng Shen; Kezhou Yan; Jianhua Yao 001; Junzhou Huang; Xiao Han 011 (CoRR, 2020)

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. - Jun Zhang 018; Mingxia Liu 001; Li Wang 026; Si Chen; Peng Yuan 001; Jianfu Li; Steve Guo-Fang Shen; Zhen Tang; Ken-Chung Chen; James J. Xia; Dinggang Shen (Medical Image Anal., 2020)

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. - Chunfeng Lian; Mingxia Liu 001; Jun Zhang 018; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. - Mingxia Liu 001; Jun Zhang 018; Chunfeng Lian; Dinggang Shen (IEEE Trans. Cybern., 2020)

High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR. - Jun Zhang 018; Xiangyuan Xu; Zhifei Chen; Ming Bao; Xiao-Ping Zhang 002; Jianhua Yang 005 (IEEE Trans. Signal Process., 2020)

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. - Zhen Chen 013; Jun Zhang 018; Shuanlong Che; Junzhou Huang; Xiao Han 011; Yixuan Yuan (AAAI, 2021)

Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. - Siqi Yang 001; Jun Zhang 018; Junzhou Huang; Brian C. Lovell; Xiao Han 011 (AAAI, 2021)

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (BIBM, 2021)

Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification. - Jiaxing Chen; Xinyang Jiang; Fudong Wang 001; Jun Zhang 018; Feng Zheng; Xing Sun 001; Wei-Shi Zheng 001 (CVPR, 2021)

Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. - Guanyu Cai; Jun Zhang 018; Xinyang Jiang; Yifei Gong; Lianghua He; Fufu Yu; Pai Peng; Xiaowei Guo; Feiyue Huang; Xing Sun 001 (ICCV, 2021)

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. - Hang Li; Fan Yang 081; Xiaohan Xing; Yu Zhao 009; Jun Zhang 018; Yueping Liu; Mengxue Han; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. - Hang Li; Fan Yang 081; Yu Zhao 009; Xiaohan Xing; Jun Zhang 018; Mingxuan Gao; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Junzhou Huang; Wei Yang 032; Xiao Han 011 (MICCAI (8), 2021)

Sk-Unet Model with Fourier Domain for Mitosis Detection. - Sen Yang 006; Feng Luo; Jun Zhang 018; Xiyue Wang (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search. - Chenyang Gao; Guanyu Cai; Xinyang Jiang; Feng Zheng; Jun Zhang 018; Yifei Gong; Pai Peng; Xiaowei Guo; Xing Sun 001 (CoRR, 2021)

Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. - Guanyu Cai; Xinyang Jiang; Jun Zhang 018; Yifei Gong; Lianghua He; Pai Peng; Xiaowei Guo; Xing Sun 001 (CoRR, 2021)

Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. - Jun Zhang 018; Zhiyuan Hua; Kezhou Yan; Kuan Tian; Jianhua Yao 001; Eryun Liu; Mingxia Liu 001; Xiao Han 011 (Medical Image Anal., 2021)

Group-Wise Learning for Aurora Image Classification With Multiple Representations. - Jun Zhang 018; Mingxia Liu 001; Ke Lu 002; Yue Gao 002 (IEEE Trans. Cybern., 2021)

Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation. - Junwei Liang 001; He Zhu; Enwei Zhang; Jun Zhang 018 (CVPR Workshops, 2022)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

SoccerNet 2022 Challenges Results. - Silvio Giancola; Anthony Cioppa; Adrien Deliège; Floriane Magera; Vladimir Somers; Le Kang; Xin Zhou 024; Olivier Barnich; Christophe De Vleeschouwer; Alexandre Alahi; Bernard Ghanem; Marc Van Droogenbroeck; et al. (MMSports@MM, 2022)

A Transformer-based System for Action Spotting in Soccer Videos. - He Zhu; Junwei Liang 001; Chengzhi Lin; Jun Zhang 018; Jianming Hu (MMSports@MM, 2022)

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. - Yuting Gao; Jinfeng Liu 007; Zihan Xu; Jun Zhang 018; Ke Li 015; Rongrong Ji; Chunhua Shen (NeurIPS, 2022)

Multi-dataset Training of Transformers for Robust Action Recognition. - Junwei Liang 001; Enwei Zhang; Jun Zhang 018; Chunhua Shen (NeurIPS, 2022)

Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. - Chengzhi Lin; Ancong Wu; Junwei Liang 001; Jun Zhang 018; Wenhang Ge; Wei-Shi Zheng 001; Chunhua Shen (NeurIPS, 2022)

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. - Xiyue Wang; Jinxi Xiang; Jun Zhang 018; Sen Yang 006; Zhongyi Yang; Ming-Hui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (NeurIPS, 2022)

Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (Bioinform., 2022)

CoNIC Solution. - Wenhua Zhang; Jun Zhang 018 (CoRR, 2022)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. - Yuting Gao; Jinfeng Liu 007; Zihan Xu; Jun Zhang 018; Ke Li 015; Chunhua Shen (CoRR, 2022)

Multitarget Tracking Based on Dynamic Bayesian Network With Reparameterized Approximate Variational Inference. - Wenqiong Zhang; Jun Zhang 018; Ming Bao; Xiao-Ping Zhang 002; Xiaodong Li 002 (IEEE Internet Things J., 2022)

Transformer-based unsupervised contrastive learning for histopathological image classification. - Xiyue Wang; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2022)

PFVNet: A Partial Fingerprint Verification Network Learned From Large Fingerprint Matching. - Zhiyuan He; Jun Zhang 018; Liaojun Pang; Eryun Liu (IEEE Trans. Inf. Forensics Secur., 2022)

Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. - Donglin Di; Jun Zhang 018; Fuqiang Lei; Qi Tian 001; Yue Gao 002 (IEEE Trans. Image Process., 2022)

Conditional Feature Learning Based Transformer for Text-Based Person Search. - Chenyang Gao; Guanyu Cai; Xinyang Jiang; Feng Zheng; Jun Zhang 018; Yifei Gong; Fangzhou Lin; Xing Sun 001; Xiang Bai (IEEE Trans. Image Process., 2022)

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. - Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Xiyue Wang; Wei Yang 032; Junzhou Huang; Wenping Wang; Xiao Han 011 (IEEE Trans. Medical Imaging, 2022)

DOA Estimation for Heterogeneous Wideband Sources Based on Adaptive Space-Frequency Joint Processing. - Jun Zhang 018; Ming Bao; Xiao-Ping Zhang 002; Zhifei Chen; Jianhua Yang 005 (IEEE Trans. Signal Process., 2022)

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. - Sen Yang 006; Tao Shen; Yuqi Fang; Xiyue Wang; Jun Zhang 018; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Genom. Proteom. Bioinform., 2022)

RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. - Boxuan Zhao; Jun Zhang 018; Deheng Ye; Jian Cao; Xiao Han 011; Qiang Fu 016; Wei Yang 032 (AAAI, 2023)

Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. - Jinxi Xiang; Jun Zhang 018 (ICLR, 2023)

MIMT: Masked Image Modeling Transformer for Video Compression. - Jinxi Xiang; Kuan Tian; Jun Zhang 018 (ICLR, 2023)

Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. - Chen Shen; Jun Zhang 018; Xinggong Liang; Zeyi Hao; Kehan Li 005; Fan Wang 023; Zhenyuan Wang; Chunfeng Lian (MICCAI (6), 2023)

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. - Yue Lv; Jinxi Xiang; Jun Zhang 018; Wenming Yang; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (ACM Multimedia, 2023)

Graph-Based Self-Learning for Robust Person Re-identification. - Yuqiao Xian; Jinrui Yang; Fufu Yu; Jun Zhang 018; Xing Sun 001 (WACV, 2023)

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. - Jinxi Xiang; Xiyue Wang; Xinran Wang; Jun Zhang 018; Sen Yang 006; Wei Yang 032; Xiao Han 011; Yueping Liu (Comput. Biol. Medicine, 2023)

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. - Fei Kong; Jinxi Xiang; Xiyue Wang; Xinran Wang; Meng Yue; Jun Zhang 018; Sen Yang 006; Junhan Zhao; Xiao Han 011; Yuhan Dong; Yueping Liu (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. - Hu Ye; Jun Zhang 018; Sibo Liu; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. - Fei Shen; Hu Ye; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Effortless Cross-Platform Video Codec: A Codebook-Based Method. - Kuan Tian; Yonghang Guan; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. - Feng Luo; Jinxi Xiang; Jun Zhang 018; Xiao Han 011; Wei Yang 032 (CoRR, 2023)

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. - Xiyue Wang; Yuexi Du; Sen Yang 006; Jun Zhang 018; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. - Xiyue Wang; Jun Zhang 018; Sen Yang 006; Jingxi Xiang; Feng Luo; Minghui Wang; Jing Zhang 051; Wei Yang 032; Junzhou Huang; Xiao Han 011 (Medical Image Anal., 2023)

Merging nucleus datasets by correlation-based cross-training. - Wenhua Zhang; Jun Zhang 018; Xiyue Wang; Sen Yang 006; Junzhou Huang; Wei Yang 032; Wenping Wang; Xiao Han 011 (Medical Image Anal., 2023)

CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. - Xiyue Wang; Yuqi Fang; Sen Yang 006; Delong Zhu; Minghui Wang; Jing Zhang 051; Jun Zhang 018; Jun Cheng 003; Kai-Yu Tong; Xiao Han 011 (Neurocomputing, 2023)

Markov chain-based frequency correlation processing algorithm for wideband DOA estimation. - Jun Zhang 018; Ming Bao; Zhifei Chen; Jing Zhao; Hong Hou; Jianhua Yang 005 (Signal Process., 2023)

High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. - Shengrui Li; Yining Zhao; Jun Zhang 018; Ting Yu 004; Ji Zhang 001; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DOA Tracking Algorithm Based on AVS Pseudo-Smoothing for Coherent Acoustic Targets. - Jun Zhang 018; Ming Bao; Jianhua Yang 005; Zhifei Chen; Hong Hou (IEEE Trans. Aerosp. Electron. Syst., 2023)

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. - Fei Shen; Hu Ye; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Yang Wei (ICLR, 2024)

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. - Jinxi Xiang; Ricong Huang; Jun Zhang 018; Guanbin Li; Xiao Han 011; Yang Wei (ICLR, 2024)

Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph. - Yang Xu; Yifan Feng 001; Jun Zhang 018; Jun-Hai Yong; Yue Gao 002 (NeurIPS, 2024)

Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval. - Yang Xu; Yifan Feng 001; Jun Zhang 018; Jun-Hai Yong; Yue Gao 002 (NeurIPS, 2024)

Ensembling Diffusion Models via Adaptive Feature Aggregation. - Cong Wang 034; Kuan Tian; Yonghang Guan; Jun Zhang 018; Zhiwei Jiang 001; Fei Shen; Xiao Han 011; Qing Gu 001; Wei Yang 032 (CoRR, 2024)

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. - Cong Wang 034; Kuan Tian; Jun Zhang 018; Yonghang Guan; Feng Luo; Fei Shen; Zhiwei Jiang 001; Qing Gu 001; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. - Fei Shen; Hu Ye; Sibo Liu; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Wei Yang 032 (CoRR, 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. - Fei Shen; Hu Ye; Sibo Liu; Jun Zhang 018; Cong Wang 034; Xiao Han 011; Yang Wei (AAAI, 2025)

Ensembling Diffusion Models via Adaptive Feature Aggregation. - Cong Wang 034; Kuan Tian; Yonghang Guan; Fei Shen; Zhiwei Jiang 001; Qing Gu 001; Jun Zhang 018 (ICLR, 2025)

NAPG: Neighborhood-Assisted Multiprototype Group Model for Cross-Domain Semantic Segmentation of Remote Sensing Images. - Rongbo Fan; Jialin Xie; Junmin Liu; Jun Zhang 018; Yan Zhang 109; Hong Hou; Jianhua Yang 005 (IEEE Trans. Geosci. Remote. Sens., 2025)

Low-Frequency Sound Source Localization Algorithm for Small-Aperture AVSA Under Nonuniform Noise Scenarios. - Jun Zhang 018; Bin Liang 001; Jianhua Yang 005; Hong Hou (IEEE Trans. Instrum. Meas., 2025)