Jun Zhang - RankMe

139 papers A* 22A 2Journal 84Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DST-Net: A closed-loop dual-stream transformer with identity-guided video matting for visible-infrared person re-identification. Neurocomputing Yanze Zhu, Yumeng Wang, Rongbo Fan, Jun Zhang, Jianhua Yang
2025	A*	`conf`	Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. AAAI Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Yang Wei
2025	A*	`conf`	Ensembling Diffusion Models via Adaptive Feature Aggregation. ICLR Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang
2025	A*	`conf`	LLM-Primitives: Large Language Model for 3D Reconstruction with Primitives. SIGGRAPH Asia Kuan Tian, Zhihao Hu, Yonghang Guan, Jun Zhang
2025	J	`jnl`	Low-Frequency Sound Source Localization Algorithm for Small-Aperture AVSA Under Nonuniform Noise Scenarios. IEEE Trans. Instrum. Meas. Jun Zhang, Bin Liang, Jianhua Yang, Hong Hou
2025	J	`jnl`	NAPG: Neighborhood-Assisted Multiprototype Group Model for Cross-Domain Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Rongbo Fan, Jialin Xie, Junmin Liu, Jun Zhang, Yan Zhang, Hong Hou, Jianhua Yang
2025	J	`jnl`	Yan: Foundational Interactive Video Generation. CoRR Deheng Ye, Fangyun Zhou, Jiacheng Lv, Jianqi Ma, Jun Zhang, Junyan Lv, Junyou Li, Minwen Deng, Mingyu Yang, Qiang Fu, Wei Yang, Wenkai Lv, Yangbin Yu, Yewen Wang, Yonghang Guan, Zhihao Hu, Zhongbin Fang, Zhongqian Sun
2024	A*	`conf`	Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. ICLR Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei
2024	A*	`conf`	Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval. NeurIPS Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao
2024	J	`jnl`	Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. CoRR Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2024	J	`jnl`	Ensembling Diffusion Models via Adaptive Feature Aggregation. CoRR Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang
2024	A*	`conf`	Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph. NeurIPS Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao
2024	J	`jnl`	V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. CoRR Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang
2024	A*	`conf`	VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. ICLR Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei
2023	J	`jnl`	A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	J	`jnl`	Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. CoRR Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
2023	J	`jnl`	Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Comput. Biol. Medicine Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu
2023	J	`jnl`	CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, Jun Cheng, Kai-Yu Tong, Xiao Han
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	DOA Tracking Algorithm Based on AVS Pseudo-Smoothing for Coherent Acoustic Targets. IEEE Trans. Aerosp. Electron. Syst. Jun Zhang, Ming Bao, Jianhua Yang, Zhifei Chen, Hong Hou
2023	A*	`conf`	Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. ACM Multimedia Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023	J	`jnl`	Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
2023	J	`jnl`	Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	A*	`conf`	Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. ICLR Jinxi Xiang, Jun Zhang
2023	J	`jnl`	Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. CoRR Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu
2023	J	`jnl`	Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning. CoRR Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
2023	—	`conf`	Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. MICCAI (6) Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
2023	A	`conf`	Graph-Based Self-Learning for Robust Person Re-identification. WACV Yuqiao Xian, Jinrui Yang, Fufu Yu, Jun Zhang, Xing Sun
2023	J	`jnl`	High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. IEEE Trans. Pattern Anal. Mach. Intell. Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao
2023	J	`jnl`	IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. CoRR Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
2023	J	`jnl`	Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. CoRR Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	A*	`conf`	MIMT: Masked Image Modeling Transformer for Video Compression. ICLR Jinxi Xiang, Kuan Tian, Jun Zhang
2023	J	`jnl`	Markov chain-based frequency correlation processing algorithm for wideband DOA estimation. Signal Process. Jun Zhang, Ming Bao, Zhifei Chen, Jing Zhao, Hong Hou, Jianhua Yang
2023	J	`jnl`	Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han
2023	A*	`conf`	RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2023	J	`jnl`	RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	A*	`conf`	Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. ACM Multimedia Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2023	J	`jnl`	Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. CoRR Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
2022	—	`conf`	A Transformer-based System for Action Spotting in Soccer Videos. MMSports@MM He Zhu, Junwei Liang, Chengzhi Lin, Jun Zhang, Jianming Hu
2022	J	`jnl`	Adaptive context- and scale-aware aggregation with feature alignment for one-shot object detection. Neurocomputing Wenwen Zhang, Chengdong Dong, Jun Zhang, Hangguan Shan, Eryun Liu
2022	J	`jnl`	Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. IEEE Trans. Image Process. Donglin Di, Jun Zhang, Fuqiang Lei, Qi Tian, Yue Gao
2022	J	`jnl`	CoNIC Solution. CoRR Wenhua Zhang, Jun Zhang
2022	J	`jnl`	Conditional Feature Learning Based Transformer for Text-Based Person Search. IEEE Trans. Image Process. Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Fangzhou Lin, Xing Sun, Xiang Bai
2022	J	`jnl`	DOA Estimation for Heterogeneous Wideband Sources Based on Adaptive Space-Frequency Joint Processing. IEEE Trans. Signal Process. Jun Zhang, Ming Bao, Xiao-Ping Zhang, Zhifei Chen, Jianhua Yang
2022	J	`jnl`	DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	J	`jnl`	Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han
2022	A*	`conf`	Multi-dataset Training of Transformers for Robust Action Recognition. NeurIPS Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
2022	J	`jnl`	Multi-dataset Training of Transformers for Robust Action Recognition. CoRR Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
2022	J	`jnl`	Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2022	J	`jnl`	Multitarget Tracking Based on Dynamic Bayesian Network With Reparameterized Approximate Variational Inference. IEEE Internet Things J. Wenqiong Zhang, Jun Zhang, Ming Bao, Xiao-Ping Zhang, Xiaodong Li
2022	A*	`conf`	Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
2022	J	`jnl`	PFVNet: A Partial Fingerprint Verification Network Learned From Large Fingerprint Matching. IEEE Trans. Inf. Forensics Secur. Zhiyuan He, Jun Zhang, Liaojun Pang, Eryun Liu
2022	J	`jnl`	Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han
2022	A*	`conf`	PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. NeurIPS Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen
2022	J	`jnl`	PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. CoRR Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Chunhua Shen
2022	J	`jnl`	RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
2022	A*	`conf`	SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	—	`conf`	SoccerNet 2022 Challenges Results. MMSports@MM Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
2022	J	`jnl`	SoccerNet 2022 Challenges Results. CoRR Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
2022	—	`conf`	Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation. CVPR Workshops Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang
2022	A*	`conf`	Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. NeurIPS Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen
2022	J	`jnl`	Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. CoRR Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen
2022	J	`jnl`	Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2021	—	`conf`	An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2021	A*	`conf`	Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. ICCV Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun
2021	J	`jnl`	Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search. CoRR Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Pai Peng, Xiaowei Guo, Xing Sun
2021	—	`conf`	DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021	A*	`conf`	Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan
2021	J	`jnl`	Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao
2021	J	`jnl`	Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao, Eryun Liu, Mingxia Liu, Xiao Han
2021	A*	`conf`	Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification. CVPR Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng
2021	A*	`conf`	Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han
2021	—	`conf`	Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021	J	`jnl`	Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. CoRR Guanyu Cai, Xinyang Jiang, Jun Zhang, Yifei Gong, Lianghua He, Pai Peng, Xiaowei Guo, Xing Sun
2021	—	`conf`	Sk-Unet Model with Fourier Domain for Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang
2021	J	`jnl`	Sk-Unet Model with Fourier Domain for Mitosis Detection. CoRR Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang
2021	—	`conf`	TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han
2020	J	`jnl`	A Clifford Analytic Signal-Based Breast Lesion Segmentation Method for 4D Spatial-Temporal DCE-MRI Sequences. IEEE Access Liang Wang, Haocheng Shen, Jun Zhang, Yanchun Zhu, Cheng Jiang
2020	J	`jnl`	Conductive particle detection via deep learning for ACF bonding in TFT-LCD manufacturing. J. Intell. Manuf. Eryun Liu, Kangping Chen, Zhiyu Xiang, Jun Zhang
2020	J	`jnl`	Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
2020	—	`conf`	Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han
2020	—	`conf`	Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. ECCV (6) Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
2020	J	`jnl`	Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. CoRR Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
2020	J	`jnl`	GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
2020	—	`conf`	GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
2020	J	`jnl`	Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
2020	J	`jnl`	High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR. IEEE Trans. Signal Process. Jun Zhang, Xiangyuan Xu, Zhifei Chen, Ming Bao, Xiao-Ping Zhang, Jianhua Yang
2020	J	`jnl`	Microscope Based HER2 Scoring System. CoRR Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han
2020	A*	`conf`	Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. CVPR Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao
2020	—	`conf`	Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. MICCAI (5) Donglin Di, Shengrui Li, Jun Zhang, Yue Gao
2020	J	`jnl`	Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
2020	—	`conf`	Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han
2019	J	`jnl`	Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2019	J	`jnl`	Deep learning for identifying radiogenomic associations in breast cancer. Comput. Biol. Medicine Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2019	J	`jnl`	Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. IEEE Trans. Medical Imaging Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2019	J	`jnl`	Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2019	J	`jnl`	Multimedia analysis for medical applications. Multim. Syst. Jun Zhang, Mingxia Liu, Yi Zhen
2019	A	`conf`	Particle Swarm Loss for Lightweight Object Detection. ICME Peizhen Zhang, Feng Zheng, Junlong Du, Jun Zhang, Xiaowei Guo, Wei-Shi Zheng
2018	J	`jnl`	Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski
2018	—	`conf`	Breast cancer molecular subtype classification using deep features: preliminary results. Computer-Aided Diagnosis Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2018	—	`conf`	Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. Computer-Aided Diagnosis Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2018	—	`conf`	Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Computer-Aided Diagnosis Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2018	—	`conf`	Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Computer-Aided Diagnosis Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski
2018	—	`conf`	Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Computer-Aided Diagnosis Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2018	J	`jnl`	Deformable Image Registration Using a Cue-Aware Deep Regression Network. IEEE Trans. Biomed. Eng. Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Guest Editorial: Large-scale 3D Multimedia Analysis and Applications. Multim. Tools Appl. Sicheng Zhao, Jun Zhang, Yi Zhen
2018	J	`jnl`	Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2018	J	`jnl`	Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen
2018	J	`jnl`	Multi-task neural networks for joint hippocampus segmentation and clinical score regression. Multim. Tools Appl. Liang Cao, Long Li, Jifeng Zheng, Xin Fan, Feng Yin, Hui Shen, Jun Zhang
2018	J	`jnl`	Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. IEEE Trans. Geosci. Remote. Sens. Chuang Niu, Jun Zhang, Qian Wang, Jimin Liang
2017	J	`jnl`	Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2017	J	`jnl`	Auroral event representation based on the n-ary fusion of multiple oriented energies. Neurocomputing Jun Zhang, Qian Wang, Zejun Hu, Mingxia Liu
2017	J	`jnl`	Deep Learning for identifying radiogenomic associations in breast cancer. CoRR Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2017	—	`conf`	Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. MICCAI (3) Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
2017	J	`jnl`	Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. CoRR Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2017	—	`conf`	Deformable Image Registration Based on Similarity-Steered CNN Regression. MICCAI (1) Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen
2017	J	`jnl`	Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks. IEEE Trans. Image Process. Jun Zhang, Mingxia Liu, Dinggang Shen
2017	—	`conf`	Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen
2017	J	`jnl`	Hypergraph regularized sparse feature learning. Neurocomputing Mingxia Liu, Jun Zhang, Xiaochun Guo, Liujuan Cao
2017	—	`conf`	Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
2017	J	`jnl`	Multi-view texture classification using hierarchical synthetic images. Multim. Tools Appl. Jun Zhang, Jimin Liang, Haihong Hu
2017	J	`jnl`	Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2017	J	`jnl`	View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. Medical Image Anal. Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	3D Object Retrieval with Multimodal Views. 3DOR@Eurographics Yue Gao, Weizhi Nie, Anan Liu, Yuting Su, Qionghai Dai, Le An, Fuhai Chen, Liujuan Cao, Shuilong Dong, Yu De, Zan Gao, Jiayun Hao, Rongrong Ji, Haisheng Li, Mingxia Liu, Lili Pan, Yu Qiu, Liwei Wei, Zhao Wang, Hongjiang Wei, Yuyao Zhang, Jun Zhang, Yan Zhang, Yali Zheng
2016	J	`jnl`	Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2016	J	`jnl`	Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen
2016	—	`conf`	Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. MICCAI (1) Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen
2016	—	`conf`	Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
2016	—	`conf`	Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. MICCAI (2) Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen
2015	J	`jnl`	A new shape prior model with rotation invariance. Pattern Recognit. Lett. Chunhui Zhang, Jimin Liang, Jun Zhang, Heng Zhao
2015	—	`conf`	Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2015	—	`conf`	Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen
2015	J	`jnl`	Scale invariant texture representation based on frequency decomposition and gradient orientation. Pattern Recognit. Lett. Jun Zhang, Jimin Liang, Chunhui Zhang, Heng Zhao
2013	J	`jnl`	Continuous rotation invariant local descriptors for texton dictionary-based texture classification. Comput. Vis. Image Underst. Jun Zhang, Heng Zhao, Jimin Liang
2013	J	`jnl`	Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds. IEEE Trans. Image Process. Jun Zhang, Jimin Liang, Heng Zhao