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ORCIDJun Shi 0004
Person information
- affiliation: Shanghai University, Institute of Biomedical Engineering, School of Communication and Information Engineering, China
- affiliation (PhD 2005): University of Science and Technology of China, Department of Electronic Engineering and Information Science, China
Other persons with the same name
- Jun Shi — disambiguation page
- Jun Shi 0001 — Qualcomm Inc., San Diego, CA, USA (and 2 more)
- Jun Shi 0002
![[0000-0003-4520-8975]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4520-8975")
— University of Electronic Science and Technology of China, Chengdu, Sichuan, China - Jun Shi 0003 — Harbin Institute of Technology, Communication Research Center, China
- Jun Shi 0005 — Guangzhou University, School of Mechanical and Electrical Engineering, China
- Jun Shi 0006 — Hefei University of Technology, School of Software, School of Computer Science and Information Engineering, China
- Jun Shi 0007 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
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2020 – today
- 2025
[j72]Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen:
Deep unfolding network with spatial alignment for multi-modal MRI reconstruction. Medical Image Anal. 99: 103331 (2025)- 2024
- [j71]Ke Sun, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images. Biomed. Signal Process. Control. 97: 106684 (2024) - [j70]Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng:
A fine-grained orthodontics segmentation model for 3D intraoral scan data. Comput. Biol. Medicine 168: 107821 (2024) - [j69]Yinghua Fu, Junfeng Liu, Jun Shi:
TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images. Comput. Biol. Medicine 170: 107938 (2024) - [j68]Xiao Wang, Xinping Ren, Ge Jin, Shihui Ying, Jun Wang, Juncheng Li, Jun Shi:
B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion. Comput. Biol. Medicine 182: 109106 (2024) - [j67]Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li:
Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. Expert Syst. Appl. 252: 124255 (2024) - [j66]Huili Zhang, Lehang Guo, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. Inf. Process. Manag. 61(6): 103855 (2024) - [j65]Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, Tieyong Zeng:
EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks 177: 106378 (2024) - [j64]Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying:
Self-adaptive subspace representation from a geometric intuition. Pattern Recognit. 149: 110228 (2024) - [j63]Yixiang Jin, Dingzhe Li, Yong A, Jun Shi, Peng Hao, Fuchun Sun, Jianwei Zhang, Bin Fang:
RobotGPT: Robot Manipulation Learning From ChatGPT. IEEE Robotics Autom. Lett. 9(3): 2543-2550 (2024) - [j62]Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi:
Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. IEEE J. Biomed. Health Informatics 28(7): 4393-4394 (2024) - [j61]Tianxiang Huang, Jing Shi, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH. IEEE J. Biomed. Health Informatics 28(8): 4797-4809 (2024) - [j60]Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. IEEE Trans. Medical Imaging 43(3): 902-915 (2024) - [j59]Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi:
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. IEEE Trans. Medical Imaging 43(7): 2509-2521 (2024) - [j58]Yan Hu, Jun Wang, Hao Zhu, Juncheng Li, Jun Shi:
Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging. IEEE Trans. Medical Imaging 43(9): 3126-3136 (2024) - [j57]Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. IEEE Trans. Medical Imaging 43(11): 3924-3935 (2024) - [j56]Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification. IEEE Trans. Medical Imaging 43(11): 3977-3989 (2024) - [c41]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512 - [c40]Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images. MICCAI (5) 2024: 692-701 - [i23]Dingzhe Li, Yixiang Jin, Yong A, Hongze Yu, Jun Shi, Xiaoshuai Hao, Peng Hao, Huaping Liu, Fuchun Sun, Bin Fang:
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey. CoRR abs/2404.18201 (2024) - [i22]Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images. CoRR abs/2408.13495 (2024) - [i21]Jiawen Wang, Yixiang Jin, Jun Shi, Yong A, Dingzhe Li, Bin Fang, Fuchun Sun:
EHC-MM: Embodied Holistic Control for Mobile Manipulation. CoRR abs/2409.08527 (2024) - 2023
- [j55]Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen:
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023) - [j54]Ronglin Gong, Jing Shi, Jian Wang, Jun Wang, Jianwei Zhou, Xiaofeng Lu, Jun Du, Jun Shi:
Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis. Comput. Biol. Medicine 165: 107409 (2023) - [j53]Saisai Ding, Zhiyang Gao, Jun Wang, Minhua Lu, Jun Shi:
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images. Expert Syst. Appl. 212: 118793 (2023) - [j52]Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying:
GAME: GAussian Mixture Error-based meta-learning architecture. Neural Comput. Appl. 35(28): 20445-20461 (2023) - [j51]Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi:
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. Neural Networks 164: 369-381 (2023) - [j50]Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen:
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. Pattern Recognit. 134: 109076 (2023) - [j49]Hao Zhu, Jun Wang, Yin-Ping Zhao, Minhua Lu, Jun Shi:
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification. IEEE Trans. Biomed. Eng. 70(6): 1943-1954 (2023) - [j48]Zhaowu Lu, Jun Wang, Rui Mao, Minhua Lu, Jun Shi:
Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 476-488 (2023) - [j47]Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi:
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. IEEE J. Biomed. Health Informatics 27(3): 1512-1523 (2023) - [j46]Zheng Li, Shihui Ying, Jun Wang, Hongjian He, Jun Shi:
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. IEEE J. Biomed. Health Informatics 27(4): 2047-2058 (2023) - [j45]Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27(7): 3337-3348 (2023) - [j44]Qiong Wu, Jun Wang, Zongqiong Sun, Lei Xiao, Wenhao Ying, Jun Shi:
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 27(11): 5564-5575 (2023) - [j43]Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. IEEE J. Biomed. Health Informatics 27(12): 5926-5936 (2023) - [c39]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin:
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2023: 1384-1395 - [c38]Saisai Ding, Jun Wang, Juncheng Li, Jun Shi:
Multi-scale Prototypical Transformer for Whole Slide Image Classification. MICCAI (6) 2023: 602-611 - [i20]Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng:
Fast MRI Reconstruction via Edge Attention. CoRR abs/2304.11400 (2023) - [i19]Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying:
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction. CoRR abs/2305.02774 (2023) - [i18]Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. CoRR abs/2305.15773 (2023) - [i17]Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi:
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images. CoRR abs/2306.06982 (2023) - [i16]Saisai Ding, Jun Wang, Juncheng Li, Jun Shi:
Multi-Scale Prototypical Transformer for Whole Slide Image Classification. CoRR abs/2307.02308 (2023) - [i15]Yixiang Jin, Dingzhe Li, Yong A, Jun Shi, Peng Hao, Fuchun Sun, Jianwei Zhang, Bin Fang:
RobotGPT: Robot Manipulation Learning from ChatGPT. CoRR abs/2312.01421 (2023) - [i14]Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen:
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction. CoRR abs/2312.16998 (2023) - 2022
- [j42]Ronglin Gong, Linlin Wang, Jun Wang, Binjie Ge, Hang Yu, Jun Shi:
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images. Comput. Biol. Medicine 146: 105641 (2022) - [j41]Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen:
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75: 102294 (2022) - [j40]Zhongyi Hu, Jun Wang, Chunxiang Zhang, Zhenzhen Luo, Xiaoqing Luo, Lei Xiao, Jun Shi:
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems. IEEE Trans. Cogn. Dev. Syst. 14(2): 730-739 (2022) - [j39]Shilin Wu, Jun Shi, Zhibo Chen:
HG-FCN: Hierarchical Grid Fully Convolutional Network for Fast VVC Intra Coding. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5638-5649 (2022) - [j38]Jun Wang, Zhuangzhuang Zhao, Zhaohong Deng, Kup-Sze Choi, Lejun Gong, Jun Shi, Shitong Wang:
Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters. IEEE Trans. Fuzzy Syst. 30(5): 1486-1500 (2022) - [j37]Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi:
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine. IEEE J. Biomed. Health Informatics 26(1): 334-344 (2022) - [j36]Zhiyang Gao, Zhiyang Lu, Jun Wang, Shihui Ying, Jun Shi:
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images. IEEE J. Biomed. Health Informatics 26(7): 3163-3173 (2022) - [j35]Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi:
Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. IEEE J. Biomed. Health Informatics 26(7): 3435-3446 (2022) - [j34]Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi:
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. IEEE J. Biomed. Health Informatics 26(8): 3938-3949 (2022) - [j33]Weichang Ding, Jun Wang, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi:
Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography. IEEE J. Biomed. Health Informatics 26(9): 4474-4485 (2022) - [j32]Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen:
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41(8): 2009-2020 (2022) - [c37]Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi:
A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG. ICASSP 2022: 1291-1295 - [c36]Ronglin Gong, Shihui Ying, Jun Shi:
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ICIP 2022: 551-555 - [i13]Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying:
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. CoRR abs/2205.15530 (2022) - 2021
- [j31]Zheng Li, Chaofeng Wang, Jun Wang, Shihui Ying, Jun Shi:
Lightweight adaptive weighted network for single image super-resolution. Comput. Vis. Image Underst. 211: 103254 (2021) - [j30]Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi:
COVID-AL: The diagnosis of COVID-19 with deep active learning. Medical Image Anal. 68: 101913 (2021) - [j29]Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi:
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. Pattern Recognit. 120: 108139 (2021) - [j28]Zheng Li, Jun Li, Chaoyue Wang, Zhiyang Lu, Jun Wang, Hongjian He, Jun Shi:
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping. IEEE Trans. Computational Imaging 7: 1385-1399 (2021) - [j27]Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen:
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration. IEEE Trans. Circuits Syst. Video Technol. 31(5): 2008-2019 (2021) - [j26]Weiwen Wu, Jun Shi, Hengyong Yu, Weifei Wu, Vince Vardhanabhuti:
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j25]Xin Li, Jun Shi, Zhibo Chen:
Task-Driven Semantic Coding via Reinforcement Learning. IEEE Trans. Image Process. 30: 6307-6320 (2021) - [j24]Huili Zhang, Lehang Guo, Dan Wang, Jun Wang, Lili Bao, Shihui Ying, Huixiong Xu, Jun Shi:
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers. IEEE J. Biomed. Health Informatics 25(10): 3874-3885 (2021) - [c35]Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi:
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net. ISBI 2021: 1351-1355 - [c34]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. MICCAI (6) 2021: 3-12 - [i12]Ronglin Gong, Zhiyang Lu, Jun Shi:
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. CoRR abs/2101.06228 (2021) - [i11]Xin Li, Jun Shi, Zhibo Chen:
Task-driven Semantic Coding via Reinforcement Learning. CoRR abs/2106.03511 (2021) - [i10]Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. CoRR abs/2106.15395 (2021) - [i9]Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi:
A channel attention based MLP-Mixer network for motor imagery decoding with EEG. CoRR abs/2110.10939 (2021) - 2020
- [j23]Lu Shen, Jun Shi, Yun Dong, Shihui Ying, Yaxin Peng, Lu Chen, Qi Zhang, Hedi An, Yingchun Zhang:
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease. Cogn. Comput. 12(3): 553-562 (2020) - [j22]Xiaoyan Fei, Lu Shen, Shihui Ying, Yehua Cai, Qi Zhang, Wentao Kong, Weijun Zhou, Jun Shi:
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis. Cogn. Comput. 12(6): 1252-1264 (2020) - [j21]Xiaoyan Fei, Jun Wang, Shihui Ying, Zhongyi Hu, Jun Shi:
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease. Neurocomputing 413: 271-283 (2020) - [j20]Zhibo Chen, Jun Shi, Weiping Li:
Learned Fast HEVC Intra Coding. IEEE Trans. Image Process. 29: 5431-5446 (2020) - [j19]Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen:
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020) - [c33]Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi:
BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. ISBI 2020: 1106-1110 - [c32]Jun Shi, Zhibo Chen:
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics. ISCAS 2020: 1-5 - [c31]Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi:
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. MICCAI (6) 2020: 141-149 - [i8]Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen:
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration. CoRR abs/2003.05891 (2020) - [i7]Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020) - [i6]Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi:
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. CoRR abs/2007.06634 (2020) - [i5]Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi:
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net. CoRR abs/2010.05395 (2020)
2010 – 2019
- 2019
- [j18]Yan Li, Fanqing Meng, Jun Shi:
Learning using privileged information improves neuroimaging-based CAD of Alzheimer's disease: a comparative study. Medical Biol. Eng. Comput. 57(7): 1605-1616 (2019) - [j17]Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying:
Quaternion Grassmann average network for learning representation of histopathological image. Pattern Recognit. 89: 67-76 (2019) - [j16]Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng, Yun Dong, Qi Zhang, Yingchun Zhang:
Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease. IEEE Trans. Biomed. Eng. 66(8): 2362-2371 (2019) - [j15]Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan:
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection. IEEE J. Biomed. Health Informatics 23(3): 1129-1140 (2019) - [c30]Xinying Yu, Bo Peng, Jun Shi, Jianbin Zhu, Yakang Dai:
3D Convolutional Networks Based Automatic Diagnosis of Alzheimer's Disease Using Structural MRI. CISP-BMEI 2019: 1-6 - [c29]Xiaoyan Fei, Weijun Zhou, Lu Shen, Cai Chang, Shichong Zhou, Jun Shi:
Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine. EMBC 2019: 933-936 - [c28]Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 2019: 3565-3574 - [c27]Jun Shi, Changsheng Gao, Zhibo Chen:
Asymmetric-Kernel CNN Based Fast CTU Partition for HEVC Intra Coding. ISCAS 2019: 1-5 - [c26]Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi:
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging. MICCAI (3) 2019: 12-20 - [c25]Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen:
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. MICCAI (3) 2019: 790-798 - [i4]Chaofeng Wang, Zheng Li, Jun Shi:
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network. CoRR abs/1904.02358 (2019) - [i3]Jun Shi, Zhibo Chen:
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics. CoRR abs/1910.07392 (2019) - [i2]Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR abs/1911.01249 (2019) - 2018
- [j14]Qi Zhang, Yue Liu, Hong Han, Jun Shi, Wenping Wang:
Artificial Intelligence Based Diagnosis for Cervical Lymph Node Malignancy Using the Point-Wise Gated Boltzmann Machine. IEEE Access 6: 60605-60612 (2018) - [j13]Bangming Gong, Jun Shi, Shihui Ying, Yakang Dai, Qi Zhang, Yun Dong, Hedi An, Yingchun Zhang:
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine. Neurocomputing 320: 141-149 (2018) - [j12]Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying:
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease. IEEE J. Biomed. Health Informatics 22(1): 173-183 (2018) - [j11]Shihui Ying, Zhijie Wen, Jun Shi, Yaxin Peng, Jigen Peng, Hong Qiao:
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2731-2742 (2018) - [c24]Jun Shi, Minjun Yan, Yun Dong, Xiao Zheng, Qi Zhang, Hedi An:
Multiple Kernel Learning Based Classification of Parkinson's Disease With Multi-Modal Transcranial Sonography. EMBC 2018: 61-64 - [c23]