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ORCIDJing Qin 0001
Person information
- affiliation: Hong Kong Polytechnic University, School of Nursing, Centre for Smart Health, Hong Kong
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation (former): National University of Singapore, Department of Diagnostic Radiology, Singapore
- affiliation (PhD 2009): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Jing Qin — disambiguation page
- Jing Qin 0002
![[0000-0003-2380-0396]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2380-0396")
— Shandong University, School of Mathematics, Jinan, China - Jing Qin 0003 — University of Kentucky, Department of Mathematics, Lexington, KY, USA (and 3 more)
- Jing Qin 0004 — Chinese University of Hong Kong, School of Life Sciences, Hong Kong (and 1 more)
- Jing Qin 0005 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Jing Qin 0006 — University of Southern Denmark, Department of Mathematics and Computer Science, Odense, Denmark (and 2 more)
- Jing Qin 0007 — Dalian University, School of Software Engineering, Dalian, China
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2020 – today
- 2023
[j168]Wenlong Hang, Zengguang Li, Mingbo Yin, Shuang Liang, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi:
Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification. Biomed. Signal Process. Control. 82: 104579 (2023)- [j167]Pan Huang, Xiaoli Zhou, Peng He, Peng Feng, Sukun Tian, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin, Hualiang Xiao:
Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. Comput. Biol. Medicine 154: 106447 (2023) - [j166]Yan Zhou, Zhaolong Dang, Huaidong Zhang, Xuemiao Xu, Jing Qin, Wenjun Li, Fanzhi Zeng, Xiangyu Liu:
EFSCNN: Encoded Feature Sphere Convolution Neural Network for fast non-rigid 3D models classification and retrieval. Comput. Vis. Image Underst. 233: 103724 (2023) - [j165]Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou, Jing Qin:
Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting. IET Softw. 17(4): 554-565 (2023) - [j164]Yang Zhou, Hanjie Wu, Wenxi Liu, Zheng Xiong, Jing Qin, Shengfeng He:
Single-View View Synthesis with Self-rectified Pseudo-Stereo. Int. J. Comput. Vis. 131(8): 2032-2043 (2023) - [j163]Yiyang Shen, Rongwei Yu, Ni Shu, Jing Qin, Mingqiang Wei:
HLA-HOD: Joint High-Low Adaptation for Object Detection in Hazy Weather Conditions. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j162]Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin:
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. Neurocomputing 526: 180-190 (2023) - [j161]Dongbin Yin, Baizhong Zhang, Jingwen Yan, Yu Luo, Teng Zhou, Jing Qin:
CoWNet: A correlation weighted network for geological hazard detection. Knowl. Based Syst. 275: 110684 (2023) - [j160]Qi Liu, Geyi Zhou, Jianquan Zhong, Ling Tang, Yao Lu, Jing Qin, Ling He, Jing Zhang:
Path planning for percutaneous lung biopsy based on the loose-Pareto and adaptive heptagonal optimization method. Medical Biol. Eng. Comput. 61(6): 1449-1472 (2023) - [j159]Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin:
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85: 102760 (2023) - [j158]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 946-963 (2023) - [j157]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He:
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9248-9255 (2023) - [j156]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9374-9392 (2023) - [j155]Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative:
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. 70(3): 831-840 (2023) - [j154]Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang:
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. 70(3): 1012-1023 (2023) - [j153]Huisi Wu, Zebin Zhao, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation. IEEE Trans. Cybern. 53(4): 2610-2621 (2023) - [j152]Pan Huang, Peng He, Sukun Tian, Mingrui Ma, Peng Feng, Hualiang Xiao, Francesco Mercaldo, Antonella Santone, Jing Qin:
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. IEEE Trans. Medical Imaging 42(1): 15-28 (2023) - [j151]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. IEEE Trans. Medical Imaging 42(5): 1431-1445 (2023) - [j150]Huisi Wu, Xiaoting Huang, Xinrong Guo, Zhenkun Wen, Jing Qin:
Cross-Image Dependency Modeling for Breast Ultrasound Segmentation. IEEE Trans. Medical Imaging 42(6): 1619-1631 (2023) - [j149]Huisi Wu, Canfeng Lin, Jiasheng Liu, Youyi Song, Zhenkun Wen, Jing Qin:
Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. IEEE Trans. Medical Imaging 42(6): 1668-1680 (2023) - [j148]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. IEEE Trans. Medical Imaging 42(6): 1735-1745 (2023) - [j147]Wentai Hou, Chengxuan Lin, Lequan Yu, Jing Qin, Rongshan Yu, Liansheng Wang:
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction. IEEE Trans. Medical Imaging 42(8): 2462-2473 (2023) - [j146]Huisi Wu, Zhaoze Wang, Zhuoying Li, Zhenkun Wen, Jing Qin:
Context Prior Guided Semantic Modeling for Biomedical Image Segmentation. ACM Trans. Multim. Comput. Commun. Appl. 19(2s): 90:1-90:19 (2023) - [c119]Huisi Wu, Jingyin Lin, Wende Xie, Jing Qin:
Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning. AAAI 2023: 2803-2811 - [i52]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR abs/2303.08113 (2023) - [i51]Yang Zhou, Hanjie Wu, Wenxi Liu, Zheng Xiong, Jing Qin, Shengfeng He:
Single-View View Synthesis with Self-Rectified Pseudo-Stereo. CoRR abs/2304.09527 (2023) - [i50]Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei:
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. CoRR abs/2307.08492 (2023) - [i49]Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He:
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. CoRR abs/2308.12163 (2023) - 2022
- [j145]Shuang Liang, Wenlong Hang, Mingbo Yin, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi, Yu Zhang:
Deep EEG feature learning via stacking common spatial pattern and support matrix machine. Biomed. Signal Process. Control. 74: 103531 (2022) - [j144]Yingkui Zhang, Guibao Shen, Qiong Wang, Yinling Qian, Mingqiang Wei, Jing Qin:
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural Networks. Comput. Aided Des. 144: 103154 (2022) - [j143]Kang Wang, Lequan Yu, Jinghua Xu, Shuyou Zhang, Jing Qin:
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency. Comput. Ind. Eng. 173: 108720 (2022) - [j142]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. Comput. Graph. Forum 41(7): 87-98 (2022) - [j141]Tao Peng, Yiyun Wu, Jing Qin, Qingrong Jackie Wu, Jing Cai:
H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model. Comput. Methods Programs Biomed. 219: 106752 (2022) - [j140]Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Neurocomputing 489: 18-26 (2022) - [j139]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. Medical Image Anal. 75: 102291 (2022) - [j138]Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Medical Image Anal. 78: 102397 (2022) - [j137]Cheng Zhao, Weiling Chen, Jing Qin, Peng Yang, Zhuo Xiang, Alejandro F. Frangi, Minsi Chen, Shumin Fan, Wei Yu, Xunyi Chen, Bei Xia, Tianfu Wang, Baiying Lei:
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. Medical Image Anal. 82: 102648 (2022) - [j136]Badong Chen, Yuqing Xie, Xin Wang, Zejian Yuan, Pengju Ren, Jing Qin:
Multikernel Correntropy for Robust Learning. IEEE Trans. Cybern. 52(12): 13500-13511 (2022) - [j135]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Guangtao Xue, Jing Qin, Jinman Kim, David Dagan Feng:
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31: 880-893 (2022) - [j134]Peng Li, Xuefeng Yan, Hongwei Zhu, Mingqiang Wei, Xiao-Ping Zhang, Jing Qin:
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 6396-6411 (2022) - [j133]Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei:
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3357-3371 (2022) - [c118]Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang:
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. AAAI 2022: 933-941 - [c117]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. AAAI 2022: 2459-2467 - [c116]Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin:
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. AAAI 2022: 3608-3616 - [c115]Huisi Wu, Zhaoze Wang, Youyi Song, Lin Yang, Jing Qin:
Cross-patch Dense Contrastive Learning for Semi-supervised Segmentation of Cellular Nuclei in Histopathologic Images. CVPR 2022: 11656-11665 - [c114]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CVPR 2022: 20604-20613 - [c113]Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He:
Editing Out-of-Domain GAN Inversion via Differential Activations. ECCV (17) 2022: 1-17 - [c112]Yufei Wen, Chongxin Liang, Jingyin Lin, Huisi Wu, Jing Qin:
ExSwin-Unet: An Unbalanced Weighted Unet with Shifted Window and External Attentions for Fetal Brain MRI Image Segmentation. ECCV Workshops (3) 2022: 340-354 - [c111]Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang:
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. ECCV (19) 2022: 565-582 - [c110]Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal. ICASSP 2022: 3418-3422 - [c109]Minhao Liu, Ailing Zeng, Qiuxia Lai, Ruiyuan Gao, Min Li, Jing Qin, Qiang Xu:
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis. ICLR 2022 - [c108]Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou, Jing Qin:
Fuzzy Structural Broad Learning for Breast Cancer Classification. ISBI 2022: 1-4 - [c107]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. MICCAI (3) 2022: 313-323 - [c106]Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin:
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. MICCAI (6) 2022: 463-473 - [c105]Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin:
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. MICCAI (6) 2022: 474-484 - [c104]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. MICCAI (3) 2022: 614-623 - [c103]Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin:
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. MICCAI (1) 2022: 754-763 - [c102]Dapeng Chen, Min Wang, Haobin Chen, Lin Wu, Jing Qin, Wei Peng:
Cross-Modal Retrieval with Heterogeneous Graph Embedding. ACM Multimedia 2022: 3291-3300 - [c101]Ye Liu, Liang Wan, Huazhu Fu, Jing Qin, Lei Zhu:
Phase-based Memory Network for Video Dehazing. ACM Multimedia 2022: 5427-5435 - [c100]Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin:
Deformable Lung CT Registration by Decomposing Large Deformation. WBIR 2022: 185-189 - [i48]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. CoRR abs/2203.12514 (2022) - [i47]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CoRR abs/2203.13963 (2022) - [i46]Yiyang Shen, Sen Deng, Wenhan Yang, Mingqiang Wei, Haoran Xie, Xiaoping Zhang, Jing Qin, Meng Wang:
Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning. CoRR abs/2204.02772 (2022) - [i45]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Mingqiang Wei, Jing Qin:
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning. CoRR abs/2205.01871 (2022) - [i44]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers. CoRR abs/2206.00806 (2022) - [i43]Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. CoRR abs/2206.04665 (2022) - [i42]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Mingqiang Wei, Jing Qin:
Dynamic Message Propagation Network for RGB-D Salient Object Detection. CoRR abs/2206.09552 (2022) - [i41]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos. CoRR abs/2207.00141 (2022) - [i40]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. CoRR abs/2207.00769 (2022) - [i39]Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He:
Editing Out-of-domain GAN Inversion via Differential Activations. CoRR abs/2207.08134 (2022) - [i38]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Mingqiang Wei, Jun Wang, Jing Qin:
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion. CoRR abs/2208.00751 (2022) - [i37]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. CoRR abs/2208.02712 (2022) - [i36]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection. CoRR abs/2211.09518 (2022) - [i35]Xudong Kang, Haoran Xie, Man-Leung Wong, Jing Qin:
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information. CoRR abs/2212.02198 (2022) - 2021
- [j132]Huakang Lu, Zuhao Ge, Youyi Song, Dazhi Jiang, Teng Zhou, Jing Qin:
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting. Neurocomputing 427: 169-178 (2021) - [j131]Luming Liang, Seng Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional neural network with median layers for denoising salt-and-pepper contaminations. Neurocomputing 442: 26-35 (2021) - [j130]Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He:
Fast scene labeling via structural inference. Neurocomputing 442: 317-326 (2021) - [j129]Huisi Wu, Wei Wang, Jiafu Zhong, Baiying Lei, Zhenkun Wen, Jing Qin:
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. Medical Image Anal. 70: 102025 (2021) - [j128]Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j127]Wentai Hou, Liansheng Wang, Shuntian Cai, Zhenyu Lin, Rongshan Yu, Jing Qin:
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation. Medical Image Anal. 72: 102092 (2021) - [j126]Fei Chen, Donghong Wang, Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wei Yu, Jing Qin:
Towards Dynamic Verifiable Pattern Matching. IEEE Trans. Big Data 7(2): 421-435 (2021) - [j125]Jiaojiao Chen, Jianbo Jiao, Shengfeng He, Guoqiang Han, Jing Qin:
Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1914-1923 (2021) - [j124]Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Learning Gated Non-Local Residual for Single-Image Rain Streak Removal. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2147-2159 (2021) - [j123]Muhammad Nadeem Cheema, Anam Nazir, Po Yang, Bin Sheng, Ping Li, Huating Li, Xiaoer Wei, Jing Qin, Jinman Kim, David Dagan Feng:
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [j122]Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan:
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. IEEE J. Biomed. Health Informatics 25(7): 2655-2664 (2021) - [j121]Huisi Wu, Junquan Pan, Zhuoying Li, Zhenkun Wen, Jing Qin:
Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module. IEEE Trans. Medical Imaging 40(1): 357-370 (2021) - [j120]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - [j119]Sukun Tian, Miaohui Wang, Fulai Yuan, Ning Dai, Yuchun Sun, Wuyuan Xie, Jing Qin:
Efficient Computer-Aided Design of Dental Inlay Restoration: A Deep Adversarial Framework. IEEE Trans. Medical Imaging 40(9): 2415-2427 (2021) - [j118]Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3761-3769 (2021) - [j117]Laizhong Cui, Zhe Xiao, Jiahao Wang, Fei Chen, Yi Pan, Hua Dai, Jing Qin:
Improving Vaccine Safety Using Blockchain. ACM Trans. Internet Techn. 21(2): 38:1-38:24 (2021) - [j116]Yicheng Liu, Luchuan Liao, Hao Wu, Jing Qin, Ling He, Gang Yang, Han Zhang, Jing Zhang:
Trajectory and image-based detection and identification of UAV. Vis. Comput. 37(7): 1769-1780 (2021) - [c99]Huisi Wu, Jiasheng Liu, Wei Wang, Zhenkun Wen, Jing Qin:
Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images. AAAI 2021: 2907-2915 - [c98]Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos. AAAI 2021: 2916-2924 - [c97]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c96]Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin:
Triple-Cooperative Video Shadow Detection. CVPR 2021: 2715-2724 - [c95]Huisi Wu, Guilian Chen, Zhenkun Wen, Jing Qin:
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation. ICCV 2021: 3469-3478 - [c94]Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. ICCV 2021: 4945-4954 - [c93]Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Jing Qin, Donglian Qi, Dapeng Chen:
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification. ICCV 2021: 8351-8361 - [c92]Zuhao Ge, Yuhui Li, Cheng Liang, Youyi Song, Teng Zhou, Jing Qin:
Acsnet: Adaptive Cross-Scale Network with Feature Maps Refusion for Vehicle Density Detection. ICME 2021: 1-6 - [c91]Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. IJCAI 2021: 650-656 - [c90]Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi:
Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency. IJCAI 2021: 1245-1251 - [c89]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. IROS 2021: 9453-9460 - [c88]