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ORCIDJingxin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j34]Yuexiang Li
, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024)- [j33]Yutong Zhong, Yan Piao, Baolin Tan, Jingxin Liu:
A multi-task fusion model based on a residual-Multi-layer perceptron network for mammographic breast cancer screening. Comput. Methods Programs Biomed. 247: 108101 (2024) - [j32]Jingxin Liu, Mengzhe Sun, Wenhao Zhang, Gengquan Xie, Yongxia Jing, Xiulai Li, Zhaoxin Shi:
DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition. Comput. Speech Lang. 85: 101581 (2024) - [j31]Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu:
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. Expert Syst. Appl. 252: 124070 (2024) - [j30]Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu:
On the Federated Learning Framework for Cooperative Perception. IEEE Robotics Autom. Lett. 9(11): 9423-9430 (2024) - [j29]Jingxin Liu, Xiaofeng Liao, Jin Song Dong, Amin Mansoori:
Continuous-Time Distributed Generalized Nash Equilibrium Seeking in Nonsmooth Fuzzy Aggregative Games. IEEE Trans. Control. Netw. Syst. 11(3): 1262-1274 (2024) - [j28]Jingxin Liu, Xiaofeng Liao, Jin-song Dong:
A Quaternion-Valued Neural Network Approach to Nonsmooth Nonconvex Constrained Optimization in Quaternion Domain. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 654-669 (2024) - [j27]Jingxin Liu, Xiaofeng Liao, Jin-song Dong:
A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9743-9757 (2024) - [j26]Xin Peng, Jieren Cheng, Xiangyan Tang, Jingxin Liu, Jiahua Wu:
Dual Contrastive Learning Network for Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10846-10856 (2024) - [j25]Xinjie Wang, Qingxuan Lv, Guo Chen, Jing Zhang, Zhiqiang Wei, Junyu Dong, Hongbo Fu, Zhipeng Zhu, Jingxin Liu, Xiaogang Jin:
MobileSky: Real-Time Sky Replacement for Mobile AR. IEEE Trans. Vis. Comput. Graph. 30(7): 4304-4320 (2024) - [c27]Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu:
A Dataset and Model for Realistic License Plate Deblurring. IJCAI 2024: 776-784 - [c26]Yunze Wang, Angelos Stefanidis, Jingxin Liu:
Multi-Stage Transformer Fusion for Efficient Intracranial Hemorrhage Subtype Classification. ISBI 2024: 1-5 - [c25]Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang:
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring. MICCAI (4) 2024: 3-13 - [c24]Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang:
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model. MICCAI (3) 2024: 67-76 - [i16]Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu:
A Dataset and Model for Realistic License Plate Deblurring. CoRR abs/2404.13677 (2024) - [i15]Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu:
On the Federated Learning Framework for Cooperative Perception. CoRR abs/2404.17147 (2024) - 2023
- [j24]Luna Fan, Jie Li, Jingxin Liu:
An Enhanced Spotted Hyena Optimization Algorithm and its Application to Engineering Design Scenario. Int. J. Artif. Intell. Tools 32(6): 2350019:1-2350019:30 (2023) - [j23]Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song:
An anomaly prediction framework for financial IT systems using hybrid machine learning methods. J. Ambient Intell. Humaniz. Comput. 14(11): 15277-15286 (2023) - [j22]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [j21]Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori:
A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization. Neural Networks 160: 259-273 (2023) - [j20]Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori:
A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles. Neural Networks 161: 693-707 (2023) - [j19]Jingxin Liu, Xiaofeng Liao:
A Projection Neural Network to Nonsmooth Constrained Pseudoconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2001-2015 (2023) - [c23]Xi Long, Jingxin Liu, Xianxu Hou:
Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. ICIP 2023: 1805-1809 - [c22]Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. PRCV (5) 2023: 343-356 - 2022
- [j18]Yan Wang, Bingqing Yang, Jingxin Liu, Hui Zeng, Changqing Xia:
Virtual chain: A storage model supporting cross-blockchain transaction. Concurr. Comput. Pract. Exp. 34(12) (2022) - [j17]Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng:
MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition. KSII Trans. Internet Inf. Syst. 16(6): 1833-1848 (2022) - [j16]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j15]Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song:
K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 34(8): 3841-3853 (2022) - [c21]Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu:
Geometry-Aware Single-Image Full-Body Human Relighting. ECCV (16) 2022: 388-405 - [c20]Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng:
A Survey of Multi-label Text Classification Based on Deep Learning. ICAIS (1) 2022: 443-456 - [c19]Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng:
A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media. ICAIS (1) 2022: 573-582 - [i14]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i13]Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu:
Geometry-aware Single-image Full-body Human Relighting. CoRR abs/2207.04750 (2022) - [i12]Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. CoRR abs/2212.11677 (2022) - 2021
- [j14]Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng:
A review of Chinese named entity recognition. KSII Trans. Internet Inf. Syst. 15(6): 2012-2030 (2021) - [j13]Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying:
GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation. IEEE J. Biomed. Health Informatics 25(4): 1185-1196 (2021) - [j12]Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li:
Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations. IEEE J. Biomed. Health Informatics 25(5): 1673-1685 (2021) - [j11]Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu:
End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network. IEEE Trans. Medical Imaging 40(1): 116-128 (2021) - [c18]Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang:
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. BIBM 2021: 2072-2079 - [c17]Hao Yang, Yong Zhang, Jingxin Liu, Hui Li, Jinyang Song, Jieren Cheng, Xiulai Li:
Intrusion Detection Method Based on Small Sample Learning. DMBD (2) 2021: 122-134 - [c16]Le Liu, Jieren Cheng, Luyi Xie, Jinyang Song, Ke Zhou, Jingxin Liu:
A Transfer Learning Method Based on ResNet Model. DMBD (1) 2021: 250-260 - [c15]Jingxin Liu, Jieren Cheng, Bo Wu, Dongwan Xia, Dengfang Feng, Xiulai Li:
Chinese Named Entity Recognition Incorporating Multi-scale Features. DMBD (1) 2021: 336-347 - [c14]Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu:
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 73-76 - [i11]Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu:
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. CoRR abs/2109.00965 (2021) - 2020
- [j10]Huiying Li, Xiaoqing Zhao, Anyang Su, Haitao Zhang, Jingxin Liu, Guiying Gu:
Color Space Transformation and Multi-Class Weighted Loss for Adhesive White Blood Cell Segmentation. IEEE Access 8: 24808-24818 (2020) - [j9]Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, Guoping Qiu:
Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images. Bioinform. 36(10): 3225-3233 (2020) - [j8]Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu:
Class-aware domain adaptation for improving adversarial robustness. Image Vis. Comput. 99: 103926 (2020) - [j7]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu:
Discovering influential factors in variational autoencoders. Pattern Recognit. 100: 107166 (2020) - [j6]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. IEEE Trans. Medical Imaging 39(6): 1930-1941 (2020) - [c13]Jingxin Liu, Zhong Zhang, Lihui Zu, Hairihan Wang, Yutong Zhong:
Intelligent Detection for CT Image of COVID-19 using Deep Learning. CISP-BMEI 2020: 76-81 - [c12]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
End-to-End Illuminant Estimation Based on Deep Metric Learning. CVPR 2020: 3613-3622 - [i10]Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song:
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs. CoRR abs/2003.09902 (2020) - [i9]Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu:
Class-Aware Domain Adaptation for Improving Adversarial Robustness. CoRR abs/2005.04564 (2020)
2010 – 2019
- 2019
- [b1]Jingxin Liu:
Brainwave-based human emotion estimation using deep neural network models for biofeedback. Brunel University, UK, 2019 - [j5]Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu:
Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. IEEE Access 7: 21623-21634 (2019) - [j4]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
Deep reinforcement learning-based patch selection for illuminant estimation. Image Vis. Comput. 91 (2019) - [j3]Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu:
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Trans. Medical Imaging 38(2): 617-628 (2019) - [c11]Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. CVPR Workshops 2019: 1738-1747 - [c10]Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu:
Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior. ICIP 2019: 3576-3580 - [c9]Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu:
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. ISBI 2019: 28-31 - [c8]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. ISBI 2019: 914-918 - [c7]Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. MICCAI (2) 2019: 101-109 - [i8]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. CoRR abs/1902.10946 (2019) - [i7]Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu:
Learning Deep Image Priors for Blind Image Denoising. CoRR abs/1906.01259 (2019) - [i6]Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song:
An alarm prediction framework for financial IT system using hybrid machine learning methods. CoRR abs/1907.12778 (2019) - [i5]Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu:
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. CoRR abs/1909.11524 (2019) - 2018
- [j2]Xianxu Hou, Yuanhao Gong, Bozhi Liu, Ke Sun, Jingxin Liu, Bolei Xu, Jiang Duan, Guoping Qiu:
Learning Based Image Transformation Using Convolutional Neural Networks. IEEE Access 6: 49779-49792 (2018) - [j1]Jingxin Liu, Hongying Meng, Maozhen Li, Fan Zhang, Rui Qin, Asoke K. Nandi:
Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction. Concurr. Comput. Pract. Exp. 30(23) (2018) - [c6]Jingxin Liu, Dengxu He:
An Mutational Multi-Verse Optimizer with Lévy Flight. ICIC (1) 2018: 841-853 - [i4]Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu:
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. CoRR abs/1801.06288 (2018) - [i3]Zhenxin Wang, Sayan Sarcar, Jingxin Liu, Yilin Zheng, Xiangshi Ren:
Outline Objects using Deep Reinforcement Learning. CoRR abs/1804.04603 (2018) - [i2]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. CoRR abs/1809.01804 (2018) - 2017
- [c5]Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu:
HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. ISBI 2017: 1019-1023 - [i1]Honglei Ren, You Song, Jingxin Liu, Yucheng Hu, Jinzhi Lei:
A Deep Learning Approach to the Prediction of Short-term Traffic Accident Risk. CoRR abs/1710.09543 (2017) - 2016
- [c4]Chi Zheng, Jingxin Liu, Guoping Qiu:
Tuberculosis bacteria detection based on Random Forest using fluorescent images. CISP-BMEI 2016: 553-558 - [c3]Jingxin Liu, Hongying Meng, Asoke K. Nandi, Maozhen Li:
Emotion detection from EEG recordings. ICNC-FSKD 2016: 1722-1727 - [c2]Jingxin Liu, Guoping Qiu, LinLin Shen:
Luminance Adaptive Biomarker Detection in Digital Pathology Images. MIUA 2016: 113-118 - 2015
- [c1]Yona Falinie A. Gaus, Temitayo A. Olugbade, Asim Jan, Rui Qin, Jingxin Liu, Fan Zhang, Hongying Meng, Nadia Bianchi-Berthouze:
Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets. ICMI 2015: 399-406
Coauthor Index
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