Jingxin Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Topics

Illuminant Estimation

Image Segmentation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu
On the Federated Learning Framework for Cooperative Perception. CoRR (2024)
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) (2024)
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu
A Dataset and Model for Realistic License Plate Deblurring. CoRR (2024)
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) (2024)
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 (2024)
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) (2023)
Xi Long, Jingxin Liu, Xianxu Hou
Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. ICIP (2023)
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 (2023)
Jingxin Liu, Xiaofeng Liao
A Projection Neural Network to Nonsmooth Constrained Pseudoconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
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) (2023)
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 (2023)
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)
Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori
A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization. Neural Networks 160 (2023)
Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. CoRR (2022)
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)
Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu
Geometry-aware Single-image Full-body Human Relighting. CoRR (2022)
Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu
Geometry-Aware Single-Image Full-Body Human Relighting. ECCV (16) (2022)
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 (2022)
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) (2022)
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) (2022)
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)
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 (2022)
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)
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)
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)
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) (2021)
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) (2021)
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) (2021)
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)
Jingxin Liu, Jieren Cheng, Bo Wu, Dongwan Xia, Dengfang Feng, Xiulai Li
Chinese Named Entity Recognition Incorporating Multi-scale Features. DMBD (1) (2021)
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) (2021)
Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. CoRR (2021)
Le Liu, Jieren Cheng, Luyi Xie, Jinyang Song, Ke Zhou, Jingxin Liu
A Transfer Learning Method Based on ResNet Model. DMBD (1) (2021)
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) (2020)
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 (2020)
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) (2020)
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 (2020)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu
End-to-End Illuminant Estimation Based on Deep Metric Learning. CVPR (2020)
Jingxin Liu, Zhong Zhang, Lihui Zu, Hairihan Wang, Yutong Zhong
Intelligent Detection for CT Image of COVID-19 using Deep Learning. CISP-BMEI (2020)
Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs. CoRR (2020)
Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu
Class-aware domain adaptation for improving adversarial robustness. Image Vis. Comput. 99 (2020)
Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu
Class-Aware Domain Adaptation for Improving Adversarial Robustness. CoRR (2020)
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)
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)
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) (2019)
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 (2019)
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 (2019)
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 (2019)
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)
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)
Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu
Deep reinforcement learning-based patch selection for illuminant estimation. Image Vis. Comput. 91 (2019)
Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu
Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets. IEEE Access 7 (2019)
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 (2019)
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)
Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng
Discovering Influential Factors in Variational Autoencoder. CoRR (2018)
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 (2018)
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 (2018)
Zhenxin Wang, Sayan Sarcar, Jingxin Liu, Yilin Zheng, Xiangshi Ren
Outline Objects using Deep Reinforcement Learning. CoRR (2018)
Jingxin Liu, Dengxu He
An Mutational Multi-Verse Optimizer with Lévy Flight. ICIC (1) (2018)
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)
Honglei Ren, You Song, Jingxin Liu, Yucheng Hu, Jinzhi Lei
A Deep Learning Approach to the Prediction of Short-term Traffic Accident Risk. CoRR (2017)
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)
Jingxin Liu, Guoping Qiu, LinLin Shen
Luminance Adaptive Biomarker Detection in Digital Pathology Images. MIUA (2016)
Jingxin Liu, Hongying Meng, Asoke K. Nandi, Maozhen Li
Emotion detection from EEG recordings. ICNC-FSKD (2016)
Chi Zheng, Jingxin Liu, Guoping Qiu
Tuberculosis bacteria detection based on Random Forest using fluorescent images. CISP-BMEI (2016)
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)