Jingxin Liu

According to our database, Jingxin Liu authored at least 70 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

On the Federated Learning Framework for Cooperative Perception.

Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu

IEEE Robotics Autom. Lett., November, 2024

Continuous-Time Distributed Generalized Nash Equilibrium Seeking in Nonsmooth Fuzzy Aggregative Games.

Jingxin Liu, Xiaofeng Liao, Jin Song Dong, Amin Mansoori

IEEE Trans. Control. Netw. Syst., September, 2024

Dual Contrastive Learning Network for Graph Clustering.

Xin Peng, Jieren Cheng, Xiangyan Tang, Jingxin Liu, Jiahua Wu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

MobileSky: Real-Time Sky Replacement for Mobile AR.

Xinjie Wang, Qingxuan Lv, Guo Chen, Jing Zhang, Zhiqiang Wei, Junyu Dong, Hongbo Fu, Zhipeng Zhu, Jingxin Liu, Xiaogang Jin

IEEE Trans. Vis. Comput. Graph., July, 2024

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization.

Jingxin Liu, Xiaofeng Liao, Jin-song Dong

IEEE Trans. Neural Networks Learn. Syst., July, 2024

DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition.

Jingxin Liu, Mengzhe Sun, Wenhao Zhang, Gengquan Xie, Yongxia Jing, Xiulai Li, Zhaoxin Shi

Comput. Speech Lang., April, 2024

A Quaternion-Valued Neural Network Approach to Nonsmooth Nonconvex Constrained Optimization in Quaternion Domain.

Jingxin Liu, Xiaofeng Liao, Jin-song Dong

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Hao Jiang, Jingxin Liu, You Song, Jinzhi Lei

J. Comput. Biol., January, 2024

SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation.

Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu

Expert Syst. Appl., 2024

A multi-task fusion model based on a residual-Multi-layer perceptron network for mammographic breast cancer screening.

Yutong Zhong, Yan Piao, Baolin Tan, Jingxin Liu

Comput. Methods Programs Biomed., 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.

Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng

Artif. Intell. Medicine, 2024

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring.

Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model.

Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Stage Transformer Fusion for Efficient Intracranial Hemorrhage Subtype Classification.

Yunze Wang, Angelos Stefanidis, Jingxin Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Dataset and Model for Realistic License Plate Deblurring.

Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

An Enhanced Spotted Hyena Optimization Algorithm and its Application to Engineering Design Scenario.

Luna Fan, Jie Li, Jingxin Liu

Int. J. Artif. Intell. Tools, September, 2023

A Projection Neural Network to Nonsmooth Constrained Pseudoconvex Optimization.

Jingxin Liu, Xiaofeng Liao

IEEE Trans. Neural Networks Learn. Syst., April, 2023

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori

Neural Networks, April, 2023

A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.

Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori

Neural Networks, March, 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

Medical Image Anal., 2023

An anomaly prediction framework for financial IT systems using hybrid machine learning methods.

Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song

J. Ambient Intell. Humaniz. Comput., 2023

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.

Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints.

Xi Long, Jingxin Liu, Xianxu Hou

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs.

Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song

IEEE Trans. Knowl. Data Eng., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

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

Medical Image Anal., 2022

MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition.

Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng

KSII Trans. Internet Inf. Syst., 2022

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.

Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu

CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

CoRR, 2022

Virtual chain: A storage model supporting cross-blockchain transaction.

Yan Wang, Bingqing Yang, Jingxin Liu, Hui Zeng, Changqing Xia

Concurr. Comput. Pract. Exp., 2022

A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media.

Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Survey of Multi-label Text Classification Based on Deep Learning.

Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

Geometry-Aware Single-Image Full-Body Human Relighting.

Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network.

Ruitao Xie, Jingxin Liu, Rui Cao, Connor S. Qiu, Jiang Duan, Jon Garibaldi, Guoping Qiu

IEEE Trans. Medical Imaging, 2021

GCSBA-Net: Gabor-Based and Cascade Squeeze Bi-Attention Network for Gland Segmentation.

Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying

IEEE J. Biomed. Health Informatics, 2021

Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations.

Zhe Chen, Zhao Chen, Jingxin Liu, Qiang Zheng, Yuang Zhu, Yanfei Zuo, Zhaoyu Wang, Xiaosong Guan, Yue Wang, Yuan Li

IEEE J. Biomed. Health Informatics, 2021

A review of Chinese named entity recognition.

Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng

KSII Trans. Internet Inf. Syst., 2021

Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge.

Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Intrusion Detection Method Based on Small Sample Learning.

Hao Yang, Yong Zhang, Jingxin Liu, Hui Li, Jinyang Song, Jieren Cheng, Xiulai Li

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

A Transfer Learning Method Based on ResNet Model.

Le Liu, Jieren Cheng, Luyi Xie, Jinyang Song, Ke Zhou, Jingxin Liu

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Chinese Named Entity Recognition Incorporating Multi-scale Features.

Jingxin Liu, Jieren Cheng, Bo Wu, Dongwan Xia, Dengfang Feng, Xiulai Li

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation.

Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu

IEEE Trans. Medical Imaging, 2020

Discovering influential factors in variational autoencoders.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu

Pattern Recognit., 2020

Class-aware domain adaptation for improving adversarial robustness.

Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu

Image Vis. Comput., 2020

Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images.

Jie Shu, Jingxin Liu, Yongmei Zhang, Hao Fu, Mohammad Ilyas, Giuseppe Faraci, Vincenzo Della Mea, Bozhi Liu, Guoping Qiu

Bioinform., 2020

Color Space Transformation and Multi-Class Weighted Loss for Adhesive White Blood Cell Segmentation.

Huiying Li, Xiaoqing Zhao, Anyang Su, Haitao Zhang, Jingxin Liu, Guiying Gu

IEEE Access, 2020

End-to-End Illuminant Estimation Based on Deep Metric Learning.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Intelligent Detection for CT Image of COVID-19 using Deep Learning.

Jingxin Liu, Zhong Zhang, Lihui Zu, Hairihan Wang, Yutong Zhong

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019

Brainwave-based human emotion estimation using deep neural network models for biofeedback

Jingxin Liu

PhD thesis, 2019

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu

IEEE Trans. Medical Imaging, 2019

Deep reinforcement learning-based patch selection for illuminant estimation.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu

Image Vis. Comput., 2019

An alarm prediction framework for financial IT system using hybrid machine learning methods.

Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song

CoRR, 2019

Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets.

Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu

IEEE Access, 2019

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.

Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian O. Ellis, Jon Garibaldi, Guoping Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification.

Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network.

Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Soft Tissue Removal in X-Ray Images by Half Window Dark Channel Prior.

Yuanhao Gong, Hui Yin, Jingxin Liu, Bozhi Liu, Guoping Qiu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Deep Image Priors for Blind Image Denoising.

Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Discovering Influential Factors in Variational Autoencoder.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng

CoRR, 2018

Outline Objects using Deep Reinforcement Learning.

Zhenxin Wang, Sayan Sarcar, Jingxin Liu, Yilin Zheng, Xiangshi Ren

CoRR, 2018

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.

Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu

CoRR, 2018

Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction.

Jingxin Liu, Hongying Meng, Maozhen Li, Fan Zhang, Rui Qin, Asoke K. Nandi

Concurr. Comput. Pract. Exp., 2018

Learning Based Image Transformation Using Convolutional Neural Networks.

Xianxu Hou, Yuanhao Gong, Bozhi Liu, Ke Sun, Jingxin Liu, Bolei Xu, Jiang Duan, Guoping Qiu

IEEE Access, 2018

An Mutational Multi-Verse Optimizer with Lévy Flight.

Jingxin Liu, Dengxu He

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

A Deep Learning Approach to the Prediction of Short-term Traffic Accident Risk.

Honglei Ren, You Song, Jingxin Liu, Yucheng Hu, Jinzhi Lei

CoRR, 2017

HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network.

Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Luminance Adaptive Biomarker Detection in Digital Pathology Images.

Jingxin Liu, Guoping Qiu, LinLin Shen

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Emotion detection from EEG recordings.

Jingxin Liu, Hongying Meng, Asoke K. Nandi, Maozhen Li

Proceedings of the 12th International Conference on Natural Computation, 2016

Tuberculosis bacteria detection based on Random Forest using fluorescent images.

Chi Zheng, Jingxin Liu, Guoping Qiu

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015

Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets.

Yona Falinie A. Gaus, Temitayo A. Olugbade, Asim Jan, Rui Qin, Jingxin Liu, Fan Zhang, Hongying Meng, Nadia Bianchi-Berthouze

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015