Qinghua Zhou - researchr alias

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Viewing Publication 1 - 68 from 68

2023

Deep learning in food category recognitionYudong Zhang 0001, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang. inffus, 98:101859, 2023. [doi]

MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various AcceleratorsChen-Chun Chen, Kawthar Shafie Khorassani, Pouya Kousha, Qinghua Zhou, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda 0001. sc 2023: 847-854 [doi]

SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and SegmentationLijia Deng, Qinghua Zhou, Shuihua Wang, Yudong Zhang 0001. aisy, 5(10), October 2023. [doi]

Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication DataPouya Kousha, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda 0001. bench 2024: 104-119 [doi]

Multi-Needle Particle Implantation Computer Assisted Surgery Based on Virtual RealityWenjun Tan, Jinsong Wang, Peifang Huang, Guangqiang Yang, Qinghua Zhou. vr 2023: 835-836 [doi]

Autonomous Traversing across Floors Based on Vision for Reconfigurable Tracked RobotHanbin Xie, Qinghua Zhou. crc 2023: 14-19 [doi]

Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsityLiran Yang, Bin Lu, Qinghua Zhou, Pan Su. kbs, 263:110277, March 2023. [doi]

CREPES2: A Dynamic Position and Pose Estimation SystemZhenjun Ying, Qinghua Zhou. crc 2023: 1-6 [doi]

Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter CommunicationQinghua Zhou, Quentin Anthony, Lang Xu, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda 0001. ipps 2023: 134-144 [doi]

Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional dataQinghua Zhou, Oliver J. Sutton, Yudong Zhang 0001, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin. ijcnn 2023: 1-8 [doi]

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size dataQinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang 0071, Yudong Zhang 0001. NN, 167:380-399, October 2023. [doi]

A Survey of Deep Learning for Alzheimer's DiseaseQinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang, Yudong Zhang 0001. make, 5(1):611-668, March 2023. [doi]

A new segment method for pulmonary artery and veinQinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao. hisas, 11(1):47, December 2023. [doi]

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNetsHengde Zhu, Wei Wang 0357, Irek Ulidowski, Qinghua Zhou, Shuihua Wang, Huafeng Chen, Yudong Zhang 0001. kbs, 280:111035, November 2023. [doi]

2022

Designing Efficient Pipelined Communication Schemes using Compression in MPI LibrariesBharath Ramesh 0005, Qinghua Zhou, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda 0001. hipc 2022: 95-99 [doi]

A segmentation method of airway from chest CT image based on VGG-Unet neural networkWei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan. bibm 2022: 1702-1705 [doi]

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse AutoencoderShui-Hua Wang, Suresh Chandra Satapathy, Qinghua Zhou, Xin Zhang, Yu-Dong Zhang 0001. grid, 20(1):1, 2022. [doi]

Deep residual neural network based image enhancement algorithm for low dose CT imagesKaijian Xia, Qinghua Zhou, Yizhang Jiang, Bo Chen, Xiaoqing Gu. mta, 81(25):36007-36030, 2022. [doi]

Transfer subspace learning joint low-rank representation and feature selectionLiran Yang, Qinghua Zhou. mta, 81(27):38353-38373, November 2022. [doi]

A systematic survey of deep learning in breast cancerXiang Yu, Qinghua Zhou, Shuihua Wang, Yudong Zhang 0001. ijis, 37(1):152-216, 2022. [doi]

Accelerating MPI All-to-All Communication with Online Compression on Modern GPU ClustersQinghua Zhou, Pouya Kousha, Quentin Anthony, Kawthar Shafie Khorassani, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda 0001. supercomputer 2022: 3-25 [doi]

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisationQinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin. ijcnn 2022: 1-8 [doi]

Accelerating Broadcast Communication with GPU Compression for Deep Learning WorkloadsQinghua Zhou, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda 0001. hipc 2022: 22-31 [doi]

Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theoryQinghua Zhou, Yiran Zheng. ficn, 16, 2022. [doi]

WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infectionsQinghua Zhou, Shuihua Wang, Xin Zhang 0071, Yu-Dong Zhang 0001. cmpb, 221:106883, 2022. [doi]

Ensemble Learning With Attention-Based Multiple Instance Pooling for Classification of SPTQinghua Zhou, Xin Zhang, Yu-Dong Zhang 0001. tcasII, 69(3):1927-1931, 2022. [doi]

2021

Sensorineural hearing loss classification via deep-HLNet and few-shot learningXi Chen, Qinghua Zhou, Rushi Lan, Shui-Hua Wang, Yu-Dong Zhang 0001, Xiaonan Luo. mta, 80(2):2109-2122, 2021. [doi]

Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial stateYan Geng, Xiaoe Ruan, Qinghua Zhou, Xuan Yang. mlc, 12(8):2327-2337, 2021. [doi]

Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural networkWenjun Tan, Pan Liu, Xiaoshuo Li, Yao Liu, Qinghua Zhou, Chao Chen, Zhaoxuan Gong, Xiaoxia Yin, Yanchun Zhang. hisas, 9(1):10, 2021. [doi]

Demystification of Few-shot and One-shot LearningIvan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou. ijcnn 2021: 1-7 [doi]

Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and ProspectsShuihua Wang, M. Emre Celebi, Yu-Dong Zhang 0001, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Miguel Martinez-Garcia, Yingli Tian, Juan Manuel Górriz, Ivan Tyukin. inffus, 76:376-421, 2021. [doi]

SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot RecognitionShui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven L. Fernandes, Qinghua Zhou, Yu-Dong Zhang, Jian Sun. wicomm, 2021, 2021. [doi]

Knowledge distillation for secondary pulmonary tuberculosis classification ensembleQinghua Zhou, Hengde Zhu, Xin Zhang, Yudong Zhang. ucc 2021: [doi]

Research on the Optimization Strategy of Shopping Mall Spatial Layout in Hefei Based on Space Syntax TheoryQinghua Zhou, Ziqi Liu. complexity, 2021, 2021. [doi]

2020

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientationYu-Dong Zhang 0001, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez 0001, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz. inffus, 64:149-187, 2020. [doi]

Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU ClustersChing-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda. cluster 2020: 130-141 [doi]

ROC Analysis and Significance of Transperineal Ultrasound in the Diagnosis of Stress Urinary IncontinenceShuhao Deng, Quan Jiang, Yongbing Wang, Qinghua Zhou, Yuan Zhang. jmihi, 10(1):113-117, 2020. [doi]

Using CNN with Bayesian optimization to identify cerebral micro-bleedsPiyush Doke, Dhiraj Shrivastava, Chichun Pan, Qinghua Zhou, Yu-Dong Zhang. mva, 31(5):36, 2020. [doi]

A hierarchical and load-aware design for large message neighborhood collectivesS. Mahdieh Ghazimirsaeed, Qinghua Zhou, Amit Ruhela, Mohammadreza Bayatpour. sc 2020: 34 [doi]

Green scheduling optimization of ship plane block flow line considering carbon emission and noiseHui Guo, Jinghua Li, Boxin Yang, Xuezhang Mao, Qinghua Zhou. candie, 148:106680, 2020. [doi]

Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying DelaysLi Wan, Qinghua Zhou. access, 8:27618-27623, 2020. [doi]

2018

2016

Pullback attractor for Cohen-Grossberg neural networks with time-varying delaysQinghua Zhou, Li Wan, Hongbo Fu, Qunjiao Zhang. ijon, 171:510-514, 2016. [doi]

2014

Seamline Network Refinement Based on Area Voronoi Diagrams With OverlapJun Pan, Mi Wang, Di Ma, Qinghua Zhou, Junli Li. tgrs, 52(3):1658-1666, 2014. [doi]

Seamline Determination Based on Segmentation for Urban Image MosaickingJun Pan, Qinghua Zhou, Mi Wang. lgrs, 11(8):1335-1339, 2014. [doi]

2013

Asymptotic behaviors of stochastic Cohen-Grossberg neural networks with mixed time-delaysLi Wan, Qinghua Zhou. amc, 225:541-549, 2013. [doi]

2012

Attractor and boundedness for stochastic Cohen-Grossberg neural networks with delaysLi Wan, Qinghua Zhou. ijon, 79:164-167, 2012. [doi]

2011

Ultimate boundedness of stochastic Hopfield neural networks with time-varying delaysLi Wan, Qinghua Zhou, Pei Wang. ijon, 74(17):2967-2971, 2011. [doi]

Constructing composite search directions with parameters in quadratic interpolation modelsQinghua Zhou, Yan Li, Minghu Ha. jgo, 51(2):313-324, 2011. [doi]

2010

2009

The Results on the Stability of Glycolytic Metabolic Networks in Different CellsQinghua Zhou, Gang Peng, Li Jin, Momiao Xiong. bertinoro 2009: 536-540 [doi]

An Empirical Analysis of EZhou s Spatial Expansion Using Genealogy of Orientation Based on GISQinghua Zhou, Bing He, Kun Wang. cso 2009: 167-171 [doi]

Impulsive Effects on Stability of a Class of Nonlinear Neural Networks with Multiple DelaysQinghua Zhou, Li Wan, Qunjiao Zhang. IJBC, 19(9):3143-3148, 2009. [doi]

2008

Periodic Solution of Stochastic Recurrent Neural Networks with DelaysLi Wan, Qinghua Zhou. icnc 2008: 505-509 [doi]

Exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with delaysLi Wan, Qinghua Zhou. amc, 206(2):818-824, 2008. [doi]

Exponential stability of stochastic delayed Hopfield neural networksQinghua Zhou, Li Wan. amc, 199(1):84-89, 2008. [doi]

Global Exponential Stability for a Class of impulsive integro-Differential equationQinghua Zhou. IJBC, 18(3):735-743, 2008. [doi]

2007

Mean Value Exponential Stability of Stochastic Reaction-diffusion Generalized Cohen-grossberg Neural Networks with Time-Varying DelayLi Wan, Qinghua Zhou, Jianhua Sun. IJBC, 17(9):3219-3227, 2007. [doi]

Exponential Stability of Reaction-diffusion Fuzzy Recurrent Neural Networks with Time-Varying DelaysQinghua Zhou, Li Wan, Jianhua Sun. IJBC, 17(9):3099-3108, 2007. [doi]

Global Exponential Stability and Periodic oscillations of Reaction-diffusion BAM Neural Networks with Periodic Coefficients and General DelaysQinghua Zhou, Jianhua Sun, Guanrong Chen. IJBC, 17(1):129-142, 2007. [doi]

Dynamic flux balance analysis of metabolic networks using the penalty function methodsQinghua Zhou, Dan Wang, Momiao Xiong. SMC 2007: 3594-3599 [doi]

New Results on Energy Balance Analysis of Metabolic NetworksQinghua Zhou, Simon C. K. Shiu, Sankar K. Pal, Yan Li. premi 2007: 433-438 [doi]

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