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Qinghua Zhou
Qing-hua Zhou – Qing-Hua Zhou
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Qinghua Zhou 0001
— University of Science and Technology, School of Mathematics and Physics, Qingdao, China (and 2 more)
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2020 – today
- 2024
- [j35]Ivan Yu. Tyukin
Coping with AI errors with provable guarantees. Inf. Sci. 678: 120856 (2024) - [j34]Liran Yang, Bin Lu, Qinghua Zhou, Pan Su:
Unsupervised domain adaptation via feature transfer learning based on elastic embedding. Int. J. Mach. Learn. Cybern. 15(8): 3081-3094 (2024) - [j33]Oliver J. Sutton
How adversarial attacks can disrupt seemingly stable accurate classifiers. Neural Networks 180: 106711 (2024) - [j32]Liran Yang, Qinghua Zhou, Bin Lu
Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9122-9135 (2024) - [c29]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CCGrid 2024: 196-205 - [c28]Ivan Yu. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. IJCNN 2024: 1-8 - [c27]Qinghua Zhou, Bharath Ramesh, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters. ISC 2024: 1-12 - [i8]Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR abs/2402.00899 (2024) - [i7]Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin:
Stealth edits for provably fixing or attacking large language models. CoRR abs/2406.12670 (2024) - [i6]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CoRR abs/2409.02423 (2024) - 2023
- [j31]Lijia Deng
SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and Segmentation. Adv. Intell. Syst. 5(10) (2023) - [j30]Qinghua Zhou
A new segment method for pulmonary artery and vein. Health Inf. Sci. Syst. 11(1): 47 (2023) - [j29]Yudong Zhang
Deep learning in food category recognition. Inf. Fusion 98: 101859 (2023) - [j28]Liran Yang, Bin Lu
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity. Knowl. Based Syst. 263: 110277 (2023) - [j27]Hengde Zhu
MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets. Knowl. Based Syst. 280: 111035 (2023) - [j26]Qinghua Zhou, Jiaji Wang
A Survey of Deep Learning for Alzheimer's Disease. Mach. Learn. Knowl. Extr. 5(2): 611-668 (2023) - [j25]Qinghua Zhou
Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data. Neural Networks 167: 380-399 (2023) - [c26]Pouya Kousha
Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data. Bench 2023: 104-119 - [c25]Zhenjun Ying, Qinghua Zhou:
CREPES2: A Dynamic Position and Pose Estimation System. CRC 2023: 1-6 - [c24]Hanbin Xie, Qinghua Zhou:
Autonomous Traversing across Floors Based on Vision for Reconfigurable Tracked Robot. CRC 2023: 14-19 - [c23]Bo Peng, Eric Alcaide, Quentin Anthony
RWKV: Reinventing RNNs for the Transformer Era. EMNLP (Findings) 2023: 14048-14077 - [c22]Oliver J. Sutton
Relative Intrinsic Dimensionality Is Intrinsic to Learning. ICANN (1) 2023: 516-529 - [c21]Alexander Bastounis
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. ICANN (1) 2023: 530-541 - [c20]Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN 2023: 1-8 - [c19]Qinghua Zhou, Quentin Anthony, Lang Xu, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication. IPDPS 2023: 134-144 - [c18]Chen-Chun Chen
MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators. SC Workshops 2023: 847-854 - [c17]Wenjun Tan, Jinsong Wang, Peifang Huang, Guangqiang Yang, Qinghua Zhou:
Multi-Needle Particle Implantation Computer Assisted Surgery Based on Virtual Reality. VR Workshops 2023: 835-836 - [i5]Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham:
How adversarial attacks can disrupt seemingly stable accurate classifiers. CoRR abs/2309.03665 (2023) - [i4]Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR abs/2309.07072 (2023) - [i3]Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative intrinsic dimensionality is intrinsic to learning. CoRR abs/2311.07579 (2023) - 2022
- [j24]Qinghua Zhou
WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections. Comput. Methods Programs Biomed. 221: 106883 (2022) - [j23]Qinghua Zhou, Yiran Zheng:
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory. Frontiers Comput. Neurosci. 16 (2022) - [j22]Shui-Hua Wang, Suresh Chandra Satapathy, Qinghua Zhou, Xin Zhang, Yu-Dong Zhang
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder. J. Grid Comput. 20(1): 1 (2022) - [j21]Xiang Yu
A systematic survey of deep learning in breast cancer. Int. J. Intell. Syst. 37(1): 152-216 (2022) - [j20]Kaijian Xia, Qinghua Zhou, Yizhang Jiang, Bo Chen, Xiaoqing Gu
Deep residual neural network based image enhancement algorithm for low dose CT images. Multim. Tools Appl. 81(25): 36007-36030 (2022) - [j19]Liran Yang, Qinghua Zhou
Transfer subspace learning joint low-rank representation and feature selection. Multim. Tools Appl. 81(27): 38353-38373 (2022) - [j18]Qinghua Zhou, Xin Zhang, Yu-Dong Zhang
Ensemble Learning With Attention-Based Multiple Instance Pooling for Classification of SPT. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1927-1931 (2022) - [c16]Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan:
A segmentation method of airway from chest CT image based on VGG-Unet neural network. BIBM 2022: 1702-1705 - [c15]Qinghua Zhou, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads. HIPC 2022: 22-31 - [c14]Bharath Ramesh, Qinghua Zhou, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries. HIPC 2022: 95-99 - [c13]Qinghua Zhou, Alexander N. Gorban
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN 2022: 1-8 - [c12]Qinghua Zhou, Pouya Kousha
Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters. ISC 2022: 3-25 - [i2]Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR abs/2203.16687 (2022) - 2021
- [j17]Qinghua Zhou
Research on the Optimization Strategy of Shopping Mall Spatial Layout in Hefei Based on Space Syntax Theory. Complex. 2021: 5535738:1-5535738:9 (2021) - [j16]Wenjun Tan
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network. Health Inf. Sci. Syst. 9(1): 10 (2021) - [j15]Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Inf. Fusion 76: 376-421 (2021) - [j14]Yan Geng
Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial state. Int. J. Mach. Learn. Cybern. 12(8): 2327-2337 (2021) - [j13]Xi Chen, Qinghua Zhou, Rushi Lan, Shui-Hua Wang, Yu-Dong Zhang
Sensorineural hearing loss classification via deep-HLNet and few-shot learning. Multim. Tools Appl. 80(2): 2109-2122 (2021) - [j12]Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven Lawrence Fernandes, Qinghua Zhou, Yu-Dong Zhang
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition. Wirel. Commun. Mob. Comput. 2021: 5792975:1-5792975:17 (2021) - [c11]Ivan Yu. Tyukin
Demystification of Few-shot and One-shot Learning. IJCNN 2021: 1-7 - [c10]Qinghua Zhou, Hengde Zhu
Knowledge distillation for secondary pulmonary tuberculosis classification ensemble. UCC Companion 2021: 4:1-4:5 - [i1]Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou:
Demystification of Few-shot and One-shot Learning. CoRR abs/2104.12174 (2021) - 2020
- [j11]Hui Guo
Green scheduling optimization of ship plane block flow line considering carbon emission and noise. Comput. Ind. Eng. 148: 106680 (2020) - [j10]Yu-Dong Zhang
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf. Fusion 64: 149-187 (2020) - [j9]Shuhao Deng, Quan Jiang, Yongbing Wang, Qinghua Zhou, Yuan Zhang:
ROC Analysis and Significance of Transperineal Ultrasound in the Diagnosis of Stress Urinary Incontinence. J. Medical Imaging Health Informatics 10(1): 113-117 (2020) - [j8]Piyush Doke, Dhiraj Shrivastava, Chichun Pan, Qinghua Zhou, Yu-Dong Zhang
Using CNN with Bayesian optimization to identify cerebral micro-bleeds. Mach. Vis. Appl. 31(5): 36 (2020) - [c9]Ching-Hsiang Chu
Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters. CLUSTER 2020: 130-141 - [c8]S. Mahdieh Ghazimirsaeed, Qinghua Zhou, Amit Ruhela
A hierarchical and load-aware design for large message neighborhood collectives. SC 2020: 34
2010 – 2019
- 2018
- [j7]Jinghua Li, Miaomiao Sun
A governance platform for multi-project management in shipyards. Comput. Ind. Eng. 120: 179-191 (2018) - [j6]Jinghua Li, Miaomiao Sun, Duanfeng Han, Xiaoyuan Wu, Boxin Yang, Xuezhang Mao, Qinghua Zhou
Semantic multi-agent system to assist business integration: An application on supplier selection for shipbuilding yards. Comput. Ind. 96: 10-26 (2018) - [c7]Qinghua Zhou, Xiaoqing Shen:
Multiple Sclerosis Identification by Grey-Level Cooccurrence Matrix and Biogeography-Based Optimization. DSP 2018: 1-5 - 2014
- [j5]Jun Pan, Qinghua Zhou, Mi Wang:
Seamline Determination Based on Segmentation for Urban Image Mosaicking. IEEE Geosci. Remote. Sens. Lett. 11(8): 1335-1339 (2014) - [j4]Jun Pan, Mi Wang, Di Ma, Qinghua Zhou, Junli Li:
Seamline Network Refinement Based on Area Voronoi Diagrams With Overlap. IEEE Trans. Geosci. Remote. Sens. 52(3): 1658-1666 (2014) - 2012
- [c6]Qing-Hua Zhou, Jing Cui, Juan Xie:
Using Multiple Objective Functions in the Dynamic Model of Metabolic Networks of Escherichia coli. ICIC (2) 2012: 151-158 - 2011
- [j3]Qinghua Zhou, Yan Li, Minghu Ha:
Constructing composite search directions with parameters in quadratic interpolation models. J. Glob. Optim. 51(2): 313-324 (2011)
2000 – 2009
- 2009
- [c5]Qinghua Zhou, Gang Peng
The Results on the Stability of Glycolytic Metabolic Networks in Different Cells. Complex (1) 2009: 536-540 - [c4]Qinghua Zhou, Bing He, Kun Wang:
An Empirical Analysis of EZhou's Spatial Expansion Using Genealogy of Orientation Based on GIS. CSO (2) 2009: 167-171 - [c3]Qing-hua Zhou, Chong-Jun Wang, Jun-Yuan Xie:
CORE: A Trust Model for Agent Coalition Formation. ICNC (5) 2009: 541-545 - 2008
- [j2]Qinghua Zhou:
Global Exponential Stability for a Class of impulsive integro-Differential equation. Int. J. Bifurc. Chaos 18(3): 735-743 (2008) - 2007
- [j1]Qinghua Zhou, Jianhua Sun, Guanrong Chen
Global Exponential Stability and Periodic oscillations of Reaction-diffusion BAM Neural Networks with Periodic Coefficients and General Delays. Int. J. Bifurc. Chaos 17(1): 129-142 (2007) - [c2]Qinghua Zhou, Simon C. K. Shiu, Sankar K. Pal, Yan Li:
New Results on Energy Balance Analysis of Metabolic Networks. PReMI 2007: 433-438 - [c1]Qinghua Zhou, Dan Wang, Momiao Xiong:
Dynamic flux balance analysis of metabolic networks using the penalty function methods. SMC 2007: 3594-3599
Coauthor Index
Dhabaleswar K. Panda 0001
aka: Dhabaleswar K. D. K. Panda
aka: Dhabaleswar K. D. K. Panda
Ivan Tyukin
aka: Ivan Yu. Tyukin
aka: Ivan Yu. Tyukin
Shuihua Wang
aka: Shui-Hua Wang
aka: Shui-Hua Wang
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last updated on 2024-11-19 20:47 CET by the dblp team
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