Qinghua Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
Unsupervised domain adaptation via feature transfer learning based on elastic embedding.
Int. J. Mach. Learn. Cybern., August, 2024

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

How adversarial attacks can disrupt seemingly stable accurate classifiers.
Neural Networks, 2024

Adaptive prescribed performance tracking control for uncertain nonlinear systems with unknown backlash-like hysteresis.
J. Syst. Control. Eng., 2024

Coping with AI errors with provable guarantees.
Inf. Sci., 2024

Stealth edits for provably fixing or attacking large language models.
CoRR, 2024

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
CoRR, 2024

Deep learning in crowd counting: A survey.
CAAI Trans. Intell. Technol., 2024

Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
Proceedings of the International Joint Conference on Neural Networks, 2024

Accelerating Large Language Model Training with Hybrid GPU-based Compression.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst., December, 2023

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets.
Knowl. Based Syst., November, 2023

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data.
Neural Networks, October, 2023

SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and Segmentation.
Adv. Intell. Syst., October, 2023

A Survey of Deep Learning for Alzheimer's Disease.
Mach. Learn. Knowl. Extr., March, 2023

Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity.
Knowl. Based Syst., March, 2023

Deep learning in food category recognition.
Inf. Fusion, 2023

Multi-Needle Particle Implantation Computer Assisted Surgery Based on Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data.
Proceedings of the International Joint Conference on Neural Networks, 2023

Relative Intrinsic Dimensionality Is Intrinsic to Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023


CREPES2: A Dynamic Position and Pose Estimation System.
Proceedings of the 8th International Conference on Control, Robotics and Cybernetics, 2023

Autonomous Traversing across Floors Based on Vision for Reconfigurable Tracked Robot.
Proceedings of the 8th International Conference on Control, Robotics and Cybernetics, 2023

Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022
Transfer subspace learning joint low-rank representation and feature selection.
Multim. Tools Appl., November, 2022

Ensemble Learning With Attention-Based Multiple Instance Pooling for Classification of SPT.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Deep residual neural network based image enhancement algorithm for low dose CT images.
Multim. Tools Appl., 2022

A systematic survey of deep learning in breast cancer.
Int. J. Intell. Syst., 2022

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder.
J. Grid Comput., 2022

Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory.
Frontiers Comput. Neurosci., 2022

WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.
Comput. Methods Programs Biomed., 2022

Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters.
Proceedings of the High Performance Computing - 37th International Conference, 2022

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

A segmentation method of airway from chest CT image based on VGG-Unet neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition.
Wirel. Commun. Mob. Comput., 2021

Sensorineural hearing loss classification via deep-HLNet and few-shot learning.
Multim. Tools Appl., 2021

Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial state.
Int. J. Mach. Learn. Cybern., 2021

Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects.
Inf. Fusion, 2021

Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network.
Health Inf. Sci. Syst., 2021

Research on the Optimization Strategy of Shopping Mall Spatial Layout in Hefei Based on Space Syntax Theory.
Complex., 2021

Knowledge distillation for secondary pulmonary tuberculosis classification ensemble.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

Demystification of Few-shot and One-shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Using CNN with Bayesian optimization to identify cerebral micro-bleeds.
Mach. Vis. Appl., 2020

ROC Analysis and Significance of Transperineal Ultrasound in the Diagnosis of Stress Urinary Incontinence.
J. Medical Imaging Health Informatics, 2020

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020

Green scheduling optimization of ship plane block flow line considering carbon emission and noise.
Comput. Ind. Eng., 2020

A hierarchical and load-aware design for large message neighborhood collectives.
Proceedings of the International Conference for High Performance Computing, 2020

Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2018
Semantic multi-agent system to assist business integration: An application on supplier selection for shipbuilding yards.
Comput. Ind., 2018

A governance platform for multi-project management in shipyards.
Comput. Ind. Eng., 2018

Multiple Sclerosis Identification by Grey-Level Cooccurrence Matrix and Biogeography-Based Optimization.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2014
Seamline Network Refinement Based on Area Voronoi Diagrams With Overlap.
IEEE Trans. Geosci. Remote. Sens., 2014

Seamline Determination Based on Segmentation for Urban Image Mosaicking.
IEEE Geosci. Remote. Sens. Lett., 2014

2012
Using Multiple Objective Functions in the Dynamic Model of Metabolic Networks of Escherichia coli.
Proceedings of the Intelligent Computing Theories and Applications, 2012

2011
Constructing composite search directions with parameters in quadratic interpolation models.
J. Glob. Optim., 2011

2009
CORE: A Trust Model for Agent Coalition Formation.
Proceedings of the Fifth International Conference on Natural Computation, 2009

An Empirical Analysis of EZhou's Spatial Expansion Using Genealogy of Orientation Based on GIS.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

The Results on the Stability of Glycolytic Metabolic Networks in Different Cells.
Proceedings of the Complex Sciences, 2009

2008
Global Exponential Stability for a Class of impulsive integro-Differential equation.
Int. J. Bifurc. Chaos, 2008

2007
Global Exponential Stability and Periodic oscillations of Reaction-diffusion BAM Neural Networks with Periodic Coefficients and General Delays.
Int. J. Bifurc. Chaos, 2007

Dynamic flux balance analysis of metabolic networks using the penalty function methods.
Proceedings of the IEEE International Conference on Systems, 2007

New Results on Energy Balance Analysis of Metabolic Networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007


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