Xiaohong Zhang

Orcid: 0000-0002-1767-9342

Affiliations:
  • Chongqing University, School of Software Engineering, China (PhD 2006)


According to our database1, Xiaohong Zhang authored at least 118 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DeepScaling: Autoscaling Microservices With Stable CPU Utilization for Large Scale Production Cloud Systems.
IEEE/ACM Trans. Netw., October, 2024

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism.
IEEE Trans. Medical Imaging, April, 2024

End-to-end log statement generation at block-level.
J. Syst. Softw., 2024

Localization-aware logit mimicking for object detection in adverse weather conditions.
Image Vis. Comput., 2024

Guiding ChatGPT for Better Code Generation: An Empirical Study.
Proceedings of the IEEE International Conference on Software Analysis, 2024

AW4C: A Commit-Aware C Dataset for Actionable Warning Identification.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

VisRepo: A Visual Retrieval Tool for Large-Scale Open-Source Projects.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2023
Anchor-based discriminative dual distribution calibration for transductive zero-shot learning.
Image Vis. Comput., September, 2023

GSAL: Geometric structure adversarial learning for robust medical image segmentation.
Pattern Recognit., August, 2023

Learning contextual representations with copula function for medical image segmentation.
Biomed. Signal Process. Control., August, 2023

MetaFL: Metamorphic fault localisation using weakly supervised deep learning.
IET Softw., April, 2023

An empirical study of the impact of log parsers on the performance of log-based anomaly detection.
Empir. Softw. Eng., 2023

A Dual Latent State Learning Approach: Exploiting Regional Network Similarities for QoS Prediction.
CoRR, 2023

Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction.
CoRR, 2023

Improving ChatGPT Prompt for Code Generation.
CoRR, 2023

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism.
CoRR, 2023

A Feature Distribution Smoothing Network Based on Gaussian Distribution for QoS Prediction.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding.
IEEE Trans. Reliab., 2022

HSA-Net: Hidden-State-Aware Networks for High-Precision QoS Prediction.
IEEE Trans. Parallel Distributed Syst., 2022

EANet: Iterative edge attention network for medical image segmentation.
Pattern Recognit., 2022

Multi-label out-of-distribution detection via exploiting sparsity and co-occurrence of labels.
Image Vis. Comput., 2022

CGRNet: Contour-guided graph reasoning network for ambiguous biomedical image segmentation.
Biomed. Signal Process. Control., 2022

Investigating and improving log parsing in practice.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

A Probabilistic Model for Controlling Diversity and Accuracy of Ambiguous Medical Image Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dual Encoding Fusion for Atypical Lung Nodule Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data.
Proceedings of the IEEE International Conference on Web Services, 2022

DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Dual Space Multiple Instance Representative Learning for Medical Image Classification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism".
IEEE Trans. Medical Imaging, 2021

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism.
IEEE Trans. Medical Imaging, 2021

Discriminative deep semi-nonnegative matrix factorization network with similarity maximization for unsupervised feature learning.
Pattern Recognit. Lett., 2021

A comprehensive comparative study of clustering-based unsupervised defect prediction models.
J. Syst. Softw., 2021

A study of effectiveness of deep learning in locating real faults.
Inf. Softw. Technol., 2021

Feature selection and embedding based cross project framework for identifying crashing fault residence.
Inf. Softw. Technol., 2021

Co-attentive representation learning for web services classification.
Expert Syst. Appl., 2021

Multi-granularity scale-aware networks for hard pixels segmentation of pulmonary nodules.
Biomed. Signal Process. Control., 2021

Quality Assurance for Automated Commit Message Generation.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Imbalanced metric learning for crashing fault residence prediction.
J. Syst. Softw., 2020

Global Learnable Pooling With Enhancing Distinctive Feature for Image Classification.
IEEE Access, 2020

Feature Recalibration in Deep Learning via Depthwise Squeeze and Refinement Operations.
IEEE Access, 2020

Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks.
IEEE Access, 2020

Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening.
IEEE Access, 2020

Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improving Log-Based Anomaly Detection with Component-Aware Analysis.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant Lung Nodule Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition.
Neural Process. Lett., 2019

A two-phase transfer learning model for cross-project defect prediction.
Inf. Softw. Technol., 2019

Software quality assessment model: a systematic mapping study.
Sci. China Inf. Sci., 2019

Fine Grain Lung Nodule Diagnosis Based on CT Using 3D Convolutional Neural Network.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Automatic Detection of Pneumonia in Chest X-Ray Images Using Cooperative Convolutional Neural Networks.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Collaborative Representation Guided Graph Learning for Visual Classification.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Background Modeling by Stability of Adaptive Features in Complex Scenes.
IEEE Trans. Image Process., 2018

Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation.
Pattern Recognit. Lett., 2018

Exploring joint encoding of multi-direction local binary patterns for image classification.
Multim. Tools Appl., 2018

Recommending GitHub Projects for Developer Onboarding.
IEEE Access, 2018

A recommender system for developer onboarding.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Residual Inception: A New Module Combining Modified Residual with Inception to Improve Network Performance.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Cross-Project Change-Proneness Prediction.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Robust corner detection using the eigenvector-based angle estimator.
J. Vis. Commun. Image Represent., 2017

Cascaded K-means convolutional feature learner and its application to face recognition.
J. Electronic Imaging, 2017

Towards comprehending the non-functional requirements through Developers' eyes: An exploration of Stack Overflow using topic analysis.
Inf. Softw. Technol., 2017

Automated change-prone class prediction on unlabeled dataset using unsupervised method.
Inf. Softw. Technol., 2017

An approach to translating OCL invariants into OWL 2 DL axioms for checking inconsistency.
Autom. Softw. Eng., 2017

A Systematic Mapping Study of Quality Assessment Models for Software Products.
Proceedings of the 2017 International Conference on Software Analysis, 2017

Automating Aggregation for Software Quality Modeling.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

Learning to aggregate: an automated aggregation method for software quality model.
Proceedings of the 39th International Conference on Software Engineering, 2017

File-Level Defect Prediction: Unsupervised vs. Supervised Models.
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
Automatically classifying software changes via discriminative topic model: Supporting multi-category and cross-project.
J. Syst. Softw., 2016

自适应的SILTP算法在运动车辆检测中的研究 (Vehicle Detection Research Based on Adaptive SILTP Algorithm).
计算机科学, 2016

Sparse graph-based inductive learning with its application to image classification.
J. Electronic Imaging, 2016

A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis.
Inf. Softw. Technol., 2016

Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reduction.
Neurocomputing, 2016

Automated Duplicate Bug Report Detection Using Multi-Factor Analysis.
IEICE Trans. Inf. Syst., 2016

Regression-based Hypergraph Learning for Image Clustering and Classification.
CoRR, 2016

Duplication Detection for Software Bug Reports based on Topic Model.
Proceedings of the 9th International Conference on Service Science, 2016

Collaborative Sparse Preserving Projections for Feature Extraction.
Proceedings of the 9th International Conference on Service Science, 2016

Self-learning Change-prone Class Prediction.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015
Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping.
IEEE Signal Process. Lett., 2015

Class specific sparse representation for classification.
Signal Process., 2015

Laplacian Scale-Space Behavior of Planar Curve Corners.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Graph regularized linear discriminant analysis and its generalization.
Pattern Anal. Appl., 2015

Corner detection using arc length-based angle estimator.
J. Electronic Imaging, 2015

Sparse graph-based transduction for image classification.
J. Electronic Imaging, 2015

Optimization method for trajectory combination in surveillance video synopsis based on genetic algorithm.
J. Ambient Intell. Humaniz. Comput., 2015

Combined supervised information with PCA via discriminative component selection.
Inf. Process. Lett., 2015

Automated classification of software change messages by semi-supervised Latent Dirichlet Allocation.
Inf. Softw. Technol., 2015

Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Research on Multi-Tenant Distributed Indexing for SaaS Application.
J. Softw., 2014

Shape primitive histogram: low-level face representation for face recognition.
IET Biom., 2014

Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Active appearance models using statistical characteristics of Gabor based texture representation.
J. Vis. Commun. Image Represent., 2013

Robust face recognition via gradient-based sparse representation.
J. Electronic Imaging, 2013

Detection of local invariant features using contour.
IET Image Process., 2013

Face Recognition via Globality-Locality Preserving Projections.
CoRR, 2013

Two dimension nonnegative partial least squares for face recognition.
Proceedings of the 9th International Conference on Information, 2013

2012
Face recognition using two-dimensional nonnegative principal component analysis.
J. Electronic Imaging, 2012

Improved similarity measure-based graph embedding for face recognition.
J. Electronic Imaging, 2012

2011
Robust stability of impulsive Takagi-Sugeno fuzzy systems with parametric uncertainties.
Inf. Sci., 2011

2010
Corner detection based on gradient correlation matrices of planar curves.
Pattern Recognit., 2010

Image registration based on subpixel localization and Cauchy-Schwarz divergence.
J. Electronic Imaging, 2010

2009
Robust image corner detection based on scale evolution difference of planar curves.
Pattern Recognit. Lett., 2009

2007
Multi-scale curvature product for robust image corner detection in curvature scale space.
Pattern Recognit. Lett., 2007

Impulsive Control of T-S Fuzzy Systems.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2005
Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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