Zhihong Zhang

Orcid: 0000-0002-0542-0640

Affiliations:
  • Xiamen University, School of Informatics, China
  • University of York, Department of computer science, UK (PhD 2013)
  • University of Ulster, Department of computer science, UK (former)


According to our database1, Zhihong Zhang authored at least 86 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries.
CoRR, 2024

2023
Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction.
IET Comput. Vis., October, 2023

Graph Motif Entropy for Understanding Time-Evolving Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Position-aware and structure embedding networks for deep graph matching.
Pattern Recognit., April, 2023

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.
IEEE Data Eng. Bull., 2023

Labeled Subgraph Entropy Kernel.
CoRR, 2023

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching.
CoRR, 2023

2022
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition.
Pattern Recognit., 2022

Corrigendum to "LiDAR-based localization using universal encoding and memory-aware regression" Pattern Recognition Volume 128 (2022) 108685.
Pattern Recognit., 2022

LiDAR-based localization using universal encoding and memory-aware regression.
Pattern Recognit., 2022

DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds.
Pattern Recognit., 2022

Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone.
Pattern Recognit., 2022

Decompositional Quantum Graph Neural Network.
CoRR, 2022

Two-level Graph Neural Network.
CoRR, 2022

2021
Semi-Supervised Face Frontalization in the Wild.
IEEE Trans. Inf. Forensics Secur., 2021

Statistical mechanical analysis for unweighted and weighted stock market networks.
Pattern Recognit., 2021

Multimodal fusion for indoor sound source localization.
Pattern Recognit., 2021

Thermodynamic motif analysis for directed stock market networks.
Pattern Recognit., 2021

Two-Pathway Style Embedding for Arbitrary Voice Conversion.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks.
Pattern Recognit., 2020

Learning EEG topographical representation for classification via convolutional neural network.
Pattern Recognit., 2020

2019
Polar Transformation on Image Features for Orientation-Invariant Representations.
IEEE Trans. Multim., 2019

Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network.
IEEE Trans. Image Process., 2019

Structural network inference from time-series data using a generative model and transfer entropy.
Pattern Recognit. Lett., 2019

Single image super resolution via neighbor reconstruction.
Pattern Recognit. Lett., 2019

Depth-based subgraph convolutional auto-encoder for network representation learning.
Pattern Recognit., 2019

Quantum-based subgraph convolutional neural networks.
Pattern Recognit., 2019

Identifying the most informative features using a structurally interacting elastic net.
Neurocomputing, 2019

A graph-based approach to automated EUS image layer segmentation and abnormal region detection.
Neurocomputing, 2019

Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis.
CoRR, 2019

2018
Recovering variations in facial albedo from low resolution images.
Pattern Recognit., 2018

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.
Comput. Aided Geom. Des., 2018

Single Image Super Resolution via Neighbor Reconstruction.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Directed Network Analysis Using Transfer Entropy Component Analysis.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

H-Net: Neural Network for Cross-domain Image Patch Matching.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Unified Neighbor Reconstruction Method for Embeddings.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Depth-based Subgraph Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Weighted Patches Based Face Super-Resolution Via Adaboost.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
High-order covariate interacted Lasso for feature selection.
Pattern Recognit. Lett., 2017

Quantum kernels for unattributed graphs using discrete-time quantum walks.
Pattern Recognit. Lett., 2017

Joint hypergraph learning and sparse regression for feature selection.
Pattern Recognit., 2017

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval.
Comput. Math. Methods Medicine, 2017

Deep Face Model Compression Using Entropy-Based Filter Selection.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Discriminative sparse representation for face recognition.
Multim. Tools Appl., 2016

High-order graph matching kernel for early carcinoma EUS image classification.
Multim. Tools Appl., 2016

Discriminative Lasso.
Cogn. Comput., 2016

P2P Lending Analysis Using the Most Relevant Graph-Based Features.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Face image super-resolution via weighted patches regression.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

A Graph Kernel Based on the Jensen-Shannon Representation Alignment.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Aligned Subtree Kernel for Weighted Graphs.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised Feature Selection by Graph Optimization.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Coupled-Feature Hypergraph Representation for Feature Selection.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Isometric Mapping Hashing.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Unsupervised feature selection by joint graph learning.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Adaptive Graph Learning for Unsupervised Feature Selection.
Proceedings of the Computer Analysis of Images and Patterns, 2015

An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs.
Proceedings of the Computer Analysis of Images and Patterns, 2015

A High-Order Depth-Based Graph Matching Method.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A hypergraph based semi-supervised band selection method for hyperspectral image classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Hypergraph based information-theoretic feature selection.
Pattern Recognit. Lett., 2012

Kernel Entropy-Based Unsupervised spectral Feature Selection.
Int. J. Pattern Recognit. Artif. Intell., 2012

Hypergraph Spectra for Unsupervised Feature Selection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Hypergraph Spectra for Semi-supervised Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Hypergraph based semi-supervised learning for gender classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Unsupervised spectral feature selection for face recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Face recognition using semi-supervised spectral feature selection.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Localized Graph-Based Feature Selection for Clustering.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Unsupervised Feature Selection Via Hypergraph Embedding.
Proceedings of the British Machine Vision Conference, 2012

2011
Mutual Information Criteria for Feature Selection.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

An information theoretic approach to gender feature selection.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Feature Selection for Gender Classification.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

A Graph-Based Approach to Feature Selection.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

A Hypergraph-Based Approach to Feature Selection.
Proceedings of the Computer Analysis of Images and Patterns, 2011


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