Zhihong Zhang

发表

Statistical mechanical analysis for unweighted and weighted stock market networks

Edwin R. Hancock, Jianjia Wang, Xing Wu, 2021, Pattern Recognit..

Nonparametric Forest-Structured Neural Topic Modeling

Yanghui Rao, Zhihong Zhang, Xuewen Zhang, 2022, COLING.

Graph Motif Entropy for Understanding Time-Evolving Networks

Lu Bai, Zhihong Zhang, Jianjia Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Hypergraph based semi-supervised learning for gender classification

Edwin R. Hancock, Peng Ren, Zhihong Zhang, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

High-order graph matching kernel for early carcinoma EUS image classification

Edwin R. Hancock, Lu Bai, Peng Ren, 2016, Multimedia Tools and Applications.

A Boosting Method to Face Image Super-resolution pdf

Shanjun Mao, Zhihong Zhang, Yiping Zhang, 2016, ArXiv.

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis

Yue Wang, Edwin R. Hancock, Lu Bai, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels

Edwin R. Hancock, Lu Bai, Luca Rossi, 2018, S+SSPR.

Depth-based subgraph convolutional auto-encoder for network representation learning

Dongdong Chen, Edwin R. Hancock, Lu Bai, 2019, Pattern Recognit..

Decompositional Quantum Graph Neural Network pdf

Junchi Yan, Xing Ai, Zhihong Zhang, 2022, ArXiv.

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach

Junchi Yan, Zhihong Zhang, Edwin R. Hancock, 2023 .

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States

Ling Shao, Fumin Shen, Yongxin Yang, 2018, ECCV.

Semi-Supervised Face Frontalization in the Wild

Wangmeng Zuo, Edwin R. Hancock, Xu Chen, 2021, IEEE Transactions on Information Forensics and Security.

H-Net: Neural Network for Cross-domain Image Patch Matching

Chenglu Wen, Zhihong Zhang, Cheng Wang, 2018, IJCAI.

Two-Pathway Style Embedding for Arbitrary Voice Conversion

Edwin R. Hancock, Jie Lian, Liang Shi, 2021, Interspeech.

An Aligned Subtree Kernel for Weighted Graphs

Edwin R. Hancock, Lu Bai, Luca Rossi, 2015, ICML.

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models

Jun Zhou, Zhihong Zhang, Xiao Bai, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions

Jianguo Liu, Fei Xie, Kai Yang, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition pdf

Qirong Mao, Zhihong Zhang, Feifei Zhang, 2021, Pattern Recognit..

Quantum kernels for unattributed graphs using discrete-time quantum walks

Edwin R. Hancock, Lu Bai, Peng Ren, 2017, Pattern Recognit. Lett..

Semisupervised Hyperspectral Band Selection Via Spectral–Spatial Hypergraph Model

Jun Zhou, Zhihong Zhang, Xiao Bai, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Two-level Graph Neural Network pdf

Xing Ai, Zhihong Zhang, Chengyu Sun, 2022, IEEE transactions on neural networks and learning systems.

Quantum-based subgraph convolutional neural networks

Dongdong Chen, Edwin R. Hancock, Lu Bai, 2019, Pattern Recognit..

A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks

Edwin R. Hancock, Lu Bai, Peng Ren, 2015, GbRPR.

A Graph Kernel Based on the Jensen-Shannon Representation Alignment

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2015, IJCAI.

Thermodynamic motif analysis for directed stock market networks

Edwin R. Hancock, Jianjia Wang, Dongdong Chen, 2021, Pattern Recognit..

Labeled Subgraph Entropy Kernel

Zhihong Zhang, Edwin R. Hancock, Xing Ai, 2023, arXiv.org.

Structural network inference from time-series data using a generative model and transfer entropy

Edwin R. Hancock, Beizhan Wang, Zhihong Zhang, 2019, Pattern Recognit. Lett..

P2P Lending Analysis Using the Most Relevant Graph-Based Features

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2016, S+SSPR.

Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network

Xu Chen, Edwin R. Hancock, Beizhan Wang, 2019, IEEE Transactions on Image Processing.

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching

Lichi Zhang, Zhihong Zhang, Dongdong Chen, 2023, ArXiv.

Position-aware and structure embedding networks for deep graph matching

E. Hancock, Lichi Zhang, Zhihong Zhang, 2022, Pattern Recognit..

Feature selection from higher order correlations

Zhihong Zhang, Zhihong Zhang, 2012 .

Identifying The Most Informative Features Using A Structurally Interacting Elastic Net pdf

Yue Wang, Edwin R. Hancock, Lu Bai, 2018, Neurocomputing.

A Graph-Based Approach to Feature Selection

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2011, GbRPR.

Discriminative Lasso

Edwin R. Hancock, Zhihong Zhang, Jianbing Xiahou, 2016, Cognitive Computation.

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

Yongxin Yang, Zhihong Zhang, Yang Hua, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Polar Transformation on Image Features for Orientation-Invariant Representations

Faliang Huang, Edwin R. Hancock, Tetsuya Takiguchi, 2019, IEEE Transactions on Multimedia.

Multimodal fusion for indoor sound source localization

Edwin R. Hancock, Tetsuya Takiguchi, Ryoichi Takashima, 2021, Pattern Recognit..

High-order covariate interacted Lasso for feature selection

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2017, Pattern Recognit. Lett..

A hypergraph based semi-supervised band selection method for hyperspectral image classification

Jun Zhou, Zhihong Zhang, Xiao Bai, 2013, 2013 IEEE International Conference on Image Processing.

Kernel Entropy-Based Unsupervised spectral Feature Selection

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2012, Int. J. Pattern Recognit. Artif. Intell..

Hypergraph Spectra for Unsupervised Feature Selection

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2012, SSPR/SPR.

Unsupervised spectral feature selection for face recognition

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Face recognition using semi-supervised spectral feature selection

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Hypergraph Spectra for Semi-supervised Feature Selection

Edwin R. Hancock, Zhihong Zhang, Xiao Bai, 2012, ECML/PKDD.

Unsupervised Feature Selection Via Hypergraph Embedding

Edwin R. Hancock, Peng Ren, Zhihong Zhang, 2012, BMVC.

DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

Cheng Wang, Ming Cheng, Weiquan Liu, 2021, Pattern Recognit..

Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone

E. Hancock, T. Takiguchi, Jinhui Chen, 2022, Pattern Recognit..

Joint hypergraph learning and sparse regression for feature selection

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2017, Pattern Recognit..

Mutual Information Criteria for Feature Selection

Edwin R. Hancock, Zhihong Zhang, E. Hancock, 2011, SIMBAD.

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis

E. Hancock, Lu Bai, Lixin Cui, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks

Lu Bai, Zhihong Zhang, Shuai Wang, 2020, Pattern Recognit..

Coupled-Feature Hypergraph Representation for Feature Selection

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2015, GbRPR.

Weighted Patches Based Face Super-Resolution Via Adaboost

Shanjun Mao, Zhihong Zhang, Yiping Zhang, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Recovering variations in facial albedo from low resolution images

Xu Chen, Beizhan Wang, Zhihong Zhang, 2018, Pattern Recognit..

Face image super-resolution via weighted patches regression

Edwin R. Hancock, Zhihong Zhang, Guosheng Hu, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Discriminative sparse representation for face recognition

Edwin R. Hancock, Lu Bai, Zhihong Zhang, 2015, Multimedia Tools and Applications.