Zhihong Zhang

According to our database, Zhihong Zhang authored at least 89 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Two-Level Graph Neural Network.

Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Supercharging Federated Learning with Flower and NVIDIA FLARE.

Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng

CoRR, 2024

Empowering Federated Learning for Massive Models with NVIDIA FLARE.

Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng

CoRR, 2024

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

Yuyuan Feng, Guosheng Hu, Zhihong Zhang

CoRR, 2024

2023

Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction.

Xingchen Guo, Jing Lai, Zhou Zheng, Chenxiang Lin, Yuxing Dai, Xuexin Xu, Haisheng San, Rong Jia, Zhihong Zhang

IET Comput. Vis., October, 2023

Graph Motif Entropy for Understanding Time-Evolving Networks.

Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2023

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

Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Position-aware and structure embedding networks for deep graph matching.

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., April, 2023

Speaker-Independent Emotional Voice Conversion via Disentangled Representations.

Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock

IEEE Trans. Multim., 2023

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation.

Yanfei Su, Ming Cheng, Zhimin Yuan, Weiquan Liu, Wankang Zeng, Zhihong Zhang, Cheng Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision.

Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock

IEEE ACM Trans. Audio Speech Lang. Process., 2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.

Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng

IEEE Data Eng. Bull., 2023

Labeled Subgraph Entropy Kernel.

Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock

CoRR, 2023

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

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang

CoRR, 2023

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy.

Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang

Pattern Recognit., 2022

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

Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li

Pattern Recognit., 2022

LiDAR-based localization using universal encoding and memory-aware regression.

Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li

Pattern Recognit., 2022

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

Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang

Pattern Recognit., 2022

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

Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock

Pattern Recognit., 2022

Decompositional Quantum Graph Neural Network.

Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock

CoRR, 2022

2021

Semi-Supervised Face Frontalization in the Wild.

Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock

IEEE Trans. Inf. Forensics Secur., 2021

Statistical mechanical analysis for unweighted and weighted stock market networks.

Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., 2021

Multimodal fusion for indoor sound source localization.

Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock

Pattern Recognit., 2021

Thermodynamic motif analysis for directed stock market networks.

Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., 2021

Two-Pathway Style Embedding for Arbitrary Voice Conversion.

Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things.

Yiming Guo, Xi Chen, Shuang Tian, Le Yang, Xiao Liang, Jie Lian, Dianwei Jin, Aleksei Balabontsev, Zhihong Zhang

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

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

Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock

Pattern Recognit., 2020

Learning EEG topographical representation for classification via convolutional neural network.

Meiyan Xu, Junfeng Yao, Zhihong Zhang, Rui Li, Baorong Yang, Chunyan Li, Jun Li, Junsong Zhang

Pattern Recognit., 2020

2019

Polar Transformation on Image Features for Orientation-Invariant Representations.

Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock

IEEE Trans. Multim., 2019

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

Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock

IEEE Trans. Image Process., 2019

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

Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock

Pattern Recognit. Lett., 2019

Single image super resolution via neighbor reconstruction.

Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock

Pattern Recognit. Lett., 2019

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

Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock

Pattern Recognit., 2019

Quantum-based subgraph convolutional neural networks.

Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock

Pattern Recognit., 2019

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

Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock

Neurocomputing, 2019

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

Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang

Neurocomputing, 2019

2018

Recovering variations in facial albedo from low resolution images.

Xu Chen, Zhihong Zhang, Beizhan Wang, Guosheng Hu, Edwin R. Hancock

Pattern Recognit., 2018

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.

Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng

Comput. Aided Geom. Des., 2018

Single Image Super Resolution via Neighbor Reconstruction.

Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Directed Network Analysis Using Transfer Entropy Component Analysis.

Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs.

Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

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

Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

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

Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Unified Neighbor Reconstruction Method for Embeddings.

Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Depth-based Subgraph Convolutional Neural Networks.

Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Weighted Patches Based Face Super-Resolution Via Adaboost.

Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang, Jing-Jing Cao

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.

Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

High-order covariate interacted Lasso for feature selection.

Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock

Pattern Recognit. Lett., 2017

Quantum kernels for unattributed graphs using discrete-time quantum walks.

Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock

Pattern Recognit. Lett., 2017

Joint hypergraph learning and sparse regression for feature selection.

Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock

Pattern Recognit., 2017

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval.

Liyan Chen, Beizhan Wang, Zhihong Zhang, Fan Lin, Yihan Ma

Comput. Math. Methods Medicine, 2017

Deep Face Model Compression Using Entropy-Based Filter Selection.

Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.

Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Discriminative sparse representation for face recognition.

Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock

Multim. Tools Appl., 2016

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

Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock

Multim. Tools Appl., 2016

Discriminative Lasso.

Zhihong Zhang, Jianbing Xiahou, Zheng-Jian Bai, Edwin R. Hancock, Da Zhou, Sibao Chen, Liyan Chen

Cogn. Comput., 2016

P2P Lending Analysis Using the Most Relevant Graph-Based Features.

Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Face image super-resolution via weighted patches regression.

Yiping Zhang, Zhihong Zhang, Guosheng Hu, Edwin R. Hancock

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.

Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

A Graph Kernel Based on the Jensen-Shannon Representation Alignment.

Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Aligned Subtree Kernel for Weighted Graphs.

Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock

Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised Feature Selection by Graph Optimization.

Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks.

Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Coupled-Feature Hypergraph Representation for Feature Selection.

Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Isometric Mapping Hashing.

Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

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

Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Unsupervised feature selection by joint graph learning.

Zhihong Zhang, Jianbing Xiahou, Yuanheng Liang, Yuhan Chen

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Adaptive Graph Learning for Unsupervised Feature Selection.

Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock

Proceedings of the Computer Analysis of Images and Patterns, 2015

An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs.

Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock

Proceedings of the Computer Analysis of Images and Patterns, 2015

A High-Order Depth-Based Graph Matching Method.

Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Adaptive Object Retrieval with Kernel Reconstructive Hashing.

Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng

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.

Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

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

Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Hypergraph based information-theoretic feature selection.

Zhihong Zhang, Edwin R. Hancock

Pattern Recognit. Lett., 2012

Kernel Entropy-Based Unsupervised spectral Feature Selection.

Zhihong Zhang, Edwin R. Hancock

Int. J. Pattern Recognit. Artif. Intell., 2012

Hypergraph Spectra for Unsupervised Feature Selection.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Hypergraph Spectra for Semi-supervised Feature Selection.

Zhihong Zhang, Edwin R. Hancock, Xiao Bai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Hypergraph based semi-supervised learning for gender classification.

Zhihong Zhang, Edwin R. Hancock, Peng Ren

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Unsupervised spectral feature selection for face recognition.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Face recognition using semi-supervised spectral feature selection.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Localized Graph-Based Feature Selection for Clustering.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Unsupervised Feature Selection Via Hypergraph Embedding.

Zhihong Zhang, Peng Ren, Edwin R. Hancock

Proceedings of the British Machine Vision Conference, 2012

2011

Mutual Information Criteria for Feature Selection.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

An information theoretic approach to gender feature selection.

Zhihong Zhang, Edwin R. Hancock, Jing Wu

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Feature Selection for Gender Classification.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

A Graph-Based Approach to Feature Selection.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

A Hypergraph-Based Approach to Feature Selection.

Zhihong Zhang, Edwin R. Hancock

Proceedings of the Computer Analysis of Images and Patterns, 2011