A Hypergraph-Based Approach to Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock (CAIP (1), 2011)

A Graph-Based Approach to Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock (GbRPR, 2011)

Feature Selection for Gender Classification. - Zhihong Zhang 001; Edwin R. Hancock (IbPRIA, 2011)

An information theoretic approach to gender feature selection. - Zhihong Zhang 001; Edwin R. Hancock; Jing Wu 004 (ICCV Workshops, 2011)

Mutual Information Criteria for Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock (SIMBAD, 2011)

Unsupervised Feature Selection Via Hypergraph Embedding. - Zhihong Zhang 001; Peng Ren 001; Edwin R. Hancock (BMVC, 2012)

Localized Graph-Based Feature Selection for Clustering. - Zhihong Zhang 001; Edwin R. Hancock (ICIAR (1), 2012)

Face recognition using semi-supervised spectral feature selection. - Zhihong Zhang 001; Edwin R. Hancock (ICPR, 2012)

Unsupervised spectral feature selection for face recognition. - Zhihong Zhang 001; Edwin R. Hancock (ICPR, 2012)

Hypergraph based semi-supervised learning for gender classification. - Zhihong Zhang 001; Edwin R. Hancock; Peng Ren 001 (ICPR, 2012)

Hypergraph Spectra for Semi-supervised Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock; Xiao Bai 001 (ECML/PKDD (1), 2012)

Hypergraph Spectra for Unsupervised Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock (SSPR/SPR, 2012)

Kernel Entropy-Based Unsupervised spectral Feature Selection. - Zhihong Zhang 001; Edwin R. Hancock (Int. J. Pattern Recognit. Artif. Intell., 2012)

Hypergraph based information-theoretic feature selection. - Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit. Lett., 2012)

A hypergraph based semi-supervised band selection method for hyperspectral image classification. - Zhouxiao Guo; Xiao Bai 001; Zhihong Zhang 001; Jun Zhou 001 (ICIP, 2013)

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. - Zhouxiao Guo; Haichuan Yang; Xiao Bai 001; Zhihong Zhang 001; Jun Zhou 001 (IGARSS, 2013)

Adaptive Object Retrieval with Kernel Reconstructive Hashing. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Zhihong Zhang 001; Jian Cheng 001 (CVPR, 2014)

A High-Order Depth-Based Graph Matching Method. - Lu Bai 001; Zhihong Zhang 001; Peng Ren 001; Edwin R. Hancock (CAIP (1), 2015)

An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. - Lu Bai 001; Zhihong Zhang 001; Chaoyan Wang; Edwin R. Hancock (CAIP (2), 2015)

Adaptive Graph Learning for Unsupervised Feature Selection. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (CAIP (1), 2015)

Unsupervised feature selection by joint graph learning. - Zhihong Zhang 001; Jianbing Xiahou; Yuanheng Liang; Yuhan Chen (ChinaSIP, 2015)

A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks. - Lu Bai 001; Luca Rossi 004; Peng Ren 001; Zhihong Zhang 001; Edwin R. Hancock (GbRPR, 2015)

Isometric Mapping Hashing. - Yanzhen Liu; Xiao Bai 001; Haichuan Yang; Zhou Jun; Zhihong Zhang 001 (GbRPR, 2015)

Coupled-Feature Hypergraph Representation for Feature Selection. - Zhihong Zhang 001; Jianbing Xiahou; Lu Bai 001; Edwin R. Hancock (GbRPR, 2015)

An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. - Lu Bai 001; Zhihong Zhang 001; Peng Ren 001; Luca Rossi 004; Edwin R. Hancock (ICIAP (1), 2015)

Unsupervised Feature Selection by Graph Optimization. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (ICIAP (1), 2015)

An Aligned Subtree Kernel for Weighted Graphs. - Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Edwin R. Hancock (ICML, 2015)

A Graph Kernel Based on the Jensen-Shannon Representation Alignment. - Lu Bai 001; Zhihong Zhang 001; Chaoyan Wang; Xiao Bai 001; Edwin R. Hancock (IJCAI, 2015)

Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model. - Xiao Bai 001; Zhouxiao Guo; Yanyang Wang; Zhihong Zhang 001; Jun Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Face image super-resolution via weighted patches regression. - Yiping Zhang; Zhihong Zhang 001; Guosheng Hu; Edwin R. Hancock (ICPR, 2016)

P2P Lending Analysis Using the Most Relevant Graph-Based Features. - Lixin Cui; Lu Bai 001; Yue Wang 014; Xiao Bai 001; Zhihong Zhang 001; Edwin R. Hancock (S+SSPR, 2016)

Discriminative Lasso. - Zhihong Zhang 001; Jianbing Xiahou; Zheng-Jian Bai; Edwin R. Hancock; Da Zhou; Sibao Chen 001; Liyan Chen (Cogn. Comput., 2016)

High-order graph matching kernel for early carcinoma EUS image classification. - Zhihong Zhang 001; Lu Bai 001; Peng Ren 001; Edwin R. Hancock (Multim. Tools Appl., 2016)

Discriminative sparse representation for face recognition. - Zhihong Zhang 001; Yuanheng Liang; Lu Bai 001; Edwin R. Hancock (Multim. Tools Appl., 2016)

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. - Guosheng Hu; Yang Hua 001; Yang Yuan; Zhihong Zhang 001; Zheng Lu; Sankha S. Mukherjee; Timothy M. Hospedales; Neil Martin Robertson; Yongxin Yang (ICCV, 2017)

Deep Face Model Compression Using Entropy-Based Filter Selection. - Bingbing Han; Zhihong Zhang 001; Chuanyu Xu; Beizhan Wang; Guosheng Hu; Lu Bai 001; Qingqi Hong; Edwin R. Hancock (ICIAP (2), 2017)

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. - Liyan Chen; Beizhan Wang; Zhihong Zhang 001; Fan Lin; Yihan Ma 006 (Comput. Math. Methods Medicine, 2017)

Joint hypergraph learning and sparse regression for feature selection. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (Pattern Recognit., 2017)

Quantum kernels for unattributed graphs using discrete-time quantum walks. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Zhihong Zhang 001; Peng Ren 001; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

High-order covariate interacted Lasso for feature selection. - Zhihong Zhang 001; Yiyang Tian; Lu Bai 001; Jianbing Xiahou; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. - Guosheng Hu; Li Liu 004; Yang Yuan; Zehao Yu; Yang Hua 001; Zhihong Zhang 001; Fumin Shen; Ling Shao 001; Timothy M. Hospedales; Neil Martin Robertson; Yongxin Yang (ECCV (12), 2018)

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. - Guosheng Hu; Yuxin Hu; Kai Yang 031; Zehao Yu; Flood Sung; Zhihong Zhang 001; Fei Xie; Jianguo Liu; Neil Martin Robertson; Timothy M. Hospedales; Qiangwei Miemie (ICASSP, 2018)

Weighted Patches Based Face Super-Resolution Via Adaboost. - Shanjun Mao; Da Zhou; Yiping Zhang; Zhihong Zhang 001; Jing-Jing Cao (ICMLC, 2018)

Depth-based Subgraph Convolutional Neural Networks. - Chuanyu Xu; Dong Wang; Zhihong Zhang 001; Beizhan Wang; Da Zhou; Guijun Ren; Lu Bai 001; Lixin Cui; Edwin R. Hancock (ICPR, 2018)

A Unified Neighbor Reconstruction Method for Embeddings. - Zhiling Ye; Zhihong Zhang 001; Lu Bai 001; Guosheng Hu; Zheng-Jian Bai; Yiqun Hu; Edwin R. Hancock (ICPR, 2018)

H-Net: Neural Network for Cross-domain Image Patch Matching. - Weiquan Liu; Xuelun Shen; Cheng Wang 003; Zhihong Zhang 001; Chenglu Wen; Jonathan Li 001 (IJCAI, 2018)

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Yuhang Jiao 001; Edwin R. Hancock (S+SSPR, 2018)

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Lixiang Xu; Edwin R. Hancock (S+SSPR, 2018)

Directed Network Analysis Using Transfer Entropy Component Analysis. - Meihong Wu; Yangbin Zeng; Zhihong Zhang 001; Haiyun Hong; Zhuobin Xu; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2018)

Single Image Super Resolution via Neighbor Reconstruction. - Zhihong Zhang 001; Zhuobin Xu; Zhiling Ye; Yiqun Hu; Lixin Cui; Lu Bai 001 (S+SSPR, 2018)

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. - Qingqi Hong; Qingde Li; Beizhan Wang; KunHong Liu 001; Fan Lin; Juncong Lin; Xuan Cheng; Zhihong Zhang 001; Ming Zeng 008 (Comput. Aided Geom. Des., 2018)

Recovering variations in facial albedo from low resolution images. - Xu Chen 020; Zhihong Zhang 001; Beizhan Wang; Guosheng Hu; Edwin R. Hancock (Pattern Recognit., 2018)

A graph-based approach to automated EUS image layer segmentation and abnormal region detection. - Xu Chen 020; Yiqun Hu; Zhihong Zhang 001; Beizhan Wang; Lichi Zhang; Fei Shi; Xinjian Chen 001; Xiaoyi Jiang 001 (Neurocomputing, 2019)

Identifying the most informative features using a structurally interacting elastic net. - Lixin Cui; Lu Bai 001; Zhihong Zhang 001; Yue Wang 014; Edwin R. Hancock (Neurocomputing, 2019)

Quantum-based subgraph convolutional neural networks. - Zhihong Zhang 001; Dongdong Chen 003; Jianjia Wang; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Depth-based subgraph convolutional auto-encoder for network representation learning. - Zhihong Zhang 001; Dongdong Chen 003; Zeli Wang; Heng Li 001; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Single image super resolution via neighbor reconstruction. - Zhihong Zhang 001; Chen Xu; Zhonghao Zhang; Guo Chen; Yide Cai; Zeli Wang; Heng Li 001; Edwin R. Hancock (Pattern Recognit. Lett., 2019)

Structural network inference from time-series data using a generative model and transfer entropy. - Zhihong Zhang 001; Genzhou Zhang; Zhonghao Zhang; Guo Chen; Yangbin Zeng; Beizhan Wang; Edwin R. Hancock (Pattern Recognit. Lett., 2019)

Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network. - Zhihong Zhang 001; Xu Chen 020; Beizhan Wang; Guosheng Hu; Wangmeng Zuo; Edwin R. Hancock (IEEE Trans. Image Process., 2019)

Polar Transformation on Image Features for Orientation-Invariant Representations. - Jinhui Chen; Zhaojie Luo; Zhihong Zhang 001; Faliang Huang; Zhiling Ye; Tetsuya Takiguchi; Edwin R. Hancock (IEEE Trans. Multim., 2019)

Learning EEG topographical representation for classification via convolutional neural network. - Meiyan Xu; Junfeng Yao; Zhihong Zhang 001; Rui Li; Baorong Yang; Chunyan Li 002; Jun Li; Junsong Zhang (Pattern Recognit., 2020)

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. - Zhihong Zhang 001; Yangbin Zeng; Lu Bai 001; Yiqun Hu; Meihong Wu; Shuai Wang 049; Edwin R. Hancock (Pattern Recognit., 2020)

Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things. - Yiming Guo; Xi Chen; Shuang Tian; Le Yang; Xiao Liang; Jie Lian 005; Dianwei Jin; Aleksei Balabontsev; Zhihong Zhang 001 (ICIC (2), 2021)

Two-Pathway Style Embedding for Arbitrary Voice Conversion. - Xuexin Xu; Liang Shi; Jinhui Chen; Xunquan Chen; Jie Lian 005; Pingyuan Lin; Zhihong Zhang 001; Edwin R. Hancock (Interspeech, 2021)

Thermodynamic motif analysis for directed stock market networks. - Dongdong Chen 003; Xingchen Guo; Jianjia Wang; Jiatong Liu; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2021)

Multimodal fusion for indoor sound source localization. - Jinhui Chen; Ryoichi Takashima; Xingchen Guo; Zhihong Zhang 001; Xuexin Xu; Tetsuya Takiguchi; Edwin R. Hancock (Pattern Recognit., 2021)

Statistical mechanical analysis for unweighted and weighted stock market networks. - Jianjia Wang; Xingchen Guo; Weimin Li 001; Xing Wu 001; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2021)

Semi-Supervised Face Frontalization in the Wild. - Zhihong Zhang 001; Ruiyang Liang; Xu Chen 020; Xuexin Xu; Guosheng Hu; Wangmeng Zuo; Edwin R. Hancock (IEEE Trans. Inf. Forensics Secur., 2021)

Decompositional Quantum Graph Neural Network. - Xing Ai; Zhihong Zhang 001; Luzhe Sun; Junchi Yan; Edwin R. Hancock (CoRR, 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 001; Tetsuya Takiguchi; Edwin R. Hancock (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 002; Zhihong Zhang 001; Xuelun Shen; Cheng Wang 003 (Pattern Recognit., 2022)

LiDAR-based localization using universal encoding and memory-aware regression. - Shangshu Yu; Cheng Wang 003; Chenglu Wen; Ming Cheng 002; Minghao Liu 007; Zhihong Zhang 001; Xin Li 003 (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 003; Chenglu Wen; Ming Cheng 002; Minghao Liu 007; Zhihong Zhang 001; Xin Li 003 (Pattern Recognit., 2022)

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. - Ling Zhou 005; Qirong Mao; Xiaohua Huang; Feifei Zhang; Zhihong Zhang 001 (Pattern Recognit., 2022)

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy. - Qiyao Huang; Yingyue Zhang; Zhihong Zhang 001; Edwin R. Hancock (NeurIPS, 2023)

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching. - Dongdong Chen 003; Yuxing Dai; Lichi Zhang; Zhihong Zhang 001 (CoRR, 2023)

Labeled Subgraph Entropy Kernel. - Chengyu Sun; Xing Ai; Zhihong Zhang 001; Edwin R. Hancock (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision. - Xuexin Xu; Liang Shi; Xunquan Chen; Pingyuan Lin; Jie Lian 005; Jinhui Chen; Zhihong Zhang 001; Edwin R. Hancock (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation. - Yanfei Su; Ming Cheng 002; Zhimin Yuan; Weiquan Liu; Wankang Zeng; Zhihong Zhang 001; Cheng Wang 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

Speaker-Independent Emotional Voice Conversion via Disentangled Representations. - Xunquan Chen; Xuexin Xu; Jinhui Chen; Zhihong Zhang 001; Tetsuya Takiguchi; Edwin R. Hancock (IEEE Trans. Multim., 2023)

Position-aware and structure embedding networks for deep graph matching. - Dongdong Chen 003; Yuxing Dai; Lichi Zhang; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2023)

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Zhihong Zhang 001; Lixiang Xu; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Motif Entropy for Understanding Time-Evolving Networks. - Zhihong Zhang 001; Dongdong Chen 003; Lu Bai 001; Jianjia Wang; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 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 001 (IET Comput. Vis., 2023)

GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries. - Yuyuan Feng; Guosheng Hu; Zhihong Zhang 001 (CoRR, 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 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 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (CoRR, 2024)

Two-Level Graph Neural Network. - Xing Ai; Chengyu Sun; Zhihong Zhang 001; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-view short-term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation. - Yuxing Dai; Jing Lai; Xuexin Xu; Jianbing Xiahou; Jie Lian 005; Zhihong Zhang 001 (IET Comput. Vis., 2025)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Ziyue Xu 001; Yuan-Ting Hsieh; Zhihong Zhang 001; Holger R. Roth; Chester Chen; Yan Cheng; Andrew Feng (CoRR, 2025)