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ORCIDZhihong Zhang 0001
Person information
- affiliation: Xiamen University, School of Informatics, China
- affiliation (PhD 2013): University of York, Department of computer science, UK
- affiliation (former): University of Ulster, Department of computer science, UK
Other persons with the same name
- Zhihong Zhang — disambiguation page
- Zhihong Zhang 0002
![[0000-0001-7051-7564]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7051-7564")
— Kumming University of Science and Technology, Faculty of Agriculture and Food, Yunnan, China (and 1 more) - Zhihong Zhang 0003 — China University of Petroleum, School of Economics and Management, Qingdao, China
- Zhihong Zhang 0004 — Tsinghua University, Department of Automation, Beijing, China
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2020 – today
- 2024
[j40]Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-Level Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4593-4606 (2024)- [i12]Yuyuan Feng, Guosheng Hu, Zhihong Zhang:
GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries. CoRR abs/2402.00068 (2024) - [i11]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:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - [i10]Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernandez Marques, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR abs/2407.00031 (2024) - 2023
- [j39]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:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - [j38]Xingchen Guo, Jing Lai, Zhou Zheng, Chenxiang Lin, Yuxing Dai, Xuexin Xu, Haisheng San, Rong Jia, Zhihong Zhang:
Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction. IET Comput. Vis. 17(7): 777-794 (2023) - [j37]Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock:
Position-aware and structure embedding networks for deep graph matching. Pattern Recognit. 136: 109242 (2023) - [j36]Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock:
Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3431-3445 (2023) - [j35]Yanfei Su, Ming Cheng, Zhimin Yuan, Weiquan Liu, Wankang Zeng, Zhihong Zhang, Cheng Wang:
Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j34]Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Speaker-Independent Emotional Voice Conversion via Disentangled Representations. IEEE Trans. Multim. 25: 7480-7493 (2023) - [j33]Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock:
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1651-1665 (2023) - [j32]Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1808-1822 (2023) - [c43]Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock:
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy. NeurIPS 2023 - [i9]Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang:
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching. CoRR abs/2301.01932 (2023) - [i8]Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock:
Labeled Subgraph Entropy Kernel. CoRR abs/2303.13543 (2023) - 2022
- [j31]Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. Pattern Recognit. 122: 108275 (2022) - [j30]Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang:
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds. Pattern Recognit. 123: 108372 (2022) - [j29]Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li:
LiDAR-based localization using universal encoding and memory-aware regression. Pattern Recognit. 128: 108685 (2022) - [j28]Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone. Pattern Recognit. 129: 108715 (2022) - [j27]Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li:
Corrigendum to "LiDAR-based localization using universal encoding and memory-aware regression" Pattern Recognition Volume 128 (2022) 108685. Pattern Recognit. 132: 108915 (2022) - [i7]Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-level Graph Neural Network. CoRR abs/2201.01190 (2022) - [i6]Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. CoRR abs/2201.05158 (2022) - [i5]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:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - 2021
- [j26]Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock:
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114: 107872 (2021) - [j25]Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock:
Multimodal fusion for indoor sound source localization. Pattern Recognit. 115: 107906 (2021) - [j24]Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock:
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120: 108123 (2021) - [j23]Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Semi-Supervised Face Frontalization in the Wild. IEEE Trans. Inf. Forensics Secur. 16: 909-922 (2021) - [c42]Yiming Guo, Xi Chen, Shuang Tian, Le Yang, Xiao Liang, Jie Lian, Dianwei Jin, Aleksei Balabontsev, Zhihong Zhang:
Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things. ICIC (2) 2021: 294-302 - [c41]Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock:
Two-Pathway Style Embedding for Arbitrary Voice Conversion. Interspeech 2021: 1364-1368 - [i4]Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. CoRR abs/2101.04838 (2021) - [i3]Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang:
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds. CoRR abs/2106.00376 (2021) - 2020
- [j22]Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock:
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. Pattern Recognit. 105: 107179 (2020) - [j21]Meiyan Xu, Junfeng Yao, Zhihong Zhang, Rui Li, Baorong Yang, Chunyan Li, Jun Li, Junsong Zhang:
Learning EEG topographical representation for classification via convolutional neural network. Pattern Recognit. 105: 107390 (2020)
2010 – 2019
- 2019
- [j20]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336: 13-26 (2019) - [j19]Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang:
A graph-based approach to automated EUS image layer segmentation and abnormal region detection. Neurocomputing 336: 79-91 (2019) - [j18]Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock:
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88: 38-49 (2019) - [j17]Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock:
Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. 90: 363-376 (2019) - [j16]Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock:
Single image super resolution via neighbor reconstruction. Pattern Recognit. Lett. 125: 157-165 (2019) - [j15]Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock:
Structural network inference from time-series data using a generative model and transfer entropy. Pattern Recognit. Lett. 125: 357-363 (2019) - [j14]Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network. IEEE Trans. Image Process. 28(5): 2187-2199 (2019) - [j13]Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock:
Polar Transformation on Image Features for Orientation-Invariant Representations. IEEE Trans. Multim. 21(2): 300-313 (2019) - [i2]Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR abs/1910.09153 (2019) - 2018
- [j12]Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng:
Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Comput. Aided Geom. Des. 62: 206-216 (2018) - [j11]Xu Chen, Zhihong Zhang, Beizhan Wang, Guosheng Hu, Edwin R. Hancock:
Recovering variations in facial albedo from low resolution images. Pattern Recognit. 74: 373-384 (2018) - [c40]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c39]Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie:
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP 2018: 2706-2710 - [c38]Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang, Jing-Jing Cao:
Weighted Patches Based Face Super-Resolution Via Adaboost. ICMLC 2018: 234-239 - [c37]Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock:
Depth-based Subgraph Convolutional Neural Networks. ICPR 2018: 1024-1029 - [c36]Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock:
A Unified Neighbor Reconstruction Method for Embeddings. ICPR 2018: 3186-3191 - [c35]Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li:
H-Net: Neural Network for Cross-domain Image Patch Matching. IJCAI 2018: 856-863 - [c34]Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock:
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. S+SSPR 2018: 237-247 - [c33]Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai:
Single Image Super Resolution via Neighbor Reconstruction. S+SSPR 2018: 406-415 - [c32]Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock:
Directed Network Analysis Using Transfer Entropy Component Analysis. S+SSPR 2018: 491-500 - [c31]Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock:
A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. S+SSPR 2018: 501-511 - [i1]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR abs/1809.02860 (2018) - 2017
- [j10]Liyan Chen, Beizhan Wang, Zhihong Zhang, Fan Lin, Yihan Ma:
Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. Comput. Math. Methods Medicine 2017: 8064743:1-8064743:11 (2017) - [j9]Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Joint hypergraph learning and sparse regression for feature selection. Pattern Recognit. 63: 291-309 (2017) - [j8]Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock:
Quantum kernels for unattributed graphs using discrete-time quantum walks. Pattern Recognit. Lett. 87: 96-103 (2017) - [j7]Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock:
High-order covariate interacted Lasso for feature selection. Pattern Recognit. Lett. 87: 139-146 (2017) - [c30]Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV 2017: 3764-3773 - [c29]Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock:
Deep Face Model Compression Using Entropy-Based Filter Selection. ICIAP (2) 2017: 127-136 - 2016
- [j6]Zhihong Zhang, Jianbing Xiahou, Zheng-Jian Bai, Edwin R. Hancock, Da Zhou, Sibao Chen, Liyan Chen:
Discriminative Lasso. Cogn. Comput. 8(5): 847-855 (2016) - [j5]Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock:
Discriminative sparse representation for face recognition. Multim. Tools Appl. 75(7): 3973-3992 (2016) - [j4]Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock:
High-order graph matching kernel for early carcinoma EUS image classification. Multim. Tools Appl. 75(7): 3993-4012 (2016) - [c28]Yiping Zhang, Zhihong Zhang, Guosheng Hu, Edwin R. Hancock:
Face image super-resolution via weighted patches regression. ICPR 2016: 3892-3897 - [c27]Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock:
P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR 2016: 3-14 - 2015
- [j3]Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou:
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2774-2783 (2015) - [c26]Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock:
An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. CAIP (2) 2015: 85-95 - [c25]Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock:
A High-Order Depth-Based Graph Matching Method. CAIP (1) 2015: 465-476 - [c24]Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Adaptive Graph Learning for Unsupervised Feature Selection. CAIP (1) 2015: 790-800 - [c23]Zhihong Zhang, Jianbing Xiahou, Yuanheng Liang, Yuhan Chen:
Unsupervised feature selection by joint graph learning. ChinaSIP 2015: 554-558 - [c22]Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock:
Coupled-Feature Hypergraph Representation for Feature Selection. GbRPR 2015: 44-53 - [c21]Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock:
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks. GbRPR 2015: 252-261 - [c20]Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang:
Isometric Mapping Hashing. GbRPR 2015: 325-334 - [c19]Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock:
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. ICIAP (1) 2015: 27-38 - [c18]Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Unsupervised Feature Selection by Graph Optimization. ICIAP (1) 2015: 130-140 - [c17]Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock:
An Aligned Subtree Kernel for Weighted Graphs. ICML 2015: 30-39 - [c16]Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock:
A Graph Kernel Based on the Jensen-Shannon Representation Alignment. IJCAI 2015: 3322-3328 - 2014
- [c15]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng:
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014: 1955-1962 - 2013
- [c14]Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou:
A hypergraph based semi-supervised band selection method for hyperspectral image classification. ICIP 2013: 3137-3141 - [c13]Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou:
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. IGARSS 2013: 1474-1477 - 2012
- [j2]Zhihong Zhang, Edwin R. Hancock:
Kernel Entropy-Based Unsupervised spectral Feature Selection. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012) - [j1]Zhihong Zhang, Edwin R. Hancock:
Hypergraph based information-theoretic feature selection. Pattern Recognit. Lett. 33(15): 1991-1999 (2012) - [c12]Zhihong Zhang, Peng Ren, Edwin R. Hancock:
Unsupervised Feature Selection Via Hypergraph Embedding. BMVC 2012: 1-11 - [c11]Zhihong Zhang, Edwin R. Hancock:
Localized Graph-Based Feature Selection for Clustering. ICIAR (1) 2012: 1-10 - [c10]Zhihong Zhang, Edwin R. Hancock:
Face recognition using semi-supervised spectral feature selection. ICPR 2012: 1294-1297 - [c9]Zhihong Zhang, Edwin R. Hancock, Peng Ren:
Hypergraph based semi-supervised learning for gender classification. ICPR 2012: 1747-1750 - [c8]Zhihong Zhang, Edwin R. Hancock:
Unsupervised spectral feature selection for face recognition. ICPR 2012: 1787-1790 - [c7]Zhihong Zhang, Edwin R. Hancock, Xiao Bai:
Hypergraph Spectra for Semi-supervised Feature Selection. ECML/PKDD (1) 2012: 207-222 - [c6]Zhihong Zhang, Edwin R. Hancock:
Hypergraph Spectra for Unsupervised Feature Selection. SSPR/SPR 2012: 620-628 - 2011
- [c5]Zhihong Zhang, Edwin R. Hancock:
A Hypergraph-Based Approach to Feature Selection. CAIP (1) 2011: 228-235 - [c4]Zhihong Zhang, Edwin R. Hancock:
A Graph-Based Approach to Feature Selection. GbRPR 2011: 205-214 - [c3]Zhihong Zhang, Edwin R. Hancock:
Feature Selection for Gender Classification. IbPRIA 2011: 76-83 - [c2]Zhihong Zhang, Edwin R. Hancock, Jing Wu:
An information theoretic approach to gender feature selection. ICCV Workshops 2011: 1425-1431 - [c1]Zhihong Zhang, Edwin R. Hancock:
Mutual Information Criteria for Feature Selection. SIMBAD 2011: 235-249
Coauthor Index
[j40] [j37] [j36] [j34] [j33] [j32] [c43] [i8] [j28] [i7] [i6] [j26] [j25] [j24] [j23] [c41] [j22] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [i2] [j11] [c37] [c36] [c34] [c32] [c31] [i1] [j9] [j8] [j7] [c29] [j6] [j5] [j4] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [c19] [c18] [c17] [c16] [j2] [j1] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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