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ORCIDZhonghua Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j85]Zhonghua Liu, Fa Zhu, Hao Xiong, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos:
Graph regularized discriminative nonnegative matrix factorization. Eng. Appl. Artif. Intell. 139: 109629 (2025)- [j84]Pengfei Yin, Zhonghua Liu, Weihua Ou, Kaibing Zhang:
Unsupervised Vast-Receptive-Field attention for blind Super-Resolution. Expert Syst. Appl. 268: 126190 (2025) - 2024
- [j83]Gulam Sarwar Chuwdhury, Yunshan Guo, Chi-Leung Chiang, Ka-On Lam, Ngar-Woon Kam, Zhonghua Liu
, Wei Dai:
ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction. Briefings Bioinform. 25(2) (2024) - [j82]Jiahao Xiong, Weihua Ou, Yi Yao, Yingying Liu, Zhifan Gao, Zhonghua Liu, Jianping Gou:
STGNet: Spatio-temporal graph neural networks considering inherent properties of physiological signals for camera-based remote photoplethysmography. Biomed. Signal Process. Control. 98: 106690 (2024) - [j81]Furong Li, Ping Li, Xiuming Wu, Pan Zeng, Guorong Lyu, Yuling Fan, Peizhong Liu, Haisheng Song, Zhonghua Liu:
FHUSP-NET: A Multi-task model for fetal heart ultrasound standard plane recognition and key anatomical structures detection. Comput. Biol. Medicine 168: 107741 (2024) - [j80]Jianda Yue, Jiawei Xu, Tingting Li, Yaqi Li, Zihui Chen, Songping Liang, Zhonghua Liu, Ying Wang:
Discovery of potential antidiabetic peptides using deep learning. Comput. Biol. Medicine 180: 109013 (2024) - [j79]Jiahao Xiong, Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu:
GraphPhys: Facial video-based physiological measurement with graph neural network. Comput. Electr. Eng. 113: 109022 (2024) - [j78]Lei Zhang, Xiuming Wu, Jiansong Zhang, Zhonghua Liu, Yuling Fan, Lan Zheng, Peizhong Liu, Haisheng Song, Guorong Lyu:
SEG-LUS: A novel ultrasound segmentation method for liver and its accessory structures based on muti-head self-attention. Comput. Medical Imaging Graph. 113: 102338 (2024) - [j77]Zhonghua Liu, Weihua Ou, Jinbo Liu, Kaibing Zhang, Zhihui Lai, Hao Xiong:
Discriminative transfer regression for low-rank and sparse subspace learning. Eng. Appl. Artif. Intell. 133: 108445 (2024) - [j76]Zhonghua Liu, Weihua Ou, Kaibing Zhang, Hao Xiong:
Robust manifold discriminative distribution adaptation for transfer subspace learning. Expert Syst. Appl. 238(Part E): 122117 (2024) - [j75]Zhonghua Liu, Tiansheng Wang, Fa Zhu, Xingchi Chen, Danilo Pelusi, Athanasios V. Vasilakos:
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation. Expert Syst. Appl. 249: 123673 (2024) - [j74]Xin Wang, Madini O. Alassafi, Fawaz E. Alsaadi, Xingsi Xue, Longhao Zou, Zhonghua Liu:
Enabling Efficient Vehicle-Road Cooperation Through AIoT: A Deep Learning Approach to Computational Offloading. IEEE Internet Things J. 11(22): 36127-36139 (2024) - [j73]Yuanyuan Shu, Jianda Yue, Yaqi Li, Yekui Yin, Jiaxu Wang, Tingting Li, Xiao He, Songping Liang, Gaihua Zhang, Zhonghua Liu, Ying Wang:
Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay. J. Comput. Aided Mol. Des. 38(1): 28 (2024) - [j72]Hailong Li, Zhonghua Liu, Yong Liu, Di Wu, Kaibing Zhang:
Lightweight image super-resolution network using 3D convolutional neural networks. Adv. Math. Commun. 33(1) (2024) - [j71]Weiwei Cheng, Changchao Wang, Yu Wang, Lirong Hao, Zhonghua Liu, Qingliang Cui:
Soil Marginal Effect and LSTM Model in Chinese Solar Greenhouse. Sensors 24(14): 4730 (2024) - [c21]Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky:
Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. ICASSP 2024: 1676-1680 - [c20]Jie Zhang, Hao Xiong, Hecang Zang, Meng Zhou, Dong Liu, Zhonghua Liu, Hualei Shen:
AuxSegCount: Auxiliary Seg-Attention Based Network for Wheat Ears Counting in Field Conditions. ICME 2024: 1-6 - [c19]Qinshuo Liu, Zixin Wang, Xi'an Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu:
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation. ICML 2024 - [i3]Qinshuo Liu, Zixin Wang, Xi-An Li, Xinyao Ji, Lei Zhang, Lin Liu, Zhonghua Liu:
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation. CoRR abs/2408.02045 (2024) - 2023
- [j70]Zhonghua Liu, Fa Zhu, Kaibing Zhang, Zhihui Lai, Hua Huo:
Manifold transfer subspace learning based on double relaxed discriminative regression. Artif. Intell. Rev. 56(S1): 959-981 (2023) - [j69]Yixiu Zhang, Jiaxin Chen, Zhonghua Liu:
Adaptive distance penalty based nonnegative low-rank representation for semi-supervised learning. Appl. Intell. 53(2): 1405-1416 (2023) - [j68]Jinghan Yang, Yuyang Xu, Minhao Yao, Gao Wang, Zhonghua Liu:
ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. BMC Bioinform. 24(1): 180 (2023) - [j67]Jianda Yue, Yaqi Li, Fengjiao Li, Peng Zhang, Yimin Li, Jiawei Xu, Qianqian Zhang, Cheng Zhang, Xiao He, Ying Wang, Zhonghua Liu:
Discovery of Mcl-1 inhibitors through virtual screening, molecular dynamics simulations and in vitro experiments. Comput. Biol. Medicine 152: 106350 (2023) - [j66]Tiansheng Wang, Zhonghua Liu, Weihua Ou, Hua Huo:
Domain adaptation based on feature fusion and multi-attention mechanism. Comput. Electr. Eng. 108: 108726 (2023) - [j65]Yanyan Yang, Zhonghua Liu, Weihua Ou, Wenpeng Lu, Yong Liu, Ruijuan Zheng:
Blind super-resolution model based on unsupervised degenerate indication learning. Comput. Electr. Eng. 111(Part B): 108958 (2023) - [j64]Pengfei Yin, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang:
Corrigendum to "Unsupervised Simple Siamese Representation Learning for Blind Super-Resolution" [Eng. Appl. Artif. Intell. 114 (2022) 105092]. Eng. Appl. Artif. Intell. 123(Part C): 106494 (2023) - [j63]Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Hua Huo:
Discriminative sparse least square regression for semi-supervised learning. Inf. Sci. 636: 118903 (2023) - [j62]Hua Huo, Yali Yu, Zhonghua Liu:
Facial expression recognition based on improved depthwise separable convolutional network. Multim. Tools Appl. 82(12): 18635-18652 (2023) - [j61]Guifang Zhang, Jiaxin Chen, Wenpeng Lu, Zhonghua Liu:
Weighted non-negative matrix factorization based on adaptive robust local sparse graph. Multim. Tools Appl. 82(30): 46313-46330 (2023) - [j60]Yiwei Liu, Cheng Zhang, Zhonghua Liu, Donald G. Truhlar, Ying Wang, Xiao He:
Supervised learning of a chemistry functional with damped dispersion. Nat. Comput. Sci. 3(1): 48-58 (2023) - [j59]Zhonghua Liu, Kaiming Shi, Danmei Niu, Hua Huo, Kaibing Zhang:
Dynamic classifier approximation for unsupervised domain adaptation. Signal Process. 206: 108915 (2023) - [j58]Zhonghua Liu, Shichao Jin, Xiaoqiang Liu, Qiuli Yang, Qing Li, Jingrong Zang, Zhaofeng Li, Tianyu Hu, Zifeng Guo, Jin Wu, Dong Jiang, Yanjun Su:
Extraction of Wheat Spike Phenotypes From Field-Collected Lidar Data and Exploration of Their Relationships With Wheat Yield. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j57]Sichao Qin, Xi Chen, Pengfei Li, Wang Li, Zhengong Wu, Hu Jiang, Zhonghua Liu, Ruiheng Zhang:
Modeling and Evaluating Full-Cycle Natural Gait Detection Based on Human Electrostatic Field. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c18]Shangxian Teng, Zhonghua Liu, Yichen Luo, Pengpeng Zhang:
Improved Solar Photovoltaic Panel Defect Detection Technology Based on YOLOv5. 6GN (1) 2023: 199-213 - [c17]Zhonghua Liu, Shijun Wang, Ning Chen:
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation. INTERSPEECH 2023: 2298-2302 - [i2]Zhonghua Liu, Shijun Wang, Ning Chen:
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation. CoRR abs/2306.12259 (2023) - 2022
- [j56]Yue Lu, Zhonghua Liu, Hua Huo, Chunlei Yang, Kaibing Zhang:
Transfer Subspace Learning based on Double Relaxed Regression for Image Classification. Appl. Intell. 52(14): 16294-16309 (2022) - [j55]Peixin Tian, Minhao Yao, Tao Huang, Zhonghua Liu:
CoxMKF: a knockoff filter for high-dimensional mediation analysis with a survival outcome in epigenetic studies. Bioinform. 38(23): 5229-5235 (2022) - [j54]Peixin Tian, Yiqian Hu, Zhonghua Liu, Yan Dora Zhang:
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures. BMC Bioinform. 23(1): 478 (2022) - [j53]Yimin Li, Yaqi Li, Chao Ning, Jianda Yue, Cheng Zhang, Xiao He, Ying Wang, Zhonghua Liu:
Discovering inhibitors of TEAD palmitate binding pocket through virtual screening and molecular dynamics simulation. Comput. Biol. Chem. 98: 107648 (2022) - [j52]Kaiming Shi, Zhonghua Liu, Wenpeng Lu, Weihua Ou, Chunlei Yang:
Unsupervised domain adaptation based on adaptive local manifold learning. Comput. Electr. Eng. 100: 107941 (2022) - [j51]Sisi Li, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang:
Low-resolution face recognition based on feature-mapping face hallucination. Comput. Electr. Eng. 101: 108136 (2022) - [j50]Pengfeng Yin, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang:
Unsupervised simple Siamese representation learning for blind super-resolution. Eng. Appl. Artif. Intell. 114: 105092 (2022) - [j49]Zongcheng Li, Zhonghua Liu:
Chaos Induced by Heteroclinic Cycles Connecting Repellers for First-Order Partial Difference Equations. Int. J. Bifurc. Chaos 32(4): 2250059:1-2250059:24 (2022) - [j48]Gang Liu, Zixuan Cao, Sen Liu, Bin Song, Zhonghua Liu:
An improved SSD method for infrared target detection based on convolutional neural network. J. Comput. Methods Sci. Eng. 22(4): 1393-1408 (2022) - [j47]Wenwu Wang, Jun Lu, Tiejun Tong, Zhonghua Liu:
Debiased learning and forecasting of first derivative. Knowl. Based Syst. 236: 107781 (2022) - [j46]Jingjing Wang, Zhonghua Liu, Kaibing Zhang, Qingtao Wu, Mingchuan Zhang:
Robust sparse manifold discriminant analysis. Multim. Tools Appl. 81(15): 20781-20796 (2022) - [c16]Min Zhao, Yaojing Yang, Kai Liu, Dazhu Yan, Zhonghua Liu:
A Object Detection Model with Multiple Data Enhancements. AIIPCC 2022: 161-164 - [c15]Yanmei Zhu, Zhonghua Liu, Zhijian Wang, Longxiang Yang, Keshu Peng, Kai Liu:
Tobacco Traceability and Storage Scheme Based on IPFS+ Consortium Chain. BIC 2022: 235-240 - [c14]Siqi Xu, Lin Liu, Zhonghua Liu:
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning. NeurIPS 2022 - [i1]Siqi Xu, Lin Liu, Zhonghua Liu:
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning. CoRR abs/2210.04389 (2022) - 2021
- [j45]Zhonghua Liu, Yue Lu, Zhihui Lai, Weihua Ou, Kaibing Zhang:
Robust sparse low-rank embedding for image dimension reduction. Appl. Soft Comput. 113(Part): 107907 (2021) - [j44]Xiangyu Luo, Joel Schwartz, Andrea A. Baccarelli, Zhonghua Liu:
Testing cell-type-specific mediation effects in genome-wide epigenetic studies. Briefings Bioinform. 22(3) (2021) - [j43]Siqi Xu, Wing Kam Fung, Zhonghua Liu:
MRCIP: a robust Mendelian randomization method accounting for correlated and idiosyncratic pleiotropy. Briefings Bioinform. 22(5) (2021) - [j42]Xiaoli Wang, Zhonghua Liu, Yongzhao Du, Yong Diao, Peizhong Liu, Guorong Lv, Haojun Zhang:
Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion. Comput. Math. Methods Medicine 2021: 6656942:1-6656942:12 (2021) - [j41]Yongsheng Dong, Mingxin Jin, Xuelong Li, Jinwen Ma, Zhonghua Liu, Lin Wang, Lintao Zheng:
Compact Interchannel Sampling Difference Descriptor for Color Texture Classification. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1684-1696 (2021) - 2020
- [j40]Xumin Guo, Hui Ma, Xufang Zhang, Zhuang Ye, Qiang Fu, Zhonghua Liu, Qingkai Han:
Uncertain Frequency Responses of Clamp-Pipeline Systems Using an Interval-Based Method. IEEE Access 8: 29370-29384 (2020) - [j39]Zhonghua Liu, Lingyun Xiang, Kaiming Shi, Kaibing Zhang, Qingtao Wu:
Robust Manifold Embedding for Face Recognition. IEEE Access 8: 101224-101234 (2020) - [j38]Lin Zhang, Zhonghua Liu, Jiexin Pu, Bin Song:
Adaptive graph regularized nonnegative matrix factorization for data representation. Appl. Intell. 50(2): 438-447 (2020) - [j37]Kaibing Zhang, Huake Wang, Wei Liu, Minqi Li, Jian Lu, Zhonghua Liu:
An efficient semi-supervised manifold embedding for crowd counting. Appl. Soft Comput. 96: 106634 (2020) - [j36]Jingjing Wang, Zhonghua Liu, Wenpeng Lu, Kaibing Zhang:
Discriminative Label Relaxed Regression with Adaptive Graph Learning. Comput. Intell. Neurosci. 2020: 8852137:1-8852137:10 (2020) - [j35]Zhonghua Liu, Kaiming Shi, Kaibing Zhang, Weihua Ou, Lin Wang:
Discriminative sparse embedding based on adaptive graph for dimension reduction. Eng. Appl. Artif. Intell. 94: 103758 (2020) - [j34]Gang Liu, Sen Liu, Liuke Liang, Zhonghua Liu, Jianwei Ma:
Scene Matching for Infrared and Visible Images with Compressive Sensing SIFT Feature Representation in Bandelet Domain. Int. J. Pattern Recognit. Artif. Intell. 34(11): 2054029:1-2054029:22 (2020) - [j33]Zhonghua Liu, Gang Liu, Lin Zhang, Jiexin Pu:
Linear regression classification steered discriminative projection for dimension reduction. Multim. Tools Appl. 79(17-18): 11993-12005 (2020) - [j32]Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Ruijuan Zheng:
Structured optimal graph based sparse feature extraction for semi-supervised learning. Signal Process. 170: 107456 (2020)
2010 – 2019
- 2019
- [j31]Zhonghua Liu, Jingjing Wang, Gang Liu, Jiexin Pu:
Sparse Low-Rank Preserving Projection for Dimensionality Reduction. IEEE Access 7: 22941-22951 (2019) - [j30]Yongsheng Dong, Hongyan Zhang, Zhonghua Liu, Chunlei Yang, Guo-Sen Xie, Lintao Zheng, Lin Wang:
Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation. IEEE Access 7: 93887-93897 (2019) - [j29]Lin Zhang, Zhonghua Liu, Lin Wang, Jiexin Pu:
Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation. IEEE Access 7: 112756-112766 (2019) - [j28]Zhonghua Liu, Jingjing Wang, Gang Liu, Lin Zhang:
Discriminative low-rank preserving projection for dimensionality reduction. Appl. Soft Comput. 85 (2019) - [j27]Zhonghua Liu, Weihua Ou, Wenpeng Lu, Lin Wang:
Discriminative feature extraction based on sparse and low-rank representation. Neurocomputing 362: 129-138 (2019) - [j26]Zhonghua Liu, Lin Zhang, Jiexin Pu, Gang Liu, Sen Liu:
Using the Original and Symmetrical Face Test Samples to Perform Two-Step Collaborative Representation for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 33(2): 1956001:1-1956001:15 (2019) - [j25]Zhonghua Liu, Guo-Sen Xie, Lin Zhang, Jiexin Pu:
Fusion linear representation-based classification. Soft Comput. 23(6): 1891-1899 (2019) - [j24]Chunlei Yang, Jiexin Pu, Yongsheng Dong, Guo-Sen Xie, Yanna Si, Zhonghua Liu:
Scene classification-oriented saliency detection via the modularized prescription. Vis. Comput. 35(4): 473-488 (2019) - 2018
- [j23]Gang Liu, Zhonghua Liu, Sen Liu, Jianwei Ma, Fei Wang:
Registration of infrared and visible light image based on visual saliency and scale invariant feature transform. EURASIP J. Image Video Process. 2018: 45 (2018) - [j22]Xiangluo Wang, Chunlei Yang, Guo-Sen Xie, Zhonghua Liu:
Image Thresholding Segmentation on Quantum State Space. Entropy 20(10): 728 (2018) - [j21]Zhonghua Liu, Gang Liu, Jiexin Pu, Xiaohong Wang, Haijun Wang:
Orthogonal sparse linear discriminant analysis. Int. J. Syst. Sci. 49(4): 848-858 (2018) - [j20]Chunlei Yang, Xiangluo Wang, Jiexin Pu, Guo-Sen Xie, Zhonghua Liu, Yongsheng Dong, Lingfei Liang:
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection. J. Vis. Commun. Image Represent. 56: 27-37 (2018) - [c13]Lin Zhang, Ruili Zhao, Mengxing Huang, Zhonghua Liu, Jieren Cheng, Yu Zhang:
Research on Indirect Location Technology of Ground Target Based on Scene Matching. ICCCS (2) 2018: 90-104 - 2017
- [j19]Zhonghua Liu, Shan Xue, Lin Zhang, Jiexin Pu, Haijun Wang:
An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2, 1}$ -Norm Regularization. IEEE Access 5: 14133-14140 (2017) - [j18]Guo-Sen Xie, Xiao-Bo Jin, Zheng Zhang, Zhonghua Liu, Xiaowei Xue, Jiexin Pu:
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering. IEEE Access 5: 24895-24907 (2017) - [j17]Zhonghua Liu, Gang Liu, Jiexin Pu, Shigang Liu:
Noisy label based discriminative least squares regression and its kernel extension for object identification. KSII Trans. Internet Inf. Syst. 11(5): 2523-2538 (2017) - [j16]Zhonghua Liu, Xiaohong Wang, Jiexin Pu, Lin Wang, Lin Zhang:
Nonnegative low-rank representation based manifold embedding for semi-supervised learning. Knowl. Based Syst. 136: 121-129 (2017) - [j15]Zhonghua Liu, Yong Qiu, Yali Peng, Jiexin Pu, Xiaoli Zhang:
Quaternion Based Maximum Margin Criterion Method for Color Face Recognition. Neural Process. Lett. 45(3): 913-923 (2017) - [j14]Chunlei Yang, Jiexin Pu, Guo-Sen Xie, Yongsheng Dong, Zhonghua Liu:
Extended Locality-Constrained Linear Self-Coding for Saliency Detection. IEEE Signal Process. Lett. 24(10): 1458-1462 (2017) - [j13]Chunlei Yang, Jiexin Pu, Yongsheng Dong, Zhonghua Liu, Lingfei Liang, Xiaohong Wang:
Salient object detection in complex scenes via D-S evidence theory based region classification. Vis. Comput. 33(11): 1415-1428 (2017) - 2016
- [j12]Zhonghua Liu, Jiexin Pu, Yong Qiu, Moli Zhang, Xiaoli Zhang, Guangjun Huang:
A Kernel Two-Phase Test Sample Sparse Representation for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1656001:1-1656001:14 (2016) - [j11]Zhonghua Liu, Chunlei Yang, Jiexin Pu, Gang Liu, Sen Liu:
Robust Minimum Squared Error Classification Algorithm with Applications to Face Recognition. KSII Trans. Internet Inf. Syst. 10(1): 308-320 (2016) - 2015
- [j10]Zheng Zhang, Long Wang, Qi Zhu, Zhonghua Liu, Yan Chen:
Noise modeling and representation based classification methods for face recognition. Neurocomputing 148: 420-429 (2015) - [j9]Zhonghua Liu, Cheng Jiang, Juyun Wang, Hua Yu:
The node importance in actual complex networks based on a multi-attribute ranking method. Knowl. Based Syst. 84: 56-66 (2015) - [j8]Zhonghua Liu, Jiexin Pu, Meiyu Xu, Yong Qiu:
Face Recognition Via Weighted Two Phase Test Sample Sparse Representation. Neural Process. Lett. 41(1): 43-53 (2015) - 2014
- [j7]Qingqing Lu, Jiexin Pu, Zhonghua Liu:
Feature Extraction and Automatic Material Classification of Underground Objects from Ground Penetrating Radar Data. J. Electr. Comput. Eng. 2014: 347307:1-347307:10 (2014) - [c12]Zhonghua Liu, Xuhui Zhao, Tao Huang, Jiexin Pu, Yanna Si:
Enhanced collaborative representation based Classification. ICIA 2014: 447-450 - 2013
- [j6]Zhonghua Liu, Jiexin Pu, Tao Huang, Yong Qiu:
A novel classification method for palmprint recognition based on reconstruction error and normalized distance. Appl. Intell. 39(2): 307-314 (2013) - [j5]Juan Wang, Qi Gu, Jie Hao, Donghui Bai, Lei Liu, Xiao-Yang Zhao, Zhonghua Liu, Liu Wang, Qi Zhou:
Generation of Induced Pluripotent Stem Cells with High Efficiency from Human Umbilical Cord Blood Mononuclear Cells. Genom. Proteom. Bioinform. 11(5): 304-311 (2013) - [j4]Wenteng He, Qingran Kong, Yongqian Shi, Bingteng Xie, Mingxia Jiao, Tianqing Huang, Shimeng Guo, Kui Hu, Zhonghua Liu:
Generation and Developmental Characteristics of Porcine Tetraploid Embryos and Tetraploid/diploid Chimeric Embryos. Genom. Proteom. Bioinform. 11(5): 327-333 (2013) - [j3]Zhonghua Liu, Haixia Zhao, Jiexin Pu, Hui Wang:
Face recognition under varying illumination. Neural Comput. Appl. 23(1): 133-139 (2013) - [c11]Shibin Wang, Guoying Li, Xuefeng Chen, Yi Xia, Zhonghua Liu:
Matching demodulation transform with applications to feature extraction of rotor rub-impact fault. I2MTC 2013: 1703-1707 - 2012
- [j2]Zhonghua Liu, Jingyan Wang, Jiaju Man, Yongping Li, Xinge You, Chao Wang:
Self-adaptive local Fisher discriminant analysis for semi-supervised image recognition. Int. J. Biom. 4(4): 338-356 (2012) - [j1]Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang:
Kernel sparse representation based classification. Neurocomputing 77(1): 120-128 (2012) - [c10]Lingfei Liang, Ziliang Ping, Zhonghua Liu:
Edge detection via window empirical mode decomposition. FSKD 2012: 1783-1786 - 2011
- [c9]Zhonghua Liu, Hua Yu, Jie Sui, Degang Liu, Juyun Wang:
A research on vehicle scheduling problem to rescue the victims from chemical and biological terrorist attacks. ICAL 2011: 356-361 - [c8]Zhonghua Liu, Jingyan Wang, Yongping Li, Ying Zhang, Chao Wang:
Quantized image patches co-occurrence matrix: a new statistical approach for texture classification using image patch exemplars. ICDIP 2011: 80092P - 2010
- [c7]Peng Yu, Jian-wei Lv, Jian-jun Yang, Zhonghua Liu:
The Selection of Navy Vessel's Support Alternatives in Operation Cycle by Cost-Effectiveness Analysis. ICEE 2010: 2847-2850 - [c6]Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin:
Face recognition based on the quotient image method and sparse representation. ICNC 2010: 967-971 - [c5]Zhonghua Liu, Jingbo Zhou, Zhong Jin:
Face Recognition Based on Illumination Adaptive LDA. ICPR 2010: 894-897
2000 – 2009
- 2008
- [c4]E. Zhang, Yanshan Li, Mingli Liu, Zhonghua Liu:
Modeling and Optimizing of Human Upper Limb Posture of Mechanical System Human-Machine Interface. ICIRA (1) 2008: 566-576 - [c3]Zhonghua Liu, E. Zhang, Zhihong Ji:
Simulation and Experimental Study of Human Riding Comfort in Dynamic Man-Automobile System. ICIRA (1) 2008: 577-587 - 2006
- [c2]Min Huang, Jianqin Ding, Zhonghua Liu, W. H. Ip, Kai-Leung Yung, Xingwei Wang:
Optimization of Control Strategy of a Serial Supply Chain Based on Pheromone Evolutionary Algorithm. IEEE Congress on Evolutionary Computation 2006: 2707-2712 - [c1]Min Huang, Jianqin Ding, W. H. Ip, Kai-Leung Yung, Zhonghua Liu, Xingwei Wang:
The Research on the Optimal Control Strategy of a Serial Supply Chain Based on GA. ICNC (1) 2006: 657-665
Coauthor Index
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