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Zhong Jin
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2020 – today
- 2024
- [j109]Zhong Jin, Mingde Gong, Dingxuan Zhao, Bin Su, Jie Zhu, Yue Zhang, Wenbin Liu:
Model Predictive Control for Unmanned Excavator Based on Skilled Operator's Operation Trajectory. IEEE Access 12: 103704-103719 (2024) - [j108]Zhao Xu, Zhiyang Jia, YiWei Wei, Shuyan Zhang, Zhong Jin, Wenpei Dong:
CSDANet: a new lightweight fault diagnosis framework towards heavy noise and small samples. Clust. Comput. 27(7): 9615-9634 (2024) - [j107]Wenshi Wu, Beibei Wang, Milos Hasan, Lei Zhang, Zhong Jin, Ling-Qi Yan:
Efficient participating media rendering with differentiable regularization. Comput. Vis. Media 10(5): 937-948 (2024) - [j106]Beibei Zhou, Yiming Tu, Zhong Jin, Cheng-Zhong Xu, Hui Kong:
HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver. IEEE Trans. Intell. Veh. 9(1): 2727-2739 (2024) - [c66]Runfeng Jin, Wenhao Liang, Haoyuan Zhang, Yinxuan Song, Zhen Luo, Haibo Ma, Yingjin Ma, Zhong Jin:
PASCI : A Scalable Framework for Heterogeneous Parallel Calculation of Dynamical Electron Correlation. ICPP 2024: 1103-1113 - [i4]Huangchao Xu, Baohua Zhang, Zhong Jin, Tiannian Zhu, Quansheng Wu, Hongming Weng:
TopoChat: Enhancing Topological Materials Retrieval With Large Language Model and Multi-Source Knowledge. CoRR abs/2409.13732 (2024) - 2023
- [j105]Yingjin Ma, ZhiYing Li, Xin Chen, Bowen Ding, Ning Li, Teng Lu, Baohua Zhang, Bingbing Suo, Zhong Jin:
Machine-learning assisted scheduling optimization and its application in quantum chemical calculations. J. Comput. Chem. 44(12): 1174-1188 (2023) - [j104]Beibei Zhou, Jin Xie, Zhong Jin, Hui Kong:
Geometry-Aware Network for Unsupervised Learning of Monocular Camera's Ego-Motion. IEEE Trans. Intell. Transp. Syst. 24(12): 14226-14236 (2023) - [j103]Minzhu Yu, Yang Wang, Xiaomin Yu, Guihua Shan, Zhong Jin:
PubExplorer: An interactive analytical system for visualizing publication data. Vis. Informatics 7(3): 65-74 (2023) - [c65]Wenhao Liang, Runfeng Jin, Yingqi Tian, Yingjin Ma, Zhong Jin:
Efficient Computing for Reduced Density Matrix on GPUs. HPCC/DSS/SmartCity/DependSys 2023: 146-153 - [c64]Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao:
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. NeurIPS 2023 - [c63]Jun Li, Ning Ding, Chen Gong, Zhong Jin, Guangyu Li:
Effective Small Ship Detection with Enhanced-YOLOv7. PRCV (10) 2023: 249-260 - [i3]Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao:
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. CoRR abs/2303.00196 (2023) - 2022
- [j102]Baohua Zhang, Hui Li, Kunqian Yu, Zhong Jin:
Molecular docking-based computational platform for high-throughput virtual screening. CCF Trans. High Perform. Comput. 4(1): 63-74 (2022) - [j101]Lianhua He, Qian Liu, Baohua Zhang, Jingfa Xiao, Zhong Jin:
Biomedical application community based on China high-performance computing environment. CCF Trans. High Perform. Comput. 4(1): 75-85 (2022) - [j100]Xulin Song, Jun Liu, Zhong Jin:
Dual Prototype Contrastive learning with Fourier Generalization for Domain Adaptive Person Re-identification. Knowl. Based Syst. 256: 109851 (2022) - [j99]Zhong Jin, Junwang Tian, Xin Tang, Junhui Li:
Simulation and reliability testing of leadless package high-temperature pressure sensor. Microelectron. J. 129: 105568 (2022) - [j98]Xulin Song, Zhong Jin:
Domain adaptive attention-based dropout for one-shot person re-identification. Int. J. Mach. Learn. Cybern. 13(1): 255-268 (2022) - [j97]Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang:
WakaVT: A Sequential Variational Transformer for Waka Generation. Neural Process. Lett. 54(2): 731-750 (2022) - [j96]Xing Jin, Zhihui Lai, Wenyun Sun, Zhong Jin:
Facial Expression Recognition Based on Depth Fusion and Discriminative Association Learning. Neural Process. Lett. 54(3): 2025-2047 (2022) - [j95]Fei Yang, Franck Davoine, Huan Wang, Zhong Jin:
Continuous conditional random field convolution for point cloud segmentation. Pattern Recognit. 122: 108357 (2022) - [j94]Xulin Song, Zhong Jin:
Robust Label Rectifying With Consistent Contrastive-Learning for Domain Adaptive Person Re-Identification. IEEE Trans. Multim. 24: 3229-3239 (2022) - 2021
- [j93]Xing Jin, Zhong Jin:
MiniExpNet: A small and effective facial expression recognition network based on facial local regions. Neurocomputing 462: 353-364 (2021) - [j92]Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao:
Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. 15(3): 522-534 (2021) - [j91]Xin Tang, Junwang Tian, Jiafeng Zhao, Zhong Jin, Yunpeng Liu, Junfu Liu, Taotao Chen, Junhui Li:
Structure design and optimization of SOI high-temperature pressure sensor chip. Microelectron. J. 118: 105245 (2021) - [j90]Xing Jin, Zhihui Lai, Zhong Jin:
Learning Dynamic Relationships for Facial Expression Recognition Based on Graph Convolutional Network. IEEE Trans. Image Process. 30: 7143-7155 (2021) - [c62]Xiaobo Wang, Wenyun Sun, Zhong Jin:
Facial Representation Extraction by Mutual Information Maximization and Correlation Minimization. ACIIDS 2021: 811-823 - [c61]Pengfei Zhang, Xiang Li, Jianjun Qian, Zhong Jin, Jian Yang:
Hierarchical Attentive Upsampling on Input Signals for Remote Heart Rate Estimation. ACPR (2) 2021: 159-173 - [c60]Jian Ren, Jin Xie, Zhong Jin:
Hierarchical Multi-scale Architecture Search for Self-supervised Monocular Depth Estimation. ACPR (2) 2021: 447-461 - [c59]Fei Yang, Huan Wang, Zhong Jin:
Adaptive GMM Convolution for Point Cloud Learning. BMVC 2021: 8 - [i2]Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang:
WakaVT: A Sequential Variational Transformer for Waka Generation. CoRR abs/2104.00426 (2021) - [i1]Fei Yang, Franck Davoine, Huan Wang, Zhong Jin:
Continuous Conditional Random Field Convolution for Point Cloud Segmentation. CoRR abs/2110.06085 (2021) - 2020
- [j89]Wenyun Sun, Yu Song, Haitao Zhao, Zhong Jin:
A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation. IEEE Access 8: 66553-66563 (2020) - [j88]Xing Jin, Wenyun Sun, Zhong Jin:
A discriminative deep association learning for facial expression recognition. Int. J. Mach. Learn. Cybern. 11(4): 779-793 (2020) - [j87]Andong Wang, Zhong Jin, Jing-yu Yang:
A faster tensor robust PCA via tensor factorization. Int. J. Mach. Learn. Cybern. 11(12): 2771-2791 (2020) - [j86]Fei Yang, Huan Wang, Zhong Jin:
A fusion network for road detection via spatial propagation and spatial transformation. Pattern Recognit. 100: 107141 (2020) - [j85]Andong Wang, Zhong Jin, Guoqing Tang:
Robust tensor decomposition via t-SVD: Near-optimal statistical guarantee and scalable algorithms. Signal Process. 167 (2020) - [j84]Xiyin Wu, Dongxu Gao, David Borroni, Savita Madhusudhan, Zhong Jin, Yalin Zheng:
Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images. IEEE J. Biomed. Health Informatics 24(12): 3480-3490 (2020) - [c58]Andong Wang, Chao Li, Zhong Jin, Qibin Zhao:
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. AAAI 2020: 6102-6109 - [c57]Zhen Liu, Mingwu Ren, Zhong Jin:
Inverse Depth Line Model of LiDAR Data for Traversable Region Segmentation. EITCE 2020: 489-494
2010 – 2019
- 2019
- [j83]Xiyin Wu, Xiaodi Ma, Jinxia Zhang, Zhong Jin:
Salient object detection via reliable boundary seeds and saliency refinement. IET Comput. Vis. 13(3): 302-311 (2019) - [j82]Andong Wang, Zhihui Lai, Zhong Jin:
Noisy low-tubal-rank tensor completion. Neurocomputing 330: 267-279 (2019) - [j81]Wenyun Sun, Yu Song, Zhong Jin, Haitao Zhao, Changsheng Chen:
Unsupervised Orthogonal Facial Representation Extraction via image reconstruction with correlation minimization. Neurocomputing 337: 203-217 (2019) - [j80]Jie Ma, Tao Chen, Songfeng Wu, Chunyuan Yang, Mingze Bai, Kunxian Shu, Kenli Li, Guoqing Zhang, Zhong Jin, Fuchu He, Henning Hermjakob, Yunping Zhu:
iProX: an integrated proteome resource. Nucleic Acids Res. 47(Database-Issue): D1211-D1217 (2019) - [j79]Wenyun Sun, Haitao Zhao, Zhong Jin:
A facial expression recognition method based on ensemble of 3D convolutional neural networks. Neural Comput. Appl. 31(7): 2795-2812 (2019) - [j78]Qing Liu, Franck Davoine, Jian Yang, Ying Cui, Zhong Jin, Fei Han:
A Fast and Accurate Matrix Completion Method Based on QR Decomposition and $L_{2, 1}$ -Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(3): 803-817 (2019) - [c56]Xulin Song, Jingyu Yang, Zhong Jin:
Residual Attention Encoding Neural Network for Terrain Texture Classification. ACPR (2) 2019: 52-63 - [c55]Andong Wang, Zhong Jin, Jingyu Yang:
A Factorization Strategy for Tensor Robust PCA. ACPR (1) 2019: 424-437 - [c54]Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin:
Latent Schatten TT Norm for Tensor Completion. ICASSP 2019: 2922-2926 - [c53]Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin:
Generalized Dantzig Selector for Low-tubal-rank Tensor Recovery. ICASSP 2019: 3427-3431 - [c52]Andong Wang, Xulin Song, Xiyin Wu, Zhihui Lai, Zhong Jin:
Robust Low-tubal-rank Tensor Completion. ICASSP 2019: 3432-3436 - [c51]Xiyin Wu, Dongxu Gao, Bryan M. Williams, Amira Stylianides, Yalin Zheng, Zhong Jin:
Joint Destriping and Segmentation of OCTA Images. MIUA 2019: 423-435 - 2018
- [j77]Andong Wang, Dongxu Wei, Bo Wang, Zhong Jin:
Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding. IEEE Access 6: 35112-35128 (2018) - [j76]Wenyun Sun, Haitao Zhao, Zhong Jin:
A visual attention based ROI detection method for facial expression recognition. Neurocomputing 296: 12-22 (2018) - [j75]Wenyun Sun, Haitao Zhao, Zhong Jin:
A complementary facial representation extracting method based on deep learning. Neurocomputing 306: 246-259 (2018) - [j74]Fadi Dornaika, Libo Weng, Zhong Jin:
Structured sparse graphs using manifold constraints for visual data analysis. Neurocomputing 315: 107-114 (2018) - [j73]Xiaodi Ma, Xiyin Wu, Zhong Jin:
基于字典和加权低秩恢复的显著目标检测 (Salient Object Detection Based on Dictionary and Weighted Low-rank Recovery). 计算机科学 45(6A): 146-150 (2018) - [j72]Xiaoling Xu, Zhong Jin, Shenglan Ben:
基于标签敏感最大间隔准则的人脸年龄两步估计算法 (Facial Age Two-steps Estimation Algorithm Based on Label-sensitive Maximum Margin Criterion). 计算机科学 45(6): 284-290 (2018) - [j71]Shuai Zhang, Shun Xu, Qian Liu, Zhong Jin:
基于GPU的分子动力学模拟Cell Verlet算法实现及其并行性能分析 (Cell Verlet Algorithm of Molecular Dynamics Simulation Based on GPU and Its Parallel Performance Analysis). 计算机科学 45(10): 291-294 (2018) - [j70]Xiyin Wu, Zhong Jin, Jingbo Zhou, Xiaodi Ma:
Saliency propagation with perceptual cues and background-excluded seeds. J. Vis. Commun. Image Represent. 54: 51-62 (2018) - [j69]Jun Ye, Zhong Jin:
Hyper-graph regularized discriminative concept factorization for data representation. Soft Comput. 22(13): 4417-4429 (2018) - [c50]Yingqi Tian, Bingbing Suo, Yingjin Ma, Zhong Jin:
Optimizing two-electron repulsion integral calculation on knights landing architecture. HPC Asia Workshops 2018: 48-51 - [c49]Xiyin Wu, Xiaodi Ma, Jinxia Zhang, Andong Wang, Zhong Jin:
Salient Object Detection Via Deformed Smoothness Constraint. ICIP 2018: 2815-2819 - [c48]Fei Yang, Jian Yang, Zhong Jin, Huan Wang:
A Fusion Model for Road Detection based on Deep Learning and Fully Connected CRF. SoSE 2018: 29-36 - 2017
- [j68]Zhong Jin, David Yang Gao:
On modeling and global solutions for d.c. optimization problems by canonical duality theory. Appl. Math. Comput. 296: 168-181 (2017) - [j67]Wenyun Sun, Haitao Zhao, Zhong Jin:
An efficient unconstrained facial expression recognition algorithm based on Stack Binarized Auto-encoders and Binarized Neural Networks. Neurocomputing 267: 385-395 (2017) - [j66]Jun Ye, Zhong Jin:
基于对偶超图正则化的概念分解算法及其在数据表示中的应用 (Hypergraph Dual Regularization Concept Factorization Algorithm and Its Application in Data Representation). 计算机科学 44(7): 309-314 (2017) - [j65]Hao Zheng, Jie Zhu, Zhongxue Yang, Zhong Jin:
Effective micro-expression recognition using relaxed K-SVD algorithm. Int. J. Mach. Learn. Cybern. 8(6): 2043-2049 (2017) - [j64]Jun Ye, Zhong Jin:
Feature Selection for Adaptive Dual-Graph Regularized Concept Factorization for Data Representation. Neural Process. Lett. 45(2): 667-688 (2017) - [j63]Jun Ye, Zhong Jin:
Graph-Regularized Local Coordinate Concept Factorization for Image Representation. Neural Process. Lett. 46(2): 427-449 (2017) - [c47]Andong Wang, Zhong Jin, Xiangrui Li:
Coherent Low-tubal-Rank Tensor Completion. ACPR 2017: 518-523 - [c46]Xiaoling Xu, Zhong Jin:
Facial Age Estimation via Label-Sensitive Supervised Neighborhood-Based Fisher Discriminant Analysis and Two-Steps Local Regression. ACPR 2017: 611-616 - [c45]Wei Jiang, Zhong Jin:
Integrating Bidirectional LSTM with Inception for Text Classification. ACPR 2017: 870-875 - [c44]Andong Wang, Zhong Jin:
Near-Optimal Noisy Low-Tubal-Rank Tensor Completion via Singular Tube Thresholding. ICDM Workshops 2017: 553-560 - 2016
- [j62]Zongwei Zhou, Zhong Jin:
Two-dimension principal component analysis-based motion detection framework with subspace update of background. IET Comput. Vis. 10(6): 603-612 (2016) - [j61]Hao Zheng, Xin Geng, Dacheng Tao, Zhong Jin:
A multi-task model for simultaneous face identification and facial expression recognition. Neurocomputing 171: 515-523 (2016) - [j60]Zongwei Zhou, Zhong Jin:
Double nuclear norm-based robust principal component analysis for image disocclusion and object detection. Neurocomputing 205: 481-489 (2016) - [j59]Libo Weng, Fadi Dornaika, Zhong Jin:
Graph construction based on data self-representativeness and Laplacian smoothness. Neurocomputing 207: 476-487 (2016) - [j58]Yi Wang, Zhong Jin:
基于矩阵完整化的分块整合推荐算法 (Split-Integration Recommendation Algorithm Based on Matrix Completion). 计算机科学 43(5): 219-222 (2016) - [j57]Libo Weng, Fadi Dornaika, Zhong Jin:
Flexible constrained sparsity preserving embedding. Pattern Recognit. 60: 813-823 (2016) - [j56]Qing Liu, Zhihui Lai, Zongwei Zhou, Fangjun Kuang, Zhong Jin:
A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion. IEEE Trans. Image Process. 25(1): 316-330 (2016) - [c43]Wenyun Sun, Haitao Zhao, Zhong Jin:
3D Convolutional Neural Networks for Facial Expression Classification. ACCV Workshops (1) 2016: 528-543 - [c42]Yu Chen, Jianjun Qian, Jian Yang, Zhong Jin:
Face alignment with Cascaded Bidirectional LSTM Neural Networks. ICPR 2016: 313-318 - 2015
- [j55]Wei Huang, Xiaohui Wang, Zhong Jin, Jianzhong Li:
Penalized collaborative representation based classification for face recognition. Appl. Intell. 43(4): 722-731 (2015) - [j54]Yingjie Gu, Zhong Jin, Steve C. Chiu:
Active learning combining uncertainty and diversity for multi-class image classification. IET Comput. Vis. 9(3): 400-407 (2015) - [j53]Wei Huang, Xiaohui Wang, Jianzhong Li, Zhong Jin:
A Novel Feature Extraction Method Based on Collaborative Representation for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 29(4): 1556004:1-1556004:15 (2015) - [j52]Ying Cui, Jian Zhang, Dongyan Guo, Zhong Jin:
Robust facial landmark localization using classified random ferns and pose-based initialization. Signal Process. 110: 46-53 (2015) - [j51]Fangjun Kuang, Siyang Zhang, Zhong Jin, Weihong Xu:
A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection. Soft Comput. 19(5): 1187-1199 (2015) - [r2]Jian Yang, Zhong Jin, Jingyu Yang:
Nonlinear Techniques for Dimension Reduction. Encyclopedia of Biometrics 2015: 1163-1168 - 2014
- [j50]Jingbo Zhou, Shangbing Gao, Yunyang Yan, Zhong Jin:
Saliency detection framework via linear neighbourhood propagation. IET Image Process. 8(12): 804-814 (2014) - [j49]Jun Ye, Zhong Jin:
Dual-graph regularized concept factorization for clustering. Neurocomputing 138: 120-130 (2014) - [j48]Yan Cui, Zhong Jin, Jielin Jiang:
A novel supervised feature extraction and classification fusion algorithm for land cover recognition of the off-land scenario. Neurocomputing 140: 77-83 (2014) - [j47]Minghua Wan, Ming Li, Guowei Yang, Shan Gai, Zhong Jin:
Feature extraction using two-dimensional maximum embedding difference. Inf. Sci. 274: 55-69 (2014) - [j46]Hao Zheng, Qiaolin Ye, Zhong Jin:
A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition. KSII Trans. Internet Inf. Syst. 8(4): 1463-1480 (2014) - [j45]Zhihui Lai, Yong Xu, Zhong Jin, David Zhang:
Human Gait Recognition via Sparse Discriminant Projection Learning. IEEE Trans. Circuits Syst. Video Technol. 24(10): 1651-1662 (2014) - [c41]Ying Tai, Jianjun Qian, Jian Yang, Zhong Jin:
Face Recognition with Image Misalignment via Structure Constraint Coding. ACCV Workshops (3) 2014: 558-573 - [c40]Fangjun Kuang, Zhong Jin, Weihong Xu, Siyang Zhang:
A novel chaotic artificial bee colony algorithm based on Tent map. IEEE Congress on Evolutionary Computation 2014: 235-241 - [c39]Yingjie Gu, Zhong Jin, Steve C. Chiu:
Active Learning with Maximum Density and Minimum Redundancy. ICONIP (1) 2014: 103-110 - [c38]Yingjie Gu, Zhong Jin, Steve C. Chiu:
Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency. ICONIP (1) 2014: 215-222 - [c37]Hui Yan, Zhong Jin, Jian Yang:
Sparse Representation Preserving for Unsupervised Feature Selection. ICPR 2014: 1574-1578 - [c36]Xiaobo Chen, Jian Yang, Zhong Jin:
An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction. ICPR 2014: 1585-1590 - [c35]Yingjie Gu, Dawid Zydek, Zhong Jin:
Active Learning based on Random Forest and Its Application to Terrain Classification. ICSEng 2014: 273-278 - 2013
- [j44]Jingde Bu, Xuebin Chi, Zhong Jin:
HSA: A Heuristic Splice Alignment Tool. BMC Syst. Biol. 7(S-2): S10 (2013) - [j43]Jun Ye, Zhong Jin:
Non-negative matrix factorisation based on fuzzy K nearest neighbour graph and its applications. IET Comput. Vis. 7(5): 346-353 (2013) - [j42]Zhong Jin:
A Globally Convergent Line Search Filter SQP Method for Inequality Constrained Optimization. J. Appl. Math. 2013: 524539:1-524539:10 (2013) - [j41]Yingjie Gu, Zhong Jin:
Neighborhood preserving D-optimal design for active learning and its application to terrain classification. Neural Comput. Appl. 23(7-8): 2085-2092 (2013) - [j40]Zhihui Lai, Yajing Li, Minghua Wan, Zhong Jin:
Local sparse representation projections for face recognition. Neural Comput. Appl. 23(7-8): 2231-2239 (2013) - [j39]Yi Chen, Zhenzhen Li, Zhong Jin:
Feature Extraction Based on Maximum Nearest Subspace Margin Criterion. Neural Process. Lett. 37(3): 355-375 (2013) - [j38]Jingbo Zhou, Zhong Jin:
A New Framework for Multiscale Saliency Detection Based on Image Patches. Neural Process. Lett. 38(3): 361-374 (2013) - [c34]Yan Cui, Xiaodong Cai, Zhong Jin:
Semi-supervised classification using sparse representation for cancer recurrence prediction. GENSiPS 2013: 102-105 - [c33]Wei Huang, Xiaohui Wang, Zhong Jin:
Face Recognition with Single Training Sample per Person Using Sparse Representation. RVSP 2013: 84-88 - 2012
- [j37]Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang:
Kernel sparse representation based classification. Neurocomputing 77(1): 120-128 (2012) - [j36]Yi Chen, Zhong Jin:
Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification. Neurocomputing 87: 41-50 (2012) - [j35]Jingbo Zhou, Shangbing Gao, Zhong Jin:
A New Connected Coherence Tree Algorithm For Image Segmentation. KSII Trans. Internet Inf. Syst. 6(4): 1188-1202 (2012) - [j34]Zhong Jin, Yuqing Wang:
An Improved Line Search Filter Method for the System of Nonlinear Equations. J. Appl. Math. 2012: 273141:1-273141:15 (2012) - [j33]Gui-Fu Lu, Zhong Jin, Jian Zou:
Face recognition using discriminant sparsity neighborhood preserving embedding. Knowl. Based Syst. 31: 119-127 (2012) - [j32]Minghua Wan, Ming Li, Zhihui Lai, Jun Yin, Zhong Jin:
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics. Mach. Vis. Appl. 23(5): 985-997 (2012) - [j31]Jun Yin, Zhong Jin:
From NLDA to LDA/GSVD: a modified NLDA algorithm. Neural Comput. Appl. 21(7): 1575-1583 (2012) - [j30]Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang:
Weighted linear embedding: utilizing local and nonlocal information sufficiently. Neural Comput. Appl. 21(8): 1845-1853 (2012) - [j29]Zhihui Lai, Zhong Jin, Jian Yang, Mingming Sun:
Dynamic transition embedding for image feature extraction and recognition. Neural Comput. Appl. 21(8): 1905-1915 (2012) - [j28]Hao Zheng, Jianchun Xie, Zhong Jin:
Heteroscedastic Sparse Representation Based Classification for Face Recognition. Neural Process. Lett. 35(3): 233-244 (2012) - [j27]Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu:
Sparse Approximation to the Eigensubspace for Discrimination. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1948-1960 (2012) - [c32]Hao Zheng, Fan Liu, Zhong Jin:
Multiple Kernel Sparse Representation Based Classification. CCPR 2012: 48-55 - [c31]Shenglan Ben, Jie Ma, Zhong Jin, Jingyu Yang:
Encode Locally, Discriminate Holistically: A Method Extracting Multi-resolution Features for Facial Age Estimation. CCPR 2012: 292-299 - [c30]Yan Cui, Zhong Jin:
Feature extraction using fuzzy complete linear discriminant analysis. FUZZ-IEEE 2012: 1-5 - [c29]Shenglan Ben, Zhong Jin, Jingyu Yang:
Automatic fuzzy clustering based on mistake analysis. ICPR 2012: 2914-2917 - [c28]Jingbo Zhou, Zhong Jin, Jingyu Yang:
Multiscale saliency detection using principle component analysis. IJCNN 2012: 1-6 - [c27]Jingde Bu, Jiayan Wu, Meili Chen, Jing-Fa Xiao, Jun Yu, Xuebin Chi, Zhong Jin:
BAsplice: Bi-direction alignment for detecting splice junctions. ISB 2012: 252-255 - [c26]Jun Ye, Zhong Jin:
Nonnegative Matrix Factorization on Orthogonal Subspace with Smoothed L0 Norm Constrained. IScIDE 2012: 1-7 - [c25]Yin Liu, Ying Cui, Zhong Jin:
Neighborhood-Preserving Estimation Algorithm for Facial Landmark Points. IScIDE 2012: 630-638 - 2011
- [j26]Minghua Wan, Guowei Yang, Wei Huang, Zhong Jin:
Class mean embedding for face recognition. Artif. Intell. Rev. 36(4): 285-297 (2011) - [j25]Minghua Wan, Zhihui Lai, Zhong Jin:
Feature extraction using two-dimensional local graph embedding based on maximum margin criterion. Appl. Math. Comput. 217(23): 9659-9668 (2011) - [j24]Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert J. Harrison, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Müller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz, Bob Sugar, Shinji Sumimoto, William M. Tang, John A. Taylor, Rajeev Thakur, Anne E. Trefethen, Mateo Valero, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick:
The International Exascale Software Project roadmap. Int. J. High Perform. Comput. Appl. 25(1): 3-60 (2011) - [j23]Zhihui Lai, Minghua Wan, Zhong Jin, Jian Yang:
Sparse two-dimensional local discriminant projections for feature extraction. Neurocomputing 74(4): 629-637 (2011) - [j22]Zhihui Lai, Cairong Zhao, Yi Chen, Zhong Jin:
Maximal local interclass embedding with application to face recognition. Mach. Vis. Appl. 22(4): 619-627 (2011) - [j21]Zhihui Lai, Minghua Wan, Zhong Jin:
Locality preserving embedding for face and handwriting digital recognition. Neural Comput. Appl. 20(4): 565-573 (2011) - [j20]Gui-Fu Lu, Zhong Lin, Zhong Jin:
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition. Neural Process. Lett. 33(3): 235-250 (2011) - [j19]Minghua Wan, Zhihui Lai, Zhong Jin:
Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction. Neural Process. Lett. 33(3): 267-282 (2011) - [c24]Zhihui Lai, Qingcai Chen, Zhong Jin:
Sparse bilinear preserving projections. ACPR 2011: 372-376 - [c23]Yi Chen, Zhong Jin:
Feature extraction using class-oriented regression embedding. ACPR 2011: 520-524 - [c22]Shenglan Ben, Zhong Jin, Jingyu Yang:
Guided fuzzy clustering with multi-prototypes. IJCNN 2011: 2430-2436 - 2010
- [j18]Zhong Jin, Yuqing Wang:
A type of efficient feasible SQP algorithms for inequality constrained optimization. Appl. Math. Comput. 215(10): 3589-3598 (2010) - [j17]Mingming Sun, Chuancai Liu, Jian Yang, Zhong Jin, Jingyu Yang:
A two-step framework for highly nonlinear data unfolding. Neurocomputing 73(10-12): 1801-1807 (2010) - [j16]Zhong Jin, Yuqing Wang:
A simple feasible SQP method for inequality constrained optimization with global and superlinear convergence. J. Comput. Appl. Math. 233(11): 3060-3073 (2010) - [j15]Jun Yin, Zhong Jin, Jingbo Zhou:
Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition. J. Digit. Content Technol. its Appl. 4(9): 242-251 (2010) - [j14]Gui-Fu Lu, Zhong Lin, Zhong Jin:
Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recognit. 43(10): 3572-3579 (2010) - [c21]Qizhi Duan, Zhong Jin, Qian Liu, Xuebin Chi:
An Integrated and Grid Based Solution of Chemical Applications. ICICA (2) 2010: 40-47 - [c20]Cairong Zhao, Zhihui Lai, Yue Sui, Chuancai Liu, Zhong Jin:
Fuzzy maximal marginal embedding and its application. ICIP 2010: 2709-2712 - [c19]Zhihui Lai, Zhong Jin, Wai Keung Wong:
Tangent space discriminant analysis for feature extraction. ICIP 2010: 3793-3796 - [c18]Jun Yin, Zhong Jin:
A modified NLDA algorithm. ICIP 2010: 4513-4516 - [c17]Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin:
Face recognition based on the quotient image method and sparse representation. ICNC 2010: 967-971 - [c16]Zhonghua Liu, Jingbo Zhou, Zhong Jin:
Face Recognition Based on Illumination Adaptive LDA. ICPR 2010: 894-897 - [c15]Zhihui Lai, Zhong Jin, Jian Yang, Wai Keung Wong:
Sparse Local Discriminant Projections for Feature Extraction. ICPR 2010: 926-929 - [c14]Minghua Wan, Zhihui Lai, Zhong Jin:
Feature Extraction Based on Class Mean Embedding (CME). ICPR 2010: 4174-4177 - [c13]Yingnan Zhao, Yan Ma, Zhong Jin:
Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions. IIH-MSP 2010: 555-558
2000 – 2009
- 2009
- [j13]Minghua Wan, Zhihui Lai, Jie Shao, Zhong Jin:
Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics. Neurocomputing 73(1-3): 197-203 (2009) - [r1]Jian Yang, Zhong Jin, Jingyu Yang:
Non-linear Techniques for Dimension Reduction. Encyclopedia of Biometrics 2009: 1003-1007 - 2008
- [j12]Yanhua Sun, Bin Shen, Zhonghua Lu, Zhong Jin, Xuebin Chi:
GridMol: a grid application for molecular modeling and visualization. J. Comput. Aided Mol. Des. 22(2): 119-129 (2008) - [c12]Jian Yang, Zhen Lou, Zhong Jin, Jing-Yu Yang:
Minimal local reconstruction error measure based discriminant feature extraction and classification. CVPR 2008 - [c11]Zhen Lou, Zhong Jin:
Integrated probability function on local mean distance for image recognition. ICPR 2008: 1-4 - 2007
- [j11]Zhong Jin, Zhen Lou, Jing-Yu Yang, Quan-Sen Sun:
Face detection using template matching and skin-color information. Neurocomputing 70(4-6): 794-800 (2007) - 2006
- [j10]Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang:
A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognit. 39(6): 1026-1033 (2006) - [c10]Zhong Jin, Franck Davoine, Zhen Lou, Jing-Yu Yang:
A Novel PCA-Based Bayes Classifier and Face Analysis. ICB 2006: 144-150 - [c9]Quan-Sen Sun, Zhong Jin, Pheng-Ann Heng, De-Shen Xia:
An Indirect and Efficient Approach for Solving Uncorrelated Optimal Discriminant Vectors. ICIC (2) 2006: 1204-1209 - [c8]Zhen Lou, Zhong Jin:
Novel Adaptive Nearest Neighbor Classifiers Based On Hit-Distance. ICPR (3) 2006: 87-90 - [c7]Jian Yang, David Zhang, Zhong Jin, Jing-Yu Yang:
Unsupervised Discriminant Projection Analysis for Feature Extraction. ICPR (1) 2006: 904-907 - 2005
- [j9]Jian Yang, Alejandro F. Frangi, Jing-Yu Yang, David Zhang, Zhong Jin:
KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(2): 230-244 (2005) - [c6]Quan-Sen Sun, Zhong Jin, Pheng-Ann Heng, De-Shen Xia:
A Novel Feature Fusion Method Based on Partial Least Squares Regression. ICAPR (1) 2005: 268-277 - [c5]Quan-Sen Sun, Pheng-Ann Heng, Zhong Jin, De-Shen Xia:
Face Recognition Based on Generalized Canonical Correlation Analysis. ICIC (2) 2005: 958-967 - 2004
- [j8]Yong Xu, Jing-Yu Yang, Zhong Jin:
A novel method for Fisher discriminant analysis. Pattern Recognit. 37(2): 381-384 (2004) - [j7]Jian Yang, Zhong Jin, Jing-Yu Yang, David Zhang, Alejandro F. Frangi:
Essence of kernel Fisher discriminant: KPCA plus LDA. Pattern Recognit. 37(10): 2097-2100 (2004) - [c4]Zhong Jin, Franck Davoine:
Orthogonal ICA representation of images. ICARCV 2004: 369-374 - [c3]Zhong Jin, Franck Davoine, Zhen Lou:
An Effective EM Algorithm for PCA Mixture Model. SSPR/SPR 2004: 626-634 - 2003
- [j6]Xiao-Yuan Jing, David Zhang, Zhong Jin:
Improvements on the uncorrelated optimal discriminant vectors. Pattern Recognit. 36(8): 1921-1923 (2003) - [j5]Irwin King, Zhong Jin:
Integrated probability function and its application to content-based image retrieval by relevance feedback. Pattern Recognit. 36(9): 2177-2186 (2003) - [j4]Xiao-Yuan Jing, David Zhang, Zhong Jin:
UODV: improved algorithm and generalized theory. Pattern Recognit. 36(11): 2593-2602 (2003) - [j3]Yong Xu, Jing-Yu Yang, Zhong Jin:
Theory analysis on FSLDA and ULDA. Pattern Recognit. 36(12): 3031-3033 (2003) - 2001
- [j2]Zhong Jin, Jing-Yu Yang, Zhong-Shan Hu, Zhen Lou:
Face recognition based on the uncorrelated discriminant transformation. Pattern Recognit. 34(7): 1405-1416 (2001) - [j1]Zhong Jin, Jing-Yu Yang, Zhenmin Tang, Zhong-Shan Hu:
A theorem on the uncorrelated optimal discriminant vectors. Pattern Recognit. 34(10): 2041-2047 (2001) - 2000
- [c2]Zhong Jin, Irwin King, Xuequn Li:
Content-Based Image Retrieval by Relevance Feedback. VISUAL 2000: 521-529 - [c1]Irwin King, Zhong Jin, David Yuk-Ming Chan:
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function. VISUAL 2000: 530-539
Coauthor Index
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