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ORCIDKe Chen 0004
Person information
- affiliation: South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- affiliation: Tampere University of Technology, Finland
- affiliation (PhD 2013): Queen Mary University of London, UK
- affiliation (former): Sun Yat-Sen University, Guangzhou, China
Other persons with the same name
- Ke Chen — disambiguation page
- Ke Chen 0001
![[0000-0001-9457-9364]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9457-9364")
— University of Manchester, Department of Computer Science, Manchester, UK (and 1 more) - Ke Chen 0002 — University of Liverpool, UK
- Ke Chen 0003 — Tiangong University, formerly Tianjin Polytechnic University, School of Computer Science and Software Engineering, China (and 1 more)
- Ke Chen 0005 — Zhejiang University, Database Laboratory, China (and 1 more)
- Ke Chen 0006 — Google (and 1 more)
- Ke Chen 0007 — University Perpignan
- Ke Chen 0008 — Xihua University, School of Computer and Software Engineering, Chengdu, China
- Ke Chen 0009 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Ke Chen 0011 — Penn State University, PA, USA (and 1 more)
- Ke Chen 0012 — Huazhong University of Science and Technology, Department of Construction Management, Wuhan, China (and 1 more)
- Ke Chen 0013 — Huazhong University of Science and Technology, Tongji Medical College, Wuhan, China (and 1 more)
- Ke Chen 0014 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Science and Technology on Multi-Spectral Information Processing Laboratory, Wuhan, China
- Ke Chen 0015 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- Ke Chen 0016 — Dalian University of Technology, School of Optoelectronic Engineering and Instrumentation Science, Dalian, China
- Ke Chen 0017 — Beijing University of Chemical Technology, College of Mechanical and Electrical Engineering, Beijing, China
- Ke Chen 0018 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Ke Chen 0019 — University of Hong Kong, Sau Po Centre on Ageing, Hong Kong (and 2 more)
- Ke Chen 0020 — University of Notre Dame, IN, USA
- Ke Chen 0021 — University of California San Diego, Music Department, CREL, San Diego, CA, USA (and 1 more)
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2020 – today
- 2025
[j33]Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang:
Improving deep representation learning via auxiliary learnable target coding. Pattern Recognit. 157: 110938 (2025)- 2024
- [c47]Jingyu Xiang, Xuanxiang Lin, Ke Chen, Kui Jia:
Adversarial Geometric Transformations of Point Clouds for Physical Attack. CVM (1) 2024: 129-151 - [i29]Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang:
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR abs/2407.18534 (2024) - 2023
- [j32]Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia:
Classification of single-view object point clouds. Pattern Recognit. 135: 109137 (2023) - [c46]Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu:
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI 2023: 6602-6611 - [c45]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI 2023: 1740-1748 - [i28]Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia:
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR abs/2305.10808 (2023) - [i27]Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia:
Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR abs/2305.18680 (2023) - [i26]Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia:
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR abs/2305.18684 (2023) - 2022
- [j31]Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia:
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2984-2999 (2022) - [j30]Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6517-6533 (2022) - [j29]Dingyuan Zheng, Jimin Xiao, Ke Chen, Xiaowei Huang, Lin Chen, Yao Zhao:
Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification. Pattern Recognit. 127: 108615 (2022) - [j28]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Trans. Cybern. 52(6): 4949-4959 (2022) - [j27]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. IEEE Trans. Image Process. 31: 5570-5584 (2022) - [j26]Shu Yang, Yaowei Wang, Ke Chen, Wei Zeng, Zesong Fei:
Attribute-Aware Feature Encoding for Object Recognition and Segmentation. IEEE Trans. Multim. 24: 3611-3623 (2022) - [c44]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR 2022: 7389-7398 - [c43]Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. ECCV (33) 2022: 728-745 - [c42]Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia:
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. IJCAI 2022: 1509-1515 - [c41]Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang:
Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. KDD 2022: 4482-4492 - [i25]Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. CoRR abs/2203.03833 (2022) - [i24]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR abs/2203.15987 (2022) - [i23]Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia:
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. CoRR abs/2205.03536 (2022) - [i22]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. CoRR abs/2208.01997 (2022) - 2021
- [j25]Lin Wei, Long Jin, Chenguang Yang, Ke Chen, Weibing Li:
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2611-2623 (2021) - [c40]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CVPR 2021: 1778-1787 - [c39]Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. ICCV 2021: 6383-6392 - [c38]Xuanxiang Lin, Ke Chen, Kui Jia:
Object Point Cloud Classification via Poly-Convolutional Architecture Search. ACM Multimedia 2021: 807-815 - [c37]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS 2021: 16779-16790 - [i21]Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia:
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR abs/2101.06931 (2021) - [i20]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CoRR abs/2103.16397 (2021) - [i19]Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. CoRR abs/2108.09169 (2021) - [i18]Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR abs/2111.07383 (2021) - 2020
- [j24]Zhiguo Tan, Yueming Hu, Ke Chen:
On the investigation of activation functions in gradient neural network for online solving linear matrix equation. Neurocomputing 413: 185-192 (2020) - [c36]Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. AAAI 2020: 12725-12732 - [c35]Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CVPR 2020: 8722-8732 - [c34]Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia 2020: 156-164 - [i17]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. CoRR abs/2001.04803 (2020) - [i16]Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CoRR abs/2003.08607 (2020) - [i15]Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR abs/2005.06047 (2020) - [i14]Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia:
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR abs/2009.04660 (2020) - [i13]Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering. CoRR abs/2012.04280 (2020) - [i12]Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia:
3D Object Classification on Partial Point Clouds: A Practical Perspective. CoRR abs/2012.10042 (2020)
2010 – 2019
- 2019
- [j23]Zhiguo Tan, Yueming Hu, Lin Xiao, Ke Chen:
Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. IEEE Access 7: 33434-33440 (2019) - [j22]Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li:
Nonlinear gradient neural network for solving system of linear equations. Inf. Process. Lett. 142: 35-40 (2019) - [j21]Lin Xiao, Yongsheng Zhang, Jianhua Dai, Ke Chen, Song Yang, Weibing Li, Bolin Liao, Lei Ding, Jichun Li:
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. Neural Networks 117: 124-134 (2019) - [j20]Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen:
Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. 87: 29-37 (2019) - [j19]Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen:
Convolutional low-resolution fine-grained classification. Pattern Recognit. Lett. 119: 166-171 (2019) - [j18]Heikki Huttunen, Ke Chen, Zhaoxiang Zhang:
Guest Editorial: Special Issue on Machine Learning Implementations. J. Signal Process. Syst. 91(2): 115-116 (2019) - [c33]Longchuan Niu, Ke Chen, Kui Jia, Jouni Mattila:
Efficient 3D Visual Perception for Robotic Rock Breaking. CASE 2019: 1124-1130 - [c32]Kaiqi Wang, Ke Chen, Kui Jia:
Deep Cascade Generation on Point Sets. IJCAI 2019: 3726-3732 - [c31]Yanlin Qian, Ke Chen, Huanglin Yu:
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. ISPA 2019: 352-354 - [i11]Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen:
ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. CoRR abs/1903.10412 (2019) - [i10]Yanlin Qian, Ke Chen, Huanglin Yu:
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. CoRR abs/1908.02076 (2019) - [i9]Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia:
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR abs/1912.11171 (2019) - [i8]Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. CoRR abs/1912.11180 (2019) - [i7]Zelin Xu, Ke Chen, Kui Jia:
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. CoRR abs/1912.11888 (2019) - 2018
- [j17]Ke Chen, Zhaoxiang Zhang:
A Primal Neural Network for Online Equality-Constrained Quadratic Programming. Cogn. Comput. 10(2): 381-388 (2018) - [j16]Lin Xiao, Bolin Liao, Shuai Li, Ke Chen:
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations. Neural Networks 98: 102-113 (2018) - [j15]Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj:
Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. 48(9): 2542-2555 (2018) - [j14]Dan Yang, Yanlin Qian, Ke Chen, Eleni Berki, Joni-Kristian Kamarainen:
Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation. IEEE Trans. Intell. Transp. Syst. 19(6): 2035-2042 (2018) - [c30]Zhijun Zhang, Shi Mao, Ke Chen, Lin Xiao, Bolin Liao, Chunquan Li, Penzchao Zhang:
CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking. ROBIO 2018: 1280-1286 - [c29]Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kämäräinen:
Hierarchical Deformable Part Models for Heads and Tails. VISIGRAPP (5: VISAPP) 2018: 45-55 - [i6]Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas:
Dichromatic Gray Pixel for Camera-agnostic Color Constancy. CoRR abs/1803.08326 (2018) - 2017
- [j13]Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen:
Spectral attribute learning for visual regression. Pattern Recognit. 66: 74-81 (2017) - [j12]Ke Chen, Zhaoxiang Zhang:
Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. IEEE Trans. Big Data 3(1): 37-43 (2017) - [j11]Ke Chen, Jeffrey A. Tuhtan, Juan Francisco Fuentes-Perez, Gert Toming, Mark Musall, Nataliya Strokina, Joni-Kristian Kamarainen, Maarja Kruusmaa:
Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression. IEEE Trans. Instrum. Meas. 66(4): 651-660 (2017) - [j10]Ke Chen, Zhaoxiang Zhang:
Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 639-647 (2017) - [c28]Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas:
Recurrent Color Constancy. ICCV 2017: 5459-5467 - [c27]Huiling Wang, Tinghuai Wang, Ke Chen, Joni-Kristian Kämäräinen:
Cross-Granularity Graph Inference for Semantic Video Object Segmentation. IJCAI 2017: 4544-4550 - [i5]Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen:
Convolutional Low-Resolution Fine-Grained Classification. CoRR abs/1703.05393 (2017) - [i4]Ke Chen:
Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving. CoRR abs/1703.05955 (2017) - 2016
- [j9]Ke Chen, Chenfu Yi:
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion. Appl. Math. Comput. 273: 969-975 (2016) - [j8]Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen:
A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing 218: 72-78 (2016) - [j7]Ke Chen:
Improved neural dynamics for online Sylvester equations solving. Inf. Process. Lett. 116(7): 455-459 (2016) - [j6]Ke Chen, Joni-Kristian Kamarainen:
Pedestrian Density Analysis in Public Scenes With Spatiotemporal Tensor Features. IEEE Trans. Intell. Transp. Syst. 17(7): 1968-1977 (2016) - [c26]Ke Chen, Joni-Kristian Kämäräinen:
Learning with Ambiguous Label Distribution for Apparent Age Estimation. ACCV (3) 2016: 330-343 - [c25]Ke Chen, Zhaoxiang Zhang:
An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming. BICS 2016: 1-10 - [c24]Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
Deep structured-output regression learning for computational color constancy. ICPR 2016: 1899-1904 - [c23]Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen:
Car type recognition with Deep Neural Networks. Intelligent Vehicles Symposium 2016: 1115-1120 - [c22]Ke Chen, Joni-Kristian Kämäräinen, Zhaoxiang Zhang:
Facial Age Estimation Using Robust Label Distribution. ACM Multimedia 2016: 77-81 - [i3]Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen:
Car Type Recognition with Deep Neural Networks. CoRR abs/1602.07125 (2016) - [i2]Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj:
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR abs/1605.09696 (2016) - [i1]Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
Deep Structured-Output Regression Learning for Computational Color Constancy. CoRR abs/1607.03856 (2016) - 2015
- [c21]Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kamarainen:
Unsupervised visual alignment with similarity graphs. CVPR 2015: 2901-2908 - [c20]Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen:
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA 2015: 65-75 - [c19]Ekaterina Riabchenko, Ke Chen, Joni-Kristian Kämäräinen:
Progressive Visual Object Detection with Positive Training Examples Only. SCIA 2015: 388-399 - 2014
- [c18]Fatemeh Shokrollahi Yancheshmeh, Joni-Kristian Kämäräinen, Ke Chen:
Discovering Multi-relational Latent Attributes by Visual Similarity Networks. ACCV Workshops (3) 2014: 3-14 - [c17]Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen:
Learning Generative Models of Object Parts from a Few Positive Examples. ICPR 2014: 2287-2292 - [c16]Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen:
Density-Aware Part-Based Object Detection with Positive Examples. ICPR 2014: 2814-2819 - [c15]Ke Chen, Joni-Kristian Kamarainen:
Learning to Count with Back-propagated Information. ICPR 2014: 4672-4677 - 2013
- [b1]Ke Chen:
Latent dependency mining for solving regression problems in computer vision. Queen Mary University of London, UK, 2013 - [j5]Ke Chen:
Recurrent implicit dynamics for online matrix inversion. Appl. Math. Comput. 219(20): 10218-10224 (2013) - [c14]Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy:
Cumulative Attribute Space for Age and Crowd Density Estimation. CVPR 2013: 2467-2474 - [c13]Yunong Zhang, Zhen Li, Dongsheng Guo, Ke Chen, Pei Chen:
Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving. ICMLC 2013: 759-764 - [p1]Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang:
Crowd Counting and Profiling: Methodology and Evaluation. Modeling, Simulation and Visual Analysis of Crowds 2013: 347-382 - 2012
- [c12]Ke Chen, Chen Change Loy, Shaogang Gong, Tony Xiang:
Feature Mining for Localised Crowd Counting. BMVC 2012: 1-11 - 2011
- [c11]Ke Chen, Shaogang Gong, Tao Xiang:
Human pose estimation using structural support vector machines. ICCV Workshops 2011: 846-851
2000 – 2009
- 2009
- [j4]Yunong Zhang, Yanyan Shi, Ke Chen, Chaoli Wang:
Global exponential convergence and stability of gradient-based neural network for online matrix inversion. Appl. Math. Comput. 215(3): 1301-1306 (2009) - [j3]Yunong Zhang, Weimu Ma, Xiaodong Li, Hongzhou Tan, Ke Chen:
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. Neurocomputing 72(7-9): 1679-1687 (2009) - [j2]Yunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv:
Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator's straight-line example. Robotics Auton. Syst. 57(6-7): 645-651 (2009) - [j1]Yunong Zhang, Ke Chen, Hongzhou Tan:
Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion. IEEE Trans. Autom. Control. 54(8): 1940-1945 (2009) - 2008
- [c10]Yunong Zhang, Wei Li, Chenfu Yi, Ke Chen:
A weights-directly-determined simple neural network for nonlinear system identification. FUZZ-IEEE 2008: 455-460 - [c9]Ke Chen, Shuai Yue, Yunong Zhang:
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0. ICIC (2) 2008: 68-75 - [c8]Yunong Zhang, Zhan Li, Chenfu Yi, Ke Chen:
Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization. ICIC (2) 2008: 807-814 - [c7]Yunong Zhang, Ke Chen, Xuezhong Li, Chengfu Yi, Hong Zhu:
Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving. ICNC (3) 2008: 521-525 - [c6]Yunong Zhang, Zhan Li, Ke Chen, Binghuang Cai:
Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. ICNSC 2008: 832-836 - [c5]Yunong Zhang, Xiaojiao Guo, Weimu Ma, Ke Chen, Binghuang Cai:
MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. ICNSC 2008: 1480-1485 - [c4]Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen:
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. IJCNN 2008: 19-24 - [c3]Yunong Zhang, Zenghai Chen, Ke Chen, Binghuang Cai:
Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. IJCNN 2008: 142-146 - [c2]Yunong Zhang, Shuai Yue, Ke Chen, Chenfu Yi:
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving. ISNN (1) 2008: 117-127 - 2007
- [c1]Yunong Zhang, Ke Chen, Weimu Ma, Xiaodong Li:
MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. ICIC (2) 2007: 98-109
Coauthor Index
Joni-Kristian Kämäräinen
aka: Joni-Kristian Kamarainen
aka: Joni-Kristian Kamarainen
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