The publication list is categorised according to the research topics. You can also refer to google scholar.

[11] F Shokrollahi Yancheshmeh, **K Chen**, JK Kämäräinen, Unsupervised Visual Alignment with Similarity Graphs,
* Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, * 2015.

[10] E Riabchenko, **K Chen**, JK Kämäräinen, Progressive Visual Object Detection with Positive Training Examples Only,
* Proceedings of Scandinavian Conference on Image Analysis, * 2015.

[9] H. Huttunen, **K Chen**, A. Thakur, A. Krohn-Grimberghe, O. Gencoglu, X. Ni, M. Al-Musawi, L. Xu, H. Jacob van Veen, Computer Vision for Head Pose Estimation: Review of a Competition,
* Proceedings of Scandinavian Conference on Image Analysis, * 2015.

[8] F Shokrollahi Yancheshmeh, JK Kämäräinen, **K Chen**, Discovering Multi-Relational Latent Attributes by Visual Similarity Networks,
* Proceedings of Asian Conference on Computer Vision Workshop on Feature and Similarity, * 2014.

[7] E Riabchenko, JK Kämäräinen, **K Chen**, Learning Generative Models of Object Parts from A Few Positive Examples,
* Proceedings of International Conference on Pattern Recognition, * pp. 2287-2292, 2014.

[6] E Riabchenko, JK Kämäräinen, **K Chen**, Density-Aware Part-Based Object Detection with Positive Examples,
* Proceedings of International Conference on Pattern Recognition, * pp. 2814-2819 , 2014.

[5] **K Chen**, JK Kämäräinen, Learning to Count with Back-Propagated Information,
* Proceedings of International Conference on Pattern Recognition, * pp. 4672-4677, 2014.

[4] **K Chen**, S Gong, T Xiang, CC Loy, Cumulative Attribute Space for Age and Crowd Density Estimation,
* Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, * pp. 2467-2474, 2013. (Oral)
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slides
poster
project page

[2] **K Chen**, CC Loy, S Gong, T Xiang, Feature Mining for Localised Crowd Counting,
* Proceedings of British Machine Vision Conference, * pp. 21.1-21.11, 2012.
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poster
project page

[1] **K Chen**, S Gong, T Xiang, Human Pose Estimation Using Structural Support Vector Machines,
* Proceedings of IEEE International Conference on Computer Vision, Workshop on Socially Intelligent Surveillance and Monitoring, * pp. 846-851, 2011.
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[28] Y Zhang, Z Xiao, **K Chen**, M Mao, X Liu, Analysis of G-Type Model Exploited for Online ZLE Solving,
* Proceedings of The 26th Chinese Control and Decision Conference, * pp. 166–171, 2014.

[27] **K Chen**, Recurrent Implicit Dynamics for Online Matrix Inversion,
* Applied Mathematics and Computation, * vol. 219, no. 20, pp. 10218–10224, 2013.
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[26] **K Chen**, Implicit Dynamic System for Online Simultaneous Linear Equations Solving,
* Electronics Letters, * vol. 49, no. 2, pp. 101-102, 2013.
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[25] **K Chen**, Robustness Analysis of Wang Neural Network for Online Linear Equation Solving,
* Electronics Letters, * vol. 48, no. 22, pp. 1931-1932, 2012.
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[24] Y Zhang, D Guo, B Cai, **K Chen**, Remedy Scheme and Theoretical Analysis of Joint-Angle Drift Phenomenon for Redundant Robot Manipulators,
* Robotics and Computer-Integrated Manufacturing, * vol. 27, no. 4, pp. 860-869, 2011.
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[23] Y Zhang, **K Chen**, HZ Tan, Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion,
* IEEE Transactions on Automatic Control, * vol. 54, no. 8, pp. 1940-1945, 2009.
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[22] Y Zhang, Z Chen, **K Chen**, Convergence Properties Analysis of Gradient Neural Network for Solving Online Linear Equations,
* Acta Automatica Sinica, * vol. 35, no. 8, pp. 1136-1139, 2009.
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[21] Y Zhang, Y Shi, **K Chen**, C Wang, Global Exponential Convergence and Stability of Gradient-Based Neural Network for Online Matrix Inversion,
* Applied Mathematics and Computation, * vol. 215, no. 3, pp. 1301-1306, 2009.
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[20] Y Zhang, Z Tan, **K Chen**, Z Yang, X 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 and Autonomous Systems, * vol. 57, no. 6, pp. 645-651, 2009.
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[19] Y Zhang, W Ma, XD Li, HZ Tan, **K Chen**, MATLAB Simulink Modeling and Simulation of LVI-based Primal–Dual Neural Network for Solving Linear and Quadratic Programs,
* Neurocomputing, * vol. 72, no. 7, pp. 1679-1687, 2009.
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[18] N Tan, **K Chen**, Y Shi, Y Zhang, Modeling, Verification and Comparison of Zhang Neural Net and Gradient Neural Net for Online Solution of Time-Varying Linear Matrix Equation,
* Proceedings of IEEE Conference on Industrial Electronics and Applications, * pp. 3698-3703, 2009.
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[17] **K Chen**, D Guo, Z Tan, Z Yang, Y Zhang, Cyclic Motion Planning of Redundant Robot Arms: Simple Extension of Performance Index May Not Work,
* Proceedings of International Symposium on Intelligent Information Technology Application, * pp. 635-639, 2008.
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[16] **K Chen**, L Zhang, Y Zhang, Cyclic Motion Generation of Multi-Link Planar Robot Performing Square End-Effector Trajectory Analyzed via Gradient-Descent and Zhang et al’s Neural-Dynamic Methods,
* Proceedings of International Symposium on Systems and Control in Aerospace and Astronautics, * pp. 1-6, 2008.
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[15] Y Zhang, X Lv, Z Li, Z Yang, **K Chen**, Repetitive Motion Planning of PA10 Robot Arm Subject to Joint Physical Limits and Using LVI-Based Primal–Dual Neural Network,
* Mechatronics, * vol. 18, no. 9, pp. 475-485, 2008.
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[14] Y Zhang, **K Chen**, X Li, C Yi, H Zhu, Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving,
* Proceedings of International Conference on Natural Computation, * pp. 521-525, 2008.
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[13] Y Zhang, Z Tan, Z Yang, X Lv, **K Chen**, A Simplified LVI-Based Primal-Dual Neural Network for Repetitive Motion Planning of PA10 Robot Manipulator Starting from Different Initial States,
* Proceedings of IEEE International Joint Conference on Neural Networks, * pp. 19-24, 2008.
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[12] Y Zhang, Z Chen, **K Chen**, B Cai, Zhang Neural Network Without Using Time-Derivative Information for Constant and Time-Varying Matrix Inversion,
* Proceedings of IEEE International Joint Conference on Neural Networks, * pp. 142-146, 2008.
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[11] Y Zhang, W Li, C Yi, **K Chen**, A Weights-Directly-Determined Simple Neural Network for Nonlinear System Identification,
* Proceedings of IEEE International Conference on Fuzzy Systems, * pp. 455-460, 2008.
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[10] Y Zhang, **K Chen**, Comparison on Zhang Neural Network and Gradient Neural Network for Time-Varying Linear Matrix Equation AXB= C Solving,
* Proceedings of IEEE International Conference on Industrial Technology, * pp. 1-6, 2008. (Student Scholarship Awarded by IEEE Industrial Technology Society)
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[9] Y Zhang, X Guo, W Ma, **K Chen**, B Cai, MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion,
* Proceedings of IEEE International Conference on Networking, Sensing and Control, * pp. 1480-1485, 2008.
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[8] Y Zhang, Z Li, **K Chen**, B Cai, Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations,
* Proceedings of IEEE International Conference on Networking, Sensing and Control, * pp. 832-836, 2008.
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[7] Y Zhang, **K Chen**, Global Exponential Convergence and Stability of Wang Neural Network for Solving Online Linear Equations,
* Electronics Letters, * vol. 44, no. 2, pp. 145-146, 2008.
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[6] **K Chen**, S Yue, Y 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,
* Proceedings of International Conference on Intelligent Computing, * pp. 68-75, 2008.
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[5] Y Zhang, Z Li, C Yi, **K Chen**, Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization,
* International Conference on Intelligent Computing, * pp. 807-814, 2008.
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[4] Y Zhang, S Yue, **K Chen**, C Yi, MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving,
* Proceedings of International Symposium on Neural Networks, * pp. 117-127, 2008.
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[3] Y Zhang, **K Chen**, W Ma, XD Li, MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion,
* Proceedings of International Conference on Intelligent Computing, * pp. 98-109, 2007.
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[2] Y Zhang, W Ma **K Chen**, P Li, MATLAB Simulation of Zhang Neural Networks for Time-Varying Sylvester Equation Solving,
* Proceedings of International Conference on Information Computing and Automation, * pp. 392-395, 2007.
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[1] Y Zhang, **K Chen**, W Ma, MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network of Online Solution of Linear Time-Varying Equations,
* Proceedings of International Conference on Life System Modeling and Simulation, * pp. 450-454, 2007.
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[C5] 张雨浓, 史艳燕, 蔡炳煌, 张禹珩, **陈轲**, 梯度神经网络解线性矩阵方程之收敛性分析,
* 控制工程, * vol. 19, no. 2, pp. 235-239, 2012.
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[C4] 张雨浓, 杨逸文, **陈轲**, 蔡炳煌, 梯度神经网络求解Sylvester方程之MATLAB仿真,
* 系统仿真学报, * vol. 21, no. 13, pp. 4028-4031, 2009.
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[C3] 张雨浓, **陈轲**, 过晓娇, 指导本科生从事科学研究的尝试,经验与探讨,
* 科技成果管理与研究, * no. 6, pp. 19-22, 2009.
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[C2] 张雨浓, 张禹珩, **陈轲**, 蔡炳煌, 马伟木, 线性矩阵方程的梯度法神经网络求解及其仿真验证,
* 中山大学学报: 自然科学版, * vol. 47, no. 3, pp. 26-32, 2008.
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[C1] 张雨浓, 李巍, 刘巍, 谭满春, **陈轲**, 幂激励前向神经网络的权值直接确定法,
* 全国模式识别学术会议, * pp. 72-77, 2007.
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