MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. - Yunong Zhang; Ke Chen 004; Weimu Ma; Xiaodong Li 011 (ICIC (2), 2007)

A weights-directly-determined simple neural network for nonlinear system identification. - Yunong Zhang; Wei Li; Chenfu Yi; Ke Chen 004 (FUZZ-IEEE, 2008)

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0. - Ke Chen 004; Shuai Yue; Yunong Zhang (ICIC (2), 2008)

Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization. - Yunong Zhang; Zhan Li; Chenfu Yi; Ke Chen 004 (ICIC (2), 2008)

Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving. - Yunong Zhang; Ke Chen 004; Xuezhong Li; Chengfu Yi; Hong Zhu (ICNC (3), 2008)

MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. - Yunong Zhang; Xiaojiao Guo; Weimu Ma; Ke Chen 004; Binghuang Cai (ICNSC, 2008)

Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. - Yunong Zhang; Zhan Li; Ke Chen 004; Binghuang Cai (ICNSC, 2008)

Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. - Yunong Zhang; Zenghai Chen; Ke Chen 004; Binghuang Cai (IJCNN, 2008)

A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. - Yunong Zhang; Zhiguo Tan; Zhi Yang 004; Xuanjiao Lv; Ke Chen 004 (IJCNN, 2008)

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving. - Yunong Zhang; Shuai Yue; Ke Chen 004; Chenfu Yi (ISNN (1), 2008)

Global exponential convergence and stability of gradient-based neural network for online matrix inversion. - Yunong Zhang; Yanyan Shi; Ke Chen 004; Chaoli Wang 002 (Appl. Math. Comput., 2009)

MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. - Yunong Zhang; Weimu Ma; Xiaodong Li 011; Hongzhou Tan; Ke Chen 004 (Neurocomputing, 2009)

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. - Yunong Zhang; Zhiguo Tan; Ke Chen 004; Zhi Yang 004; Xuanjiao Lv (Robotics Auton. Syst., 2009)

Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion. - Yunong Zhang; Ke Chen 004; Hongzhou Tan (IEEE Trans. Autom. Control., 2009)

Human pose estimation using structural support vector machines. - Ke Chen 004; Shaogang Gong; Tao Xiang 002 (ICCV Workshops, 2011)

Feature Mining for Localised Crowd Counting. - Ke Chen 004; Chen Change Loy; Shaogang Gong; Tony Xiang (BMVC, 2012)

Crowd Counting and Profiling: Methodology and Evaluation. - Chen Change Loy; Ke Chen 004; Shaogang Gong; Tao Xiang 002 (Modeling, Simulation and Visual Analysis of Crowds, 2013)

Cumulative Attribute Space for Age and Crowd Density Estimation. - Ke Chen 004; Shaogang Gong; Tao Xiang 002; Chen Change Loy (CVPR, 2013)

Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving. - Yunong Zhang; Zhen Li; Dongsheng Guo 001; Ke Chen 004; Pei Chen 001 (ICMLC, 2013)

Recurrent implicit dynamics for online matrix inversion. - Ke Chen 004 (Appl. Math. Comput., 2013)

Latent dependency mining for solving regression problems in computer vision. - Ke Chen 004 (2013)

Discovering Multi-relational Latent Attributes by Visual Similarity Networks. - Fatemeh Shokrollahi Yancheshmeh; Joni-Kristian Kämäräinen; Ke Chen 004 (ACCV Workshops (3), 2014)

Learning to Count with Back-propagated Information. - Ke Chen 004; Joni-Kristian Kamarainen (ICPR, 2014)

Learning Generative Models of Object Parts from a Few Positive Examples. - Ekaterina Riabchenko; Joni-Kristian Kämäräinen; Ke Chen 004 (ICPR, 2014)

Density-Aware Part-Based Object Detection with Positive Examples. - Ekaterina Riabchenko; Joni-Kristian Kämäräinen; Ke Chen 004 (ICPR, 2014)

Unsupervised visual alignment with similarity graphs. - Fatemeh Shokrollahi Yancheshmeh; Ke Chen 004; Joni-Kristian Kamarainen (CVPR, 2015)

Computer Vision for Head Pose Estimation: Review of a Competition. - Heikki Huttunen; Ke Chen 004; Abhishek Thakur; Artus Krohn-Grimberghe; Oguzhan Gencoglu; Xingyang Ni; Mohammed Al-Musawi; Lei Xu 036; Hendrik Jacob van Veen (SCIA, 2015)

Progressive Visual Object Detection with Positive Training Examples Only. - Ekaterina Riabchenko; Ke Chen 004; Joni-Kristian Kämäräinen (SCIA, 2015)

Learning with Ambiguous Label Distribution for Apparent Age Estimation. - Ke Chen 004; Joni-Kristian Kämäräinen (ACCV (3), 2016)

An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming. - Ke Chen 004; Zhaoxiang Zhang 001 (BICS, 2016)

Deep structured-output regression learning for computational color constancy. - Yanlin Qian; Ke Chen 004; Joni-Kristian Kamarainen; Jarno Nikkanen; Jiri Matas (ICPR, 2016)

Car type recognition with Deep Neural Networks. - Heikki Huttunen; Fatemeh Shokrollahi Yancheshmeh; Ke Chen 004 (Intelligent Vehicles Symposium, 2016)

Facial Age Estimation Using Robust Label Distribution. - Ke Chen 004; Joni-Kristian Kämäräinen; Zhaoxiang Zhang 001 (ACM Multimedia, 2016)

Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion. - Ke Chen 004; Chenfu Yi (Appl. Math. Comput., 2016)

A parameter-free label propagation algorithm for person identification in stereo videos. - Chongsheng Zhang; Jingjun Bi; Changchang Liu; Ke Chen 004 (Neurocomputing, 2016)

Improved neural dynamics for online Sylvester equations solving. - Ke Chen 004 (Inf. Process. Lett., 2016)

Pedestrian Density Analysis in Public Scenes With Spatiotemporal Tensor Features. - Ke Chen 004; Joni-Kristian Kamarainen (IEEE Trans. Intell. Transp. Syst., 2016)

Recurrent Color Constancy. - Yanlin Qian; Ke Chen 004; Jarno Nikkanen; Joni-Kristian Kamarainen; Jiri Matas (ICCV, 2017)

Cross-Granularity Graph Inference for Semantic Video Object Segmentation. - Huiling Wang; Tinghuai Wang; Ke Chen 004; Joni-Kristian Kämäräinen (IJCAI, 2017)

Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving. - Ke Chen 004 (CoRR, 2017)

Spectral attribute learning for visual regression. - Ke Chen 004; Kui Jia; Zhaoxiang Zhang 001; Joni-Kristian Kämäräinen (Pattern Recognit., 2017)

Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. - Ke Chen 004; Zhaoxiang Zhang 001 (IEEE Trans. Big Data, 2017)

Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression. - Ke Chen 004; Jeffrey A. Tuhtan; Juan Francisco Fuentes-Perez; Gert Toming; Mark Musall; Nataliya Strokina; Joni-Kristian Kamarainen; Maarja Kruusmaa (IEEE Trans. Instrum. Meas., 2017)

Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. - Ke Chen 004; Zhaoxiang Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking. - Zhijun Zhang 003; Shi Mao; Ke Chen 004; Lin Xiao 002; Bolin Liao; Chunquan Li 001; Penzchao Zhang (ROBIO, 2018)

Hierarchical Deformable Part Models for Heads and Tails. - Fatemeh Shokrollahi Yancheshmeh; Ke Chen 004; Joni-Kristian Kämäräinen (VISIGRAPP (5: VISAPP), 2018)

A Primal Neural Network for Online Equality-Constrained Quadratic Programming. - Ke Chen 004; Zhaoxiang Zhang 001 (Cogn. Comput., 2018)

Dichromatic Gray Pixel for Camera-agnostic Color Constancy. - Yanlin Qian; Ke Chen 004; Jarno Nikkanen; Joni-Kristian Kämäräinen; Jiri Matas (CoRR, 2018)

Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations. - Lin Xiao 002; Bolin Liao; Shuai Li 002; Ke Chen 004 (Neural Networks, 2018)

Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. - Guanqun Cao; Alexandros Iosifidis; Ke Chen 004; Moncef Gabbouj (IEEE Trans. Cybern., 2018)

Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation. - Dan Yang 012; Yanlin Qian; Ke Chen 004; Eleni Berki; Joni-Kristian Kamarainen (IEEE Trans. Intell. Transp. Syst., 2018)

Efficient 3D Visual Perception for Robotic Rock Breaking. - Longchuan Niu; Ke Chen 004; Kui Jia; Jouni Mattila (CASE, 2019)

Deep Cascade Generation on Point Sets. - Kaiqi Wang; Ke Chen 004; Kui Jia (IJCAI, 2019)

Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. - Yanlin Qian; Ke Chen 004; Huanglin Yu (ISPA, 2019)

Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. - Zhiguo Tan; Yueming Hu 002; Lin Xiao 002; Ke Chen 004 (IEEE Access, 2019)

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. - Chongsheng Zhang; Guowen Peng; Yuefeng Tao; Feifei Fu; Wei Jiang; George Almpanidis; Ke Chen 004 (CoRR, 2019)

Geometry-aware Generation of Adversarial and Cooperative Point Clouds. - Yuxin Wen; Jiehong Lin; Ke Chen 004; Kui Jia (CoRR, 2019)

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. - Zelin Xu 002; Ke Chen 004; Kui Jia (CoRR, 2019)

Nonlinear gradient neural network for solving system of linear equations. - Lin Xiao 002; Kenli Li 001; Zhiguo Tan; Zhijun Zhang 003; Bolin Liao; Ke Chen 004; Long Jin 001; Shuai Li 002 (Inf. Process. Lett., 2019)

A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. - Lin Xiao 002; Yongsheng Zhang; Jianhua Dai; Ke Chen 004; Song Yang; Weibing Li; Bolin Liao; Lei Ding 007; Jichun Li 002 (Neural Networks, 2019)

Cumulative attribute space regression for head pose estimation and color constancy. - Ke Chen 004; Kui Jia; Heikki Huttunen; Jiri Matas; Joni-Kristian Kämäräinen (Pattern Recognit., 2019)

Convolutional low-resolution fine-grained classification. - Dingding Cai; Ke Chen 004; Yanlin Qian; Joni-Kristian Kämäräinen (Pattern Recognit. Lett., 2019)

Guest Editorial: Special Issue on Machine Learning Implementations. - Heikki Huttunen; Ke Chen 004; Zhaoxiang Zhang 001 (J. Signal Process. Syst., 2019)

Cascading Convolutional Color Constancy. - Huanglin Yu; Ke Chen 004; Kaiqi Wang; Yanlin Qian; Zhaoxiang Zhang 001; Kui Jia (AAAI, 2020)

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. - Hui Tang; Ke Chen 004; Kui Jia (CVPR, 2020)

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. - Yixiong Zou; Shanghang Zhang; Ke Chen 004; Yonghong Tian 001; Yaowei Wang 001; José M. F. Moura (ACM Multimedia, 2020)

CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. - Jiehong Lin; Xian Shi; Yuan Gao; Ke Chen 004; Kui Jia (CoRR, 2020)

3D Object Classification on Partial Point Clouds: A Practical Perspective. - Zelin Xu 002; Ke Chen 004; Tong Zhang 015; C. L. Philip Chen; Kui Jia (CoRR, 2020)

On the investigation of activation functions in gradient neural network for online solving linear matrix equation. - Zhiguo Tan; Yueming Hu 002; Ke Chen 004 (Neurocomputing, 2020)

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. - Shengheng Deng; Xun Xu 002; Chaozheng Wu; Ke Chen 004; Kui Jia (CVPR, 2021)

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. - Longkun Zou; Hui Tang; Ke Chen 004; Kui Jia (ICCV, 2021)

Object Point Cloud Classification via Poly-Convolutional Architecture Search. - Xuanxiang Lin; Ke Chen 004; Kui Jia (ACM Multimedia, 2021)

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. - Jiehong Lin; Hongyang Li; Ke Chen 004; Jiangbo Lu; Kui Jia (NeurIPS, 2021)

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. - Xian Shi; Xun Xu 002; Ke Chen 004; Lile Cai; Chuan Sheng Foo; Kui Jia (CoRR, 2021)

Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. - Longkun Zou; Hui Tang; Ke Chen 004; Kui Jia (CoRR, 2021)

New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. - Lin Wei; Long Jin 001; Chenguang Yang 001; Ke Chen 004; Weibing Li (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Fine-Grained Object Classification via Self-Supervised Pose Alignment. - Xuhui Yang; Yaowei Wang 001; Ke Chen 004; Yong Xu 007; Yonghong Tian 001 (CVPR, 2022)

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. - Yongwei Chen; Zihao Wang; Longkun Zou; Ke Chen 004; Kui Jia (ECCV (33), 2022)

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. - Zelin Xu 002; Yichen Zhang; Ke Chen 004; Kui Jia (IJCAI, 2022)

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. - Chongsheng Zhang; Bin Wang 063; Ke Chen 004; Ruixing Zong; Bofeng Mo; Yi Men; George Almpanidis; Shanxiong Chen; Xiangliang Zhang 001 (KDD, 2022)

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. - Hui Tang; Xiatian Zhu; Ke Chen 004; Kui Jia; C. L. Philip Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Geometry-Aware Generation of Adversarial Point Clouds. - Yuxin Wen; Jiehong Lin; Ke Chen 004; C. L. Philip Chen; Kui Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification. - Dingyuan Zheng; Jimin Xiao; Ke Chen 004; Xiaowei Huang 001; Lin Chen; Yao Zhao 001 (Pattern Recognit., 2022)

Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. - Lulu Tang; Ke Chen 004; Chaozheng Wu; Yu Hong; Kui Jia; Zhi-Xin Yang 001 (IEEE Trans. Cybern., 2022)

Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. - Kangjun Liu; Ke Chen 004; Kui Jia (IEEE Trans. Image Process., 2022)

Attribute-Aware Feature Encoding for Object Recognition and Segmentation. - Shu Yang 007; Yaowei Wang 001; Ke Chen 004; Wei Zeng 006; Zesong Fei (IEEE Trans. Multim., 2022)

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. - Chongsheng Zhang; Yaxin Hou; Ke Chen 004; Shuang Cao; Gaojuan Fan; Ji Liu 003 (AAAI, 2023)

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. - Yichen Zhang; Jiehong Lin; Ke Chen 004; Zelin Xu 002; Yaowei Wang 001; Kui Jia (IJCAI, 2023)

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. - Kangjun Liu; Ke Chen 004; Lihua Guo; Yaowei Wang 001; Kui Jia (CoRR, 2023)

Classification of single-view object point clouds. - Zelin Xu 002; Kangjun Liu; Ke Chen 004; Changxing Ding; Yaowei Wang 001; Kui Jia (Pattern Recognit., 2023)

Adversarial Geometric Transformations of Point Clouds for Physical Attack. - Jingyu Xiang; Xuanxiang Lin; Ke Chen 004; Kui Jia (CVM (1), 2024)

RobUNet: A Radio Map Construction Method with A Strong Generalization Capability. - Shuai Shao; Kangjun Liu; Qingyu Liu; Shuhang Zhang; Ke Chen 004; Lingyang Song (GLOBECOM, 2024)

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps. - Shuhang Zhang; Shuai Jiang; Wanjie Lin; Zheng Fang; Kangjun Liu; Hongliang Zhang 001; Ke Chen 004 (CoRR, 2024)

TransWild: Enhancing 3D interacting hands recovery in the wild with IoU-guided Transformer. - Wanru Zhu; Yichen Zhang; Ke Chen 004; Lihua Guo (Image Vis. Comput., 2024)

Boosting Cross-Domain Point Classification via Distilling Relational Priors From 2D Transformers. - Longkun Zou; Wanru Zhu; Ke Chen 004; Lihua Guo; Kailing Guo; Kui Jia; Yaowei Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space. - Hongchao Zhong; Li Yu 004; Longkun Zou; Ke Chen 004 (CVM (3), 2025)

Point cloud upsampling via implicit shape priors discovery and refinement. - Li Yu 004; Jiafu Zhang; Ke Chen 004; Moncef Gabbouj (Displays, 2025)

Nonlinearly activated gradient neuronet with fixed-time convergence for online equality-constrained quadratic programming. - Xuanjiao Lv; Ke Chen 004; Junying Yuan (Neurocomputing, 2025)

Improving deep representation learning via auxiliary learnable target coding. - Kangjun Liu; Ke Chen 004; Kui Jia; Yaowei Wang 001 (Pattern Recognit., 2025)

Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm. - Shuhang Zhang; Qingyu Liu; Ke Chen 004; Boya Di; Hongliang Zhang 001; Wenhan Yang; Dusit Niyato; Zhu Han 001; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2025)

OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing. - Xiang Xiang 001; Zhuo Xu; Yao Deng; Qinhao Zhou; Yifan Liang; Ke Chen 004; Qingfang Zheng; Yaowei Wang 001; Xi-Lin Chen 001; Wen Gao 001 (CoRR, 2025)

RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1‱ Spatial Sampling. - Zheng Fang; Kangjun Liu; Ke Chen 004; Qingyu Liu; Jianguo Zhang; Lingyang Song; Yaowei Wang 001 (CoRR, 2025)

Generative AI on SpectrumNet: An Open Benchmark of Multiband 3-D Radio Maps. - Shuhang Zhang; Shuai Jiang; Wanjie Lin; Zheng Fang; Kangjun Liu; Hongliang Zhang 001; Ke Chen 004 (IEEE Trans. Cogn. Commun. Netw., 2025)

Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation. - Li Yu 004; Hongchao Zhong; Longkun Zou; Ke Chen 004; Pan Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation. - Taiqin Chen; Zikun Zhou; Zheng Fang; Wenzhen Zou; Kanjun Liu; Ke Chen 004; Yongbing Zhang; Yaowei Wang 001 (CoRR, 2025)

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. - Longkun Zou; Kangjun Liu; Ke Chen 004; Kailing Guo; Kui Jia; Yaowei Wang 001 (CoRR, 2025)