| * | 2009 |
|---|
| 85 | EE | Yueguo Chen,
Gang Chen,
Ke Chen,
Beng Chin Ooi:
Efficient Processing of Warping Time Series Join of Motion Capture Data.
ICDE 2009: 1048-1059 |
| 84 | EE | Ke Chen,
Haim Kaplan,
Micha Sharir:
Online conflict-free coloring for halfplanes, congruent disks, and axis-parallel rectangles.
ACM Transactions on Algorithms 5(2): (2009) |
| 83 | EE | Yunong Zhang,
Yanyan Shi,
Ke Chen,
Chaoli Wang:
Global exponential convergence and stability of gradient-based neural network for online matrix inversion.
Applied Mathematics and Computation 215(3): 1301-1306 (2009) |
| 82 | EE | Huijun Gao,
Yan Zhao,
James Lam,
Ke Chen:
Hbm infty Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements.
IEEE T. Fuzzy Systems 17(2): 291-300 (2009) |
| 81 | EE | Ke Chen,
Kai Hwang,
Gang Chen:
Heuristic Discovery of Role-Based Trust Chains in Peer-to-Peer Networks.
IEEE Trans. Parallel Distrib. Syst. 20(1): 83-96 (2009) |
| 80 | EE | Ke Chen,
Yingfu Jiang,
Li Du,
Lukasz A. Kurgan:
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs.
Journal of Computational Chemistry 30(1): 163-172 (2009) |
| 79 | EE | Yunong Zhang,
Weimu Ma,
Xiao-Dong Li,
Hong-Zhou 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) |
| 78 | EE | 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 and Autonomous Systems 57(6-7): 645-651 (2009) |
| 2008 |
|---|
| 77 | | Qingxin Zhu,
Fan Yang,
Ke Chen:
Optimal Search Model for Combined Strategy in Sequence Alignment.
BIOCOMP 2008: 868-874 |
| 76 | EE | 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 |
| 75 | EE | 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 |
| 74 | EE | 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 |
| 73 | EE | 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 |
| 72 | EE | 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 |
| 71 | EE | 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 |
| 70 | EE | 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 |
| 69 | EE | Ke Chen:
A constant factor approximation algorithm for k-median clustering with outliers.
SODA 2008: 826-835 |
| 68 | EE | Ke Chen,
Jia Wang:
The Data Mining Technology Based on CIMS and its Application on Automotive Remanufacturing.
WKDD 2008: 48-52 |
| 67 | EE | Wei Guo,
Ke Chen,
Jia Wang:
An Empirical Study on Improving the Manufacturing Informatization Index System of China.
WKDD 2008: 53-58 |
| 66 | EE | Jishou Ruan,
Hanzhe Chen,
Lukasz A. Kurgan,
Ke Chen,
Chunsheng Kang,
Peiyu Pu:
HuMiTar: A sequence-based method for prediction of human microRNA targets.
Algorithms for Molecular Biology 3: (2008) |
| 65 | EE | Lukasz A. Kurgan,
Krzysztof J. Cios,
Ke Chen:
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
BMC Bioinformatics 9: (2008) |
| 64 | EE | Hua Zhang,
Tuo Zhang,
Ke Chen,
Shiyi Shen,
Jishou Ruan,
Lukasz A. Kurgan:
Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
BMC Bioinformatics 9: (2008) |
| 63 | EE | Tuo Zhang,
Hua Zhang,
Ke Chen,
Shiyi Shen,
Jishou Ruan,
Lukasz A. Kurgan:
Accurate sequence-based prediction of catalytic residues.
Bioinformatics 24(20): 2329-2338 (2008) |
| 62 | EE | Ke Chen:
Erratum to "Adaptive Smoothing via Contextual and Local Discontinuities".
IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1872 (2008) |
| 61 | EE | Ke Chen,
Lukasz A. Kurgan,
Jishou Ruan:
Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
Journal of Computational Chemistry 29(10): 1596-1604 (2008) |
| 60 | EE | Ke Chen,
Sariel Har-Peled:
The Euclidean Orienteering Problem Revisited.
SIAM J. Comput. 38(1): 385-397 (2008) |
| 59 | EE | Raymond H. Chan,
Ke Chen:
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal.
SIAM J. Scientific Computing 30(3): 1474-1489 (2008) |
| 2007 |
|---|
| 58 | | Ke Chen,
Lipo Wang:
Trends in Neural Computation
Springer 2007 |
| 57 | EE | Shuang Liang,
Ke Chen,
Song Jiang,
Xiaodong Zhang:
Cost-Aware Caching Algorithms for Distributed Storage Servers.
DISC 2007: 373-387 |
| 56 | EE | Yunong Zhang,
Ke Chen,
Weimu Ma,
Xiao-Dong Li:
MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion.
ICIC (2) 2007: 98-109 |
| 55 | EE | Shihai Wang,
Ke Chen:
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification.
IJCNN 2007: 355-360 |
| 54 | EE | Ke Chen,
Shihai Wang:
Regularized Boost for Semi-Supervised Learning.
NIPS 2007 |
| 53 | EE | Yun Yang,
Ke Chen:
Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering.
Trends in Neural Computation 2007: 315-336 |
| 52 | EE | Ke Chen,
Lukasz A. Kurgan:
PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
Bioinformatics 23(21): 2843-2850 (2007) |
| 51 | EE | Martyn D. Hughes,
Ke Chen:
Efficient parallelization of the iterative solution of a coupled fluid-structure interaction problem.
Concurrency and Computation: Practice and Experience 19(10): 1423-1445 (2007) |
| 50 | EE | Ke Chen:
Fast iterative and preconditioning methods for linear and non-linear systems.
Int. J. Comput. Math. 84(8): 1115 (2007) |
| 49 | EE | Raymond H. Chan,
Ke Chen:
Preconditioning and convergence in the right norm.
Int. J. Comput. Math. 84(8): 1183-1198 (2007) |
| 48 | EE | Ke Chen,
Xue-Cheng Tai:
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration.
J. Sci. Comput. 33(2): 115-138 (2007) |
| 47 | EE | Ke Chen,
Amos Fiat,
Haim Kaplan,
Meital Levy,
Jirí Matousek,
Elchanan Mossel,
János Pach,
Micha Sharir,
Shakhar Smorodinsky,
Uli Wagner,
Emo Welzl:
Online Conflict-Free Coloring for Intervals.
SIAM J. Comput. 36(5): 1342-1359 (2007) |
| 2006 |
|---|
| 46 | EE | Ke Chen,
Lukasz A. Kurgan,
Jishou Ruan:
Optimization of the Sliding Window Size for Protein Structure Prediction.
CIBCB 2006: 1-7 |
| 45 | EE | Kanaka Durga Kedarisetti,
Ke Chen,
Aashima Kapoor,
Lukasz A. Kurgan:
Prediction of the Number of Helices for the Twilight Zone Proteins.
CIBCB 2006: 1-7 |
| 44 | EE | Ke Chen,
Gang Chen,
Tianlei Hu,
Jinxiang Dong:
Resilient Rights Protection for Product Data.
CSCWD 2006: 1015-1020 |
| 43 | EE | Lihua Yu,
Gang Chen,
Ke Chen,
Jinxiang Dong:
Securely Sharing Data in Encrypted Databases.
CSCWD 2006: 957-962 |
| 42 | EE | Gang Chen,
Ke Chen,
Jinxiang Dong:
A Database Encryption Scheme for Enhanced Security and Easy Sharing.
CSCWD 2006: 995-1000 |
| 41 | EE | Cheng Zang,
Zhongdong Huang,
Ke Chen,
Jinxiang Dong:
An Architecture Approach to Dynamic Policy in RBAC.
CSCWD (Selected Papers) 2006: 627-634 |
| 40 | EE | Ke Chen,
Gang Chen,
Cheng Zang,
Jinxiang Dong:
A Fractal Watermark Solution for Product Data.
CSCWD (Selected Papers) 2006: 635-646 |
| 39 | EE | Yun Yang,
Ke Chen:
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering.
IJCNN 2006: 3120-3127 |
| 38 | EE | Ke Chen:
On k-Median clustering in high dimensions.
SODA 2006: 1177-1185 |
| 37 | EE | Ke Chen,
Sariel Har-Peled:
The orienteering problem in the plane revisited.
Symposium on Computational Geometry 2006: 247-254 |
| 36 | EE | Ke Chen:
How to play a coloring game against a color-blind adversary.
Symposium on Computational Geometry 2006: 44-51 |
| 2005 |
|---|
| 35 | | Lipo Wang,
Ke Chen,
Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
Springer 2005 |
| 34 | | Lipo Wang,
Ke Chen,
Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
Springer 2005 |
| 33 | | Lipo Wang,
Ke Chen,
Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III
Springer 2005 |
| 32 | EE | Ke Chen:
Boosting Input/Output Hidden Markov Models for Sequence Classification.
ICNC (2) 2005: 656-665 |
| 31 | EE | Gang Chen,
Ke Chen,
Tianlei Hu,
Jinxiang Dong:
Watermarking Abstract Tree-Structured Data.
WAIM 2005: 221-232 |
| 30 | EE | Tianlei Hu,
Gang Chen,
Ke Chen,
Jinxiang Dong:
GARWM: Towards a Generalized and Adaptive Watermark Scheme for Relational Data.
WAIM 2005: 380-391 |
| 29 | EE | Ke Chen,
Gang Chen,
Jinxiang Dong:
An Immunity-Based Intrusion Detection Solution for Database Systems.
WAIM 2005: 773-778 |
| 28 | EE | Ke Chen:
Adaptive Smoothing via Contextual and Local Discontinuities.
IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1552-1567 (2005) |
| 27 | EE | Ke Chen:
On the use of different speech representations for speaker modeling.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(3): 301-314 (2005) |
| 26 | EE | Joseph Savage,
Ke Chen:
An improved and accelerated non-linear multigrid method for total-variation denoising.
Int. J. Comput. Math. 82(8): 1001-1015 (2005) |
| 25 | EE | Stuart C. Hawkins,
Ke Chen:
An Implicit Wavelet Sparse Approximate Inverse Preconditioner.
SIAM J. Scientific Computing 27(2): 667-686 (2005) |
| 2004 |
|---|
| 24 | EE | Ke Chen:
Speaker Modeling with Various Speech Representations.
ICBA 2004: 592-599 |
| 23 | EE | Ke Chen,
Sunny Yeung:
Personalized News Reading via Hybrid Learning.
IDEAL 2004: 607-612 |
| 22 | EE | Stuart C. Hawkins,
Ke Chen:
New wavelet preconditioner for solving boundary integral equations over nonsmooth boundaries.
Int. J. Comput. Math. 81(3): 353-360 (2004) |
| 21 | EE | Martyn D. Hughes,
Ke Chen:
An efficient preconditioned iterative solver for solving a coupled fluid structure interaction problem.
Int. J. Comput. Math. 81(5): 583-594 (2004) |
| 2003 |
|---|
| 20 | | Ting-Yao Wu,
Lie Lu,
Ke Chen,
HongJiang Zhang:
Universal Background Models for Real-time Speaker Change Detection.
MMM 2003: 135-149 |
| 19 | EE | Judith M. Ford,
Ke Chen,
David J. Evans:
On a Recursive Schur Preconditioner for Iterative Solution of a Class of Dense Matrix Problems.
Int. J. Comput. Math. 80(1): 105-122 (2003) |
| 18 | EE | Judith M. Ford,
Ke Chen,
Neville J. Ford:
Flexible parallelization of fast wavelet transforms.
Parallel Algorithms Appl. 18(4): 155-169 (2003) |
| 17 | EE | Ke Chen:
Towards better making a decision in speaker verification.
Pattern Recognition 36(2): 329-346 (2003) |
| 2002 |
|---|
| 16 | EE | Anwar Hussein,
Ke Chen,
Haibin Wan:
On Adapting Test Function Methods for Fast Detection of fold bifurcations in Power Systems.
I. J. Bifurcation and Chaos 12(1): 179-185 (2002) |
| 15 | EE | Ke Chen,
DeLiang L. Wang:
A dynamically coupled neural oscillator network for image segmentation.
Neural Networks 15(3): 423-439 (2002) |
| 14 | | Ke Chen,
Choi H. Lai:
Parallel algorithms of the Purcell method for direct solution of linear systems.
Parallel Computing 28(9): 1275-1291 (2002) |
| 13 | EE | Ke Chen,
Ting-Yao Wu,
HongJiang Zhang:
On the use of nearest feature line for speaker identification.
Pattern Recognition Letters 23(14): 1735-1746 (2002) |
| 2000 |
|---|
| 12 | EE | Lan Wang,
Ke Chen,
Huisheng Chi:
Capture Inter-Speaker Information with a Neural Network for Speaker Identification.
IJCNN (5) 2000: 247-252 |
| 1999 |
|---|
| 11 | EE | Ke Chen,
Huisheng Chi:
A Modular Neural Network Architecture for Pattern Classification Based on Different Feature Sets.
Int. J. Neural Syst. 9(6): 563-581 (1999) |
| 10 | EE | Ke Chen,
Lei Xu,
Huishen Chi:
Improved learning algorithms for mixture of experts in multiclass classification.
Neural Networks 12(9): 1229-1252 (1999) |
| 1998 |
|---|
| 9 | EE | Ke Chen,
DeLiang L. Wang:
Perceiving without Learning: From Spirals to Inside/Outside Relations.
NIPS 1998: 10-16 |
| 8 | EE | Ke Chen,
Huisheng Chi:
A method of combining multiple probabilistic classifiers through soft competition on different feature sets.
Neurocomputing 20(1-3): 227-252 (1998) |
| 7 | EE | Ke Chen:
A connectionist method for pattern classification with diverse features.
Pattern Recognition Letters 19(7): 545-558 (1998) |
| 1997 |
|---|
| 6 | | Ke Chen,
Lan Wang,
Huisheng Chi:
Methods of Combining Multiple Classifiers with Different Features and Their Applications to Text-Independent Speaker Identification.
IJPRAI 11(3): 417-445 (1997) |
| 5 | | Ke Chen,
Xiang Yu,
Huisheng Chi:
Combining Linear Discriminant Functions with Neural Networks for Supervised Learning.
Neural Computing and Applications 6(1): 19-41 (1997) |
| 4 | EE | Ke Chen,
Liping Yang,
Xiang Yu,
Huisheng Chi:
A self-generating modular neural network architecture for supervised learning.
Neurocomputing 16(1): 33-48 (1997) |
| 1996 |
|---|
| 3 | | Ke Chen,
Dahong Xie,
Huisheng Chi:
Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study.
Neural Processing Letters 3(2): 81-89 (1996) |
| 1994 |
|---|
| 2 | | Ke Chen,
Jean-Michel Henrioud:
Systematic Generation of Assembly Precedence Graphs.
ICRA 1994: 1476-1482 |
| 1990 |
|---|
| 1 | EE | Huasheng Chen,
Ke Chen:
A Model-Directed Image Understanding System for Computer Vision.
IEA/AIE (Vol. 1) 1990: 191-195 |
