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ORCIDKe Chen 0001
Person information
- affiliation (since 2003): University of Manchester, Department of Computer Science, Manchester, UK
- affiliation (1993 - 2003): Peking University, National Laboratory of Machine Perception and The Center for Information Science, Beijing, China
Other persons with the same name
- Ke Chen — disambiguation page
- Ke Chen 0002
![[0000-0002-6093-6623]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6093-6623")
— 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 0004 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 3 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
- 2024
[j47]Lisheng Wu, Ke Chen:
Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning. Mach. Learn. 113(5): 2527-2557 (2024)- 2021
- [j46]Yuelong Xia, Ke Chen, Yun Yang:
Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. 557: 421-442 (2021) - 2020
- [j45]Qian Wang, Ke Chen:
Multi-label zero-shot human action recognition via joint latent ranking embedding. Neural Networks 122: 1-23 (2020) - [c35]Maksymilian Wojtas, Ke Chen:
Feature Importance Ranking for Deep Learning. NeurIPS 2020 - [i20]William Woof, Ke Chen:
A Framework for End-to-End Learning on Semantic Tree-Structured Data. CoRR abs/2002.05707 (2020) - [i19]Maksymilian Wojtas, Ke Chen:
Feature Importance Ranking for Deep Learning. CoRR abs/2010.08973 (2020)
2010 – 2019
- 2019
- [j44]Shun Zhang, Yantao He, Jiang Wei, Shaohui Mei, Shuai Wan, Ke Chen:
Person Re-Identification With Joint Verification and Identification of Identity-Attribute Labels. IEEE Access 7: 126116-126126 (2019) - [c34]Hao Zhou, Ke Chen:
Transferable Positive/negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. ICASSP 2019: 3732-3736 - [i18]Ke Chen:
Learning-Based Video Game Development in MLP@UoM: An Overview. CoRR abs/1908.10127 (2019) - [i17]Fabio Massimo Zennaro, Ke Chen:
Towards Further Understanding of Sparse Filtering via Information Bottleneck. CoRR abs/1910.08964 (2019) - 2018
- [j43]Tamas Madl, Stan Franklin, Ke Chen, Robert Trappl:
A computational cognitive framework of spatial memory in brains and robots. Cogn. Syst. Res. 47: 147-172 (2018) - [j42]Harits Ar Rosyid, Matt Palmerlee, Ke Chen:
Deploying learning materials to game content for serious education game development: A case study. Entertain. Comput. 26: 1-9 (2018) - [j41]Fabio Massimo Zennaro, Ke Chen:
Towards understanding sparse filtering: A theoretical perspective. Neural Networks 98: 154-177 (2018) - [j40]Peizhi Shi, Ke Chen:
Learning Constructive Primitives for Real-Time Dynamic Difficulty Adjustment in Super Mario Bros. IEEE Trans. Games 10(2): 155-169 (2018) - [c33]William Woof, Ke Chen:
Learning to Play General Video-Games via an Object Embedding Network. CIG 2018: 1-8 - [i16]William Woof, Ke Chen:
Learning to Play General Video-Games via an Object Embedding Network. CoRR abs/1803.05262 (2018) - [i15]Hao Zhou, Ke Chen:
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. CoRR abs/1810.12782 (2018) - 2017
- [j39]Qian Wang, Ke Chen:
Zero-Shot Visual Recognition via Bidirectional Latent Embedding. Int. J. Comput. Vis. 124(3): 356-383 (2017) - [j38]David L. Buckley, Ke Chen, Joshua D. Knowles:
Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games 9(1): 63-75 (2017) - [j37]Ubai Sandouk, Ke Chen:
Learning Contextualized Music Semantics from Tags Via a Siamese Neural Network. ACM Trans. Intell. Syst. Technol. 8(2): 24:1-24:21 (2017) - [c32]Qian Wang, Ke Chen:
Alternative Semantic Representations for Zero-Shot Human Action Recognition. ECML/PKDD (1) 2017: 87-102 - [i14]Qian Wang, Ke Chen:
Alternative Semantic Representations for Zero-Shot Human Action Recognition. CoRR abs/1706.09317 (2017) - [i13]Qian Wang, Ke Chen:
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding. CoRR abs/1709.05107 (2017) - 2016
- [j36]Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen:
A survey on touch dynamics authentication in mobile devices. Comput. Secur. 59: 210-235 (2016) - [j35]Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen:
TDAS: a touch dynamics based multi-factor authentication solution for mobile devices. Int. J. Pervasive Comput. Commun. 12(1): 127-153 (2016) - [j34]Ubai Sandouk, Ke Chen:
Learning contextualized semantics from co-occurring terms via a Siamese architecture. Neural Networks 76: 65-96 (2016) - [c31]Peizhi Shi, Ke Chen:
Online level generation in Super Mario Bros via learning constructive primitives. CIG 2016: 1-8 - [c30]Jon Parkinson, Ubai Sandouk, Ke Chen:
Exploring a Mixed Representation for Encoding Temporal Coherence. ECML/PKDD (2) 2016: 347-360 - [i12]Fabio Massimo Zennaro, Ke Chen:
Towards Understanding Sparse Filtering: A Theoretical Perspective. CoRR abs/1603.08831 (2016) - [i11]Ubai Sandouk, Ke Chen:
Multi-Label Zero-Shot Learning via Concept Embedding. CoRR abs/1606.00282 (2016) - [i10]Qian Wang, Ke Chen:
Zero-Shot Visual Recognition via Bidirectional Latent Embedding. CoRR abs/1607.02104 (2016) - [i9]Fabio Massimo Zennaro, Ke Chen:
On Covariate Shift Adaptation via Sparse Filtering. CoRR abs/1607.06781 (2016) - [i8]Harits Ar Rosyid, Matt Palmerlee, Ke Chen:
Deploying learning materials to game content for serious education game development: A case study. CoRR abs/1608.01611 (2016) - 2015
- [j33]Tamas Madl, Ke Chen, Daniela Montaldi, Robert Trappl:
Computational cognitive models of spatial memory in navigation space: A review. Neural Networks 65: 18-43 (2015) - [j32]Jonathan Roberts, Ke Chen:
Learning-Based Procedural Content Generation. IEEE Trans. Comput. Intell. AI Games 7(1): 88-101 (2015) - [c29]Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen:
Recognizing Your Touch: Towards Strengthening Mobile Device Authentication via Touch Dynamics Integration. MoMM 2015: 108-116 - [p2]Ke Chen:
Deep and Modular Neural Networks. Handbook of Computational Intelligence 2015: 473-494 - [i7]Ubai Sandouk, Ke Chen:
Learning Contextualized Music Semantics from Tags via a Siamese Network. CoRR abs/1504.07968 (2015) - [i6]Ubai Sandouk, Ke Chen:
Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture. CoRR abs/1506.05514 (2015) - [i5]Peizhi Shi, Ke Chen:
Learning Constructive Primitives for Online Level Generation and Real-time Content Adaptation in Super Mario Bros. CoRR abs/1510.07889 (2015) - 2014
- [i4]David L. Buckley, Ke Chen, Joshua D. Knowles:
Rapid Skill Capture in a First-Person Shooter. CoRR abs/1411.1316 (2014) - 2013
- [c28]David L. Buckley, Ke Chen, Joshua D. Knowles:
Predicting skill from gameplay input to a first-person shooter. CIG 2013: 1-8 - [i3]Jonathan Roberts, Ke Chen:
Learning-Based Procedural Content Generation. CoRR abs/1308.6415 (2013) - 2011
- [j31]Ke Chen, Shihai Wang:
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 129-143 (2011) - [j30]Yun Yang, Ke Chen:
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. 23(2): 307-320 (2011) - [j29]Ke Chen, Ahmad Salman:
Learning Speaker-Specific Characteristics With a Deep Neural Architecture. IEEE Trans. Neural Networks 22(11): 1744-1756 (2011) - [j28]Yun Yang, Ke Chen:
Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C 41(2): 190-199 (2011) - [c27]Ahmad Salman, Ke Chen:
Exploring speaker-specific characteristics with deep learning. IJCNN 2011: 103-110 - [c26]Arslan Shaukat, Ke Chen:
Emotional state recognition from speech via soft-competition on different acoustic representations. IJCNN 2011: 1910-1917 - [c25]Ke Chen, Ahmad Salman:
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network. NIPS 2011: 298-306 - 2010
- [c24]Yun Yang, Ke Chen:
Unsupervised learning via iteratively constructed clustering ensemble. IJCNN 2010: 1-8 - [i2]Arslan Shaukat, Ke Chen:
Emotional State Categorization from Speech: Machine vs. Human. CoRR abs/1009.0108 (2010) - [i1]Arslan Shaukat, Ke Chen:
Exploring Language-Independent Emotional Acoustic Features via Feature Selection. CoRR abs/1009.0117 (2010)
2000 – 2009
- 2008
- [j27]Ke Chen:
Erratum to "Adaptive Smoothing via Contextual and Local Discontinuities". IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1872 (2008) - [c23]Arslan Shaukat, Ke Chen:
Towards automatic emotional state categorization from speech signals. INTERSPEECH 2008: 2771-2774 - 2007
- [c22]Shihai Wang, Ke Chen:
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN 2007: 355-360 - [c21]Ke Chen, Shihai Wang:
Regularized Boost for Semi-Supervised Learning. NIPS 2007: 281-288 - [p1]Yun Yang, Ke Chen:
Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. Trends in Neural Computation 2007: 315-336 - [e4]Ke Chen, Lipo Wang:
Trends in Neural Computation. Studies in Computational Intelligence 35, Springer 2007, ISBN 978-3-540-36121-3 [contents] - 2006
- [c20]Yun Yang, Ke Chen:
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN 2006: 3120-3127 - 2005
- [j26]Ke Chen:
Adaptive Smoothing via Contextual and Local Discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1552-1567 (2005) - [j25]Ke Chen:
On the use of different speech representations for speaker modeling. IEEE Trans. Syst. Man Cybern. Part C 35(3): 301-314 (2005) - [c19]Ke Chen:
Boosting Input/Output Hidden Markov Models for Sequence Classification. ICNC (2) 2005: 656-665 - [e3]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. Lecture Notes in Computer Science 3610, Springer 2005, ISBN 3-540-28323-4 [contents] - [e2]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. Lecture Notes in Computer Science 3611, Springer 2005, ISBN 3-540-28325-0 [contents] - [e1]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. Lecture Notes in Computer Science 3612, Springer 2005, ISBN 3-540-28320-X [contents] - 2004
- [c18]Ke Chen:
Speaker Modeling with Various Speech Representations. ICBA 2004: 592-599 - [c17]Ke Chen, Sunny Yeung:
Personalized News Reading via Hybrid Learning. IDEAL 2004: 607-612 - 2003
- [j24]Ke Chen:
Towards better making a decision in speaker verification. Pattern Recognit. 36(2): 329-346 (2003) - [c16]Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang:
UBM-based real-time speaker segmentation for broadcasting news. ICASSP (2) 2003: 193-196 - [c15]Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang:
UBM-based incremental speaker adaptation. ICME 2003: 721-724 - [c14]Ting-Yao Wu, Lie Lu, Ke Chen, HongJiang Zhang:
Universal Background Models for Real-time Speaker Change Detection. MMM 2003: 135-149 - 2002
- [j23]Ke Chen, DeLiang L. Wang:
A dynamically coupled neural oscillator network for image segmentation. Neural Networks 15(3): 423-439 (2002) - [j22]Ke Chen, Ting-Yao Wu, HongJiang Zhang:
On the use of nearest feature line for speaker identification. Pattern Recognit. Lett. 23(14): 1735-1746 (2002) - [j21]Lan Wang, Ke Chen, Huisheng Chi:
Capture interspeaker information with a neural network for speaker identification. IEEE Trans. Neural Networks 13(2): 436-445 (2002) - [c13]Xiaolong Li, Ke Chen:
Mandarin verbal information verification. ICASSP 2002: 833-836 - 2001
- [j20]Xiuwen Liu, Ke Chen, DeLiang Wang:
Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation. IEEE Trans. Geosci. Remote. Sens. 39(1): 207-211 (2001) - [j19]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review]. IEEE Trans. Neural Networks 12(3): 644-647 (2001) - [j18]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review]. IEEE Trans. Neural Networks 12(3): 647 (2001) - [j17]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Feedforward Neural Network Methodology. IEEE Trans. Neural Networks 12(3): 647-648 (2001) - [j16]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Neural and Adaptive Systems: Fundamentals Through Simulations. IEEE Trans. Neural Networks 12(3): 648-649 (2001) - [j15]Ke Chen, DeLiang Wang:
Perceiving geometric patterns: from spirals to inside-outside relations. IEEE Trans. Neural Networks 12(5): 1084-1102 (2001) - [c12]Helen M. Meng, Shuk Fong Chan, Yee Fong Wong, Cheong Chat Chan, Yiu Wing Wong, Tien Ying Fung, Wai Ching Tsui, Ke Chen, Lan Wang, Ting-Yao Wu, Xiaolong Li, Tan Lee, Wing Nin Choi, P. C. Ching, Huisheng Chi:
ISIS: a learning system with combined interaction and delegation dialogs. INTERSPEECH 2001: 1551-1554 - 2000
- [j14]Ke Chen, DeLiang L. Wang, Xiuwen Liu:
Weight adaptation and oscillatory correlation for image segmentation. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1106-1123 (2000) - [c11]Lan Wang, Ke Chen, Huisheng Chi:
Capture Inter-Speaker Information with a Neural Network for Speaker Identification. IJCNN (5) 2000: 247-252 - [c10]Helen M. Meng, Shuk Fong Chan, Yee Fong Wong, Tien Ying Fung, Wai Ching Tsui, Tin Hang Lo, Cheong Chat Chan, Ke Chen, Lan Wang, Ting-Yao Wu, Xiaolong Li, Tan Lee, Wing Nin Choi, Yiu Wing Wong, P. C. Ching, Huisheng Chi:
ISIS: A multilingual spoken dialog system developed with CORBA and KQML agents. INTERSPEECH 2000: 150-153 - [c9]Lan Wang, Ke Chen, Huisheng Chi:
Optimal fusion of diverse feature sets for speaker identification: an alternative method. INTERSPEECH 2000: 294-297 - [c8]Jun-Hui Liu, Ke Chen:
Pruning abnormal data for better making a decision in speaker verification. INTERSPEECH 2000: 1005-1008
1990 – 1999
- 1999
- [j13]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) - [j12]Ke Chen, Lei Xu, Huisheng Chi:
Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks 12(9): 1229-1252 (1999) - [c7]Ke Chen, DeLiang L. Wang:
Image segmentation based on a dynamically coupled neural oscillator network. IJCNN 1999: 2653-2658 - [c6]Ke Chen, Huisheng Chi:
On use of different feature sets for pattern classification: an alternative method. IJCNN 1999: 2940-2945 - 1998
- [j11]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) - [j10]Ke Chen:
A connectionist method for pattern classification with diverse features. Pattern Recognit. Lett. 19(7): 545-558 (1998) - [c5]Ke Chen, DeLiang L. Wang:
Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS 1998: 10-16 - 1997
- [j9]Ke Chen, Liping Yang, Xiang Yu, Huisheng Chi:
A self-generating modular neural network architecture for supervised learning. Neurocomputing 16(1): 33-48 (1997) - [j8]Ke Chen, Lan Wang, Huisheng Chi:
Methods of Combining Multiple Classifiers with Different Features and Their Applications to Text-Independent Speaker Identification. Int. J. Pattern Recognit. Artif. Intell. 11(3): 417-445 (1997) - [j7]Ke Chen, Xiang Yu, Huisheng Chi:
Combining Linear Discriminant Functions with Neural Networks for Supervised Learning. Neural Comput. Appl. 6(1): 19-41 (1997) - [j6]Ke Chen, Dahong Xie, Huisheng Chi:
Correction to "A Modified HME Architecture for Text-Dependent Speaker Identification". IEEE Trans. Neural Networks 8(2): 455 (1997) - [c4]Ke Chen, Huisheng Chi:
A modified mixtures of experts architecture for classification with diverse features. ICNN 1997: 215-220 - 1996
- [j5]Ke Chen, Dahong Xie, Huisheng Chi:
Speaker identification using Time-delay Hmes. Int. J. Neural Syst. 7(1): 29-44 (1996) - [j4]Ke Chen, Weiquan Bao, Huisheng Chi:
Speed up training of the recurrent neural network based on constrained optimization techniques. J. Comput. Sci. Technol. 11(6): 581-588 (1996) - [j3]Ke Chen, Dahong Xie, Huisheng Chi:
Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study. Neural Process. Lett. 3(2): 81-89 (1996) - [j2]Ke Chen, Dahong Xie, Huisheng Chi:
A modified HME architecture for text-dependent speaker identification. IEEE Trans. Neural Networks 7(5): 1309-1313 (1996) - [c3]Ke Chen, Dahong Xie, Huisheng Chi:
Combine multiple time-delay HMEs for speaker identification. ICNN 1996: 2015-2020 - 1995
- [j1]Ke Chen, Masumi Ishikawa:
A parallel voting scheme for aspect recovery. J. Comput. Sci. Technol. 10(5): 385-402 (1995) - [c2]Ke Chen, Dahong Xie, Huisheng Chi:
Speaker identification based on the time-delay hierarchical mixture of experts. ICNN 1995: 2062-2066 - 1990
- [c1]Huasheng Chen, Ke Chen:
A Model-Directed Image Understanding System for Computer Vision. IEA/AIE (Vol. 1) 1990: 191-195
Coauthor Index
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