Ke Chen

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 32

Top Topics

Semantic Representations

Game Development

Reinforcement Learning

Action Recognition

Top Venues

Neural Networks

IEEE Trans. Comput. Intell. AI Games

Publications

Lisheng Wu, Ke Chen
Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning. Mach. Learn. 113 (5) (2024)
Yuelong Xia, Ke Chen, Yun Yang
Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. 557 (2021)
Maksymilian Wojtas, Ke Chen
Feature Importance Ranking for Deep Learning. NeurIPS (2020)
William Woof, Ke Chen
A Framework for End-to-End Learning on Semantic Tree-Structured Data. CoRR (2020)
Qian Wang, Ke Chen
Multi-label zero-shot human action recognition via joint latent ranking embedding. Neural Networks 122 (2020)
Maksymilian Wojtas, Ke Chen
Feature Importance Ranking for Deep Learning. CoRR (2020)
Hao Zhou, Ke Chen
Transferable Positive/negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. ICASSP (2019)
Ke Chen
Learning-Based Video Game Development in MLP@UoM: An Overview. CoRR (2019)
Fabio Massimo Zennaro, Ke Chen
Towards Further Understanding of Sparse Filtering via Information Bottleneck. CoRR (2019)
Fabio Massimo Zennaro, Ke Chen
Towards understanding sparse filtering: A theoretical perspective. Neural Networks 98 (2018)
Harits Ar Rosyid, Matt Palmerlee, Ke Chen
Deploying learning materials to game content for serious education game development: A case study. Entertain. Comput. 26 (2018)
William Woof, Ke Chen
Learning to Play General Video-Games via an Object Embedding Network. CoRR (2018)
William Woof, Ke Chen
Learning to Play General Video-Games via an Object Embedding Network. CIG (2018)
Tamas Madl, Stan Franklin, Ke Chen, Robert Trappl
A computational cognitive framework of spatial memory in brains and robots. Cogn. Syst. Res. 47 (2018)
Peizhi Shi, Ke Chen
Learning Constructive Primitives for Real-Time Dynamic Difficulty Adjustment in Super Mario Bros. IEEE Trans. Games 10 (2) (2018)
Hao Zhou, Ke Chen
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. CoRR (2018)
Ubai Sandouk, Ke Chen
Learning Contextualized Music Semantics from Tags Via a Siamese Neural Network. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
David Buckley, Ke Chen, Joshua D. Knowles
Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games 9 (1) (2017)
Qian Wang, Ke Chen
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding. CoRR (2017)
Qian Wang, Ke Chen
Alternative Semantic Representations for Zero-Shot Human Action Recognition. CoRR (2017)
Qian Wang, Ke Chen
Zero-Shot Visual Recognition via Bidirectional Latent Embedding. Int. J. Comput. Vis. 124 (3) (2017)
Qian Wang, Ke Chen
Alternative Semantic Representations for Zero-Shot Human Action Recognition. ECML/PKDD (1) (2017)
Fabio Massimo Zennaro, Ke Chen
Towards Understanding Sparse Filtering: A Theoretical Perspective. CoRR (2016)
Ubai Sandouk, Ke Chen
Multi-Label Zero-Shot Learning via Concept Embedding. CoRR (2016)
Jon Parkinson, Ubai Sandouk, Ke Chen
Exploring a Mixed Representation for Encoding Temporal Coherence. ECML/PKDD (2) (2016)
Peizhi Shi, Ke Chen
Online level generation in Super Mario Bros via learning constructive primitives. CIG (2016)
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) (2016)
Qian Wang, Ke Chen
Zero-Shot Visual Recognition via Bidirectional Latent Embedding. CoRR (2016)
Ubai Sandouk, Ke Chen
Learning contextualized semantics from co-occurring terms via a Siamese architecture. Neural Networks 76 (2016)
Fabio Massimo Zennaro, Ke Chen
On Covariate Shift Adaptation via Sparse Filtering. CoRR (2016)
Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen
A survey on touch dynamics authentication in mobile devices. Comput. Secur. 59 (2016)
Harits Ar Rosyid, Matt Palmerlee, Ke Chen
Deploying learning materials to game content for serious education game development: A case study. CoRR (2016)
Ubai Sandouk, Ke Chen
Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture. CoRR (2015)
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)
Tamas Madl, Ke Chen, Daniela Montaldi, Robert Trappl
Computational cognitive models of spatial memory in navigation space: A review. Neural Networks 65 (2015)
Peizhi Shi, Ke Chen
Learning Constructive Primitives for Online Level Generation and Real-time Content Adaptation in Super Mario Bros. CoRR (2015)
Jonathan Roberts, Ke Chen
Learning-Based Procedural Content Generation. IEEE Trans. Comput. Intell. AI Games 7 (1) (2015)
Ubai Sandouk, Ke Chen
Learning Contextualized Music Semantics from Tags via a Siamese Network. CoRR (2015)
David Buckley, Ke Chen, Joshua D. Knowles
Rapid Skill Capture in a First-Person Shooter. CoRR (2014)
David Buckley, Ke Chen, Joshua D. Knowles
Predicting skill from gameplay input to a first-person shooter. CIG (2013)
Jonathan Roberts, Ke Chen
Learning-Based Procedural Content Generation. CoRR (2013)
Ahmad Salman, Ke Chen
Exploring speaker-specific characteristics with deep learning. IJCNN (2011)
Yun Yang, Ke Chen
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Yun Yang, Ke Chen
Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C 41 (2) (2011)
Ke Chen, Ahmad Salman
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network. NIPS (2011)
Ke Chen, Ahmad Salman
Learning Speaker-Specific Characteristics With a Deep Neural Architecture. IEEE Trans. Neural Networks 22 (11) (2011)
Arslan Shaukat, Ke Chen
Emotional state recognition from speech via soft-competition on different acoustic representations. IJCNN (2011)
Ke Chen, Shihai Wang
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. 33 (1) (2011)
Yun Yang, Ke Chen
Unsupervised learning via iteratively constructed clustering ensemble. IJCNN (2010)
Arslan Shaukat, Ke Chen
Exploring Language-Independent Emotional Acoustic Features via Feature Selection CoRR (2010)
Arslan Shaukat, Ke Chen
Emotional State Categorization from Speech: Machine vs. Human CoRR (2010)
Ke Chen
Erratum to "Adaptive Smoothing via Contextual and Local Discontinuities". IEEE Trans. Pattern Anal. Mach. Intell. 30 (10) (2008)
Arslan Shaukat, Ke Chen
Towards automatic emotional state categorization from speech signals. INTERSPEECH (2008)
Shihai Wang, Ke Chen
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN (2007)
Ke Chen, Shihai Wang
Regularized Boost for Semi-Supervised Learning. NIPS (2007)
Yun Yang, Ke Chen
An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN (2006)
Ke Chen
Boosting Input/Output Hidden Markov Models for Sequence Classification. ICNC (2) (2005)
Ke Chen
Adaptive Smoothing via Contextual and Local Discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. 27 (10) (2005)
Ke Chen
On the use of different speech representations for speaker modeling. IEEE Trans. Syst. Man Cybern. Part C 35 (3) (2005)
Ke Chen, Sunny Yeung
Personalized News Reading via Hybrid Learning. IDEAL (2004)
Ke Chen
Speaker Modeling with Various Speech Representations. ICBA (2004)
Ting-Yao Wu, Lie Lu, Ke Chen, HongJiang Zhang
Universal Background Models for Real-time Speaker Change Detection. MMM (2003)
Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang
UBM-based incremental speaker adaptation. ICME (2003)
Ke Chen
Towards better making a decision in speaker verification. Pattern Recognit. 36 (2) (2003)
Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang
UBM-based real-time speaker segmentation for broadcasting news. ICASSP (2) (2003)
Ke Chen, Ting-Yao Wu, HongJiang Zhang
On the use of nearest feature line for speaker identification. Pattern Recognit. Lett. 23 (14) (2002)
Ke Chen, DeLiang L. Wang
A dynamically coupled neural oscillator network for image segmentation. Neural Networks 15 (3) (2002)
Xiaolong Li, Ke Chen
Mandarin verbal information verification. ICASSP (2002)
Lan Wang, Ke Chen, Huisheng Chi
Capture interspeaker information with a neural network for speaker identification. IEEE Trans. Neural Networks 13 (2) (2002)
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)
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) (2001)
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) (2001)
Ke Chen, DeLiang Wang
Perceiving geometric patterns: from spirals to inside-outside relations. IEEE Trans. Neural Networks 12 (5) (2001)
Lan Wang, Ke Chen, Huisheng Chi
Capture Inter-Speaker Information with a Neural Network for Speaker Identification. IJCNN (5) (2000)
Jun-Hui Liu, Ke Chen
Pruning abnormal data for better making a decision in speaker verification. INTERSPEECH (2000)
Lan Wang, Ke Chen, Huisheng Chi
Optimal fusion of diverse feature sets for speaker identification: an alternative method. INTERSPEECH (2000)
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)
Ke Chen, DeLiang L. Wang, Xiuwen Liu
Weight adaptation and oscillatory correlation for image segmentation. IEEE Trans. Neural Networks Learn. Syst. 11 (5) (2000)
Ke Chen, DeLiang L. Wang
Image segmentation based on a dynamically coupled neural oscillator network. IJCNN (1999)
Ke Chen, Huisheng Chi
A Modular Neural Network Architecture for Pattern Classification Based on Different Feature Sets. Int. J. Neural Syst. 9 (6) (1999)
Ke Chen, Huisheng Chi
On use of different feature sets for pattern classification: an alternative method. IJCNN (1999)
Ke Chen, Lei Xu, Huisheng Chi
Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks 12 (9) (1999)
Ke Chen, DeLiang L. Wang
Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS (1998)
Ke Chen, Huisheng Chi
A method of combining multiple probabilistic classifiers through soft competition on different feature sets. Neurocomputing 20 (1-3) (1998)
Ke Chen
A connectionist method for pattern classification with diverse features. Pattern Recognit. Lett. 19 (7) (1998)
Ke Chen, Liping Yang, Xiang Yu, Huisheng Chi
A self-generating modular neural network architecture for supervised learning. Neurocomputing 16 (1) (1997)
Ke Chen, Dahong Xie, Huisheng Chi
Correction to "A Modified HME Architecture for Text-Dependent Speaker Identification". IEEE Trans. Neural Networks 8 (2) (1997)
Ke Chen, Xiang Yu, Huisheng Chi
Combining Linear Discriminant Functions with Neural Networks for Supervised Learning. Neural Comput. Appl. 6 (1) (1997)
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) (1997)
Ke Chen, Huisheng Chi
A modified mixtures of experts architecture for classification with diverse features. ICNN (1997)
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) (1996)
Ke Chen, Dahong Xie, Huisheng Chi
Combine multiple time-delay HMEs for speaker identification. ICNN (1996)
Ke Chen, Dahong Xie, Huisheng Chi
Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study. Neural Process. Lett. 3 (2) (1996)
Ke Chen, Dahong Xie, Huisheng Chi
A modified HME architecture for text-dependent speaker identification. IEEE Trans. Neural Networks 7 (5) (1996)
Ke Chen, Dahong Xie, Huisheng Chi
Speaker identification using Time-delay Hmes. Int. J. Neural Syst. 7 (1) (1996)
Ke Chen, Dahong Xie, Huisheng Chi
Speaker identification based on the time-delay hierarchical mixture of experts. ICNN (1995)
Ke Chen, Masumi Ishikawa
A parallel voting scheme for aspect recovery. J. Comput. Sci. Technol. 10 (5) (1995)
Huasheng Chen, Ke Chen
A Model-Directed Image Understanding System for Computer Vision. IEA/AIE (Vol. 1) (1990)