Admin Login
Username:

Password:

Edited Book


Book Chapter


Journal Article


Conference Paper

  • Zhou H. and Chen K. (2019): Transferable positive/negative speech emotion recognition via class-wise adversarial domain adaptation. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP'19), Brighton, U.K.
  • Woof W. and Chen K. (2018): Learning to play general video-games via an object embedding network. In Proceedings of IEEE Computational Intelligence and Games Conference (IEEE CIG'18), Maastricht, The Netherlands.
  • Wang Q. and Chen K. (2017): Alternative semantic representations for zero-shot human action recognition. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2017), Skopje, Macedonia.
  • Zennaro F. and Chen K. (2016): Covariate shift adaptation via sparse filtering for high-dimensional periodic data. In NIPS Workshop on Learning in High Dimension with Structure, Barcelona, Spain.
  • Shi P. and Chen K. (2016): Online level generation in Super Mario Bros via learning constructive primitives. In Proceedings of IEEE Computational Intelligence and Games Conference (IEEE CIG'16), Santorini, Greece.
  • Parkinson J., Sandouk U., and Chen K. (2016): Exploring a mixed representation for encoding temporal coherence. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016), Riva del Garda, Italy.
  • Teh P.S., Zhang N., Teoh A., and Chen K. (2015): Recognizing your touch: Towards strengthening mobile device authentication via touch dynamics integration. Proceedings of the 13th International Conference on Advances in Mobile Computing & Multimedia (MoMM2015). Brussels, Belgium: ACM. 
  • Buckley D., Chen K. and Knowles J. (2013): Predicting skill from player input in a first-person shooter. Proceedings of IEEE Conference on Computational Intelligence and Games (CIG'13), Niagara Falls, ON, Canada
  • Madl T., Franklin S., Chen K. and Trappl R. (2013): Spatial working memory in the LIDA cognitive architecture. Proceedings of International Conference on Cognitive Modeling (ICCM'13), Ottawa, Canada
  • Chen K. and Salman A. (2011): Extracting speaker-specific information with a regularized Siamese deep network. In Advances in Neural Information Processing Systems 25 (NIPS'11), pp. 298--306, MIT Press.
  • Salman A. and Chen K. (2011): Exploring speaker-specific characteristics with deep learning. Proceedings of International Joint Conference on Neural Networks (IJCNN'11), San Jose, U.S.A.
  • Shaukat A. and Chen K. (2011): Emotional speech recognition via soft-competition on different acoustic representations. Proceedings of International Joint Conference on Neural Networks (IJCNN'11), San Jose, U.S.A.
  • Hau D. and Chen K. (2011): Exploring hierarchical speech representations with a deep convolutional neural network. Proceedings of United Kingdom Annual Workshop on Computational Intelligence (UKCI'11), Manchester, U.K.
  • Yang Y. and Chen K. (2010): Unsupervised learning via an iteratively constructed clustering ensemble. Proceedings of International Joint Conference on Neural Networks (IJCNN'10), Barcelona, Spain.
  • Shaukat A. and Chen K. (2008): Towards automatic emotional state categorization from speech signals. Proceedings of INTERSPEECH, Brisbane, Australia.
  • Chen K. and Wang S.H. (2007): Regularized boost for semi-supervised learning. In Advances in Neural Information Processing Systems 21 (NIPS'07), pp. 281-288, MIT Press.
  • Wang S.H. and Chen K. (2007): Ensemble learning with active data selection for semi-supervised pattern classification. Proceedings of IEEE-INNS International Joint Conference on Neural Networks (IJCNN'07), pp. 355-360, Orlando, U.S.A.
  • Yang Y. and Chen K. (2006): An ensemble of competitive learning learning networks with different representations for temporal data clustering. Proceedings of International Joint Conference on Neural Networks (IJCNN'06), pp. 5759-5766, Vancouver, Canada.
  • Chen K. (2005): Boosting input/output hidden Markov models for sequence classification. Proceedings of International Conference on Natural Computation (ICNC'05), pp. 656-665, Changsha, China. (LNCS 3611, Springer)
  • Chen K. (2004): Speaker modeling with various speech representations. Proceedings of International Conference on Biometric Authentication (ICBA'04), pp. 592-599, Hong Kong, China. (LNCS 3072, Springer)
  • Chen K. and Yeung S. (2004): Personalized news reading via hybrid learning. Proceedings of International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), pp. 607-612, Exeter, U.K. (LNCS 3177, Springer)
  • Luo D.S. and Chen K. (2003): Refine decision boundaries of a statistical ensemble by active learning. Proceedings of International Joint Conference on Neural Networks (IJCNN'03), pp. 1523-1528, Portland, U.S.A.
  • Luo D.S. and Chen K. (2003): On generalization of statistical ensemble learning on mismatch conditions: An empirical study. Proceedings of International Conference on Neural Information Processing (ICONIP'03), Istanbul, Turkey.
  • Wu T.Y., Lu L., Chen K., Zhang H.J. (2003): UBM-based real-time speaker segmentation for broadcasting news. Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), pp. II193-II196, Hong Kong, China.
  • Wu T.Y., Lu L., Chen K., Zhang H.J. (2003): Universal background models for real-time speaker change detection. Proceedings of International Conference on Multi-Media Modeling (MMM'03), Taiwan.
  • Wu T.Y., Lu L., Chen K., Zhang H.J. (2003): Incremental speaker adaptation based on universal background model and its applications on speaker segmentation. Proceedings of International Conference on MultiMedia & Expo (ICME'03), U.S.A.
  • Li X.L. and Chen K. (2002): Mandarin verbal information verification. Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP'02), pp. I833-I836, Orlando, U.S.A.
  • Luo D.S. and Chen K. (2002): A comparative study of statistical ensemble methods on mismatch conditions. Proceedings of World Congress on Computational Intelligence - International Joint Conference on Neural Networks (WCCI'02-IJCNN'02), pp. 59-64, Honolulu, U.S.A.
  • Luo D.S. and Chen K. (2002): On the use of statistical ensemble methods for telephone-line speaker identification. Proceedings of IEEE International Conference on Communications, Circuits and Systems (ICCCAS'02), pp. II904-II908, Chengdu, China.
  • Chen K., Wang D.L., and Liu X.W. (2001): Image segmentation by weight adaptation and oscillatory correlation. Proceedings of International Conference on Neural Information Processing (ICONIP'2001), pp. 267-272, Shanghai, China. (Invited Paper)
  • Wu T.Y. and Chen K. (2001): On the use of nearest feature line for speaker identification. Proceedings of International Conference on Neural Information Processing (ICONIP'2001), pp. 1697-1702, Shanghai, China.
  • Wang L., Chen K., and Chi H.S. (2001): Towards better capturing inter-speaker information by active learning for speaker identification. Proceedings of International Joint Conference on Neural Networks (IJCNN'2001), pp. 2985-2990, Washington D.C., U.S.A.
  • Meng H., Chan S.F., Wong Y.F., Chan C.C., Wong Y.W., Fung T.Y., Tsui W.C., Chen K., Wang L., Wu T.Y., li X.L., Lee T., Choi W.N., Ching P.C., and Chi H.S. (2001): ISIS: A learning system with combined interaction and delegation dialogs. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech), Vol.3, pp.1551 - 1554, Aalborg, Denmark.
  • Cao Y.H., Zhao H.L., and Chen K. (2001): Methodologies of distance invigilation to support distance education. Proceedings of World Congress on Educational Multimedia, Hypermedia, and Telecommunication (ED-MEDIA'2001), Tampere, Finland.
  • Liu J.H. and Chen K. (2000): Pruning abnormal data for better making a decision in speaker verification. Proceedings of International Conference on Spoken Language Processing (ICSLP'2000), pp. III1005-III1008, Beijing, China.
  • Wang L., Chen K., and Chi H.S. (2000): Optimal fusion of diverse feature sets for speaker identification: An alternative method. Proceedings of International Conference on Spoken Language Processing (ICSLP'2000), pp. II294-II297, Beijing, China.
  • Meng H., Chan S.F., Wong Y.F., Fung T.Y., Tsui W.C., Lo T.H., Chan C.C., Chen K., Wang L., Wu T.Y., Li X.L., Lee T., Choi W.N., Wong Y.W., Ching P.C., and Chi H.S. (2000): ISIS: A multilingual spoken dialog system developed with CORBA and KQML agents. Proceedings of International Conference on Spoken Language Processing (ICSLP'2000), pp. II150-II153, Beijing, China.
  • Qing X.K. and Chen K. (2000): On use of GMM for multilingual speaker verification: An empirical study. Proceedings of International Symposium on Chinese Spoken Language Processing (ISCSLP'2000), pp. 263-266, Beijing, China.
  • Wang L., Chen K., and Chi H.S. (2000): Capture inter-speaker information by a neural network for speaker identification. Proceedings of International Joint Conference on Neural Networks (IJCNN'2000), pp. V247-V252, Como, Italy.
  • Chen K. and Chi H.S. (1999): On use of different feature sets for pattern classification: An alternative method. Proceedings of International Joint Conference on Neural Networks (IJCNN'99), pp. 2940-2945, Washington D. C., U.S.A.
  • Chen K. and Wang D.L. (1999): Image segmentation based on a dynamically coupled neural oscillator network. International Joint Conference on Neural Networks (IJCNN'99), pp. 2653-2658, Washington D. C., U.S.A.
  • Chen K. and Wang D.L. (1999): Perceiving without learning: from spirals to inside/outside relations. In Advances in Neural Information Processing Systems 11, pp. 10-16, MIT Press.
  • Bao W.Q., Chen K., and Chi H.S. (1998): An HMM/MFNN hybrid architecture based on stacked generalization for speaker identification, Proceedings of IEEE World Congress on Computational Intelligence -- International Joint Conference on Neural Networks (WCCI'98-IJCNN'98), pp. 367-371, Anchorage, Alaska, U.S.A.
  • Chen K. and Wang D.L. (1998): Perceiving spirals and inside/outside relations by a neural oscillator network. Proceedings of IEEE World Congress on Computational Intelligence -- International Joint Conference on Neural Networks (WCCI'98-IJCNN'98), pp. 619-624, Anchorage, Alaska, U.S.A.
  • Wang L., Chen K., and Chi H.S. (1997): Methods of linear combination with different features. Proceedings of International Conference on Neural Information Processing (ICONIP-97), pp. 1088-1091, Springer-Velag, Dunedin/Queenstown, New Zealand.
  • Chen K. and Chi H.S. (1997): A modified mixtures of experts architecture for classification with diverse features. Proceedings of IEEE International Conference on Neural Networks (ICNN-97), pp. 215-220, Houston, U.S.A.
  • Chen K. and Chi H.S. (1996): A method of combining multiple classifiers with different features. Proceedings of International Conference on Neural Information Processing (ICONIP-96), pp. 1349-1354. (invited paper)
  • Chen K., Yu X., and Chi H.S. (1996): Text-dependent speaker identification based on the modular tree: an empirical study. Proceedings of International Conference on Neural Information Processing (ICONIP-96), pp. 294-299, Springer-Verlag, Hong Kong.
  • Chen K., Yu X., and Chi H.S. (1996): Classification by combining Fisher's linear discriminant with neural networks. Proceedings of Proceeding of World Congress on Neural Networks (WCNN-96), pp. 395-398, Elbaum, San Diego, U.S.A.
  • Wang L., Chen K., and Chi H.S. (1996): Text-independent speaker identification by combining classifiers with different features. Proceedings of Proceeding of World Congress on Neural Networks (WCNN-96), pp. 59-62, Elbaum, San Diego, U.S.A.
  • Chen K., Xie D.H., and Chi H.S. (1996): Speaker identification based on input/output HMMs. Proceeding of World Congress on Neural Networks (WCNN-96), pp. 37-40, San Diego, U.S.A.
  • Chen K., Xie D.H., and Chi H.S. (1996): Combine multiple time-delay HMEs for speaker identification. Proceedings of IEEE International Conference on Neural Networks (ICNN-96), pp. 2015-2020, Washington D.C., U.S.A.
  • Wu Z.Q., Chen K., Xiang B. and Chi H.S. (1995): A novel feature based on perceptual knowledge for speaker recognition. Proceedings of Proceedings of IEEE International Conference on Neural Networks and Signal Processing (ICNNSP-95), pp. I804-I807.
  • Chen K., Bao W.Q., and Chi H.S. (1995): Speed up training of the recurrent neural networks using constrained optimization techniques. Proceedings of IEEE International Conference on Neural Networks and Signal Processing (ICNNSP-95), pp. I132-I135, Nanjing, China.
  • Chen K., Xie D.H., and Chi H.S. (1995): Speaker identification based on the time-delay hierarchical mixture of experts. Proceedings of IEEE International Conference on Neural Networks (ICNN-95), pp. 2062-2066, Perth, Australia.
  • Chen K., Yang L.P., Yu X., and Chi H.S. (1995): A self-architecture modular neural network. Proceedings of Proceedings of International Conference on Neural Information Processing (ICONIP-95), pp. II821-II824.
  • Chen K., Xie D.H., and Chi H.S. (1995): Speaker identification using temporal HME. Proceedings of International Conference on Neural Information Processing (ICONIP-95), pp. II865-II868, Beijing, China.
  • Chen K., Xie D.H., and Chi H.S. (1995): Speaker identification based on hierarchical mixture of experts. Proceedings of World Congress on Neural Networks (WCNN-95), pp. I493-I496, Elbaum, Washington D.C, U.S.A.
  • Szu H.H., Zhong S., Xu, L., Shi Q.Y., Cheng M.T., Chen K., Chi H.S., Li C. (1995): Multiresolution wavelet techniques for noisy inverse-sensing problems. Proceedings of SPIE - The International Society for Optical Engineering, v 2491/1, pp. 481-489, Seattle, U.S.A.
  • Chen K. and Ishikawa M. (1993): 3-D shape recovery by incorporating context--a connectionist approach. Proceedings of International Joint Conference of Neural Networks (IJCNN-93), pp. 1180-1183, Nagoya, Japan.
  • Chen K. and Ishikawa M. (1993): A connectionist approach to subgraph isomorphism in attributed graphs. Proceeding of Japanese Symposium on Neural Networks, pp. 115-116, Iizuka, Japan.
  • Chen K. (1992): A novel model of linear associative memory. In D.W. Ruck (ed.) Science of Artificial Neural Networks, SPIE Proceedings 1710, pp. 650-657.
  • Chen K. (1992): A novel associative-memory based self-learning neurocontrol Model. In: S.K. Rogers (ed.), Applications of Artificial Neural Networks, SPIE Proceedings 1709, pp. 616-623.
  • Chen K., Yu T., and Yan P.F. (1991): A novel model of associative memory with biorthogonal properties. Proceedings of International Joint Conference of Neural Networks (IJCNN-91), pp. 42-48. Singapore.
  • Chen K. (1991): 3-D inference from 2-D image features in the perceptual-organization based computational visual model. Proceedings of International Symposium for Young Computer Scientists, pp. 552-560, Beijing, China.
  • Chen K. and Li Z.R. (1990): Object models development tool to support image understanding system. Proceedings of Graphics Interface, pp. 239-243, Halifax, Canada.
  • Chen H.S. and Chen K. (1990): A model-directed image understanding system. Proceedings of The Third International Conference on Industrial and Engineering Applications of AI and Expert Systems, pp. 183-189, Charleston, U.S.A.
  • Chen K. (1989): Support expert systems using fuzzy logic programming. Proceedings of International Symposium for Young Computer Professionals, pp. 258-264, Beijing, China.
  • Chen K. and Li Z.R. (1989): Image understanding based on RBC theory. In Proceedings of The Third Pan Pacific Computer Conference, pp. 541-547, Beijing, China.

On-line Publication


Technical Report

  • Zhou H. and Chen K. (2018): Transferable positive/negative speech emotion recognition via class-wise adversarial domain adaptation. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1810.12782).
  • Woof W. and Chen K. (2018): Learning to play general video-games via an object embedding network. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1803.05262).
  • Wang Q. and Chen K. (2017): Multi-label zero-shot human action recognition via joint latent ranking embedding. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1706.09317).
  • Wang Q. and Chen K. (2017): Alternative semantic representations for zero-shot human action recognition. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1706.09317).
  • Rosyid H., Palmerlee M. and Chen K. (2016): Deploying learning materials to game content for serious education game development: A case study. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1608.01611).
  • Zennaro F.M. and Chen K. (2016): On covariate shift adaptation via sparse filtering. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1607.06781).
  • Wang Q. and Chen K. (2016): Zero-shot visual recognition via bidirectional latent embedding. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1607.02104).
  • Sandouk U. and Chen K. (2016): Multi-label zero-shot learning via concept embedding. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1606.00282).
  • Zennaro F.M. and Chen K. (2016): Towards understanding sparse filtering: A theoretical perspective. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1603.08831).
  • Shi P. and Chen K. (2015): Learning constructive primitives for online level generation and real-time content adaptation in Super Mario Bros. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv:1510.07889).
  • Sandouk U. and Chen K. (2015): Learning contextualized semantics from co-occurring terms via a Siamese architecture. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1506.05514).
  • Sandouk U. and Chen K. (2015): Learning contextualized music semantics from tags via a Siamese network. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1504.07968).
  • Buckley D., Chen K. and Knowles J. (2014): Rapid skill capture in a first-person shooter. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1411.1316).
  • Madl T., Chen K., Montaldi D., and Trappl R. (2014): Computational cognitive models of spatial memory: A review. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Roberts J. and Chen K. (2013): Learning-based procedural content generation. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. (The technical report is available from arXiv 1308.6415, and the prototype is available from LBPCG-Quake.)
  • Salman A. and Chen K. (2012): Extracting speaker-specific information with a deep neural architecture. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Chen K. and Salman A. (2010): Learning speaker-specific characteristics with a deep neural architecture. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Shaukat A. and Chen K. (2009): Towards discovering language-independent emotional acoustic features via feature selection. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. Available from arXiv 1009.0117
  • Shaukat A. and Chen K. (2009): Emotional state categorization from speech: human vs. machine. Technical Report, School of Computer Science, The University of Manchester, United Kingdom. Available from arXiv 1009.0108
  • Chen K. and S.H. Wang (2008): Semi-supervised learning via regularized boosting working on semi-supervised assumptions. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Yang Y. and Chen K. (2008): Temporal data clustering via weighted clustering ensemble networks with different representations. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Yang Y. and Chen K. (2007): Temporal data clustering via RPCL ensemble networks with different representations. Technical Report, School of Computer Science, The University of Manchester, United Kingdom.
  • Chen K. (2003): Adaptive smoothing via contextual and local discontinuities. Technical Report, School of Computer Science, The University of Birmingham, United Kingdom.
  • Chen K. (2003): On the use of different speech representations for speaker recognition: An alternative approach. Technical Report, School of Computer Science, The University of Birmingham, United Kingdom.
  • Chen K. (2002): Personalise mobile access by speaker authentication. Technical Report, School of Computer Science, The University of Birmingham, United Kingdom.
  • Chen K. (2001): Towards better making a decision in speaker verification. Technical Report, School of Computer Science, The University of Birmingham, United Kingdom.
  • Chen K. (1999): A feature-perserving adaptive smoothing approach for early vision, Technical Report , National Laboratory of Machine Perception and The Center for Information Science, Peking University, Beijing, China.


This page was last updated at 02:13pm, April 17th, 2019.