Partial Publication List

• Yi Zhen and Dit-Yan Yeung. A probabilistic model for multimodal hash function learning. To appear in Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Beijing, China, 12-16 August 2012.

• Yu Zhang and Dit-Yan Yeung. Overlapping community detection via bounded non-negative matrix tri-factorization. To appear in Proceedings of the Eighteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Beijing, China, 12-16 August 2012.

• Wu-Jun Li and Dit-Yan Yeung. Sparse probabilistic relational projection. To appear in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Toronto, Ontario, Canada, 22-26 July 2012.

• Yu Zhang, Dit-Yan Yeung, and Eric P. Xing. Supervised probabilistic robust embedding with sparse noise. To appear in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Toronto, Ontario, Canada, 22-26 July 2012.

• Yu Zhang and Dit-Yan Yeung. Discriminative experimental design. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.585-596, Athens, Greece, 5-9 September 2011. (DOI link)

• Yu Zhang and Dit-Yan Yeung. Multi-task learning in heterogeneous feature spaces. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), pp.574-579, San Francisco, California, USA, 7-11 August 2011. (PDF)

• Wu-Jun Li and Dit-Yan Yeung. Social relations model for collaborative filtering. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), pp.803-808, San Francisco, California, USA, 7-11 August 2011. (PDF)

• Wu-Jun Li, Dit-Yan Yeung, and Zhihua Zhang. Generalized latent factor models for social network analysis. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), pp.1705-1710, Barcelona, Spain, 16-22 July 2011. (PDF)

• Emprise Y.K. Chan and Dit-Yan Yeung. A convex formulation of modularity maximization for community detection. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), pp.2218-2225, Barcelona, Spain, 16-22 July 2011. (PDF)

• Yu Zhang, Dit-Yan Yeung, and Qian Xu. Probabilistic multi-task feature selection. Advances in Neural Information Processing Systems 23, J. Lafferty, C.K.I. Williams, J. Shawe-Taylor, R.S. Zemel & A. Culotta (eds.), pp.2559-2567, 2010. (Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 6-11 December 2010.) (PDF)

• Yu Zhang and Dit-Yan Yeung. Worst-case linear discriminant analysis. Advances in Neural Information Processing Systems 23, J. Lafferty, C.K.I. Williams, J. Shawe-Taylor, R.S. Zemel & A. Culotta (eds.), pp.2568-2576, 2010. (Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 6-11 December 2010.) (PDF)

• Yu Zhang and Dit-Yan Yeung. Transfer metric learning by learning task relationships. Proceedings of the Sixteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp.1199-1207, Washington, DC, USA, 25-28 July 2010. (PDF)

• Yi Zhen and Dit-Yan Yeung. SED: Supervised experimental design and its application to text classification. Proceedings of the Thirty-Third Annual ACM SIGIR Conference (SIGIR), pp.299-306, Geneva, Switzerland, 19-23 July 2010. (PDF)

• Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, and Xinwen Hou. Transductive learning on adaptive graphs. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.661-666, Atlanta, Georgia, USA, 11-15 July 2010. (PDF)

• Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, and Cheng-Lin Liu. Gaussian process latent random field. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.679-684, Atlanta, Georgia, USA, 11-15 July 2010. (PDF)

• Bin Cao, Sinno Pan, Yu Zhang, Dit-Yan Yeung, and Qiang Yang. Adaptive transfer learning. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.407-412, Atlanta, Georgia, USA, 11-15 July 2010. (PDF)

• Yu Zhang and Dit-Yan Yeung. A convex formulation for learning task relationships in multi-task learning. Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, USA, 8-11 July 2010. (PDF) (Best Paper Award)

• Yu Zhang, Bin Cao, and Dit-Yan Yeung. Multi-domain collaborative filtering. Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, USA, 8-11 July 2010. (PDF)

• Yu Zhang and Dit-Yan Yeung. Multi-task warped Gaussian process for personalized age estimation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.2622-2629, San Francisco, California, USA, 13-18 June 2010. (PDF)

• Yu Zhang and Dit-Yan Yeung. Multi-task learning using generalized t process. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 9, pp.964-971, Sardinia, Italy, 13-15 May 2010. (PDF)

• Wu-Jun Li, Dit-Yan Yeung, and Zhihua Zhang. Probabilistic relational PCA. Advances in Neural Information Processing Systems 22, Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams & A. Culotta (eds.), pp.1123-1131, 2009. (Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 7-12 December 2009.) (PDF; MATLAB code)

• Yi Zhen, Wu-Jun Li, and Dit-Yan Yeung. TagiCoFi: Tag informed collaborative filtering. Proceedings of the Third ACM Conference on Recommender Systems (RecSys), pp.69-76, New York City, New York, USA, 22-25 October 2009. (PDF)

• Yu Zhang and Dit-Yan Yeung. Semi-supervised multi-task regression. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.617-631, Bled, Slovenia, 7-11 September 2009. (DOI link)

• Yu Zhang and Dit-Yan Yeung. Heteroscedastic probabilistic linear discriminant analysis with semi-supervised extension. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.602-616, Bled, Slovenia, 7-11 September 2009. (DOI link)

• Wu-Jun Li and Dit-Yan Yeung. Relation regularized matrix factorization. Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI), pp.1126-1131, Pasadena, California, USA, 11-17 July 2009. (PDF; MATLAB code; data)

• Wu-Jun Li and Dit-Yan Yeung. Localized content-based image retrieval through evidence region identification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.1666-1673, Miami Beach, Florida, USA, 20-25 June 2009. (PDF; MATLAB code; SIVAL data set; COREL data set)

• Wu-Jun Li, Zhihua Zhang, and Dit-Yan Yeung. Latent Wishart processes for relational kernel learning. Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 5, pp.336-343, Clearwater Beach, Florida, USA, 16-18 April 2009. (PDF; MATLAB code; data)

• Zhihua Zhang, Michael Jordan, Wu-Jun Li, and Dit-Yan Yeung. Coherence functions for multicategory margin-based classification methods. Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 5, pp.647-654, Clearwater Beach, Florida, USA, 16-18 April 2009. (PDF)

• Zhihua Zhang, Michael Jordan, and Dit-Yan Yeung. Posterior consistency of the Silverman g-prior in Bayesian model choice. In Advances in Neural Information Processing Systems 21, D. Koller, D. Schuurmans, Y. Bengio & L. Bottou (eds.), pp.1969-1976, 2009. (Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 8-11 December 2008.) (PDF)

• Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, and Long Quan. Learning two-view stereo matching. Proceedings of the Tenth European Conference on Computer Vision (ECCV), pp.15-27, Marseille, France, 12-18 October 2008. (DOI link)

• Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, and Long Quan. Structuring visual words in 3D for arbitrary-view object localization. Proceedings of the Tenth European Conference on Computer Vision (ECCV), pp.725-737, Marseille, France, 12-18 October 2008. (DOI link)

• Yu Zhang and Dit-Yan Yeung. Semi-supervised discriminant analysis via CCCP. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp.644-659, Antwerp, Belgium, 15-19 September 2008. (PDF; DOI link)

• Yu Zhang and Dit-Yan Yeung. Semi-supervised discriminant analysis using robust path-based similarity. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 23-28 June 2008. (PDF)

• Kui Jia and Dit-Yan Yeung. Human action recognition using local spatio-temporal discriminant embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, 23-28 June 2008. (PDF)

• Hong Chang and Dit-Yan Yeung. Locally smooth metric learning with application to image retrieval. Proceedings of the Eleventh IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 14-20 October 2007. (PDF)

• Ho-Yu Lam and Dit-Yan Yeung. A learning approach to spam detection based on social networks. Proceedings of the Fourth Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA, 2-3 August 2007. (PDF)

• Guang Dai and Dit-Yan Yeung. Kernel selection for semi-supervised kernel machines. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.185-192, Corvallis, Oregon, USA, 20-24 June 2007. (PDF)

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. A kernel path algorithm for support vector machines. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.951-958, Corvallis, Oregon, USA, 20-24 June 2007. (PDF)

• Wei Fan and Dit-Yan Yeung. Image hallucination using neighbor embedding over visual primitive manifolds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, USA, 18-23 June 2007. (PDF)

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. The kernel path in kernelized LASSO. Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 2, pp.580-587, San Juan, Puerto Rico, 21-24 March 2007. (PDF)

• Wei Fan, Tao Wang, Jean Yves Bouguet, Wei Hu, Yimin Zhang, and Dit-Yan Yeung. Semi-supervised cast indexing for feature-length films. Proceedings of the 2007 ACM International MultiMedia Modeling Conference (MMM), pp.625-635, Singapore, 9-12 January 2007. (PDF)

• Dit-Yan Yeung, Hong Chang, and Guang Dai. A scalable kernel-based algorithm for semi-supervised metric learning. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pp.1138-1143, Hyderabad, India, 6-12 January 2007. (PDF)

• Guang Dai and Dit-Yan Yeung. Boosting kernel discriminant analysis and its application to tissue classification of gene expression data. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pp.744-749, Hyderabad, India, 6-12 January 2007. (PDF)

• Gang Wang, Tao Chen, Dit-Yan Yeung, and Frederick H. Lochovsky. Solution path for semi-supervised classification with manifold regularization. Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM), pp.1124-1129, Hong Kong, China, 18-22 December 2006. (PDF)

• Jian Xia, Dit-Yan Yeung, and Guang Dai. Local discriminant embedding with tensor representation. Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.929-932, Atlanta, Georgia, USA, 8-11 October 2006. (PDF)

• Shu Liao, Wei Fan, Albert C.S. Chung, and Dit-Yan Yeung. Facial expression recognition using advanced local binary patterns, Tsallis entropies and global appearance features. Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.665-668, Atlanta, Georgia, USA, 8-11 October 2006. (PDF)

• Guang Dai and Dit-Yan Yeung. Tensor embedding methods. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI), pp.330-335, Boston, Massachusetts, USA, 16-20 July 2006. (PDF)

• Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, and Dit-Yan Yeung. A manifold regularization approach to calibration reduction for sensor-network based tracking. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI), pp.988-993, Boston, Massachusetts, USA, 16-20 July 2006. (PDF)

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. Two-dimensional solution path for support vector regression. Proceedings of the Twenty-Third International Conference on Machine Learning (ICML), pp.993-1000, Pittsburgh, Pennsylvania, USA, 25-29 June 2006. (PDF)

• Hong Chang and Dit-Yan Yeung. Graph Laplacian kernels for object classification from a single example. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.2, pp.2011-2016, New York, NY, USA, 17-22 June 2006. (PDF)

• Wei Fan and Dit-Yan Yeung. Locally linear models on face appearance manifolds with application to dual-subspace based classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.2, pp.1384-1390, New York, NY, USA, 17-22 June 2006. (PDF)

• Ho-Yu Lam, Chi-Pan Li, Samuel T. Chanson, and Dit-Yan Yeung. A coordinated detection and response scheme for distributed denial-of-service attacks. Proceedings of the IEEE International Conference on Communications (ICC), Istanbul, Turkey, 11-15 June 2006. (PDF)

• Guang Dai, Dit-Yan Yeung, and Hong Chang. Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion. Proceedings of the Ninth European Conference on Computer Vision (ECCV), pp.308-320, Graz, Austria, 7-13 May 2006. (PDF; DOI link)

• Wei Chen and Dit-Yan Yeung. Defending against TCP SYN flooding attacks under different types of IP spoofing. Proceedings of the Fifth IEEE International Conference on Networking (ICN), Morne, Mauritius, 23-26 April 2006. (PDF)

• Wei Fan and Dit-Yan Yeung. Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds. Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp.177-182, Southampton, UK, 10-12 April 2006. (PDF)

• Hong Chang and Dit-Yan Yeung. Robust path-based spectral clustering with application to image segmentation. Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV), vol.1, pp.278-285, Beijing, China, 15-21 October 2005. (PDF)

• Guang Dai and Dit-Yan Yeung. Nonlinear dimensionality reduction for classification using kernel weighted subspace method. Proceedings of the IEEE International Conference on Image Processing (ICIP), vol.2, pp.838-841, Genoa, Italy, 11-14 September 2005. (PDF)

• Hong Chang and Dit-Yan Yeung. Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance. Proceedings of the Sixteenth British Machine Vision Conference (BMVC), pp.21-29, Oxford, UK, 5-8 September 2005. (PDF)

• Hong Chang and Dit-Yan Yeung. Semi-supervised metric learning by kernel matrix adaptation. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC), pp.3210-3215, Guangzhou, China, 18-21 August 2005. (PDF)

• Zhihua Zhang, Kap Luk Chan, James T. Kwok, and Dit-Yan Yeung. Bayesian inference on principal component analysis using reversible jump Markov chain Monte Carlo. Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI), pp.372-377, San Jose, California, USA, 25-29 July 2004. (PDF)

• Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan George, Ramanujan Kashi, Takashi Matsumoto, and Gerhard Rigoll. SVC2004: First International Signature Verification Competition. Proceedings of the International Conference on Biometric Authentication (ICBA), pp.16-22, Hong Kong, 15-17 July 2004. (PDF)

• Hong Chang and Dit-Yan Yeung. Locally linear metric adaptation for semi-supervised clustering. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.153-160, Banff, Alberta, Canada, 4-8 July 2004. (PDF)

• Zhihua Zhang, Dit-Yan Yeung, and James T. Kwok. Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.935-942, Banff, Alberta, Canada, 4-8 July 2004. (PDF)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pp.927-934, Banff, Alberta, Canada, 4-8 July 2004. (PDF)

• Hong Chang, Dit-Yan Yeung, and Yimin Xiong. Super-resolution through neighbor embedding. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, pp.275-282, Washington, DC, USA, 27 June - 2 July 2004. (PDF; MATLAB code)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Parametric distance metric learning with label information. Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), pp.1450-1452, Acapulco, Mexico, 9-15 August 2003. (PDF) (longer version)

• Yimin Xiong and Dit-Yan Yeung. Mixtures of ARMA models for model-based time series clustering. Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM), pp.717-720, Maebashi City, Japan, 9-12 December 2002. (PS) (longer version)

• Dit-Yan Yeung and Calvin Chow. Parzen-window network intrusion detectors. Proceedings of the Sixteenth International Conference on Pattern Recognition (ICPR), vol.4, pp.385-388, Quebec City, Canada, 11-15 August 2002. (PDF)

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Multi-model approach to non-stationary reinforcement learning. Proceedings of the Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, pp.350-355, Banff, Canada, 17-19 July 2002. (PS)

• Dit-Yan Yeung and Yuxin Ding. User profiling for intrusion detection using dynamic and static behavioral models. In Advances in Knowledge Discovery and Data Mining, M.S. Chen, P.S. Yu & B. Liu (eds.), pp.494-505, Springer, 2002. (Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, 6-8 May 2002.) (PDF)

• Kam-Fai Chan and Dit-Yan Yeung. PenCalc: a novel application of on-line mathematical expression recognition technology. Proceedings of the Sixth International Conference on Document Analysis and Recognition (ICDAR), pp.774-778, Seattle, Washington, USA, 10-13 September 2001. (PS)

• Samuel P.M. Choi, Nevin L. Zhang, and Dit-Yan Yeung. Solving hidden-mode Markov decision problems. Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics (AISTATS), pp.19-26, Key West, Florida, USA, 4-7 January 2001. (PDF)

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. An environment model for nonstationary reinforcement learning. In Advances in Neural Information Processing Systems 12, S.A. Solla, T.K. Leen & K.R. Muller (eds.), pp.987-993, MIT Press, 2000. (Thirteenth Annual Conference on Neural Information Processing Systems (NIPS), Denver, Colorado, USA, 29 November - 4 December 1999.) (PDF)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A bidirectional matching algorithm for deformable pattern detection with application to handwritten word retrieval. Proceedings of the Seventh IEEE International Conference on Computer Vision (ICCV), vol.2, pp.1105-1110, Kerkyra, Greece, 20-27 September 1999. (PDF)

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Hidden-mode Markov decision processes. Proceedings of the IJCAI'99 Workshop on Neural, Symbolic, and Reinforcement Methods for Sequence Learning, Stockholm, Sweden, 1 August 1999. (PDF)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Robust deformable matching for character extraction. Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.179-188, Taejon, Korea, 12-14 August 1998. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters. Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.229-238, Taejon, Korea, 12-14 August 1998. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. Elastic structural matching for on-line handwritten alphanumeric character recognition. Proceedings of the Fourteenth International Conference on Pattern Recognition (ICPR), pp.1508-1511, Brisbane, Australia, 17-20 August 1998. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. Towards efficient structural analysis of mathematical expressions. In Advances in Pattern Recognition, A. Amin, D. Dori, P. Pudil & H. Freeman (eds.), pp.437-444, Springer-Verlag, 1998. (Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, 11-13 August 1998.) (gzip'ed PS)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Recognition of handwritten digits using deformable models. Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp.259-262, Colchester, England, 2-5 September 1996. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Reference priors for neural networks: Laplace versus Gaussian. Proceedings of the International Conference on Neural Information Processing (ICONIP), pp.109-114, Hong Kong, 24-27 September 1996. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Bayesian regularization in constructive neural networks. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.557-562, Bochum, Germany, 16-19 July 1996. (gzip'ed PS)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Competitive mixture of deformable models for pattern classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.613-618, San Francisco, California, USA, 18-20 June 1996. (gzip'ed PS)

• Samuel P.M. Choi and Dit-Yan Yeung. Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control. In Advances in Neural Information Processing Systems 8, D.S. Touretzky, M.C. Mozer & M.E. Hasselmo (eds.), pp.945-951, MIT Press, 1996. (Ninth Annual Conference on Neural Information Processing Systems (NIPS), Denver, Colorado, USA, 28-30 November 1995.) (gzip'ed PS)

• Xiaolin Li and Dit-Yan Yeung. On-line handwritten alphanumeric character recognition using feature sequences. In Image Analysis Applications and Computer Graphics, Roland T. Chin, H.H.S. Ip, A.C. Naiman & T.C. Pong (eds.), pp.197-204, Springer-Verlag, 1995. (Third International Computer Science Conference, ICSC'95, Hong Kong, 11-13 December 1995.) (gzip'ed PS)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A unified framework for handwritten character recognition using deformable models. Proceedings of the Second Asian Conference on Computer Vision (ACCV), pp.344-348, Singapore, 5-8 December 1995. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Efficient cross-validation for feedforward neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.2789-2794, Perth, Western Australia, 27 November - 1 December 1995. (gzip'ed PS)

• Pak-Keung Lai, Man-Chi Pong, and Dit-Yan Yeung. Chinese glyph generation using character composition and beauty evaluation metrics. Proceedings of the International Conference on Computer Processing of Oriental Languages (ICCPOL), pp.92-99, Honolulu, Hawaii, 23-25 November 1995. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.197-202, Paris, France, 9-13 October 1995. (gzip'ed PS)

• Dit-Yan Yeung. A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study. Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR), pp.1069-1073, Montreal, Canada, 14-16 August 1995. (gzip'ed PS)

• H.C. Lau, Kwok-Yip Szeto, K.Y. Michael Wong, and Dit-Yan Yeung. A hybrid expert system for error message classification. Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, pp.339-346, Stockholm, Sweden, 22-24 May 1995.

• Dit-Yan Yeung and Kei-Wai Yeung. ASCOC: A locally recurrent neural network model for grammatical inference. Proceedings of the International Conference on Neural Information Processing (ICONIP), pp.1468-1473, Seoul, Korea, 17-20 October 1994. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive neural networks: Some practical considerations. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.198-203, Orlando, Florida, USA, 28 June - 2 July 1994. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. A theoretically sound learning algorithm for constructive neural networks. Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, pp.389-392, Hong Kong, 13-16 April 1994. (gzip'ed PS)

• Kwok-Leung Mou and Dit-Yan Yeung. Gabriel networks: Self-organizing neural networks for adaptive vector quantization. Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, pp.658-661, Hong Kong, 13-16 April 1994. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Experimental analysis of input weight freezing in constructive neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.511-516, San Francisco, California, USA, 28 March - 1 April 1993. (gzip'ed PS)

• Yi Zhen and Dit-Yan Yeung. Active hashing and its application to image and text retrieval. To appear in Data Mining and Knowledge Discovery. (pre-publication version)

• Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, and Frederick Lochovsky. Solution path for manifold regularized semisupervised classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(2):308-319, April 2012. (PDF)

• Yu Zhang and Dit-Yan Yeung. Transfer metric learning with semi-supervised extension. ACM Transactions on Intelligent Systems and Technology, 3(3), 2012. (pre-publication version)

• Yu Zhang and Dit-Yan Yeung. Semisupervised generalized discriminant analysis. IEEE Transactions on Neural Networks, 22(8):1207-1217, August 2011. (PDF)

• Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, and Frederick Lochovsky. A regularization framework for multiclass classification: a deterministic annealing approach. Pattern Recognition, 43(7):2466-2475, July 2010. (DOI link)

• Wu-Jun Li and Dit-Yan Yeung. MILD: Multiple-instance learning via disambiguation. IEEE Transactions on Knowledge and Data Engineering, 22(1):76-89, January 2010. (PDF; MATLAB code and data)

• Dit-Yan Yeung, Hong Chang, and Guang Dai. A scalable kernel-based semi-supervised metric learning algorithm with out-of-sample generalization ability. Neural Computation, 20(11):2839-2861, November 2008. (PDF)

• Gang Wang, Dit-Yan Yeung, and Frederick H. Lochovsky. A new solution path algorithm in support vector regression. IEEE Transactions on Neural Networks, 19(10):1753-1767, October 2008. (PDF)

• Zhihua Zhang, Dit-Yan Yeung, James T. Kwok, and Edward Y. Chang. Sliced coordinate analysis for effective dimension reduction and nonlinear extensions. Journal of Computational and Graphical Statistics, 17(1):225-242, March 2008. (PDF)

• Hong Chang and Dit-Yan Yeung. Robust path-based spectral clustering. Pattern Recognition, 41(1):191-203, January 2008. (PDF; DOI link)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Surrogate maximization/minimization algorithms and extensions. Machine Learning, 69(1):1-33, October 2007. (PDF; DOI link)

• Dit-Yan Yeung, Hong Chang, and Guang Dai. Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognition, 40(7):2021-2028, July 2007. (PDF; DOI link)

• Hong Chang and Dit-Yan Yeung. Kernel-based distance metric learning for content-based image retrieval. Image and Vision Computing, 25(5):695-703, May 2007. (PDF; DOI link)

• Wei Ren, Dit-Yan Yeung, Hai Jin, and Mei Yang. Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks. International Journal of Network Security, 4(2):227-234, March 2007. (PDF)

• Dit-Yan Yeung and Hong Chang. A kernel approach for semi-supervised metric learning. IEEE Transactions on Neural Networks, 18(1):141-149, January 2007. (PDF)

• Guang Dai, Dit-Yan Yeung, and Yun-Tao Qian. Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognition, 40(1):229-243, January 2007. (PDF; DOI link)

• Wei Chen and Dit-Yan Yeung. Throttling spoofed SYN flooding traffic at the source. Telecommunication Systems, 33(1-3):47-65, December 2006. (PDF; DOI link)

• Hong Chang, Dit-Yan Yeung, and William K. Cheung. Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognition, 39(10):1905-1917, October 2006. (PDF; DOI link)

• E.Y.K. Chan, H.W. Chan, K.M. Chan, P.S. Chan, S.T. Chanson, M.H. Cheung, C.F. Chong, K.P. Chow, A.K.T. Hui, L.C.K. Hui, S.K. Ip, C.K. Lam, W.C. Lau, K.H. Pun, Y.F. Tsang, W.W. Tsang, C.W. Tso, Dit-Yan Yeung, S.M. Yiu, K.Y. Yu, and W. Ju. Intrusion detection routers: design, implementation and evaluation using an experimental testbed. IEEE Journal on Selected Areas in Communications, 24(10):1889-1900, October 2006.

• Hong Chang and Dit-Yan Yeung. Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognition, 39(7):1253-1264, July 2006. (PDF; DOI link)

• Hong Chang and Dit-Yan Yeung. Robust locally linear embedding. Pattern Recognition, 39(6):1053-1065, June 2006. (PDF; DOI link)

• Dit-Yan Yeung and Hong Chang. Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognition, 39(5):1007-1010, May 2006. (PDF; DOI link)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Model-based transductive learning of the kernel matrix. Machine Learning, 63(1):69-101, April 2006. (PDF; DOI link)

• Yimin Xiong and Dit-Yan Yeung. Time series clustering with ARMA mixtures. Pattern Recognition, 37(8):1675-1689, August 2004. (PDF; DOI link)

• Dit-Yan Yeung and Yuxin Ding. Host-based intrusion detection using dynamic and static behavioral models. Pattern Recognition, 36(1):229-243, January 2003. (PDF; DOI link)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Bidirectional deformable matching with application to handwritten character extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8):1133-1139, August 2002. (PDF)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. On deformable models for visual pattern recognition. Pattern Recognition, 35(7):1507-1526, July 2002. (PDF)

• Kam-Fai Chan and Dit-Yan Yeung. Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Pattern Recognition, 34(8):1671-1684, August 2001. (PDF)

• Kam-Fai Chan and Dit-Yan Yeung. Mathematical expression recognition: a survey. International Journal on Document Analysis and Recognition, 3(1):3-15, August 2000. (PS)

• Kam-Fai Chan and Dit-Yan Yeung. An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Pattern Recognition, 33(3):375-384, March 2000. (PDF)

• Kam-Fai Chan and Dit-Yan Yeung. Recognizing on-line handwritten alphanumeric characters through flexible structural matching. Pattern Recognition, 32(7):1099-1114, July 1999. (PDF)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. A Bayesian framework for deformable pattern recognition with application to handwritten character recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1382-1388, December 1998. (PDF)

• Tin-Yau Kwok and Dit-Yan Yeung. Objective functions for training new hidden units in constructive neural networks. IEEE Transactions on Neural Networks, 8(5):1131-1148, September 1997. (PDF)

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks, 8(3):630-645, May 1997. (PDF)

• Xiaolin Li and Dit-Yan Yeung. On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern Recognition, 30(1):31-44, January 1997. (PDF)

• Pak-Keung Lai, Dit-Yan Yeung, and Man-Chi Pong. A heuristic search approach to Chinese glyph generation using hierarchical character composition. Computer Processing of Oriental Languages, 10(3):281-297, January 1997. (PDF)

• Tin-Yau Kwok and Dit-Yan Yeung. Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Transactions on Neural Networks, 7(5):1168-1183, September 1996. (PDF)

• Tin-Yau Kwok and Dit-Yan Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Neural Processing Letters, 2(3):20-25, May 1995. (PDF)

• Dit-Yan Yeung. Constructive neural networks as estimators of Bayesian discriminant functions. Pattern Recognition, 26(1):189-204, January 1993. (PDF)

• Dit-Yan Yeung and George A. Bekey. On reducing learning time in context-dependent mappings. IEEE Transactions on Neural Networks, 4(1):31-42, January 1993.

• Dit-Yan Yeung and Yu Zhang. Learning inverse dynamics by Gaussian process regression under the multi-task learning framework. In The Path to Autonomous Robots, G.S. Sukhatme (ed.), pp.131-142, Springer, 2009. (PDF)

• Hong Chang and Dit-Yan Yeung. Kernel-based metric adaptation with pairwise constraints. In Advances in Machine Learning and Cybernetics, D.S. Yeung, Z.Q. Liu, X.Z. Wang & H. Yan (eds.), pp.721-730, Springer-Verlag, 2006. (PDF; DOI link)

• Samuel P.M. Choi, Dit-Yan Yeung, and Nevin L. Zhang. Hidden-mode Markov decision processes for nonstationary sequential decision making. In Sequence Learning: Paradigms, Algorithms, and Applications, R. Sun & C.L. Giles (eds.), pp.264-287, Springer-Verlag, 2001. (PDF)

• Kam-Fai Chan and Dit-Yan Yeung. A simple yet robust structural approach for on-line handwritten alphanumeric character recognition. In Advances in Handwriting Recognition, S.W. Lee (ed.), pp.39-48, World Scientific, 1999.

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. Robust deformable matching for character extraction. In Advances in Handwriting Recognition, S.W. Lee (ed.), pp.235-244, World Scientific, 1999.

• Xiaodong Xia and Dit-Yan Yeung. A learning model for the selection of problem-solving strategies in continuous physical systems. In Goal-Driven Learning, D. Leake & A. Ram (eds.), chapter 12, pp.307-319, MIT Press, 1995.

• Hong Chang and Dit-Yan Yeung. Robust locally linear embedding. Technical Report HKUST-CS05-12, Department of Computer Science, Hong Kong University of Science and Technology, July 2005. (PDF)

• Hong Chang and Dit-Yan Yeung. Robust path-based clustering for the unsupervised and semi-supervised learning settings. Technical Report HKUST-CS04-04, Department of Computer Science, Hong Kong University of Science and Technology, April 2004. (gzip'ed PS)

• Chi-Pan Li, Samuel T. Chanson, and Dit-Yan Yeung. A distributed scheme to defend against TCP-based distributed denial of service (DDoS) attacks. Technical Report HKUST-CS03-16, Department of Computer Science, Hong Kong University of Science and Technology, November 2003. (gzip'ed PS)

• Dit-Yan Yeung and Hong Chang. Relaxational metric adaptation: a nonparametric approach to distance metric learning for clustering with pairwise side information. Technical Report HKUST-CS03-07, Department of Computer Science, Hong Kong University of Science and Technology, June 2003. (gzip'ed PS)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. Parametric distance metric learning with label information. Technical Report HKUST-CS03-02, Department of Computer Science, Hong Kong University of Science and Technology, January 2003. (gzip'ed PS)

• Zhihua Zhang, James T. Kwok, and Dit-Yan Yeung. A novel family of subspace methods---protoface and its kernel version. Technical Report HKUST-CS02-29, Department of Computer Science, Hong Kong University of Science and Technology, November 2002. (gzip'ed PS)

• Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, and Wanqiu Wang. A novel distance-based classifier using convolution kernels and Euclidean embeddings. Technical Report HKUST-CS02-28, Department of Computer Science, Hong Kong University of Science and Technology, November 2002. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. Error detection, error correction and performance evaluation in on-line mathematical expression recognition. Technical Report HKUST-CS99-06, Department of Computer Science, Hong Kong University of Science and Technology, May 1999. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. Mathematical expression recognition: a survey. Technical Report HKUST-CS99-04, Department of Computer Science, Hong Kong University of Science and Technology, April 1999. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions. Technical Report HKUST-CS98-10, Department of Computer Science, Hong Kong University of Science and Technology, August 1998. (gzip'ed PS)

• Kwok-Wai Cheung, Dit-Yan Yeung, and Roland T. Chin. On deformable models for visual pattern recognition. Technical Report HKUST-CS98-8, Department of Computer Science, Hong Kong University of Science and Technology, June 1998. (gzip'ed PS)

• Kam-Fai Chan and Dit-Yan Yeung. Elastic structural matching for recognizing on-line handwritten alphanumeric characters. Technical Report HKUST-CS98-07, Department of Computer Science, Hong Kong University of Science and Technology, March 1998. (gzip'ed PS)

• Pak-Keung Lai, Dit-Yan Yeung, and Man-Chi Pong. Chinese glyph generation by heuristic search. Technical Report HKUST-CS96-17, Department of Computer Science, Hong Kong University of Science and Technology, June 1996. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Constructive feedforward neural networks for regression problems: A survey. Technical Report HKUST-CS95-43, Department of Computer Science, Hong Kong University of Science and Technology, September 1995. (gzip'ed PS)

• Dit-Yan Yeung and Kei-Wai Yeung. Auto-associative learning of on-line handwriting using recurrent neural networks. Technical Report HKUST-CS94-38, Department of Computer Science, Hong Kong University of Science and Technology, November 1994. (gzip'ed PS)

• Dit-Yan Yeung and Kei-Wai Yeung. ASCOC: A recurrent neural network model for grammatical inference. Technical Report HKUST-CS94-37, Department of Computer Science, Hong Kong University of Science and Technology, September 1994. (gzip'ed PS)

• Tin-Yau Kwok and Dit-Yan Yeung. Theoretical analysis of constructive neural networks. Technical Report HKUST-CS93-12, Department of Computer Science, Hong Kong University of Science and Technology, November 1993. (gzip'ed PS)