Dit-Yan Yeung

Yi Zhen, Dit-Yan Yeung: Active hashing and its application to image and text retrieval. Data Min. Knowl. Discov. 26(2): 255-274 (2013)

Yu Zhang, Dit-Yan Yeung: Transfer Metric Learning with Semi-Supervised Extension. ACM TIST 3(3): 54 (2012)

Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky: Solution Path for Manifold Regularized Semisupervised Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(2): 308-319 (2012)

Wu-Jun Li, Dit-Yan Yeung: Sparse Probabilistic Relational Projection. AAAI 2012

Yu Zhang, Dit-Yan Yeung, Eric P. Xing: Supervised Probabilistic Robust Embedding with Sparse Noise. AAAI 2012

Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung: A Probabilistic Approach to Robust Matrix Factorization. ECCV (7) 2012: 126-139

Yu Zhang, Dit-Yan Yeung: Overlapping community detection via bounded nonnegative matrix tri-factorization. KDD 2012: 606-614

Yi Zhen, Dit-Yan Yeung: A probabilistic model for multimodal hash function learning. KDD 2012: 940-948

Yi Zhen, Dit-Yan Yeung: Co-Regularized Hashing for Multimodal Data. NIPS 2012: 1385-1393

Yu Zhang, Dit-Yan Yeung: Multi-Task Boosting by Exploiting Task Relationships. ECML/PKDD (1) 2012: 697-710

Yu Zhang, Bin Cao, Dit-Yan Yeung: Multi-Domain Collaborative Filtering. CoRR abs/1203.3535 (2012)

Yu Zhang, Dit-Yan Yeung: A Convex Formulation for Learning Task Relationships in Multi-Task Learning. CoRR abs/1203.3536 (2012)

Yu Zhang, Dit-Yan Yeung: Semisupervised Generalized Discriminant Analysis. IEEE Transactions on Neural Networks 22(8): 1207-1217 (2011)

Wu-Jun Li, Dit-Yan Yeung: Social Relations Model for Collaborative Filtering. AAAI 2011

Yu Zhang, Dit-Yan Yeung: Multi-Task Learning in Heterogeneous Feature Spaces. AAAI 2011

Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang: Generalized Latent Factor Models for Social Network Analysis. IJCAI 2011: 1705-1710

Emprise Y. K. Chan, Dit-Yan Yeung: A Convex Formulation of Modularity Maximization for Community Detection. IJCAI 2011: 2218-2225

Yu Zhang, Dit-Yan Yeung: Discriminative Experimental Design. ECML/PKDD (3) 2011: 585-596

Yu Zhang, Dit-Yan Yeung: Multi-Task Learning using Generalized t Process. Journal of Machine Learning Research - Proceedings Track 9: 964-971 (2010)

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

Wu-Jun Li, Dit-Yan Yeung: MILD: Multiple-Instance Learning via Disambiguation. IEEE Trans. Knowl. Data Eng. 22(1): 76-89 (2010)

Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang: Adaptive Transfer Learning. AAAI 2010

Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou: Transductive Learning on Adaptive Graphs. AAAI 2010

Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu: Gaussian Process Latent Random Field. AAAI 2010

Yu Zhang, Dit-Yan Yeung: Multi-task warped Gaussian process for personalized age estimation. CVPR 2010: 2622-2629

Yu Zhang, Dit-Yan Yeung: Transfer metric learning by learning task relationships. KDD 2010: 1199-1208

Yu Zhang, Dit-Yan Yeung, Qian Xu: Probabilistic Multi-Task Feature Selection. NIPS 2010: 2559-2567

Yu Zhang, Dit-Yan Yeung: Worst-Case Linear Discriminant Analysis. NIPS 2010: 2568-2576

Yi Zhen, Dit-Yan Yeung: SED: supervised experimental design and its application to text classification. SIGIR 2010: 299-306

Yu Zhang, Bin Cao, Dit-Yan Yeung: Multi-Domain Collaborative Filtering. UAI 2010: 725-732

Yu Zhang, Dit-Yan Yeung: A Convex Formulation for Learning Task Relationships in Multi-Task Learning. UAI 2010: 733-442

Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung: Latent Wishart Processes for Relational Kernel Learning. Journal of Machine Learning Research - Proceedings Track 5: 336-343 (2009)

Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung: Coherence Functions for Multicategory Margin-based Classification Methods. Journal of Machine Learning Research - Proceedings Track 5: 647-654 (2009)

Wu-Jun Li, Dit-Yan Yeung: Localized content-based image retrieval through evidence region identification. CVPR 2009: 1666-1673

Wu-Jun Li, Dit-Yan Yeung: Relation Regularized Matrix Factorization. IJCAI 2009: 1126-1131

Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang: Probabilistic Relational PCA. NIPS 2009: 1123-1131

Yu Zhang, Dit-Yan Yeung: Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. ECML/PKDD (2) 2009: 602-616

Yu Zhang, Dit-Yan Yeung: Semi-Supervised Multi-Task Regression. ECML/PKDD (2) 2009: 617-631

Yi Zhen, Wu-Jun Li, Dit-Yan Yeung: TagiCoFi: tag informed collaborative filtering. RecSys 2009: 69-76

Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Computation 20(11): 2839-2861 (2008)

Hong Chang, Dit-Yan Yeung: Robust path-based spectral clustering. Pattern Recognition 41(1): 191-203 (2008)

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: A New Solution Path Algorithm in Support Vector Regression. IEEE Transactions on Neural Networks 19(10): 1753-1767 (2008)

Kui Jia, Dit-Yan Yeung: Human action recognition using Local Spatio-Temporal Discriminant Embedding. CVPR 2008

Yu Zhang, Dit-Yan Yeung: Semi-Supervised Discriminant Analysis using robust path-based similarity. CVPR 2008

Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan: Learning Two-View Stereo Matching. ECCV (3) 2008: 15-27

Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Quan: Structuring Visual Words in 3D for Arbitrary-View Object Localization. ECCV (3) 2008: 725-737

Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung: Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. NIPS 2008: 1969-1976

Yu Zhang, Dit-Yan Yeung: Semi-supervised Discriminant Analysis Via CCCP. ECML/PKDD (2) 2008: 644-659

Hong Chang, Dit-Yan Yeung: Kernel-based distance metric learning for content-based image retrieval. Image Vision Comput. 25(5): 695-703 (2007)

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: The Kernel Path in Kernelized LASSO. Journal of Machine Learning Research - Proceedings Track 2: 580-587 (2007)

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

Guang Dai, Dit-Yan Yeung, Yuntao Qian: Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognition 40(1): 229-243 (2007)

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

Dit-Yan Yeung, Hong Chang: A Kernel Approach for Semisupervised Metric Learning. IEEE Transactions on Neural Networks 18(1): 141-149 (2007)

Wei Fan, Dit-Yan Yeung: Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. CVPR 2007

Dit-Yan Yeung, Hong Chang: Locally Smooth Metric Learning with Application to Image Retrieval. ICCV 2007: 1-7

Guang Dai, Dit-Yan Yeung: Kernel selection forl semi-supervised kernel machines. ICML 2007: 185-192

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: A kernel path algorithm for support vector machines. ICML 2007: 951-958

Guang Dai, Dit-Yan Yeung: Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI 2007: 744-749

Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143

Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimin Zhang, Dit-Yan Yeung: Semi-supervised Cast Indexing for Feature-Length Films. MMM (1) 2007: 625-635

Eric Y. K. Chan, H. W. Chan, K. M. Chan, Vivien P. S. Chan, Samuel T. Chanson, Matthew M. H. Cheung, C. F. Chong, K. P. Chow, Albert K. T. Hui, Lucas Chi Kwong Hui, S. K. Ip, Luke C. K. Lam, W. C. Lau, Kevin K. H. Pun, Anthony Y. F. Tsang, Wai Wan Tsang, Sam C. W. Tso, Dit-Yan Yeung, Siu-Ming Yiu, Kwun Yin Yu, W. Ju: Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed. IEEE Journal on Selected Areas in Communications 24(10): 1889-1900 (2006)

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

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

Hong Chang, Dit-Yan Yeung: Robust locally linear embedding. Pattern Recognition 39(6): 1053-1065 (2006)

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

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

Wei Chen, Dit-Yan Yeung: Throttling spoofed SYN flooding traffic at the source. Telecommunication Systems 33(1-3): 47-65 (2006)

Guang Dai, Dit-Yan Yeung: Tensor Embedding Methods. AAAI 2006: 330-335

Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung: A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006: 988-993

Wei Fan, Dit-Yan Yeung: Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. CVPR (2) 2006: 1384-1390

Hong Chang, Dit-Yan Yeung: Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) 2006: 2011-2016

Guang Dai, Dit-Yan Yeung, Hong Chang: Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320

Wei Fan, Dit-Yan Yeung: Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds. FG 2006: 177-182

Ho-Yu Lam, Chi-Pan Li, Samuel T. Chanson, Dit-Yan Yeung: A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks. ICC 2006: 2165-2170

Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky: Solution Path for Semi-Supervised Classification with Manifold Regularization. ICDM 2006: 1124-1129

Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeung: Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features. ICIP 2006: 665-668

Jian Xia, Dit-Yan Yeung, Guang Dai: Local Discriminant Embedding with Tensor Representation. ICIP 2006: 929-932

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: Two-dimensional solution path for support vector regression. ICML 2006: 993-1000

Wei Chen, Dit-Yan Yeung: Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing. ICN/ICONS/MCL 2006: 38

Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder (Eds.): Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings. Lecture Notes in Computer Science 4109, Springer 2006, isbn 3-540-37236-9

Hong Chang, Dit-Yan Yeung: Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance. BMVC 2005

Hong Chang, Dit-Yan Yeung: Robust Path-Based Spectral Clustering with Application to Image Segmentation. ICCV 2005: 278-285

Guang Dai, Dit-Yan Yeung: Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) 2005: 838-841

Hong Chang, Dit-Yan Yeung: Kernel-Based Metric Adaptation with Pairwise Constraints. ICMLC 2005: 721-730

Yimin Xiong, Dit-Yan Yeung: Time series clustering with ARMA mixtures. Pattern Recognition 37(8): 1675-1689 (2004)

Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung: Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI 2004: 372-377

Hong Chang, Dit-Yan Yeung, Yimin Xiong: Super-Resolution through Neighbor Embedding. CVPR (1) 2004: 275-282

Samuel P. M. Choi, Nevin Lianwen Zhang, Dit-Yan Yeung: Reinforcement Learning in Episodic Non-stationary Markovian Environments. IC-AI 2004: 752-758

Dit-Yan Yeung, Hong Chang, Yimin Xiong, Susan E. George, Ramanujan S. Kashi, Takashi Matsumoto, Gerhard Rigoll: SVC2004: First International Signature Verification Competition. ICBA 2004: 16-22

Hong Chang, Dit-Yan Yeung: Locally linear metric adaptation for semi-supervised clustering. ICML 2004

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004

Zhihua Zhang, Dit-Yan Yeung, James T. Kwok: Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. ICML 2004

Eric Y. K. Chan, H. W. Chan, K. M. Chan, Vivien P. S. Chan, Samuel T. Chanson, Matthew M. H. Cheung, C. F. Chong, K. P. Chow, Albert K. T. Hui, Lucas Chi Kwong Hui, Luke C. K. Lam, W. C. Lau, Kevin K. H. Pun, Anthony Y. F. Tsang, Wai Wan Tsang, Sam C. W. Tso, Dit-Yan Yeung, Kwun Yin Yu: IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks. ISPAN 2004: 581-586

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

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Parametric Distance Metric Learning with Label Information. IJCAI 2003: 1450-

Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin: Bidirectional Deformable Matching with Application to Handwritten Character Extraction. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1133-1139 (2002)

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

Yimin Xiong, Dit-Yan Yeung: Mixtures of ARMA Models for Model-Based Time Series Clustering. ICDM 2002: 717-720

Dit-Yan Yeung, Calvin Chow: Parzen-Window Network Intrusion Detectors. ICPR (4) 2002: 385-388

Dit-Yan Yeung, Yuxin Ding: User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. PAKDD 2002: 494-505

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

Kam-Fai Chan, Dit-Yan Yeung: PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology. ICDAR 2001: 774-778

Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang: Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. Sequence Learning 2001: 264-287

Kam-Fai Chan, Dit-Yan Yeung: Mathematical expression recognition: a survey. IJDAR 3(1): 3-15 (2000)

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

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

Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin: A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval. ICCV 1999: 1105-1110

Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang: An Environment Model for Nonstationary Reinforcement Learning. NIPS 1999: 987-993

Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin: A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1382-1388 (1998)

Kam-Fai Chan, Dit-Yan Yeung: Towards Efficient Structural Analysis of Mathematical Expressions. SSPR/SPR 1998: 437-444

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

James Tin-Yau Kwok, Dit-Yan Yeung: Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Trans. Neural Netw. Learning Syst. 8(3): 630-645 (1997)

James Tin-Yau Kwok, Dit-Yan Yeung: Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Netw. Learning Syst. 8(5): 1131-1148 (1997)

James Tin-Yau Kwok, Dit-Yan Yeung: Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Trans. Neural Netw. Learning Syst. 7(5): 1168-1183 (1996)

Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin: Competitive Mixture of Deformable Models for Pattern Classification. CVPR 1996: 613-618

James Tin-Yau Kwok, Dit-Yan Yeung: Bayesian Regularization in Constructive Neural Networks. ICANN 1996: 557-562

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

Dit-Yan Yeung: A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study. ICDAR 1995: 1069-

Xiaolin Li, Dit-Yan Yeung: On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences. ICSC 1995: 197-204

Samuel P. M. Choi, Dit-Yan Yeung: Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control. NIPS 1995: 945-951

Dit-Yan Yeung: Constructive neural networks as estimators of bayesian discriminant functions. Pattern Recognition 26(1): 189-204 (1993)

Dit-Yan Yeung: A Neural Network Approach to Constructive Induction. ML 1991: 228-232