 | 2009 |
|---|
| 81 |       | Yu Zhang,
Dit-Yan Yeung:
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension.
ECML/PKDD (2) 2009: 602-616 |
| 80 | | Yu Zhang,
Dit-Yan Yeung:
Semi-Supervised Multi-Task Regression.
ECML/PKDD (2) 2009: 617-631 |
| 79 | | Wu-Jun Li,
Dit-Yan Yeung:
Relation Regularized Matrix Factorization.
IJCAI 2009: 1126-1131 |
| 78 | | Yi Zhen,
Wu-Jun Li,
Dit-Yan Yeung:
TagiCoFi: tag informed collaborative filtering.
RecSys 2009: 69-76 |
| 2008 |
|---|
| 77 | | Kui Jia,
Dit-Yan Yeung:
Human action recognition using Local Spatio-Temporal Discriminant Embedding.
CVPR 2008 |
| 76 | | Yu Zhang,
Dit-Yan Yeung:
Semi-Supervised Discriminant Analysis using robust path-based similarity.
CVPR 2008 |
| 75 | | Jianxiong Xiao,
Jingni Chen,
Dit-Yan Yeung,
Long Quan:
Learning Two-View Stereo Matching.
ECCV (3) 2008: 15-27 |
| 74 | | Jianxiong Xiao,
Jingni Chen,
Dit-Yan Yeung,
Long Quan:
Structuring Visual Words in 3D for Arbitrary-View Object Localization.
ECCV (3) 2008: 725-737 |
| 73 | | Yu Zhang,
Dit-Yan Yeung:
Semi-supervised Discriminant Analysis Via CCCP.
ECML/PKDD (2) 2008: 644-659 |
| 72 | | Zhihua Zhang,
Michael I. Jordan,
Dit-Yan Yeung:
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice.
NIPS 2008: 1969-1976 |
| 71 | | 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) |
| 70 | | 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) |
| 69 | | Hong Chang,
Dit-Yan Yeung:
Robust path-based spectral clustering.
Pattern Recognition 41(1): 191-203 (2008) |
| 2007 |
|---|
| 68 | | Wei Fan,
Dit-Yan Yeung:
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds.
CVPR 2007 |
| 67 | | Dit-Yan Yeung,
Hong Chang:
Locally Smooth Metric Learning with Application to Image Retrieval.
ICCV 2007: 1-7 |
| 66 | | Guang Dai,
Dit-Yan Yeung:
Kernel selection forl semi-supervised kernel machines.
ICML 2007: 185-192 |
| 65 | | Gang Wang,
Dit-Yan Yeung,
Frederick H. Lochovsky:
A kernel path algorithm for support vector machines.
ICML 2007: 951-958 |
| 64 | | Dit-Yan Yeung,
Hong Chang,
Guang Dai:
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning.
IJCAI 2007: 1138-1143 |
| 63 | | Guang Dai,
Dit-Yan Yeung:
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data.
IJCAI 2007: 744-749 |
| 62 | | 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 |
| 61 | | Dit-Yan Yeung,
Hong Chang:
A Kernel Approach for Semisupervised Metric Learning.
IEEE Transactions on Neural Networks 18(1): 141-149 (2007) |
| 60 | | Hong Chang,
Dit-Yan Yeung:
Kernel-based distance metric learning for content-based image retrieval.
Image Vision Comput. 25(5): 695-703 (2007) |
| 59 | | Zhihua Zhang,
James T. Kwok,
Dit-Yan Yeung:
Surrogate maximization/minimization algorithms and extensions.
Machine Learning 69(1): 1-33 (2007) |
| 58 | | Guang Dai,
Dit-Yan Yeung,
Yuntao Qian:
Face recognition using a kernel fractional-step discriminant analysis algorithm.
Pattern Recognition 40(1): 229-243 (2007) |
| 57 | | 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) |
| 2006 |
|---|
| 56 |  | Dit-Yan Yeung,
James T. Kwok,
Ana L. N. Fred,
Fabio Roli,
Dick de Ridder:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings
Springer 2006 |
| 55 | | Jeffrey Junfeng Pan,
Qiang Yang,
Hong Chang,
Dit-Yan Yeung:
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking.
AAAI 2006 |
| 54 | | Guang Dai,
Dit-Yan Yeung:
Tensor Embedding Methods.
AAAI 2006 |
| 53 | | Wei Fan,
Dit-Yan Yeung:
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification.
CVPR (2) 2006: 1384-1390 |
| 52 | | Hong Chang,
Dit-Yan Yeung:
Graph Laplacian Kernels for Object Classification from a Single Example.
CVPR (2) 2006: 2011-2016 |
| 51 | | Guang Dai,
Dit-Yan Yeung,
Hong Chang:
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion.
ECCV (4) 2006: 308-320 |
| 50 | | Wei Fan,
Dit-Yan Yeung:
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds.
FG 2006: 177-182 |
| 49 | | Gang Wang,
Tao Chen,
Dit-Yan Yeung,
Frederick H. Lochovsky:
Solution Path for Semi-Supervised Classification with Manifold Regularization.
ICDM 2006: 1124-1129 |
| 48 | | 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 |
| 47 | | Jian Xia,
Dit-Yan Yeung,
Guang Dai:
Local Discriminant Embedding with Tensor Representation.
ICIP 2006: 929-932 |
| 46 | | Gang Wang,
Dit-Yan Yeung,
Frederick H. Lochovsky:
Two-dimensional solution path for support vector regression.
ICML 2006: 993-1000 |
| 45 | | Wei Chen,
Dit-Yan Yeung:
Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing.
ICN/ICONS/MCL 2006: 38 |
| 44 | | 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,
K. Y. 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) |
| 43 | | Zhihua Zhang,
James T. Kwok,
Dit-Yan Yeung:
Model-based transductive learning of the kernel matrix.
Machine Learning 63(1): 69-101 (2006) |
| 42 | | 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) |
| 41 | | 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) |
| 40 | | Hong Chang,
Dit-Yan Yeung:
Robust locally linear embedding.
Pattern Recognition 39(6): 1053-1065 (2006) |
| 39 | | 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) |
| 38 | | Wei Chen,
Dit-Yan Yeung:
Throttling spoofed SYN flooding traffic at the source.
Telecommunication Systems 33(1-3): 47-65 (2006) |
| 2005 |
|---|
| 37 | | Hong Chang,
Dit-Yan Yeung:
Robust Path-Based Spectral Clustering with Application to Image Segmentation.
ICCV 2005: 278-285 |
| 36 | | Guang Dai,
Dit-Yan Yeung:
Nonlinear dimensionality reduction for classification using kernel weighted subspace method.
ICIP (2) 2005: 838-841 |
| 35 | | Hong Chang,
Dit-Yan Yeung:
Kernel-Based Metric Adaptation with Pairwise Constraints.
ICMLC 2005: 721-730 |
| 2004 |
|---|
| 34 | | 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 |
| 33 | | Hong Chang,
Dit-Yan Yeung,
Yimin Xiong:
Super-Resolution through Neighbor Embedding.
CVPR (1) 2004: 275-282 |
| 32 | | Samuel P. M. Choi,
Nevin Lianwen Zhang,
Dit-Yan Yeung:
Reinforcement Learning in Episodic Non-stationary Markovian Environments.
IC-AI 2004: 752-758 |
| 31 | | 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 |
| 30 | | 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 |
| 29 | | Hong Chang,
Dit-Yan Yeung:
Locally linear metric adaptation for semi-supervised clustering.
ICML 2004 |
| 28 | | Zhihua Zhang,
James T. Kwok,
Dit-Yan Yeung:
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model.
ICML 2004 |
| 27 | | 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,
K. Y. Yu:
IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks.
ISPAN 2004: 581-586 |
| 26 | | Yimin Xiong,
Dit-Yan Yeung:
Time series clustering with ARMA mixtures.
Pattern Recognition 37(8): 1675-1689 (2004) |
| 2003 |
|---|
| 25 | | Zhihua Zhang,
James T. Kwok,
Dit-Yan Yeung:
Parametric Distance Metric Learning with Label Information.
IJCAI 2003: 1450- |
| 24 | | Dit-Yan Yeung,
Yuxin Ding:
Host-based intrusion detection using dynamic and static behavioral models.
Pattern Recognition 36(1): 229-243 (2003) |
| 2002 |
|---|
| 23 | | Yimin Xiong,
Dit-Yan Yeung:
Mixtures of ARMA Models for Model-Based Time Series Clustering.
ICDM 2002: 717-720 |
| 22 | | Dit-Yan Yeung,
Calvin Chow:
Parzen-Window Network Intrusion Detectors.
ICPR (4) 2002: 385-388 |
| 21 | | Dit-Yan Yeung,
Yuxin Ding:
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models.
PAKDD 2002: 494-505 |
| 20 | | 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) |
| 19 | | Kwok-Wai Cheung,
Dit-Yan Yeung,
Roland T. Chin:
On deformable models for visual pattern recognition.
Pattern Recognition 35(7): 1507-1526 (2002) |
| 2001 |
|---|
| 18 | | Kam-Fai Chan,
Dit-Yan Yeung:
PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology.
ICDAR 2001: 774-778 |
| 17 | | 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 |
| 16 | | 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) |
| 2000 |
|---|
| 15 | | Kam-Fai Chan,
Dit-Yan Yeung:
Mathematical expression recognition: a survey.
IJDAR 3(1): 3-15 (2000) |
| 14 | | 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) |
| 1999 |
|---|
| 13 | | 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 |
| 12 | | Samuel P. M. Choi,
Dit-Yan Yeung,
Nevin Lianwen Zhang:
An Environment Model for Nonstationary Reinforcement Learning.
NIPS 1999: 987-993 |
| 11 | | Kam-Fai Chan,
Dit-Yan Yeung:
Recognizing on-line handwritten alphanumeric characters through flexible structural matching.
Pattern Recognition 32(7): 1099-1114 (1999) |
| 1998 |
|---|
| 10 | | Kam-Fai Chan,
Dit-Yan Yeung:
Towards Efficient Structural Analysis of Mathematical Expressions.
SSPR/SPR 1998: 437-444 |
| 9 | | 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) |
| 1997 |
|---|
| 8 | | Xiaolin Li,
Dit-Yan Yeung:
On-line handwritten alphanumeric character recognition using dominant points in strokes.
Pattern Recognition 30(1): 31-44 (1997) |
| 1996 |
|---|
| 7 | | Kwok-Wai Cheung,
Dit-Yan Yeung,
Roland T. Chin:
Competitive Mixture of Deformable Models for Pattern Classification.
CVPR 1996: 613-618 |
| 6 | | James Tin-Yau Kwok,
Dit-Yan Yeung:
Bayesian Regularization in Constructive Neural Networks.
ICANN 1996: 557-562 |
| 1995 |
|---|
| 5 | | Dit-Yan Yeung:
A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study.
ICDAR 1995: 1069- |
| 4 | | Xiaolin Li,
Dit-Yan Yeung:
On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences.
ICSC 1995: 197-204 |
| 3 | | Samuel P. M. Choi,
Dit-Yan Yeung:
Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control.
NIPS 1995: 945-951 |
| 1993 |
|---|
| 2 | | Dit-Yan Yeung:
Constructive neural networks as estimators of bayesian discriminant functions.
Pattern Recognition 26(1): 189-204 (1993) |
| 1991 |
|---|
| 1 | | Dit-Yan Yeung:
A Neural Network Approach to Constructive Induction.
ML 1991: 228-232 |
