Dit-Yan Yeung

Wei Chen, Dit-Yan Yeung, D. Yeung, 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

Transductive Learning on Adaptive Graphs

Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou, 2010, AAAI.

Model-based transductive learning of the kernel matrix

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, 2006, Machine Learning.

Constructive neural networks as estimators of bayesian discriminant functions

Dit-Yan Yeung, D. Yeung, 1993, Pattern Recognit..

User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models

Yuxin Ding, Dit-Yan Yeung, D. Yeung, 2002, PAKDD.

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2009, ECML/PKDD.

Social Relations Model for Collaborative Filtering

Wu-Jun Li, Dit-Yan Yeung, 2011, AAAI.

A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks

Dit-Yan Yeung, Samuel T. Chanson, Chi-Pan Li, 2006, 2006 IEEE International Conference on Communications.

Parzen-window network intrusion detectors

Dit-Yan Yeung, Calvin Chow, D. Yeung, 2002, Object recognition supported by user interaction for service robots.

Reinforcement Learning in Episodic Non-stationary Markovian Environments

Dit-Yan Yeung, Nevin Lianwen Zhang, Samuel P. M. Choi, 2004, IC-AI.

Generalized Latent Factor Models for Social Network Analysis

Zhihua Zhang, Wu-Jun Li, Dit-Yan Yeung, 2011, IJCAI.

Semisupervised Generalized Discriminant Analysis

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2011, IEEE Transactions on Neural Networks.

Bayesian Robust Matrix Factorization for Image and Video Processing

Dit-Yan Yeung, Naiyan Wang, Naiyan Wang, 2013, 2013 IEEE International Conference on Computer Vision.

Learning High-Order Task Relationships in Multi-Task Learning

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2013, IJCAI.

Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation pdf

Yuxiang Sun, Ting Sun, Dit-Yan Yeung, 2019, ArXiv.

A probabilistic model for multimodal hash function learning

Yi Zhen, Dit-Yan Yeung, D. Yeung, 2012, KDD.

Latent Wishart Processes for Relational Kernel Learning

Zhihua Zhang, Wu-Jun Li, Dit-Yan Yeung, 2009, AISTATS.

A regularization framework for multiclass classification: A deterministic annealing approach

Gang Wang, Zhihua Zhang, Frederick H. Lochovsky, 2010, Pattern Recognit..

A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition

Dit-Yan Yeung, Roland T. Chin, Kwok-Wai Cheung, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Relational Stacked Denoising Autoencoder for Tag Recommendation

Dit-Yan Yeung, Hao Wang, Xingjian Shi, 2015, AAAI.

Temporal Models for Predicting Student Dropout in Massive Open Online Courses

Dit-Yan Yeung, Mi Fei, D. Yeung, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

On-line handwritten alphanumeric character recognition using dominant points in strokes

Xiaolin Li, Dit-Yan Yeung, D. Yeung, 1997, Pattern Recognit..

TagiCoFi: tag informed collaborative filtering

Wu-Jun Li, Yi Zhen, Dit-Yan Yeung, 2009, RecSys '09.

Gesture-based piloting of an aerial robot using monocular vision

Ting Sun, Shaojie Shen, Dit-Yan Yeung, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Worst-Case Linear Discriminant Analysis

Dit-Yan Yeung, Yu Zhang, 2010, NIPS.

SVC2004: First International Signature Verification Competition

Hong Chang, Takashi Matsumoto, Dit-Yan Yeung, 2004, ICBA.

IDR: an intrusion detection router for defending against distributed denial-of-service (DDoS) attacks

C. F. Chong, K. P. Chow, Dit-Yan Yeung, 2004, 7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings..

Multicategory large margin classification methods: Hinge losses vs. coherence functions

Zhihua Zhang, Cheng Chen, Wu-Jun Li, 2014, Artif. Intell..

Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed

Siu-Ming Yiu, C. F. Chong, K. P. Chow, 2006, IEEE Journal on Selected Areas in Communications.

A Convex Formulation of Modularity Maximization for Community Detection

Dit-Yan Yeung, Emprise Y. K. Chan, D. Yeung, 2011, IJCAI.

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs

Dit-Yan Yeung, Fei Mi, D. Yeung, 2015, AAAI.

Learning the kernel matrix by maximizing a KFD-based class separability criterion

Hong Chang, Dit-Yan Yeung, Guang Dai, 2007, Pattern Recognit..

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection

Abhinav Gupta, Yuan Yuan, Dit-Yan Yeung, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Solution Path for Manifold Regularized Semisupervised Classification

Gang Wang, Fei Wang, Tao Chen, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

PenCalc: a novel application of on-line mathematical expression recognition technology

Dit-Yan Yeung, Kam-Fai Chan, D. Yeung, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Semi-Supervised Discriminant Analysis using robust path-based similarity

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

MILD: Multiple-Instance Learning via Disambiguation

Wu-Jun Li, Dit-Yan Yeung, D. Yeung, 2010, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised Cast Indexing for Feature-Length Films

Tao Wang, Wei Hu, Dit-Yan Yeung, 2007, MMM.

A Probabilistic Approach to Robust Matrix Factorization

Jingdong Wang, Dit-Yan Yeung, Naiyan Wang, 2012, ECCV.

Locally Smooth Metric Learning with Application to Image Retrieval

Hong Chang, Dit-Yan Yeung, 2007, 2007 IEEE 11th International Conference on Computer Vision.

ias Term in rojeetion ear proximatio onvergence

Dit-Yan Yeung, Tin-Yau Kwok, 1996 .

Online Robust Non-negative Dictionary Learning for Visual Tracking

Jingdong Wang, Dit-Yan Yeung, Naiyan Wang, 2013, 2013 IEEE International Conference on Computer Vision.

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Dit-Yan Yeung, Hao Wang, Xingjian Shi, 2015, NIPS.

Supervised Probabilistic Robust Embedding with Sparse Noise

Eric P. Xing, Dit-Yan Yeung, Yu Zhang, 2012, AAAI.

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

Dit-Yan Yeung, Zhihan Gao, Hao Wang, 2017, NIPS.

Adaptive Load Balancing Between Mobile Robots Through Learning in an Artificial Neural System

George A. Bekey, Dit-Yan Yeung, 1988, 1988 American Control Conference.

Kernel selection forl semi-supervised kernel machines

Dit-Yan Yeung, Guang Dai, 2007, ICML '07.

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues pdf

Ting Sun, Ming Liu, Dit-Yan Yeung, 2019, ArXiv.

Probabilistic Relational PCA

Zhihua Zhang, Wu-Jun Li, Dit-Yan Yeung, 2009, NIPS.

An Environment Model for Nonstationary Reinforcement Learning

Dit-Yan Yeung, Nevin Lianwen Zhang, Samuel P. M. Choi, 1999, NIPS.

Elastic structural matching for online handwritten alphanumeric character recognition

Dit-Yan Yeung, Kam-Fai Chan, D. Yeung, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Bayesian adaptive matrix factorization with automatic model selection

Dit-Yan Yeung, Nevin Lianwen Zhang, Naiyan Wang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction

Dit-Yan Yeung, Hao Wang, Xingjian Shi, 2017, AAAI.

Multi-Task Learning using Generalized t Process

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2010, AISTATS.

Gaussian Process Latent Random Field

Wu-Jun Li, Dit-Yan Yeung, Cheng-Lin Liu, 2010, AAAI.

Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making

Dit-Yan Yeung, Nevin Lianwen Zhang, Samuel P. M. Choi, 2001, Sequence Learning.

Multi-Task Boosting by Exploiting Task Relationships

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2012, ECML/PKDD.

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

Dit-Yan Yeung, Jiaya Jia, Yang Xia, 2013, IJCAI.

Multilabel relationship learning

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2013, TKDD.

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses

Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong, 2018, LAK.

A bidirectional matching algorithm for deformable pattern detection with application to handwritten word retrieval

Dit-Yan Yeung, Roland T. Chin, Kwok-Wai Cheung, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Two-dimensional solution path for support vector regression

Gang Wang, Frederick H. Lochovsky, Dit-Yan Yeung, 2006, ICML.

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

Dit-Yan Yeung, Hao Wang, D. Yeung, 2016, IEEE Transactions on Knowledge and Data Engineering.

ZM-Net: Real-time Zero-shot Image Manipulation Network pdf

Eric P. Xing, Hao Zhang, Dit-Yan Yeung, 2017, ArXiv.

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features pdf

Lin Sun, Ting Sun, Dit-Yan Yeung, 2017, Image Vis. Comput..

Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models

Dit-Yan Yeung, Siyi Li, D. Yeung, 2017, AAAI.

Host-based intrusion detection using dynamic and static behavioral models

Yuxin Ding, Dit-Yan Yeung, D. Yeung, 2003, Pattern Recognit..

Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification

Dit-Yan Yeung, Wei Fan, D. Yeung, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Solving Hidden-Mode Markov Decision Problems

Dit-Yan Yeung, Nevin Lianwen Zhang, Samuel P. M. Choi, 2001, AISTATS.

Transfer metric learning by learning task relationships

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2010, KDD.

Overlapping community detection via bounded nonnegative matrix tri-factorization

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2012, KDD.

Time series clustering with ARMA mixtures

Dit-Yan Yeung, Yimin Xiong, D. Yeung, 2004, Pattern Recognit..

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Dit-Yan Yeung, Guang Dai, 2005, IEEE International Conference on Image Processing 2005.

Super-resolution through neighbor embedding

Hong Chang, Dit-Yan Yeung, Yimin Xiong, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Semi-Supervised Multi-Task Regression

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2009, ECML/PKDD.

Throttling spoofed SYN flooding traffic at the source

Wei Chen, Dit-Yan Yeung, D. Yeung, 2006, Telecommun. Syst..

Discriminative Experimental Design

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2011, ECML/PKDD.

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis pdf

Dit-Yan Yeung, Nevin Lianwen Zhang, Peixian Chen, 2017, AAAI.

Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments

Dezhen Song, Ting Sun, Ming Liu, 2019, ICVS.

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following

Shaojie Shen, Chi Zhang, Dit-Yan Yeung, 2017, IJCAI.

Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints

Hong Chang, Dit-Yan Yeung, 2006, Pattern Recognit..

Robust path-based spectral clustering with application to image segmentation

Hong Chang, Dit-Yan Yeung, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Probabilistic Multi-Task Feature Selection

Qian Xu, Dit-Yan Yeung, Yu Zhang, 2010, NIPS.

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, 2004, ICML.

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability

Hong Chang, Dit-Yan Yeung, Guang Dai, 2008, Neural Computation.

SED: supervised experimental design and its application to text classification

Yi Zhen, Dit-Yan Yeung, D. Yeung, 2010, SIGIR.

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning

Hong Chang, Dit-Yan Yeung, Guang Dai, 2007, IJCAI.

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Hao Ma, Dit-Yan Yeung, Irwin King, 2018, UAI.

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions

Dit-Yan Yeung, Kam-Fai Chan, 2000, Pattern Recognit..

Multi-Domain Collaborative Filtering

Bin Cao, Dit-Yan Yeung, Yu Zhang, 2010, UAI.

Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control

Dit-Yan Yeung, Samuel P. M. Choi, D. Yeung, 1995, NIPS.

The Kernel Path in Kernelized LASSO

Gang Wang, Frederick H. Lochovsky, Dit-Yan Yeung, 2007, AISTATS.

Bayesian Regularization in Constructive Neural Networks

James T. Kwok, Dit-Yan Yeung, D. Yeung, 1996, ICANN.

Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds

Dit-Yan Yeung, Wei Fan, D. Yeung, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Dit-Yan Yeung, Hao Wang, Xingjian Shi, 2016, NIPS.

A Regularization Approach to Learning Task Relationships in Multitask Learning

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2014, ACM Trans. Knowl. Discov. Data.

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) Adaptive Transfer Learning

Qiang Yang, Bin Cao, Dit-Yan Yeung, 2022 .

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion

Hong Chang, Dit-Yan Yeung, Guang Dai, 2006, ECCV.

Spatiotemporal Modeling for Crowd Counting in Videos

Dit-Yan Yeung, Feng Xiong, Xingjian Shi, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Towards Efficient Structural Analysis of Mathematical Expressions

Dit-Yan Yeung, Kam-Fai Chan, 1998, SSPR/SPR.

Graph Laplacian Kernels for Object Classification from a Single Example

Hong Chang, Dit-Yan Yeung, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Localized content-based image retrieval through evidence region identification

Wu-Jun Li, Dit-Yan Yeung, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Addressing two problems in deep knowledge tracing via prediction-consistent regularization

Dit-Yan Yeung, Chun-Kit Yeung, D. Yeung, 2018, L@S.

Coupled Recurrent Network (CRN) pdf

Lin Sun, Silvio Savarese, Bertram E. Shi, 2018, ArXiv.

Mathematical expression recognition: a survey

Dit-Yan Yeung, Kam-Fai Chan, D. Yeung, 2000, International Journal on Document Analysis and Recognition.

Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data

Dit-Yan Yeung, Guang Dai, Guang Dai, 2007, IJCAI.

Constructive algorithms for structure learning in feedforward neural networks for regression problems

James T. Kwok, Dit-Yan Yeung, D. Yeung, 1997, IEEE Trans. Neural Networks.

Towards Bayesian Deep Learning: A Survey pdf

Dit-Yan Yeung, Hao Wang, D. Yeung, 2016, ArXiv.

A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study

Dit-Yan Yeung, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Dit-Yan Yeung, Naiyan Wang, Naiyan Wang, 2014, ICML.

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

Lin Sun, Bertram E. Shi, Dit-Yan Yeung, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval

Xuelong Li, Yue Gao, Hongyuan Zha, 2016, IEEE Transactions on Cybernetics.

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice

Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung, 2008, NIPS.

Multi-task warped Gaussian process for personalized age estimation

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Transferring Rich Feature Hierarchies for Robust Visual Tracking pdf

Abhinav Gupta, Dit-Yan Yeung, Siyi Li, 2015, ArXiv.

Mixtures of ARMA models for model-based time series clustering

Dit-Yan Yeung, Yimin Xiong, D. Yeung, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Using a context-sensitive learning for robot arm control

Dit-Yan Yeung, George A. Gekey, D. Yeung, 1989, Proceedings, 1989 International Conference on Robotics and Automation.

Collaborative Deep Learning for Recommender Systems

Dit-Yan Yeung, Hao Wang, Naiyan Wang, 2014, KDD.

A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking

Qiang Yang, Hong Chang, Dit-Yan Yeung, 2006, AAAI.

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Dit-Yan Yeung, Hao Wang, Xingjian Shi, 2016, NIPS.

Learning a Deep Compact Image Representation for Visual Tracking

Dit-Yan Yeung, Naiyan Wang, Naiyan Wang, 2013, NIPS.

Co-Regularized Hashing for Multimodal Data

Yi Zhen, Dit-Yan Yeung, D. Yeung, 2012, NIPS.

Learning Two-View Stereo Matching

Jianxiong Xiao, Long Quan, Dit-Yan Yeung, 2008, ECCV.

Tensor Embedding Methods

Dit-Yan Yeung, Guang Dai, Guang Dai, 2006, AAAI.

Understanding and Diagnosing Visual Tracking Systems

Dit-Yan Yeung, Jiaya Jia, Jianping Shi, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Transfer Metric Learning with Semi-Supervised Extension

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2012, TIST.

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, 2004, ICML '04.

Multilingual and Multi-Aspect Hate Speech Analysis pdf

Yangqiu Song, Dit-Yan Yeung, Hongming Zhang, 2019, EMNLP.

Local Discriminant Embedding with Tensor Representation

Jian Xia, Dit-Yan Yeung, Guang Dai, 2006, 2006 International Conference on Image Processing.

Coherence Functions for Multicategory Margin-based Classification Methods

Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, 2009, AISTATS.

Instance-specific canonical correlation analysis

Wen Gao, Xilin Chen, Hong Chang, 2015, Neurocomputing.

Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo

Zhihua Zhang, James T. Kwok, Kap Luk Chan, 2004, AAAI.

Recognizing on-line handwritten alphanumeric characters through flexible structural matching

Dit-Yan Yeung, Kam-Fai Chan, D. Yeung, 1999, Pattern Recognit..

Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features

Shu Liao, Dit-Yan Yeung, Wei Fan, 2006, 2006 International Conference on Image Processing.

Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills

Dit-Yan Yeung, Jinseok Lee, D. Yeung, 2019, LAK.

Multi-Task Learning in Heterogeneous Feature Spaces

Dit-Yan Yeung, Yu Zhang, D. Yeung, 2011, AAAI.

Bidirectional Deformable Matching with Application to Handwritten Character Extraction

Dit-Yan Yeung, Roland T. Chin, Kwok-Wai Cheung, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences

Xiaolin Li, Dit-Yan Yeung, 1995, ICSC.

Human action recognition using Local Spatio-Temporal Discriminant Embedding

Dit-Yan Yeung, Kui Jia, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey pdf

Dit-Yan Yeung, Xingjian Shi, D. Yeung, 2018, ArXiv.

Point-Cloud-Based Place Recognition Using CNN Feature Extraction

Ting Sun, Ming Liu, Dit-Yan Yeung, 2019, IEEE Sensors Journal.

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval

Hong Chang, Dit-Yan Yeung, William Kwok-Wai Cheung, 2006, Pattern Recognit..

Sparse Probabilistic Relational Projection

Wu-Jun Li, Dit-Yan Yeung, D. Yeung, 2012, AAAI.

A Neural Network Approach to Constructive Induction

Dit-Yan Yeung, 1991, ML.

Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds

Dit-Yan Yeung, Wei Fan, D. Yeung, 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving pdf

Zhenguo Li, Dit-Yan Yeung, Kai Chen, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Stereo Waterdrop Removal with Row-wise Dilated Attention

Dit-Yan Yeung, Na Fan, Qifeng Chen, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Probabilistic Kernel Matrix Learning with a Mixture Model of Kernels

James T. Kwok, Dit-Yan Yeung, Zhihua Zhang, 2003 .

Semisupervised metric learning by kernel matrix adaptation

Dit-Yan Yeung, Hong Chang, D. Yeung, 2005 .

International Journal on Document Analysis and Recognition Manuscript No. Mathematical Expression Recognition: a Survey

Dit-Yan Yeung, Kam-Fai Chan, D. Yeung, 2000 .

Hidden-mode Markov decision processes

Dit-Yan Yeung, Nevin L. Zhang, Dit-Yan Yeung, 1999, IJCAI 1999.

Gabriel networks: self-organizing neural networks for adaptive vector quantization

Dit-Yan Yeung, D. Yeung, Kwok-Leung Mou, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Recognition of Handwritten Digits Using Deformable

Dit-Yan Yeung, ModelsKwok, - Wai Cheung, 1998 .