D. Yeung

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..

Dynamic Key-Value Memory Networks for Knowledge Tracing

Dit-Yan Yeung, Irwin King, Jiani Zhang, 2016, WWW.

Adaptive Transfer Learning

Qiang Yang, Bin Cao, Dit-Yan Yeung, 2010, AAAI.

Host-based intrusion detection using dynamic and static behavioral models

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

A Kernel Approach for Semisupervised Metric Learning

Hong Chang, Dit-Yan Yeung, D. Yeung, 2007, IEEE Transactions on Neural Networks.

Objective functions for training new hidden units in constructive neural networks

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

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

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

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..

Marginalized Average Attentional Network for Weakly-Supervised Learning pdf

Yueming Lyu, Ivor W. Tsang, Xi Shen, 2019, ICLR.

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

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

Model-based transductive learning of the kernel matrix

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

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.

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

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

Handling dimensionality and nonlinearity in connectionist learning

George A. Bekey, Dit-Yan Yeung, G. Bekey, 1989 .

Structuring Visual Words in 3D for Arbitrary-View Object Localization

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

Learning Two-View Stereo Matching

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

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

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

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..

Spatiotemporal Modeling for Crowd Counting in Videos

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

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).

DevNet: A Deep Event Network for multimedia event detection and evidence recounting

Yi Yang, Chuang Gan, Alexander G. Hauptmann, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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.

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

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

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).

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).

Lattice Long Short-Term Memory for Human Action Recognition

Lin Sun, Silvio Savarese, Kevin Chen, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Online Robust Non-negative Dictionary Learning for Visual Tracking

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

Multilingual and Multi-Aspect Hate Speech Analysis pdf

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

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

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

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

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

Relational Stacked Denoising Autoencoder for Tag Recommendation

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

An Environment Model for Nonstationary Reinforcement Learning

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

Time series clustering with ARMA mixtures

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

Recognizing on-line handwritten alphanumeric characters through flexible structural matching

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

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).

A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters

Dit-Yan Yeung, Kam Fai Chan, D. Yeung, 1998 .

Elastic structural matching for recognizing on-line handwritten alphanumeric characters

D. Yeung, Kam-Fai Chan, 1998 .

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.

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

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

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.

Multi-Domain Collaborative Filtering

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

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).

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).

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

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

Kernel-based distance metric learning for content-based image retrieval

Hong Chang, Dit-Yan Yeung, D. Yeung, 2007, Image Vis. Comput..

Active hashing and its application to image and text retrieval

Yi Zhen, Dit-Yan Yeung, D. Yeung, 2012, Data Mining and Knowledge Discovery.

A probabilistic model for multimodal hash function learning

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

A learning approach to spam detection based on social networks

Dit-Yan Yeung, Ho-yu Lam, D. Yeung, 2007 .

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey pdf

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

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

D. Yeung, Hao Wang, 2016 .

Latent Wishart Processes for Relational Kernel Learning

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

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

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

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs

D. Yeung, Chaorui Zhang, Bo Bai, 2023, ACM Transactions on Knowledge Discovery from Data.

Gaussian Process Latent Random Field

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

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

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

Multilabel relationship learning

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

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following

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

Adaptive Transfer Learning

Sinno Jialin Pan, D. Yeung, Qiang Yang, 2010 .

Co-Regularized Hashing for Multimodal Data

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

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

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

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..

Relation regularized matrix factorization

Wu-Jun Li, Dit-Yan Yeung, D. Yeung, 2009, IJCAI 2009.

Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing

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).

Surrogate maximization/minimization algorithms and extensions

Zhihua Zhang, James T. Kwok, Dit-Yan Yeung, 2007, Machine Learning.

Face recognition using a kernel fractional-step discriminant analysis algorithm

Yuntao Qian, Dit-Yan Yeung, Guang Dai, 2007, Pattern Recognit..

Towards Bayesian Deep Learning: A Survey

D. Yeung, Hao Wang, 2016, ArXiv.

Bayesian Regularization in Constructive Neural Networks

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

MILD: Multiple-Instance Learning via Disambiguation

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

SED: supervised experimental design and its application to text classification

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

Solving Hidden-Mode Markov Decision Problems

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

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.

Transductive Learning on Adaptive Graphs

D. Yeung, Cheng-Lin Liu, Xinwen Hou, 2010, AAAI.

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval

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

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..

Some Research Problems in Metric Learning and Manifold Learning

Hong Chang, Dit-Yan Yeung, D. Yeung, 2004 .

Multi-Task Learning in Heterogeneous Feature Spaces

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

Region Selection based on Evidence Confidence for Localized Content-Based Image Retrieval

Dit-yan Yeung, D. Yeung, Wu-Jun Li, 2009 .

High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation

D. Yeung, Chaorui Zhang, Bo Bai, 2023, IEEE Transactions on Knowledge and Data Engineering.

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension

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

The Visual Object Tracking VOT2016 Challenge Results

Gao, Philip H. S. Torr, Noor M. Al-Shakarji, 2016, ECCV Workshops.

User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models

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

Multi-Task Boosting by Exploiting Task Relationships

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

Semi-Supervised Multi-Task Regression

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

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

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

A kernel path algorithm for support vector machines

Gang Wang, Frederick H. Lochovsky, Dit-Yan Yeung, 2007, ICML '07.

The Kernel Path in Kernelized LASSO

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

Solution Path for Semi-Supervised Classification with Manifold Regularization

Gang Wang, Tao Chen, Frederick H. Lochovsky, 2006, Sixth International Conference on Data Mining (ICDM'06).

Two-dimensional solution path for support vector regression

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

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

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

Transfer Metric Learning with Semi-Supervised Extension

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

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs

D. Yeung, Chaorui Zhang, Bo Bai, 2023, ACM Trans. Knowl. Discov. Data.

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

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

Robust deformable matching for character extraction

Dit-Yan Yeung, Roland T. Chin, Kwokwai Cheung, 1999 .

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.

Transfer metric learning by learning task relationships

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

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.

Relaxational metric adaptation: a nonparametric approach to distance metric learning for clustering with pairwise side information

Hong Chang, Dit-Yan Yeung, D. Yeung, 2003 .

Throttling spoofed SYN flooding traffic at the source

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

The United States COVID-19 Forecast Hub dataset

Benjamin D. Trump, Julie S. Ivy, Sercan Ö. Arik, 2021, Scientific Data.

Improving the approximation and convergence capabilities of projection pursuit learning

James T. Kwok, Dit-Yan Yeung, D. Yeung, 1995, Neural Processing Letters.

Constructive neural networks as estimators of bayesian discriminant functions

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

Towards General Error Diagnosis via Behavioral Testing in Machine Translation

D. Yeung, Junjie Wu, Lemao Liu, 2023, EMNLP.

Dynamic Key-Value Memory Network for Knowledge Tracing

D. Yeung, Xingjian Shi, Jiani Zhang, 2016, ArXiv.

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

D. Yeung, Hong Chang, 2006, Pattern Recognit..

Kernel-Based Metric Adaptation with Pairwise Constraints

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

Locally linear metric adaptation for semi-supervised clustering

Hong Chang, Dit-Yan Yeung, D. Yeung, 2004, ICML.

Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance

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