D-Index & Metrics Best Publications

Dit-Yan Yeung

Hong Kong University of Science and Technology
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 69 Citations 26,685 249 World Ranking 1210 National Ranking 114

Overview

What is he best known for?

The fields of study Dit-Yan Yeung is best known for:

Machine learning
Statistics
Artificial neural network

Nowcasting and Precipitation are fields of study that overlap with his Meteorology research. He merges many fields, such as Precipitation and Meteorology, in his writings. Dit-Yan Yeung undertakes interdisciplinary study in the fields of Artificial intelligence and Probabilistic logic through his works. He incorporates Machine learning and Mathematical optimization in his studies. By researching both Mathematical optimization and Machine learning, he produces research that crosses academic boundaries. His Algorithm study frequently draws connections to other fields, such as State (computer science). His research links Algorithm with State (computer science). In his works, he performs multidisciplinary study on Programming language and Operating system. As part of his studies on Operating system, he often connects relevant areas like Constructive.

His most cited work include:

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (945 citations)
Robust path-based spectral clustering (445 citations)
Constructive algorithms for structure learning in feedforward neural networks for regression problems. (430 citations)

What are the main themes of his work throughout his whole career to date

His Artificial intelligence study frequently draws parallels with other fields, such as Pattern recognition (psychology), Image (mathematics), Probabilistic logic, Deep learning, Artificial neural network and Bayesian probability. Many of his studies involve connections with topics such as Deep learning and Artificial neural network and Machine learning. Dit-Yan Yeung integrates several fields in his works, including Algorithm and Artificial intelligence. Dit-Yan Yeung merges Statistics with Machine learning in his study.

Dit-Yan Yeung most often published in these fields:

Artificial intelligence (95.51%)
Machine learning (51.69%)
Pattern recognition (psychology) (37.08%)

What were the highlights of his more recent work (between 2018-2022)?

Artificial intelligence (85.71%)
Machine learning (57.14%)
Operating system (42.86%)

In recent works Dit-Yan Yeung was focusing on the following fields of study:

Dit-Yan Yeung performs multidisciplinary study in the fields of Artificial intelligence and Cognitive psychology via his papers. Dit-Yan Yeung combines Cognitive psychology and Artificial intelligence in his studies. He undertakes interdisciplinary study in the fields of Machine learning and Bayesian network through his research. While working on this project, he studies both Bayesian network and Bayesian inference. In his study, he carries out multidisciplinary Operating system and Tracing research. Dit-Yan Yeung merges many fields, such as Deep learning and Graphical model, in his writings. Dit-Yan Yeung conducts interdisciplinary study in the fields of Graphical model and Deep learning through his research. Probabilistic logic and Inference are two areas of study in which Dit-Yan Yeung engages in interdisciplinary work. With his scientific publications, his incorporates both Inference and Probabilistic logic.

Between 2018 and 2022, his most popular works were:

A Survey on Bayesian Deep Learning (43 citations)
The United States COVID-19 Forecast Hub dataset (14 citations)
Marginalized Average Attentional Network for Weakly-Supervised Learning (13 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Convolutional LSTM Network: a machine learning approach for precipitation nowcasting

Xingjian Shi;Zhourong Chen;Hao Wang;Dit-Yan Yeung.
neural information processing systems (2015)

4106 Citations

Super-resolution through neighbor embedding

Hong Chang;Dit-Yan Yeung;Yimin Xiong.
computer vision and pattern recognition (2004)

2517 Citations

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg.
european conference on computer vision (2016)

1840 Citations

Collaborative Deep Learning for Recommender Systems

Hao Wang;Naiyan Wang;Dit-Yan Yeung.
knowledge discovery and data mining (2015)

1485 Citations

Learning a Deep Compact Image Representation for Visual Tracking

Naiyan Wang;Dit-Yan Yeung.
neural information processing systems (2013)

1116 Citations

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

Tin-Yau Kwok;Dit-Yan Yeung.
IEEE Transactions on Neural Networks (1997)

658 Citations

Robust path-based spectral clustering

Hong Chang;Dit-Yan Yeung.
Pattern Recognition (2008)

587 Citations

Host-based intrusion detection using dynamic and static behavioral models

Dit-Yan Yeung;Yuxin Ding.
Pattern Recognition (2003)

571 Citations

SVC2004: First International Signature Verification Competition

Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George.
Lecture Notes in Computer Science (2004)

569 Citations

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

Lin Sun;Kui Jia;Dit-Yan Yeung;Bertram E. Shi.
international conference on computer vision (2015)

539 Citations

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