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Computer Science
China
2023

D-Index & Metrics

Computer Science

D-Index
74
Citations
35003
World Ranking
1452
National Ranking
196

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award

Overview

Dit-Yan Yeung is affiliated with the Hong Kong University of Science and Technology in China. Their research work spans the main field of Computer Science, with a particular focus on several subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Automotive Engineering, and Computer Graphics and Computer-Aided Design.

The scientist's research addresses various topics including Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Natural Language Processing Techniques, Topic Modeling, Complex Network Analysis Techniques, Multimodal Machine Learning Applications, and Generative Adversarial Networks and Image Synthesis.

Dit-Yan Yeung has contributed to numerous papers published in diverse venues, with recent works including:

  • A Survey on Bayesian Deep Learning, 2020, ACM Computing Surveys
  • Earthformer: Exploring Space-Time Transformers for Earth System Forecasting, 2022, arXiv (Cornell University)
  • Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Temporal Link Prediction: A Unified Framework, Taxonomy, and Review, 2023, ACM Computing Surveys
  • High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation, 2023, IEEE Transactions on Knowledge and Data Engineering

The venues where Dit-Yan Yeung frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Computing Surveys
  • Pattern Recognition
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Frequent collaborators of Dit-Yan Yeung comprise Lanqing Hong, Zhenguo Li, Qifeng Chen, Kai Chen, and Zifan Shi.

Best Publications

  • Convolutional LSTM Network: a machine learning approach for precipitation nowcasting

    Xingjian Shi;Zhourong Chen;Hao Wang;Dit-Yan Yeung

  • Super-resolution through neighbor embedding

    Hong Chang;Dit-Yan Yeung;Yimin Xiong

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Collaborative Deep Learning for Recommender Systems

    Hao Wang;Naiyan Wang;Dit-Yan Yeung

  • Learning a Deep Compact Image Representation for Visual Tracking

    Naiyan Wang;Dit-Yan Yeung

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

    Xingjian Shi;Zhihan Gao;Leonard Lausen;Hao Wang

  • Dynamic Key-Value Memory Networks for Knowledge Tracing

    Jiani Zhang;Xingjian Shi;Irwin King;Dit-Yan Yeung

  • Robust path-based spectral clustering

    Hong Chang;Dit-Yan Yeung

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

    Tin-Yau Kwok;Dit-Yan Yeung

  • Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

    Lin Sun;Kui Jia;Dit-Yan Yeung;Bertram E. Shi

  • SVC2004: First International Signature Verification Competition

    Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

  • Host-based intrusion detection using dynamic and static behavioral models

    Dit-Yan Yeung;Yuxin Ding

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

    Jiani Zhang;Xingjian Shi;Junyuan Xie;Hao Ma

  • Mathematical expression recognition: a survey

    Kam-Fai Chan;Dit Yan Yeung

  • Understanding and Diagnosing Visual Tracking Systems

    Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia

  • Parzen-window network intrusion detectors

    Dit-Yan Yeung;C. Chow

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

    Siyi Li;Dit Yan Yeung

  • A convex formulation for learning task relationships in multi-task learning

    Yu Zhang;Dit-Yan Yeung

  • Transferring Rich Feature Hierarchies for Robust Visual Tracking

    Naiyan Wang;Siyi Li;Abhinav Gupta;Dit-Yan Yeung

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

    Chuang Gan;Naiyan Wang;Yi Yang;Dit-Yan Yeung

Frequent Co-Authors

Yu Zhang
Yu Zhang Southern University of Science and Technology
Hong Chang
Hong Chang Chinese Academy of Sciences
Naiyan Wang
Naiyan Wang Hong Kong University of Science and Technology
James T. Kwok
James T. Kwok Hong Kong University of Science and Technology
George A. Bekey
George A. Bekey University of Southern California
Kui Jia
Kui Jia South China University of Technology
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Shaojie Shen
Shaojie Shen Hong Kong University of Science and Technology
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Silvio Savarese
Silvio Savarese Stanford University

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