World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
14894
World Ranking
2358
National Ranking
14

Research.com Recognitions

  • 2019 - ACM Distinguished Member
  • 2015 - ACM Senior Member

Overview

Vincent S. Tseng is affiliated with National Yang Ming Chiao Tung University in Taiwan. Their research primarily spans the fields of Medicine and Computer Science, with notable contributions in various subfields such as Cardiology and Cardiovascular Medicine, Artificial Intelligence, Ophthalmology, Radiology, Nuclear Medicine and Imaging, and Signal Processing.

Their work covers key topics including ECG Monitoring and Analysis, Data Mining Algorithms and Applications, EEG and Brain-Computer Interfaces, Anomaly Detection Techniques and Applications, Cardiovascular Function and Risk Factors, Data Management and Algorithms, and Machine Learning in Healthcare.

Some recent papers authored or co-authored by Tseng include:

  • Development of a light-weight deep learning model for cloud applications and remote diagnosis of skin cancers, 2020, The Journal of Dermatology
  • Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals, 2021, Computer Methods and Programs in Biomedicine
  • A deep learning approach in diagnosing fungal keratitis based on corneal photographs, 2020, Scientific Reports
  • Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs, 2021, PLoS ONE
  • A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome, 2021, Canadian Journal of Cardiology

Frequent co-authors in Tseng's research include Benny Wei-Yun Hsu, Yu Huang, De-Nian Yang, Jen-Wei Huang, and Ling Chen. These collaborations have contributed to a broad range of publications across multiple venues.

The primary publication venues for Tseng include:

  • IEEE Access
  • Computer Methods and Programs in Biomedicine
  • IEEE Computational Intelligence Magazine
  • Translational Vision Science & Technology
  • IEEE Journal of Biomedical and Health Informatics

In addition to journal articles, Tseng has contributed to book publications, predominantly with Springer Science+Business Media. The books listed include multiple editions of Database Systems for Advanced Applications (2021) and Advances in Knowledge Discovery and Data Mining (2024).

Tseng's recognitions include being named an ACM Distinguished Member in 2019 and an ACM Senior Member in 2015. These awards reflect professional acknowledgement within the computing and academic communities.

Best Publications

  • Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

    V. S. Tseng;Bai-En Shie;Cheng-Wei Wu;P. S. Yu

  • UP-Growth: an efficient algorithm for high utility itemset mining

    Vincent S. Tseng;Cheng-Wei Wu;Bai-En Shie;Philip S. Yu

  • SPMF: a Java open-source pattern mining library

    Philippe Fournier-Viger;Antonio Gomariz;Ted Gueniche;Azadeh Soltani

  • FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning

    Philippe Fournier-Viger;Cheng Wei Wu;Souleymane Zida;Vincent Shin-Mu Tseng

  • A Survey of Utility-Oriented Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

    Peng Jen Chen;Meng Chiung Lin;Mei Ju Lai;Jung Chun Lin

  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

    Ee-Peng Lim;Marianne Winslett;Mark Sanderson;Ada Fu

  • Semantic trajectory mining for location prediction

    Josh Jia-Ching Ying;Wang-Chien Lee;Tz-Chiao Weng;Vincent S. Tseng

  • Efficient Algorithms for Mining Top-K High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • Mining user similarity from semantic trajectories

    Josh Jia-Ching Ying;Eric Hsueh-Chan Lu;Wang-Chien Lee;Tz-Chiao Weng

  • Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns

    Ja-Hwung Su;Wei-Jyun Huang;Philip S Yu;Vincent S Tseng

  • EFIM: a fast and memory efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun-Wei Lin;Cheng-Wei Wu

  • Music Recommendation Using Content and Context Information Mining

    Ja-Hwung Su;Hsin-Ho Yeh;P.S. Yu;V.S. Tseng

  • An efficient algorithm for mining temporal high utility itemsets from data streams

    Chun-Jung Chu;Vincent S. Tseng;Tyne Liang

  • Mining top-K high utility itemsets

    Cheng Wei Wu;Bai-En Shie;Vincent S. Tseng;Philip S. Yu

  • EFIM: A highly efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun Wei Lin;Cheng Wei Wu

  • Mining geographic-temporal-semantic patterns in trajectories for location prediction

    Josh Jia-Ching Ying;Wang-Chien Lee;Vincent S. Tseng

  • An efficient projection-based indexing approach for mining high utility itemsets

    Guo Cheng Lan;Tzung Pei Hong;Vincent S. Tseng

  • Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method

    Vincent S. Tseng;Ching-Pin Kao

  • Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • Efficient mining and prediction of user behavior patterns in mobile web systems

    Vincent S. Tseng;Kawuu W. Lin

Frequent Co-Authors

Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Philippe Fournier-Viger
Philippe Fournier-Viger Shenzhen University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Wensheng Gan
Wensheng Gan Jinan University
Longbing Cao
Longbing Cao University of Technology Sydney
Sun-Yuan Hsieh
Sun-Yuan Hsieh National Cheng Kung University
Jian Pei
Jian Pei Duke University
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University
Hung-Min Sun
Hung-Min Sun National Tsing Hua University
Kuan-Ta Chen
Kuan-Ta Chen Academia Sinica

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