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Yutaka Matsuo

Yutaka Matsuo

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
47
Citations
14985
World Ranking
6321
National Ranking
87

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Yutaka Matsuo is affiliated with the University of Tokyo in Japan and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their body of work spans several specialized areas including artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, atomic and molecular physics and optics, and nuclear and high energy physics.

The scientist's research topics cover a range of advanced themes such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications

Matsuo has published frequently in several venues, with a particular emphasis on:

  • arXiv (Cornell University)
  • Transactions of the Japanese Society for Artificial Intelligence
  • SSRN Electronic Journal
  • Proceedings of the International AAAI Conference on Web and Social Media
  • New Generation Computing

Collaborations have played a significant role in Matsuo's work, with frequent co-authors including:

  • Yusuke Iwasawa
  • Shixiang Gu
  • Edison Marrese-Taylor
  • Masahiro Suzuki
  • Jiaxian Guo

Selected recent papers exemplify the range and scope of Matsuo's research contributions. These include:

  • Large Language Models are Zero-Shot Reasoners, 2022, published in arXiv (Cornell University)
  • Deep learning with RGB and thermal images onboard a drone for monitoring operations, 2022, published in the Journal of Field Robotics
  • Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting, 2022, published in Sensors
  • Graph-based knowledge tracing: Modeling student proficiency using graph neural networks, 2021, published in Web Intelligence
  • Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow, 2022, published in Pattern Recognition Letters

The collection of work by Yutaka Matsuo reflects a strong orientation toward machine learning approaches applied in varied contexts, including robotics, natural language processing, and video analysis. Their interdisciplinary approach encompasses computational techniques and practical applications in emerging technologies.

Best Publications

  • Earthquake shakes Twitter users: real-time event detection by social sensors

    Takeshi Sakaki;Makoto Okazaki;Yutaka Matsuo

  • KEYWORD EXTRACTION FROM A SINGLE DOCUMENT USING WORD CO-OCCURRENCE STATISTICAL INFORMATION

    Yutaka Matsuo;Mitsuru Ishizuka

  • Measuring Semantic Similarity between Words Using Web Search Engines

    Danushka Bollegala;Yutaka Matsuo;Mitsuru Ishizuka

  • Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development

    T. Sakaki;M. Okazaki;Y. Matsuo

  • POLYPHONET: An advanced social network extraction system from the Web

    Yutaka Matsuo;Junichiro Mori;Masahiro Hamasaki;Takuichi Nishimura

  • Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

    Hiromi Nakagawa;Yusuke Iwasawa;Yutaka Matsuo

  • A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

    D. Bollegala;Y. Matsuo;M. Ishizuka

  • The development of an optimal control system for window shading devices based on investigations in office buildings

    T. Inoue;T. Kawase;T. Ibamoto;S. Takakusa

  • POLYPHONET: an advanced social network extraction system from the web

    Yutaka Matsuo;Junichiro Mori;Masahiro Hamasaki;Keisuke Ishida

  • Community gravity: measuring bidirectional effects by trust and rating on online social networks

    Yutaka Matsuo;Hikaru Yamamoto

  • Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

    Mohammadamin Barekatain;Miquel Marti;Hsueh-Fu Shih;Samuel Murray

  • Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder.

    Kei Akuzawa;Yusuke Iwasawa;Yutaka Matsuo

  • Graph-based Word Clustering using a Web Search Engine

    Yutaka Matsuo;Takeshi Sakaki;Kôki Uchiyama;Mitsuru Ishizuka

  • Relational duality: unsupervised extraction of semantic relations between entities on the web

    Danushka Tarupathi Bollegala;Yutaka Matsuo;Mitsuru Ishizuka

  • Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web

    Yulan Yan;Naoaki Okazaki;Yutaka Matsuo;Zhenglu Yang

  • Relation extraction from wikipedia using subtree mining

    Dat P. T. Nguyen;Yutaka Matsuo;Mitsuru Ishizuka

  • Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach☆

    Edison Marrese-Taylor;Juan D. Velásquez;Felipe Bravo-Marquez;Yutaka Matsuo

  • Joint Multimodal Learning with Deep Generative Models

    Masahiro Suzuki;Kotaro Nakayama;Yutaka Matsuo

  • Real-world oriented information sharing using social networks

    Junichiro Mori;Tatsuhiko Sugiyama;Yutaka Matsuo

  • A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

    Pablo Loyola;Edison Marrese-Taylor;Yutaka Matsuo

Frequent Co-Authors

Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
Danushka Bollegala
Danushka Bollegala University of Liverpool
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Helmut Prendinger
Helmut Prendinger National Institute of Informatics
Shixiang Gu
Shixiang Gu Google (United States)
Sergio Escalera
Sergio Escalera University of Barcelona
Stephen Gould
Stephen Gould Australian National University
Boi Faltings
Boi Faltings École Polytechnique Fédérale de Lausanne
Sergey Levine
Sergey Levine University of California, Berkeley

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