Rchr
J-GLOBAL ID:202001006037436130   Update date: Oct. 01, 2022

NGUYEN CUONG TUAN

グエン トゥアン クーン | NGUYEN CUONG TUAN
Affiliation and department:
Job title: Assistant Professor
Research field  (1): Information theory
Research keywords  (4): neural networks ,  machine learning ,  pattern recognition ,  handwriting recognition
Research theme for competitive and other funds  (3):
  • 2021 - 2024 Deep metric learning through local attention and generative loss
  • 2019 - 2023 Enhancement of handwritten mathematical expression recognition through establishment of multi-dimensional structural analysis
  • 2018 - 2021 A Sequence-to-sequence Model based Dissimilarity Measurement for Clustering Structural Data
Papers (42):
  • Haruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, Tsunenori Ishioka. Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese University. AIED (1). 2022. 180-192
  • Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa. Fully automatic scoring of handwritten descriptive answers in Japanese language tests. CoRR. 2022. abs/2201.03215
  • Thanh Nghia Truong, Cuong Tuan Nguyen, Masaki Nakagawa. Syntactic data generation for handwritten mathematical expression recognition. Pattern Recognition Letters. 2022. 153. 83-91
  • Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa. A Transformer-based Math Language Model for Handwritten Math Expression Recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. 12917 LNCS. 403-415
  • Huy Quang Ung, Cuong Tuan Nguyen, Khanh Minh Phan, Vu Tran Minh Khuong, Masaki Nakagawa. Clustering online handwritten mathematical expressions *. PATTERN RECOGNITION LETTERS. 2021. 146. 267-275
more...
MISC (12):
  • Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa. Learning symbol relation tree for online mathematical expression recognition. 2021
  • 森住啓, NGUYEN Cuong Tuan, 清水郁子, 中川正樹. CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition. 電子情報通信学会技術研究報告(Web). 2020. 120. 300(PRMU2020 38-68)
  • NGUYEN Hung Tuan, NAKAMURA Tsubasa, NGUYEN Cuong Tuan, NAKAGAWA Masaki. Online trajectory recovery from offline handwritten Japanese kanji characters. 電子情報通信学会技術研究報告(Web). 2020. 120. 154(PRMU2020 8-17)
  • Liang Xiuyu, Sasaki Shinsuke, Nguyen Cuong Tuan, Nakagawa Masaki. Improvement of a Computer Automated Marking System for Online Handwritten Math Answers employing Machine Recognition (バイオメトリクス). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2019. 118. 512. 13-18
  • 佐藤旭, 小林心, LY Nam Tuan, COUNG Nguyen Tuan, 北本朝展, 北本朝展, 中川正樹. 日本古典籍くずし字文書の文字列認識. 情報処理学会研究報告(Web). 2019. 2019. CH-119
more...
Patents (1):
  • 情報記憶媒体及び文字列認識装置
Education (3):
  • 2014 - 2017 Tokyo University of Agriculture and Technology Department of Electronic and Information Engineering
  • 2012 - 2014 Tokyo University of Agriculture and Technology Department of Computer and Information Sciences
  • 2006 - 2011 Ho Chi Minh City University of Agriculture and Technology Department of Computer Science and Engineering
Work history (2):
  • 2020/04 - 現在 Tokyo University of Agriculture and Technology Institute of Engineering Assistant Professor
  • 2017/05 - 2020/03 Tokyo University of Agriculture and Technology Institute of Engineering Division of Advanced Information Technology & Computer Science Assistant Professor
Association Membership(s) (2):
Institute of Electronics, Information and Communication Engineers ,  IEEE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page