Rchr
J-GLOBAL ID：202001006037436130
Update date: Nov. 14, 2024
NGUYEN CUONG TUAN
グエン トゥアン クーン | NGUYEN CUONG TUAN
Affiliation and department：
Job title：
Lecturer
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 (46)：
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Thanh-Nghia Truong, Cuong Tuan Nguyen, Richard Zanibbi, Harold Mouchère, Masaki Nakagawa. A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognit. 2024. 153. 110531-110531
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Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong. ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. ICDAR (2). 2023. 553-565
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Tomo Asakura, Hung Nguyen, Nghia Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie, et al. Digitalizing educational workbooks and collecting handwritten answers for automatic scoring. iTextbooks@AIED. 2023. 78-87
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Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa. Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language Tests. ICFHR. 2022. 274-284
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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. 13355 LNCS. 180-192
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MISC (12)：
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Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa. Learning symbol relation tree for online mathematical expression recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. 13189 LNCS. 307-321
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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)
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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)
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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
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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
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Patents (1)：
Education (3)：
- 2014 - 2017 Tokyo University of Agriculture and Technology Graduate School of Engineering Department of Electronic and Information Engineering
- 2012 - 2014 Tokyo University of Agriculture and Technology Graduate School of Engineering Department of Computer and Information Sciences
- 2006 - 2011 Ho Chi Minh City University of Agriculture and Technology Department of Computer Science and Engineering
Professional career (1)：
- Doctor of Engineering (Tokyo University of Agriculture and Technology)
Work history (3)：
- 2022/04 - 2023/03 Tokyo University of Agriculture and Technology WACOM-TUAT Joint Research Laboratory Associate Professor
- 2020/04 - 2021/03 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
