LY Tuan Nam
准教授
LY Tuan Nam リー トゥアン ナム りー とぅあん なむ
プロフィール
最終学歴・学位
東京農工大学
博士（工学）
Tokyo University of Agriculture and Technology
PhD (Engineering)
専門・研究分野
データサイエンス・AI、機械学習、深層学習
Data Science, AI, Machine Learning, Deep Learning
研究
研究テーマ
[日本語]
1) コンピュータビジョンによる観光地画像認識、人流・混雑の把握、案内表示やメニューの文書解析.
2) 移動履歴・気象・祝日・検索動向・SNS情報などを用いた観光需要予測.
3) マルチモーダルデータによる観光行動や感情の分析.
4) 文書画像解析・認識.
5) 文書画像に対する質問応答.
6) 自動採点・採点支援.
[English]
1) Computer vision for tourism image recognition, human mobility and crowd analysis, and document analysis of signage and menus.
2) Tourism demand forecasting using mobility data, weather, holidays, search trends, and social media data.
3) Analysis of tourist behavior and emotions using multimodal data.
4) Document Analysis and Recognition.
5) Document Visual Question Answering.
6) Automatic/Semi-automatic Scoring.
研究キーワード
[日本語]
データサイエンス、人工知能、機械学習、深層学習
コンピュータビジョン、大規模言語モデル、文書解析・認識
観光情報学、観光データ分析、時系列予測
[English]
Data Science, AI, Machine Learning, Deep Learning
Computer Vision, Large Language Model, Document Analysis and Recognition
Tourism Informatics, Tourism Data Analysis, Time Series Forecasting
詳細情報
近年の主要なものは以下の通り。
（詳細は researchmap を参照のこと）
[Papers]
- Multilingual Table Recognition: A Benchmark Dataset and A Local-Global Hybrid Model, Nam Tuan Ly, Atsuhiro Takasu, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 629-644, Aug 26, 2026.
- Hierarchical Stroke-Level Clustering and Step-Level Segmentation for Automatic Scoring of Geometric Construction Answers with an Electronic Drawing Compass, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 662-677, Aug 24, 2026.
- Automated Character-Level Annotation for Historical Nom Documents via an Iterative Self-updating Radical-Based Recognizer, Cuong Tuan Nguyen, Khoa Nguyen Tran, Ngoc Tuan Nguyen, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 469-485, Aug 24, 2026.
- Contrastive Network-Based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masamitsu Ito, Masaki Nakagawa, Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science, pp. 132-140, Jun 28, 2026.
- Siamese Network-Based Handwritten Pattern Similarity for Few-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, pp. 197-206, Mar, 2026.
- Automatic Scoring System for Digitized Handwritten Answers, Tomo Asakura, Hung T. Nguyen, Thanh-Nghia Truong, Yoichi Tsuchida, Takahiro Yamamoto, Hiroshi Miyazawa, Nam T. Ly, Masato Nemoto, Masamitsu Ito, Toshihiko Horie, Keiichi Kaneko, Masaki Nakagawa, IEEE Access, vol. 14, pp. 25949-25967, Feb 11, 2026.
- Automated Recognition and Scoring of Handwritten Short Answer: Insights from Japanese Elementary and Junior High Schools, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, Document Analysis and Recognition – ICDAR 2025. ICDAR 2025. Lecture Notes in Computer Science, vol 16026. Springer, pp. 281-293, Sep 16, 2025.
- TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images, Pongsakorn Jirachanchaisiri, Nam Tuan Ly, Atsuhiro Takasu, Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 8844-8852, Feb 26, 2025.
- Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, Masaki Nakagawa, Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Tomo Asakura, Hiroshi Miyazawa, Takahiro Yamamoto, Toshihiko Horie, Fumiko Yasuno, Document Analysis Systems. DAS 2024. Lecture Notes in Computer Science, vol 14994. Springer, pp. 3-19, Sep 11, 2024.
- Content-Based Similarity for Automatic Scoring of Handwritten Descriptive Answers, Nghia Thanh Truong, Hung Tuan Nguyen, Nam Tuan Ly, Toshihiko Horie, Masaki Nakagawa, Document Analysis and Recognition - ICDAR 2024. ICDAR 2024. Lecture Notes in Computer Science, vol 14805. Springer, pp. 268-281, Sep 3, 2024.
- An End-to-End Local Attention Based Model for Table Recognition, Nam Tuan Ly, Atsuhiro Takasu, Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, vol 14188. Springer, pp. 20-36, Aug 19, 2023.
- An End-to-End Multi-Task Learning Model for Image-based Table Recognition, Nam Ly, Atsuhiro Takasu, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, pp. 626-634, Feb, 2023.
- Rethinking Image-Based Table Recognition Using Weakly Supervised Methods, Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen, Hideaki Takeda, Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, pp. 872-880, Feb, 2023.
- Digitalizing educational workbooks and collecting handwritten answers for automatic scoring., Tomo Asakura, Hung Nguyen, Nghia Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Tsunenori Ishioka, Kokoro Kobayashi, Ikuko Shimizu, Masaki Nakagawa, iTextbooks@AIED, pp. 78-87, 2023.
- Handwritten text recognition by deep neural networks, Nam Tuan Ly, PhD Thesis (Tokyo University of Agriculture and Technology), 博工甲第1204号, Sep, 2021.
- A Self-attention Based Model for Offline Handwritten Text Recognition., Nam Tuan Ly, Trung Tan Ngo, Masaki Nakagawa, Pattern Recognition. ACPR 2021. Lecture Notes in Computer Science, vol 13189. Springer, pp. 356-369, 2021.
- 2D Self-attention Convolutional Recurrent Network for Offline Handwritten Text Recognition, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science(), vol 12821. Springer, vol. 12821 LNCS, pp. 191-204, 2021.
- Recurrent Neural Network Transducer for Japanese and Chinese Offline Handwritten Text Recognition, Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science(), vol 12917. Springer, vol. 12917 LNCS, pp. 364-376, 2021.
- Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2020-September, pp. 163-168, Sep, 2020.
- An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Pattern Recognition Letters, vol. 136, pp. 134-141, Aug, 2020.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Pattern Recognition and Artificial Intelligence. ICPRAI 2020. Lecture Notes in Computer Science(), vol 12068. Springer, vol. 12068 LNCS, pp. 109-114, 2020.
- An attention-based end-to-end model for multiple text lines recognition in japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 629-634, Sep, 2019.
- 階層化された情報システムのためのくずし字解読機能の試作—A prototype of historical Kuzushi-ji decoding function for information systems with multi-layered structure design, 耒代 誠仁, リー トゥアン・ナム, グエン コング・カー, 中川 正樹, 山本 和明, 日本情報考古学会講演論文集 = Papers and proceedings of Japan Society for Archaeological Information / 日本情報考古学会 編, vol. 22, pp. 11-15, 2019.
- Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation, Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly, HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 37-41, 2019.
- Recognition of anomalously deformed kana sequences in Japanese historical documents, Ly, N.T., Nguyen, K.C., Nguyen, C.T., Nakagawa, M., IEICE Transactions on Information and Systems, vol. E102D, 8, pp. 1554-1564, 2019.
- Segmentation-free Offline Handwritten Japanese Text Recognition by Deep Neural Networks, Nam Tuan Ly, Master Thesis (Tokyo University of Agriculture and Technology), Sep, 2018.
- Training an End-to-End Model for Offline Handwritten Japanese Text Recognition by Generated Synthetic Patterns, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), vol. 2018-August, pp. 74-79, 2018.
- Multi-column CNNs for skeleton based human gesture recognition, Dai Hai Nguyen, Tuan Nam Ly, Thi Huong Truong, Duc Dung Nguyen, Proceedings - 2017 9th International Conference on Knowledge and Systems Engineering, KSE 2017, vol. 2017-January, pp. 179-184, Nov 22, 2017.
- Attempts to recognize anomalously deformed Kana in Japanese historical documents, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, ACM International Conference Proceeding Series, pp. 31-36, Nov 10, 2017.
- Deep Convolutional Recurrent Network for Segmentation-free Offline Handwritten Japanese Text Recognition, Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, Proceedings of the 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 7, pp. 5-9, 2017.
[Misc.]
- Contrastive Learning Network for Zero-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-58, pp. 90-95, 2026年3月25日.
- Automatic Scoring of Answers using a Digital Compass for Geometric Construction Problems, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-53, pp. 63-67, 2026年3月24日.
- 電子ペーパに筆記される手書き解答自動採点システムの目標と設計指針, 中川正樹, グエン トゥアンフーン, トルン タン ギア, リートゥアン ナム, グエントゥアンクーン, 朝倉 僚, 宮澤 寛, 堀江利彦, 教育工学研究会（ET）, 2025年3月.
- Automatic scoring for handwritten answers from elementary to junior high school grades in Japan, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, 教育工学研究会 (ET), 2025年3月.
- Siamese Network-based Answer Similarity for Automatically Scoring Handwritten Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), 2025年3月.
- 電子ペンでの手書き解答に対する自動採点システム, 朝倉僚, NGUYEN Tuan Hung, TRUONG Thanh-Nghia, 土田洋一, 山本高廣, 宮澤寛, LY Tuan Nam, 根本雅人, 伊藤雅充, 堀江利彦, 金子敬一, 中川正樹, 情報処理学会研究報告(Web), vol. 2025, CE-181, 2025年.
- 手書き幾何図形解答の自動採点に向けた正答例の記述, 宮澤 寛, 朝倉 僚, グエントゥアン フーン, トルンタン ギア, リートゥアン ナム, 安野 史子, 堀江 利彦, 中川 正樹, 日本教育工学会 2024年春季全国大会, 2024年3月.
- TabIQA: Table Questions Answering on Business Document Images, Nam Tuan Ly, Phuc Nguyen, Hideaki Takeda, Atsuhiro Takasu, 2023年3月27日.
- 013 Ⅱ論考編 研究成果の活用と関連研究 変体仮名の認識, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, 中川,正樹, 木簡など出土文字資料の資源化のための機能的情報集約と知の結集, pp. 199-202, 2019年3月25日.
- 日本古典籍くずし字文書の文字列認識, 佐藤 旭, 小林 心, Nam Tuan Ly, Nguyen Tuan Cuong, 北本 朝展, 中川 正樹, 人文科学とコンピュータ研究会, vol. 2019-CH-119, 4, pp. 1-4, 2019年2月.
- 古典籍のくずし字をAIが認識, Nam Tuan Ly, Kha Cong Nguyen, プレスリリース（東京農工大学）, 2017年12月.
[Presentations]
- Tutorials in Handwritten Mathematical Expression (HME) Recognition, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, 27th International Conference on Pattern Recognition (ICPR), Dec 1, 2024.
- Kuzushiji Recognition by Deep Convolutional Recurrent Networks, Nam Tuan Ly, IPSJ SIG Computers and the Humanities, Jan 27, 2018.
[Industrial Property Rights]
- 採点システム及び採点方法, 中川 正樹, グエン トゥアン フーン, リー トゥアン ナム, トルン タン ギア, 朝倉 僚, 宮澤 寛, 堀江 利彦, 特願2024-139228, 2024年8月20日.
- 自動採点装置、プログラム、及びシステム, 宮澤 寛, 朝倉 僚, 堀江 利彦, 山本 高廣, 土田 洋一, 伊藤 雅充, 安野 史子, 中川 正樹, グエン トゥアン フーン, トルン タン ギア, リー トゥアン ナム, 特願2024-030402, 2024年2月29日.
（詳細は researchmap を参照のこと）
[Papers]
- Multilingual Table Recognition: A Benchmark Dataset and A Local-Global Hybrid Model, Nam Tuan Ly, Atsuhiro Takasu, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 629-644, Aug 26, 2026.
- Hierarchical Stroke-Level Clustering and Step-Level Segmentation for Automatic Scoring of Geometric Construction Answers with an Electronic Drawing Compass, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 662-677, Aug 24, 2026.
- Automated Character-Level Annotation for Historical Nom Documents via an Iterative Self-updating Radical-Based Recognizer, Cuong Tuan Nguyen, Khoa Nguyen Tran, Ngoc Tuan Nguyen, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2026. Lecture Notes in Computer Science, pp. 469-485, Aug 24, 2026.
- Contrastive Network-Based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masamitsu Ito, Masaki Nakagawa, Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science, pp. 132-140, Jun 28, 2026.
- Siamese Network-Based Handwritten Pattern Similarity for Few-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, pp. 197-206, Mar, 2026.
- Automatic Scoring System for Digitized Handwritten Answers, Tomo Asakura, Hung T. Nguyen, Thanh-Nghia Truong, Yoichi Tsuchida, Takahiro Yamamoto, Hiroshi Miyazawa, Nam T. Ly, Masato Nemoto, Masamitsu Ito, Toshihiko Horie, Keiichi Kaneko, Masaki Nakagawa, IEEE Access, vol. 14, pp. 25949-25967, Feb 11, 2026.
- Automated Recognition and Scoring of Handwritten Short Answer: Insights from Japanese Elementary and Junior High Schools, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, Document Analysis and Recognition – ICDAR 2025. ICDAR 2025. Lecture Notes in Computer Science, vol 16026. Springer, pp. 281-293, Sep 16, 2025.
- TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images, Pongsakorn Jirachanchaisiri, Nam Tuan Ly, Atsuhiro Takasu, Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 8844-8852, Feb 26, 2025.
- Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, Masaki Nakagawa, Hung Tuan Nguyen, Nghia Thanh Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Tomo Asakura, Hiroshi Miyazawa, Takahiro Yamamoto, Toshihiko Horie, Fumiko Yasuno, Document Analysis Systems. DAS 2024. Lecture Notes in Computer Science, vol 14994. Springer, pp. 3-19, Sep 11, 2024.
- Content-Based Similarity for Automatic Scoring of Handwritten Descriptive Answers, Nghia Thanh Truong, Hung Tuan Nguyen, Nam Tuan Ly, Toshihiko Horie, Masaki Nakagawa, Document Analysis and Recognition - ICDAR 2024. ICDAR 2024. Lecture Notes in Computer Science, vol 14805. Springer, pp. 268-281, Sep 3, 2024.
- An End-to-End Local Attention Based Model for Table Recognition, Nam Tuan Ly, Atsuhiro Takasu, Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, vol 14188. Springer, pp. 20-36, Aug 19, 2023.
- An End-to-End Multi-Task Learning Model for Image-based Table Recognition, Nam Ly, Atsuhiro Takasu, Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, pp. 626-634, Feb, 2023.
- Rethinking Image-Based Table Recognition Using Weakly Supervised Methods, Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen, Hideaki Takeda, Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, pp. 872-880, Feb, 2023.
- Digitalizing educational workbooks and collecting handwritten answers for automatic scoring., Tomo Asakura, Hung Nguyen, Nghia Truong, Nam Tuan Ly, Cuong Tuan Nguyen, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Tsunenori Ishioka, Kokoro Kobayashi, Ikuko Shimizu, Masaki Nakagawa, iTextbooks@AIED, pp. 78-87, 2023.
- Handwritten text recognition by deep neural networks, Nam Tuan Ly, PhD Thesis (Tokyo University of Agriculture and Technology), 博工甲第1204号, Sep, 2021.
- A Self-attention Based Model for Offline Handwritten Text Recognition., Nam Tuan Ly, Trung Tan Ngo, Masaki Nakagawa, Pattern Recognition. ACPR 2021. Lecture Notes in Computer Science, vol 13189. Springer, pp. 356-369, 2021.
- 2D Self-attention Convolutional Recurrent Network for Offline Handwritten Text Recognition, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science(), vol 12821. Springer, vol. 12821 LNCS, pp. 191-204, 2021.
- Recurrent Neural Network Transducer for Japanese and Chinese Offline Handwritten Text Recognition, Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa, Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science(), vol 12917. Springer, vol. 12917 LNCS, pp. 364-376, 2021.
- Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2020-September, pp. 163-168, Sep, 2020.
- An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Pattern Recognition Letters, vol. 136, pp. 134-141, Aug, 2020.
- Hand-Drawn Object Detection for Scoring Wartegg Zeichen Test, Nam Tuan Ly, Lili Liu, Ching Y. Suen, Masaki Nakagawa, Pattern Recognition and Artificial Intelligence. ICPRAI 2020. Lecture Notes in Computer Science(), vol 12068. Springer, vol. 12068 LNCS, pp. 109-114, 2020.
- An attention-based end-to-end model for multiple text lines recognition in japanese historical documents, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 629-634, Sep, 2019.
- 階層化された情報システムのためのくずし字解読機能の試作—A prototype of historical Kuzushi-ji decoding function for information systems with multi-layered structure design, 耒代 誠仁, リー トゥアン・ナム, グエン コング・カー, 中川 正樹, 山本 和明, 日本情報考古学会講演論文集 = Papers and proceedings of Japan Society for Archaeological Information / 日本情報考古学会 編, vol. 22, pp. 11-15, 2019.
- Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation, Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly, HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 37-41, 2019.
- Recognition of anomalously deformed kana sequences in Japanese historical documents, Ly, N.T., Nguyen, K.C., Nguyen, C.T., Nakagawa, M., IEICE Transactions on Information and Systems, vol. E102D, 8, pp. 1554-1564, 2019.
- Segmentation-free Offline Handwritten Japanese Text Recognition by Deep Neural Networks, Nam Tuan Ly, Master Thesis (Tokyo University of Agriculture and Technology), Sep, 2018.
- Training an End-to-End Model for Offline Handwritten Japanese Text Recognition by Generated Synthetic Patterns, Nam Tuan Ly, Cuong Tuan Nguyen, Masaki Nakagawa, PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), vol. 2018-August, pp. 74-79, 2018.
- Multi-column CNNs for skeleton based human gesture recognition, Dai Hai Nguyen, Tuan Nam Ly, Thi Huong Truong, Duc Dung Nguyen, Proceedings - 2017 9th International Conference on Knowledge and Systems Engineering, KSE 2017, vol. 2017-January, pp. 179-184, Nov 22, 2017.
- Attempts to recognize anomalously deformed Kana in Japanese historical documents, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, ACM International Conference Proceeding Series, pp. 31-36, Nov 10, 2017.
- Deep Convolutional Recurrent Network for Segmentation-free Offline Handwritten Japanese Text Recognition, Nam-Tuan Ly, Cuong-Tuan Nguyen, Kha-Cong Nguyen, Masaki Nakagawa, Proceedings of the 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 7, pp. 5-9, 2017.
[Misc.]
- Contrastive Learning Network for Zero-Shot Automatic Scoring of Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-58, pp. 90-95, 2026年3月25日.
- Automatic Scoring of Answers using a Digital Compass for Geometric Construction Problems, Thanh-Nghia Truong, Hung Tuan Nguyen, Nam Tuan Ly, Yoichi Tsuchida, Hiroshi Miyazawa, Tomo Asakura, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), vol. PRMU2025-53, pp. 63-67, 2026年3月24日.
- 電子ペーパに筆記される手書き解答自動採点システムの目標と設計指針, 中川正樹, グエン トゥアンフーン, トルン タン ギア, リートゥアン ナム, グエントゥアンクーン, 朝倉 僚, 宮澤 寛, 堀江利彦, 教育工学研究会（ET）, 2025年3月.
- Automatic scoring for handwritten answers from elementary to junior high school grades in Japan, Hung Tuan Nguyen, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, Toshihiko Horie, 教育工学研究会 (ET), 2025年3月.
- Siamese Network-based Answer Similarity for Automatically Scoring Handwritten Very Short Answers, Nam Tuan Ly, Hung Tuan Nguyen, Masaki Nakagawa, パターン認識・メディア理解研究会 (PRMU), 2025年3月.
- 電子ペンでの手書き解答に対する自動採点システム, 朝倉僚, NGUYEN Tuan Hung, TRUONG Thanh-Nghia, 土田洋一, 山本高廣, 宮澤寛, LY Tuan Nam, 根本雅人, 伊藤雅充, 堀江利彦, 金子敬一, 中川正樹, 情報処理学会研究報告(Web), vol. 2025, CE-181, 2025年.
- 手書き幾何図形解答の自動採点に向けた正答例の記述, 宮澤 寛, 朝倉 僚, グエントゥアン フーン, トルンタン ギア, リートゥアン ナム, 安野 史子, 堀江 利彦, 中川 正樹, 日本教育工学会 2024年春季全国大会, 2024年3月.
- TabIQA: Table Questions Answering on Business Document Images, Nam Tuan Ly, Phuc Nguyen, Hideaki Takeda, Atsuhiro Takasu, 2023年3月27日.
- 013 Ⅱ論考編 研究成果の活用と関連研究 変体仮名の認識, Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, 中川,正樹, 木簡など出土文字資料の資源化のための機能的情報集約と知の結集, pp. 199-202, 2019年3月25日.
- 日本古典籍くずし字文書の文字列認識, 佐藤 旭, 小林 心, Nam Tuan Ly, Nguyen Tuan Cuong, 北本 朝展, 中川 正樹, 人文科学とコンピュータ研究会, vol. 2019-CH-119, 4, pp. 1-4, 2019年2月.
- 古典籍のくずし字をAIが認識, Nam Tuan Ly, Kha Cong Nguyen, プレスリリース（東京農工大学）, 2017年12月.
[Presentations]
- Tutorials in Handwritten Mathematical Expression (HME) Recognition, Thanh-Nghia Truong, Nam Tuan Ly, Masaki Nakagawa, 27th International Conference on Pattern Recognition (ICPR), Dec 1, 2024.
- Kuzushiji Recognition by Deep Convolutional Recurrent Networks, Nam Tuan Ly, IPSJ SIG Computers and the Humanities, Jan 27, 2018.
[Industrial Property Rights]
- 採点システム及び採点方法, 中川 正樹, グエン トゥアン フーン, リー トゥアン ナム, トルン タン ギア, 朝倉 僚, 宮澤 寛, 堀江 利彦, 特願2024-139228, 2024年8月20日.
- 自動採点装置、プログラム、及びシステム, 宮澤 寛, 朝倉 僚, 堀江 利彦, 山本 高廣, 土田 洋一, 伊藤 雅充, 安野 史子, 中川 正樹, グエン トゥアン フーン, トルン タン ギア, リー トゥアン ナム, 特願2024-030402, 2024年2月29日.
- Second Place in Subtask Table IE, NTCIR-19 DAGRI, National Institute of Informatics, Aug, 2026.
- First Place in Subtask 2, NTCIR-19 SciClaimEval, National Institute of Informatics, Aug, 2026.
- Runner-Up Award of Non-Student Paper Awards (DAS2024), Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, International Association for Pattern Recognition, Sep, 2024.
- Runner-up Award, Competition on Visual Question Answering on Business Document Images, ICDAR2023, 2023.
- Student Award, Tokyo University of Agriculture and Technology, 2018.
- PRMU CH賞、くずし字認識、第116回 人文科学とコンピュータ研究会 - 情報処理学会, 2018.
- 最優秀賞、くずし字認識にチャレンジ！、第21回 PRMUアルゴリズムコンテスト、IEICE パターン認識・メディア理解研究会、2017.
- Best Paper Award (IAPR), The 4th International Workshop on Historical Document Imaging and Processing (HIP 2017), 2017.
- First Place in Subtask 2, NTCIR-19 SciClaimEval, National Institute of Informatics, Aug, 2026.
- Runner-Up Award of Non-Student Paper Awards (DAS2024), Two Experiments for Automatic Scoring of Handwritten Descriptive Answers, International Association for Pattern Recognition, Sep, 2024.
- Runner-up Award, Competition on Visual Question Answering on Business Document Images, ICDAR2023, 2023.
- Student Award, Tokyo University of Agriculture and Technology, 2018.
- PRMU CH賞、くずし字認識、第116回 人文科学とコンピュータ研究会 - 情報処理学会, 2018.
- 最優秀賞、くずし字認識にチャレンジ！、第21回 PRMUアルゴリズムコンテスト、IEICE パターン認識・メディア理解研究会、2017.
- Best Paper Award (IAPR), The 4th International Workshop on Historical Document Imaging and Processing (HIP 2017), 2017.
[Program committee member]
- The Conference on Neural Information Processing Systems - NeurIPS, 2026~.
- The European Conference on Computer Vision - ECCV, 2026~.
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR, 2025~.
- The International Conference on Document Analysis and Recognition - ICDAR, 2023~.
- The IAPR International Workshop on Document Analysis Systems - DAS, 2026~.
- The Workshop on Intelligent Cross-Data Analysis and Retrieval, ICMR, 2023.
- The International Conference on Computational Collective Intelligence (ICCCI), 2020.
[Journal review member]
- Pattern Recognition, 2024~.
- Applied Soft Computing Journal, 2024~.
- ACM Computing Surveys, 2023~.
- Engineering Applications of Artificial Intelligence, 2023~.
- International Journal on Document Analysis and Recognition, 2022~.
- Expert Systems With Applications, 2022~.
[Professional Memberships]
- International Association for Pattern Recognition, 2023~.
- 電子情報通信学会, 2023~.
- The Conference on Neural Information Processing Systems - NeurIPS, 2026~.
- The European Conference on Computer Vision - ECCV, 2026~.
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR, 2025~.
- The International Conference on Document Analysis and Recognition - ICDAR, 2023~.
- The IAPR International Workshop on Document Analysis Systems - DAS, 2026~.
- The Workshop on Intelligent Cross-Data Analysis and Retrieval, ICMR, 2023.
- The International Conference on Computational Collective Intelligence (ICCCI), 2020.
[Journal review member]
- Pattern Recognition, 2024~.
- Applied Soft Computing Journal, 2024~.
- ACM Computing Surveys, 2023~.
- Engineering Applications of Artificial Intelligence, 2023~.
- International Journal on Document Analysis and Recognition, 2022~.
- Expert Systems With Applications, 2022~.
[Professional Memberships]
- International Association for Pattern Recognition, 2023~.
- 電子情報通信学会, 2023~.
連絡先
研究室
Room 9-432
オフィスアワー
By appointment
内線番号
内線4442
メールアドレス
namly●tmu.ac.jp
（メールを送信される場合は●を@に変換してください）
