I’m a failed researcher turned engineer. If you’re bored or struggling with insomnia, you might find some entertainment browsing through my old academic publications from my student days.

Publications

All My Academic Publications

Journal Articles

  1. Kangying Li, Jiayun Wang, Biligsaikhan Batjargal, and Akira Maeda. “Intuitively Searching for the Rare Colors from Digital Artwork Collections by Text Description: A Case Demonstration of Japanese Ukiyo-e Print Retrieval.” Future Internet, Vol. 14, No. 7, p. 212 (21 pages), Jul. 2022. HTML | PDF | Abstract

    This paper explores innovative methods for searching digital artwork collections using natural language descriptions of colors, with a specific focus on Japanese Ukiyo-e prints. The research demonstrates how text-based queries can be effectively used to retrieve artworks containing rare or specific colors.

  2. Kangying Li, Biligsaikhan Batjargal, and Akira Maeda. “A Prototypical Network-Based Approach for Low-Resource Font Typeface Feature Extraction and Utilization.” Data, Vol. 6, No. 12, p. 134 (20 pages), Dec. 2021. HTML | PDF | Abstract

    This research addresses the challenges of font typeface feature extraction in low-resource scenarios. Li and colleagues propose a prototypical network-based approach that effectively captures and utilizes typeface features with limited training data.

  3. Kangying Li, Biligsaikhan Batjargal, and Akira Maeda. “Character Segmentation in Asian Collector’s Seal Imprints: An Attempt to Retrieval Based on Ancient Character Typeface.” Journal of Data Mining and Digital Humanities, Vol. HistoInformatics, pp. 1-19, Jan. 2021. HTML | PDF

    This paper presents groundbreaking work on character segmentation in Asian collector’s seal imprints, focusing on retrieval methods based on ancient character typefaces. The research contributes to digital humanities by enabling better access to historical seal collections.

International Conference Proceedings

  1. Kangying Li, Biligsaikhan Batjargal, Akira Maeda, and Ryo Akama. “Artwork Information Embedding Framework for Multi-source Ukiyo-e Record Retrieval.” In Proceedings of The 22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020), pp. 255-261, (online), Dec. 2020. HTML

    This paper introduces an innovative framework for embedding artwork information to facilitate the retrieval of Ukiyo-e records from multiple sources, addressing the challenge of fragmented digital collections.

  2. Kangying Li, Biligsaikhan Batjargal, Akira Maeda, and Ryo Akama. “Toward Exploring Artist Information from Seal Images in Ukiyo-e Collections.” In Conference Abstracts of Digital Humanities 2020, (online), Jul. 2020. Abstract

    This research explores methods for extracting artist information from seal images in Ukiyo-e collections, contributing to the field of digital humanities and art history research.

  3. Kangying Li, Biligsaikhan Batjargal, and Akira Maeda. “Character Segmentation in Collector’s Seal Images: An Attempt on Retrieval Based on Ancient Character Typeface.” In Proceedings of the 5th International Workshop on Computational History (HistoInformatics 2019), pp. 40-49, Oslo, Norway, Sep. 2019. PDF

    This paper presents innovative approaches to character segmentation in collector’s seal images, with a focus on retrieval methods based on ancient character typefaces.

  4. Kangying Li, Biligsaikhan Batjargal, and Akira Maeda. “Ownership Stamp Character Recognition System Based on Ancient Character Typeface.” In Proceedings of the 20th International Conference on Asia-Pacific Digital Libraries (ICADL2018), pp. 328-332, Hamilton, New Zealand, Nov. 2018. HTML

    This research introduces a system for recognizing characters in ownership stamps based on ancient character typefaces, contributing to digital library technologies and cultural heritage preservation.

Japanese Publications

  1. 苑 広媛, 李 康穎, 後藤 真, 木村 文則, 前田 亮. “『日本人名辞典』からの歴史人物情報の抽出： Few-shot学習による古文の固有表現抽出の試み.” 人文科学とコンピュータシンポジウム論文集, pp. 187-192, Dec. 2022.

    This paper explores the extraction of historical person information from the “Japanese Name Dictionary” using few-shot learning for named entity recognition in classical Japanese texts.

  2. 李 康穎, Biligsaikhan Batjargal, 前田 亮, 赤間 亮. “落款印および関連情報の検索システムの構築：人物情報と人物関係ネットワークの自動抽出に向けて.” 人文科学とコンピュータシンポジウム論文集, pp. 261-266, Dec. 2019.

    This research focuses on building a search system for seal marks and related information, aiming at automatic extraction of person information and relationship networks.

  3. 李 康穎, Batjargal Biligsaikhan, 前田 亮. “古代文字フォント字形の特徴抽出に基づく蔵書印の検索支援.” 人文科学とコンピュータシンポジウム論文集, pp. 123-128, Dec. 2018.

    This paper presents a search support system for collector’s seals based on feature extraction of ancient character font shapes.

  4. 李 康穎, Batjargal Biligsaikhan, 前田 亮. “古代文字フォントの画像データに基づく手書き篆文文字の検索支援.” 人文科学とコンピュータシンポジウム論文集, pp. 125-130, Dec. 2017.

    This research focuses on search support for handwritten seal script characters based on image data of ancient character fonts.

  5. 苑 広媛, 李 康穎, 後藤 真, 木村 文則, 前田 亮. “事例ベース固有表現抽出を用いた古文からの歴史人物情報の抽出および活用.” 第15回データ工学と情報マネジメントに関するフォーラム（DEIM2023）論文集, Mar. 2023.

    This paper discusses the extraction and utilization of historical person information from classical texts using case-based named entity extraction.

  6. Li Kangying, Batjargal Biligsaikhan, 前田 亮, 赤間 亮. “浮世絵レコードのクロスモーダル多言語横断検索に向けて：Multilingual-BERTによる作品情報の特徴埋め込み抽出の試み.” 第10回知識・芸術・文化情報学研究会, Feb. 2021.

    This research explores cross-modal multilingual retrieval of ukiyo-e records using Multilingual-BERT for feature embedding extraction of artwork information.

  7. Li Kangying, Batjargal Biligsaikhan, 前田 亮. “古代文字検索のためのフォントからの字形特徴量の抽出および活用可能性の検討.” 第11回データ工学と情報マネジメントに関するフォーラム（DEIM2019）論文集, Mar. 2019.

    This paper examines the extraction and potential utilization of glyph features from fonts for ancient character retrieval.

  8. Li Kangying, Batjargal Biligsaikhan, 前田 亮. “生成モデルによる篆書体の文字認識手法の提案.” 第10回データ工学と情報マネジメントに関するフォーラム（DEIM2018）論文集, Mar. 2018.

    This research proposes a character recognition method for seal script using generative models.

  9. 李 康穎, バトジャルガル ビルゲサイハン, 前田 亮. “白川フォントの画像データに基づく手書き篆書文字検索支援.” 第8回横幹連合コンファレンス論文集, Dec. 2017.

    This paper presents a search support system for handwritten seal script characters based on image data of Shirakawa font.

  10. Kangying Li, Song Shuying, Tiago Ramalho.
    “RAGを備えたチャットボットに自然言語処理の研究動向を聞いてみた：文書分析作業を効率化するAIアシスタント活用方法の検討” (Asking a Chatbot with RAG about Natural Language Processing Research Trends: Exploring AI Assistant Utilization Methods to Streamline Document Analysis Tasks).