張詠淳教授

張詠淳 教授

Professor Yung-Chun Chang

副數據長 | Deputy Chief Data Officer
Office of Data Science.
AI醫療研究中心副主任 | Deputy Director
TMU Research Center for AI in Medicine.
Ph.D., National Taiwan University

READ MORE

Latest News

  • [2023-12-15] 恭喜 林亨優、Eugene Sy、彭子承、黃士軒 榮獲NTCIR-17 FinArg Shared Task Best Presentation Awards
  • [2023-11-02] 恭喜 林亨優 與 黃永鎮 同學 榮獲TMU—APAMI Joint International Conference 2023 Best Paper Award,題目為『Utilizing Natural Language Processing for Delirium Patient Identification in Clinical Nursing Records』
  • [2023-11-01] 恭喜 林亨優 與 彭子承 同學 榮獲2023NCS全國計算機會議 最佳論文獎,題目為『BERT-Ensemble Learning with Linguistic Features for Analyzing Attack and Support Relations in Financial Social Media Analytics』
  • [2023-09-09] 恭喜 陳姿穎 同學 碩士論文榮獲崇越論文大賞 佳作
  • [2023-09-01] 恭喜本實驗室榮獲2023年未來科技獎,題目為『運用生成式深度學習預測晚期肺癌藥效預後和篩選全球臨床試驗』
  • [2023-08-08] 恭喜Eugene Sy、彭子承、黃士軒、林亨優榮獲NTCIR-17 FinArg Shared Task Argument Unit Classification Task 第一名 以及Argument Relation Detection and Classification Task 第三名
  • [2023-06-15] 恭喜林亨優與黃永鎮同學榮獲2023 TMUCRD臨床實務問題解決研究構想競賽 冠軍季軍
  • [2023-05-31] 恭喜陳姿穎同學錄取台大資工博士班 & 台大資管博士班 & 陽明交大資工系博士班
  • [2023-03-21] 恭喜陳姿穎、Jean Aristide Aquino、邱渝雯、葉文照同學論文被ICMHI 2023國際會議接受
  • [2023-01-08] 恭喜陳敏楨、陳姿穎、Panchanit Boonyarat同學論文被期刊Journal of Biomedical Informatics接受
  • READ MORE

Research Demo

Applying Dataset




  • Requests for downloading datasets can be sent to Apply for Getting the Dataset with your information (name, title, affiliation, country, email).
  • We currently provide
  • Person interaction (Details)
  • Taipei Medical University Dengue Case Corpus (TMUDCC) (Details)
  • Chinese News Topic Detection (Details)



Selected Publication

  • Journal Articles
  • Yung-Chun Chang, Yu-Wen Chiu, and Ting-Wu Chuang*, "Linguistic Pattern-infused Dual-channel BiLSTM with Attention for Dengue Case Summary Generation from ProMED-mail database," JMIR Public Health and Surveillance, 2022. (IF: 14.557, JCR: Q1)
  • Yung-Chun Chang, Chih-Hao Ku* and, Duy-Duc Le Nguyen, "Predicting aspect-based sentiment using deep learning and information visualization: The impact of COVID-19 on the airline industry," Information and Management, 2022. (IF: 10.328, JCR: Q1, ABDC: A+)
  • Yung-Chun Chang* and Yan-Chun Hsing, "Emotion-infused Deep Neural Network for Emotionally Resonant Conversation", Applied Soft Computing, 2021. (IF: 6.725, JCR: Q1)
  • Neha Warikoo, Yung-Chun Chang*, and Wen-Lian Hsu, "LBERT: Lexically-aware Transformers based Bidirectional Encoder Representation model for learning Universal Bio-Entity Relations.," Bioinformatics, 2020. (IF: 6.937, JCR: Q1, ABDC: A)
  • Yung-Chun Chang, Chih-Hao Ku* and, Chien-Hung Chen, "Using Deep Learning and Visual Analytics to Explore Hotel Reviews and Responses," Tourism Management, 2020. (IF: 10.967, JCR: Q1, ABDC: A*)
  • Yung-Chun Chang, Chih-Hao Ku*, and Chun-Hung Chen, "Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor," International Journal of Information Management, vol. 48, pp. 263-279, 2019. (IF: 14.098, JCR: Q1, ADBC: A+)
  • Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang*, Jin-Hua Chen, and Wen-Lian Hsu, "Medical Knowledge Infused Convolutional Neural Networks for Cohort Selection in Clinical Trials," Journal of the American Medical Informatics Association, vol. 26, Issue 11, pp. 1227-1236, 2019. (IF: 4.497, JCR: Q1, ADBC: A)
  • Yung-Chun Chang, Chien Chin Chen*, and Wen-Lian Hsu, "SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection," IEEE Transactions on Knowledge and Data Engineering, vol. 28, Issue 9, pp. 2494-2507, 2016. (IF: 6.977, JCR: Q1)
  • Conference Papers
  • Tzu-Ying Chen, Yu-Wen Chiu, Hui-Lun Lin, Chia-Tzu Lin, Yung-Chun Chang*, and Chun-Wei Tung, "TMUNLP at the NTCIR-16 FinNum-3 Task: Multi-task Learning on BERT for Claim Detection and Numeral Category Classification", in proceeding of the 16th NII Testbeds and Community for Information access Research (NTCIR), 2022.
  • Siu Hin NG, Yen-Chun Huang, Sheng-Jie Lin, and Yung-Chun Chang*, "Context-dependent Features Fusion with BERT for Evaluating Multi-Turn Customer-Helpdesk Dialogues", The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2021)
  • Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang*, Wen-Lian Hsu, "KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization," in proceeding of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2020.
  • Wen-Chao Yeh, Yung-Chun Chang*, Yu-Hsuan Li, and Wei-Chieh Chang, "Rhyming Knowledge-aware Deep Neural Network for Chinese Poetry Generation," in proceeding of 2019 International Conference on Machine Learning and Cybernetics (ICMLC),2019.
  • Neha Warikoo, Yung-Chun Chang*, Hong-Jie Dai, and Wen-Lian Hsu, "An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media," in proceeding of the Asia Information Retrieval Societies Conference, 2018.
  • Yu-Lun Hsieh, Yung-Chun Chang*, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen, and Wen-Lian Hsu, "MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network," in proceeding of the 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017.
  • Yu-Lun Hsieh, Yung-Chun Chang*, Nai-Wen Chang and Wen-Lian Hsu, "Identifying Protein-protein Interactions in Biomedical Literature using Recurrent Neural Networks with Long Short-Term Memory," in proceeding of the 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection (Extended abstract)," in proceeding of 2017 IEEE International Conference on Data Engineering, 2017.
  • Yung-Chun Chang, Chin-Shun Chou, Yang Zhang, Xi Wang, and Wen-Lian Hsu*, "Sentiment Analysis of Chinese Microblog Message Using Neural Network-based Vector Representation for Measuring Regional Prejudice," in proceeding of the 20th Pacific Asia Conference on Information Systems (PACIS), 2016.
  • Yung-Chun Chang, Cen-Chieh Chen, and Wen-Lian Hsu*, "Semantic Frame-based Approach for Reader-Emotion Detection," in proceeding of the 19th Pacific Asia Conference on Information Systems (PACIS), 2015.
  • Yung-Chun Chang, Cen-Chieh Chen, Yu-Lun Hsieh, Chien Chin Chen, and Wen-Lian Hsu*, "Linguistic Template Extraction for Recognizing Reader-Emotion and Emotional Resonance Writing Assistance," in proceeding of 53th Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL), 2015.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents," in proceeding of the 9th Asia Information Retrieval Societies Conference (AIRS), Lecture Notes in Computer Science, 2013.
READ MORE

Projects

  • 具化學結構感知BERT於預測化學物質毒性之開發及研究計畫 Development and Investigation of Chemical Structure-aware BERT for Toxicity Prediction(NHRI-12A1-PHCO-1823244. (2023/09~2024/12)
  • 衛生福利部雙和醫院112年度特色研究計畫 (112FRP-25),研發具臨床敘事感知能力的深度神經網路於急診科之動向與處置預測 (2023/05/01~2024/04/30)
  • 體育署112年運動科學支援競技運動計畫 (112-研-R-0001),基於機器學習方法分析運動數據以提升籃球技戰術之運用 (2023/08/01~2024/07/31)
  • 國科會計畫 (NSTC 112-2321-B-038-010 -),肺癌大數據精準醫療人工智慧系統--肺癌大數據精準醫療人工智慧系統(4/4) (2023/07/01~2024/06/30)
  • 國科會計畫 (112-2410-H-038-007-),以深度學習與視覺化分析技術促進服務產業之企業永續發展,Using Deep Learning and Visual Analytics to Facilitate Corporate Sustainability for Hospitality Industry. (2023/08/01~2024/07/31)
  • 國科會產學合作計畫 (112-2622-E-038-001-),多模態人工智慧個人化運動姿態輔助教學系統之研發,The system development of multimodal artificial intelligence in personalized sports posture-assisted teaching. (2023/06/01~2024/05/31)
  • 112學年度北科北醫聯合研發中心補助專案 (112TN15),通用式人工智慧賦能文字及語音情緒辨識系統於醫病互動與長期照護之應用,The Applications of Text and Voice Emotion Recognition System with Generative AI in the Fields of Physician-Patient Interaction and Long-term Care. (112/08/01~113/07/31)
  • 臺北聯合大學系統學術合作專題研究計畫 (USTP-NTUT-TMU-112-06),文字及語音情緒辨識系統導入探討社群意見領袖行為對投資人情緒及股票報酬的影響. (112/01/01~113/12/31)
  • 112年度高教深耕『轉譯創新整合研究計畫』,建構大型語言模型於肺癌病理報告自動化分析與病理摘要生成,Constructing a Large-scale Language Model for Automated Analysis of Lung Cancer Pathology Reports and Pathology Summary Generation. (2023-01-01 ~ 2023-12-31)
  • 教育部教學實踐計畫 (PEE1110423)),以人工智慧技術輔助機器學習課程之英文教學實踐及其成效評估,Using artificial intelligence technology to assist the English teaching of machine learning courses and its effectiveness evaluation. (2022/08/01~2023/07/31)
  • 國科會計畫 (NSTC 111-2221-E-038-025),多目標繁體中文命名實體與詞性辨識系統之加值與開放計畫,Enhanced MONPA - Multi-Objective NER POS Traditional Chinese Annotator. (2022/08/01~2023/07/31)
  • 科技部計畫 (MOST 109-2410-H-038-012-MY2),以機器學習和自然語言理解技術探勘社群互動關係及商業智慧之應用, Using Machine Learning and Natural Language Processing for Exploring Social interaction and Its Applications of Business Intelligence. (2020-08-01 ~ 2022-07-31)
  • 110年度高教深耕『轉譯創新整合研究計畫』,以深度學習與自然語言理解技術分析臨床病歷資料 (II) . (2021-01-01 ~ 2021-12-31)
  • 109年度高教深耕『轉譯創新整合研究計畫』,以深度學習與自然語言理解技術分析臨床病歷資料 (I) . (2020-01-01 ~ 2020-12-31)
  • 臺北聯合大學系統學術合作專題研究計畫,整合對話知識框架與深度學習之智慧型服務研究與應用. (2020-01-01 ~ 2020-12-31)
  • 東森得意購產學合作計畫,以自然語言處理與文字探勘技術於大數據行銷交易文本資料分析研究計畫. (2019-07-01 ~ 2020-06-30)
  • 科技部計畫 (MOST 107-2410-H-038-017-MY3),以多目標深度學習方法進行中文短句語意分析與建構領域對話機器人之研究, Deep multi-task Learning for semantic analysis and similarity measurement of Chinese short text. (2018-09-01 ~ 2021-08-31)
  • 科技部計畫 (MOST 106-2218-E-038-004-MY2),發掘社群互動關係與群眾觀感探勘之研究, Social Interaction Discovery and Publicity Mining. (2017-11-01 ~ 2019-10-31)

Members

  • 邢晏純 (Yan-Chun Hsing)

    TMU Data Science
    M.D. Research Assistant

  • 葉文照 (Wen-Chao Yeh)

    NTHU ISA
    Ph.D. Student

  • 黃顗亘 (Yi-Hsuan Huang)

    TMU Data Science
    M.S. Student

  • 林亨優 (Heng-Yu Lin)

    TMU Data Science
    M.S. Student

  • 黃永鎮 (Yong-Zhen Huang)

    TMU Data Science
    M.S. Student

  • 施辰穎 (Eugene Sy)

    TMU Data Science
    M.S. Student

  • 彭子承 (Tzu-Cheng Peng)

    TMU Data Science
    M.S. Student

  • 林奕璇 (Yi-Xuan Lin)

    TMU Data Science
    M.S. Student

  • 彭歆恩 (Jocelyn Peng)

    TMU Data Science
    M.S. Student

  • 楊沛縈 (Pei-ying Yang)

    TMU Data Science
    M.S. Student

  • 張師銓 (Shih-Chuan Chang)

    TMU Data Science
    M.S. Student

  • 陳寶運 (Nitisalapa Timsatid)

    TMU Data Science
    M.S. Student

  • 游軒宇 (Xuan-Yu You)

    TMU Data Science
    M.S. Student

  • 陳俊宏 (Chun-Hung Chen)

    NTU PHY
    M.D. Resarch Assistant

International Cooperation

  • Dr. Chih-Hao Ku

    Assitant Professor

    IT and Decision Science (ITDS), University of North Texas.

  • Dr. Neha Warikoo

    Research Fellow

    Helmholtz Centre for Infection Research

  • Dr. Jitendra Jonnagaddala

    Research Fellow

    School of Public Health and Community Medicine, UNSW.

  • Dr. Yu-Lun Hsieh

    Postdoctoral Reaserch Fellow

    Academia Sinica

Alumni

  • 陳靖儒 (Chin-Ju Chen)

    TMU Data Science
    M.S. Student

  • 邱渝雯 (Linda Chiu)

    TMU Data Science
    M.S. Student

  • 陳姿穎 (Tzu-Ying Chen)

    TMU Data Science
    M.S. Student

  • 林志成 (Chih-Cheng Lin)

    TMU Data Science
    M.S. Student

  • Di-Jie Liew

    TMU Data Science
    M.S. Student

  • Jean Aristide Belleza Aquino

    TMU Data Science
    M.S. Student

  • 黃士軒 (Shih-Hsuan Huang)

    TMU Data Science
    M.S. Student

  • 李子儀 (Tzu-Yi Li)

    TMU HCA
    Undergraduate Student

  • 張庭維 (Ting-Wei Chang)

    TMU Medicine
    Graduate

  • 林志莉 (Estella Lim)

    TMU Data Science
    M.D. Research Assistant

  • 黎禹賢 (Yu-Hsien Li)

    TMU Data Science
    B.D. Research Assistant

  • 陳敏楨 (Min-Chen Chen)

    TMU Data Science
    M.S.(2022)

  • 陳彥銘 (Yan-Ming Chen)

    TMU Data Science
    M.S.(2022)

  • PANCHANIT BOONYARAT

    TMU Data Science
    M.S.(2022)

  • 林聖傑 (Sheng-Jie Lin)

    TMU Data Science
    M.S.(2022)

  • 梁予琪 (Yu-Chi Liang)

    TMU Data Science
    M.S.(2021)

  • 黃彥鈞 (Yen-Chun Huang)

    TMU Data Science
    M.S.(2021)

  • 廖容毅(Jung-Yi Liao)

    TMU Data Science
    M.S.(2021)

  • 鄭宇雅 (Yu-Ya Cheng)

    TMU Data Science
    M.S.(2021)

  • NGUYEN LE DUY DUC

    TMU Data Science
    M.S.(2020)

  • 葉文照 (Wen-Chao Yeh)

    TMU Data Science
    M.S.(2020)

  • 李宇璇

    TMU Data Science
    M.S.(2020)

  • 邢晏純 (Yan-Chun Hsing)

    TMU Data Science
    M.S.(2019)

  • 陳麒任 (Chi-Jen Chen)

    TMU Data Science
    M.S.(2019)

  • 陳建宏 (Chien-Hung Chen)

    TMU Data Science
    M.S.(2019)

  • 方玉安

    TMU Data Science
    M.S.(2018)

  • 蘇柏榮

    TMU Data Science
    M.S.(2018)

  • 李芳儀 (Fang Yi Lee)

    TMU Data Science
    M.S.(2018)

  • 張維羽

    TMU Data Science
    M.S.(2018)

  • 林庭宇 (Ting-Yu Lin)

    NTU Data Science
    M.S.(2018)

  • 林政文 (Zheng-Wen Lin)

    NTHU ISA
    M.S.(2018)

  • 陳榮蓬

    NTHU ISA
    M.S.(2017)

  • 黃臆榤

    NTHU CSIE
    M.S.(2017)

  • 劉家耀(Jia-Yao Liu)

    TMU Data Science
    Graduate(2022)

  • 鍾俊芳(Jun-Fang Zhong)

    TMU Data Science
    Graduate(2022)

  • 王俐斐(Li-Fei Wang)

    TMU Data Science
    Graduate(2022)

  • 張佩琪(Pei-Qi Zhang)

    TMU Data Science
    Graduate(2022)

  • 吳昱宏(Yu-Hong Wu)

    TMU Data Science
    Graduate(2022)

  • 李浩維 (Hao-Wei Lee)

    TMU Data Science
    Graduate(2021)

  • 曾暉翔 (Hui-Hsiang Tseng)

    TMU Data Science
    Graduate(2021)

  • 馮上平 (Shang-Ping Feng)

    TMU Data Science
    Graduate(2021)

  • 劉家君 (Chia-Chun Liu)

    TMU Data Science
    Graduate(2021)

  • 陳嬿伃 (Yen-Yu Chen)

    TMU Data Science
    Graduate(2020)

  • 林志成 (Chih-Cheng Lin)

    TMU Data Science
    Graduate(2020)

  • 王姵樺 (Pai-Hua Wang)

    TMU Data Science
    Graduate(2020)

  • 吳亦軒 (Yi-Syuan Wu)

    TMU Data Science
    Graduate(2020)

  • 高行宜

    TMU Data Science
    Graduate(2019)

  • 張潁柔 (Ying-Jou Chang)

    TMU Data Science
    Graduate(2019)

  • 張瑋庭

    TMU Data Science
    Graduate(2019)

  • 李孟樺

    TMU Data Science
    Graduate(2019)

  • 李鈺祥

    TMU Data Science
    Graduate(2018)

  • 高嘉敏

    TMU Data Science
    Graduate(2018)

  • 周欣穎

    TMU Data Science
    Graduate(2018)

  • 張恩慈

    TMU Data Science
    Graduate(2018)

  • 連苡

    TMU Data Science
    Graduate(2018)