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• Journal Articles
• Yong-Zhen Huang, Yan-Ming Chen, Chih-Cheng Lin, Hsiao-Yean Chiu, and Yung-Chun Chang *, "Nursing Notes-Aware Deep Neural Network for Predicting Mortality Risk after Hospital Discharge", International Journal of Nursing Studies, 2024. (IF: 8.1, JCR Q1: 1/123 in NURSING)
• Chih Hao Ku,Yung-Chun Chang*, and Yichuan Wang, "How to Strategically Respond to Online Hotel Reviews - A Strategy-Aware Deep Learning Approach", Information & Management, 2024. (IF 9.9, JCR Q1: 2/84 in INFORMATION SCIENCE & LIBRARY SCIENCE, ABDC: A* )
• Panchanit Boonyarat, Di Jie Liew, and Yung-Chun Chang* "Leveraging Enhanced BERT Models for Detecting Suicidal Ideation in Thai Social Media Content amidst COVID-19", Information Processing and Mangement, 2024 (IF: 8.6, JCR Q1: 4/84 in INFORMATION SCIENCE & LIBRARY SCIENCE)
• 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, gate.io trading fees," 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.

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GATEWAY KYC 需要多长时间

• 國科會計畫 (NSTC 113-2321-B-038-012)，生成式人工智慧開發：乳癌多模決策分享系統(1/4)， (2024/07/01~2025/06/30)
• 國科會計畫 (NSTC 113-2627-M-006-005)，邁向可信賴資訊：整合認知洞察與AI強化媒體驗證(1/3)， (2024/08/01~2025/07/31)
• 國科會計畫 (NSTC 113-2221-E-038-019-MY3)，人工智慧驅動下的急診流程與決策：從醫病互動到臨床敘事的自然語言處理應用，AI-Driven Emergency Processes and Decision Making: Application of Natural Language Processing from Medical Interactions to Clinical Narratives. (2024/08/01~2027/07/31)
• 體育署113年運動科學支援競技運動計畫 (113-研-R-0002)，基於姿態感知的多模態深度學習策略於AI賦能網球技術提升之計畫 (2024/08/01~2025/07/31)
• 教育部教學實踐計畫(PEE1134229)，應用於生醫領域的人工智慧專題導向學習計畫：探索與實踐，AI-Powered Biomedical Project-Oriented Learning Program: Exploration and Implementation in the Field of Medicine. (2024/08/01~2025/07/31)
• 國家衛生研究院計畫(NHRI-12A1-PHCO-1823244)，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. (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)

狗硬币门IO

• 專利類別：發明專利
  專利名稱：提取語意模式和總結病理報告的方法及非暫態電腦儲存媒體
  證書號：I815411號
  有效日期：112.09.11
  計畫補助經費來源：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(2/4)MOST110-2321-B038-004
  

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