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Journal Articles

2

Conference Papers

  • 2024
  • Pei-Ying Yang, Shin-En Peng, Shih-Chuan Chang, and Yung-Chun Chang*, "Comparative Analysis of Pre-trained Language Models for Patient Visit Recommendations", PACLIC 38, 2024
  • Xuan-Yu You, Shih-Chuan Chang, Sheng-Mao Hung, Chih-Hao Ku, and Yung-Chun Chang*, "Using Multitask Learning with Pre-trained Language Models for Aspect-Based Sentiment Analysis in the Hospitality Industry", PACLIC 38, 2024
  • Yong-Zhen Huang, Tzu-Cheng Peng, Heng-Yu Lin, Eugene Sy, and Yung-Chun Chang*, "Combining Pre-trained Language Models with Medical Insights for Enhanced Privacy and Standardization in Pathology Report", IW-DMRN 2024, 2024
  • Pei-Ying Yang, Sheng-Mao Hung, Wen-Chao Yeh, Shih-Chuan Chang, Shin-En Peng, and Yung-Chun Chang*, "Analysis of the Effectiveness of Pre-trained Language Models in Recommending Patient Departments", ROCLING , 2024
  • Yong-Zhen Huang, Tzu-Cheng Peng, Heng-Yu Lin, Eugene Sy, and Yung-Chun Chang*, "Enhancing Automated De-identification of Pathology Text Notes Using Pre-trained Language Models", 2024 International workshop on deidentification of electronic medical record notes (IW-DMRN)
  • Sheng-Jie Lin, Chien Chin Chen and Yung-Chun Chang, "AMP-BiLSTM: An Enhanced Highlight Extraction Method Using Multi-Channel Bi-LSTM and Self-Attention in Streaming Videos", 18th IEEE International Conference on Semantic Compiting, (ICSC 2024)
  • 2023
  • Heng-Yu Lin, Eugene Sy, Tu-Cheng Peng, Shih-Hsuan Haung, Yung-Chun Chang*, "TMUNLP at the NTCIR-17 FinArg-1 Task", NTCIR, 2023
  • Yong-Zhen Huang, Yi-Xuan Lin, Eugene Sy, Yu-Lun Hsieh, Yung-Chun Chang* "TMUNLP at the NTCIR-17 MedNLP-SC Task", NTCIR, 2023
  • Sy Eugene L., Tzu-Cheng Peng, Shih-Hsuan Huang, Hen-Yu Lin, Yung-Chun Chang*, "Fine-Grained Argument Understanding with BERT Ensemble Techniques: A Deep Dive into Financial Sentiment Analysis", ROCLING , 2023
  • Tzu-Ying Chen, Jean Aristide Aquino, Yu-Wen Chiu, Wen-Chao Yeh, Yung-Chun Chang*, "Understanding the Clinical Context of Medication Change Events in Clinical Narratives using Pre-trained Clinical Language Models", in proceeding of The 7th International Conference on Medical and Health Informatics (ICMHI), 2023.
  • 林亨優, 彭子承, 張詠淳*, "BERT-Ensemble Learning with Linguistic Features for Analyzing Attack and Surpport Realations in Financial Social Media Analytics", TANET & NCS 台灣網際網路研討會 暨 全國計算機會議, 2023
  • 林亨優, 葉文照, 張詠淳*, "以自然語言處理技術改善教育現場雙語教學困境暨實施效益分析", ICEET 2023數位學習與教育科技國際研討會, 2023
  • 2022
  • Wen-Chao Yeh, Yung-Chun Chang*, Yu-Lun Hsieh, Wen-Lian Hsu, "Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora", in proceeding of The 34th Conference on Computational Linguistics and Speech Processing (ROCLING), 2022.
  • Yung-Chun Chang*, Tzu-Ying Chen, Ting-Yu Lin, and Yu-Lun Hsieh, "Using Multi-task Deep Neural Network to Explore Person Interaction from Social Media," In proceeding of The 2022 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2022)
  • Chien-Hung Chen, Yung-Chun Chang*, and Chih-Hao Ku, "Deep Neural Network-based Question Answering System for Customer Relationship Management," in proceeding of the Pacific Asia Conference on Information Systems (PACIS) 2022.
  • 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.
  • 2021
  • Yu-Chi Liang, Min-Chen Chen, Wen-Chao Yeh, and Yung-Chun Chang*, "Numerical Relation Detection in Financial Tweets using Dependency-aware Deep Neural Network," In proceeding of The 33rd Conference on Computational Linguistics and Speech Processing (ROCLING), 2021.
  • Yu-Ya Cheng, Wen-Chao Yeh, Yan-Ming Chen, and Yung-Chun Chang*, "Using Valence and Arousal-infused Bi-LSTM for Sentiment Analysis in Social Media Product Reviews," In proceeding of The 33rd Conference on Computational Linguistics and Speech Processing (ROCLING), 2021.
  • Ting-Wei Chang, Tzu-Yi Li, Yu-Wen Chiu, Sheng-Jie Lin, Panchanit Boonyarat, Neha Warikoo, Wen-Chao Yeh, and Yung-Chun Chang*, "Identifying Drug/chemical-protein Interactions in Biomedical Literature using the BERT-based Ensemble Learning Approach for the BioCreative 2021 DrugProt Track," In proceedings of BioCreative 2021
  • Sheng-Jie Lin, Yu-Wen Chiu, Wen-Chao Yeh, and Yung-Chun Chang*, "Multi-label Topic Classification for COVID-19 Literature Annotation using the BERT-based Ensemble Learning Approach for the BioCreative 2021 LitCovid Track," In proceedings of BioCreative 2021
  • Yu-Wen Chiu, Wen-Chao Yeh, Sheng-Jie Lin, and Yung-Chun Chang*, "Recognizing Chemical Entity in Biomedical Literature using the BERT-based Ensemble Learning Methods for the BioCreative 2021 NLM-Chem Track," In proceedings of BioCreative 2021
  • 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," In proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2021)
  • 2020
  • Yen-Chun Huang, Yi-Hsuan Huang, Yu-Ya Cheng, Jung-Yi Liao, and Yung-Chun Chang*, "TMUDS at the NTCIR-15 DialEval-1 Task," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • Yu-Chi Liang, Yi-Hsuan Huang, Yu-Ya Cheng, and Yung-Chun Chang*, "TMUNLP at the NTCIR-15 FinNum-2," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • Duy-Duc Le Nguyen, Yu-Chi Liang, and Yung-Chun Chang*, "TMU19 at NTCIR-15 Micro-activity Retrieval Task," in proceeding of the 15th NII Testbeds and Community for Information access Research (NTCIR), 2020.
  • 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.
  • Duy-Duc Le Nguyen, Yen-Chun Huang, and Yung-Chun Chang*, "Discriminative Features Fusion with BERT for Social Sentiment Analysis," in proceeding of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2020.
  • 鄭宇雅, 陳彥銘, 張詠淳*, "以情緒構面預測模型分析國軍於社群媒體之輿論意向," 第14屆軍事新聞學術研討會, 2020.
  • 陳彥銘, 吳亦軒, 陳嬿伃, 林志成, 王姵樺, 張詠淳*, "基於影像識別與文字探勘技術於海洋生物辨識及熱門潛點分析之研究," in proceeding of the 2020 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2020), 2020.
  • 2019
  • Po-Jung SU*, Yu-Ann Fang, Yung-Chun Chang, Yung-Chia Kuo, and Yung-Chang Lin, "Establish a predictive model for high-risk de novo metastatic prostate cancer patients by machine learning," in proceeding of Journal of Global Oncology, 2019.
  • 張詠淳*, 葉文照, 謝育倫, 許聞廉, "MONPA: 多目標中文命名實體辨識與詞性標註系統," in proceeding of the 2019 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), 2019.
  • 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.
  • Yan-Chun Hsing, Chien-Hung Chen, and Yung-Chun Chang*, "TMUNLP System at the NTCIR-14 STC3 Task," in proceeding of the 14th NII Testbeds and Community for Information access Research (NTCIR), 2019.
  • Chih-Hao Ku*, Yung-Chun Chang, Yichung Wang, Chien-Hung Chen, and Shih-Hui Hsiao, "Artificial Intelligence and Visual Analytics: A Deep-Learning Approach to Analyze Hotel Reviews & Responses," in proceeding of 2019 Hawaii International Conference on System Sciences (HICSS-52), 2019.
  • 2018
  • Chien-Hung Chen, Yan-Chun Hsing, and Yung-Chun Chang*, "Composite Kernels for Public Emotion Recognition from Twitter," in proceeding of 20th International Conference on Computational Linguistics and Natural Language Processing, 2018.
  • 葉文照, 張詠淳, "應用文字探勘技術與資料視覺化於咖啡風味評鑑描述之研究," in proceeding of TANET2018 臺灣網際網路研討會, 2018.
  • Chi-Jen Chen, Neha Warikoo, Yung-Chun Chang*, Hsyien-Chia Wen, and Jin-Hua Chen, "Cohort selection in Clinical trials using enriched word-vectors for SVM and CNN models," in proceeding of n2c2 National NLP Clinical Challenges, 2018.
  • Yung-Chun Chang*, Fang Yi Lee, and Chun Hung Chen, "A Public Opinion Keyword Vector for Social Sentiment Analysis Research," in proceeding of 10th International Conference on Advanced Computational Intelligence, 2018.
  • 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.
  • 邢晏純, 陳建宏, 陳芬芳, 劉起豪, 張詠淳*, "基於詩詞關鍵字向量之卷積神經網路於唐詩分類與風格分析," in proceeding of the 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2018.
  • 2017
  • Yung-Chun Chang, Yu-Lun Hsieh, and Wen-Lian Hsu*, "CIAL at the NTCIR-13 STC-2 Task," in proceeding of the 13th NII Testbeds and Community for Information access Research (NTCIR) on Short Text Conversation Task, 2017.
  • 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.
  • 張詠淳, 王晨安, 林政文, 許聞廉*, "基於情緒構面模型之社群多媒體文本意見分析," in proceeding of the 2017 Conference on Technologies and Applications of Artificial Intelligence, 2017.
  • Neha Warikoo, Yung-Chun Chang, Po-Ting Lai, and Wen-Lian Hsu*, "CTCPI – Convolution Tree Kernel-based Chemical-Protein Interaction Detection," in proceeding of BioCreative VI Challenge Evaluation Workshop, 2017.
  • Yi-Jie Huang, Chu Hsien Su, Yi-Chun Chang, Tseng-Hsin Ting, Tzu-Yuan Fu, Rou-Min Wang, Hong-Jie Dai, Yung-Chun Chang*, Jitendra Jonnagaddala, and Wen-Lian Hsu, "Pregnant Women Recognition from Social Media for Health-related Information Exploration," in proceeding of the first International Workshop on Digital Disease Detection using Social Media (IJCNLP), 2017.
  • Neha Warikoo, Yung-Chun Chang*, and Wen-Lian Hsu, "Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model," in proceeding of the first International Workshop on Digital Disease Detection using Social Media (IJCNLP), 2017.
  • Zheng-Wen Lin, Yung-Chun Chang*, Chen-Ann Wang, Yu-Lun Hsieh, and Wen-Lian Hsu, "CIAL Valence-Arousal Analysis System at IJCNLP 2017 Shared Task: Dimensional Sentiment Analysis for Chinese Words and Phrases," in proceeding of Dimensional Sentiment Analysis for Chinese Words (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.
  • 2016
  • Chih-Hao Ku, Yung-Chun Chang*, "Natural Language Processing: From Text Mining to Social Media Analysis," in proceeding of INFORMS Annual Meeting, 2016.
  • Yu-Lun Hsieh, Chen-Ann Wang, Ying-Wei Wu, Yung-Chun Chang, and Wen-Lian Hsu*, "IASL Valence-Arousal Analysis System at IALP 2016 shared Task: Dimensional Sentiment Analysis for Chinese Words," in proceeding of the 20th International Conference on Asian Language Processing (IALP) on the Dimensional Sentiment Analysis for Chinese Words, 2016.
  • Chun-Han Chu, Chen-Ann Wang, Yung-Chun Chang, Ying-Wei Wu, Yu-Lun Hsieh, and Wen-Lian Hsu*, "Sentiment Analysis on Chinese Movie Review with Distributed Keyword Vector Representation," in proceeding of 2016 Conference on Technologies and Applications of Artificial Intelligence, 2016.
  • Xi Wang*, Zhiya Zuo, Yang Zhang, Kang Zhao, Yung-Chun Chang, and Chin-Shun Chou, "Investigate Regional Prejudice in China through the Lens of Weibo," in proceeding of the 8th International Conference on Social Informatics (SocInfo), 2016.
  • ~2015
  • Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, and Wen-Lian Hsu*, "How do I look? Publicity Mining from Distributed Keyword Representation of Socially Infused News Articles," in proceeding of the 4th International Workshop (EMNLP) on Natural Language Processing for Social Media (SocialNLP), 2016.
  • 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.
  • Ting Hao Yang, Yu-Lun Hsieh, You-Shan Chung, Dapi Shih, Shih-Hung Liu, Yung-Chun Chang and Wen-Lian Hsu*, "Principle-based Approach for Semi-automatic Construction of a Restaurant Question Answering System from Limited Datasets," in proceeding of the 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, 2016.
  • Yung-Chun Chang, Zhong-Yong Chen, Chien Chin Chen, and Wen-Lian Hsu*, "Constructing Topic Person Interaction Networks Using a Tree Kernel-based Method," in proceeding of the 5th International Conference on Languages, Literature and Linguistics, 2015.
  • Chun-Han Chu, Apoorva Honnegowda Roopa, Yung-Chun Chan, and Wen-Lian Hsu*, "Constructing sentiment sensitive vectors for word polarity classification," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu*, "Distributed Keyword Vector Representation for Document Categorization," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • 張詠淳, 魏名宣, 許舜欽, "基於分散式架構技術之5五將棋電腦對局平台之研究," in proceeding of the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.
  • Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, and Wen-Lian Hsu*, "Protein-protein Interaction Passage Extraction Using the Interaction Pattern Kernel Approach for the BioCreative 2015 BioC Track," in proceeding of the Fifth BioCreative Challenge Evaluation Workshop, 2015.
  • Yu-Lun Hsieh, Shih-Hung Liu, Yung-Chun Chang, and Wen-Lian Hsu*, "Neural Network-based Vector Representation of Documents for Reader-Emotion Categorization," in proceeding of the 4th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, 2015.
  • 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), AIS Electronic Library (AISeL), 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, Yu-Lun Hsieh, Cen-Chieh Chen, Chad Liu, Chun-Hung Lu, and Wen-Lian Hsu, "Semantic Frame-based Statistical Approach for Topic Detection," in proceeding of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC), Lecture Notes in Computer Science, 2014.
  • Yu-Lun Hsieh, Shih-Hung Liu, Ting-Hao Yang, Yu-Hsuan Chen, Yung-Chun Chang, Chiu-Chen Hsieh, Cheng-Wei Shih, Chun-Hung Lu, and Wen-Lian Hsu, "A Frame-based Approach for Reference Metadata Extraction," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Yung-Chun Chang, Yu-Chen Su, Nai-Wen Chang and Wen-Lian Hsu, "An Interaction Pattern Kernel Approach for protein-protein interaction extraction from biomedical literature," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Chih-Wei Chen, Nai-Wen Chang, Yung-Chun Chang, and Hong-Jie Dai, "Section Heading Recognition in Electronic Health Records Using Conditional Random Fields," in proceeding of the 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Lecture Notes in Computer Science, 2014.
  • Yung-Chun Chang, Chien Chin Chen, and Wen-Lian Hsu, "Discovering the interactions between persons from Chinese Topic Documents," in proceeding of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING), 2014.
  • Yung-Chun Chang, Yu-Lun Hsieh, Cen-Chieh Chen, and Wen-Lian Hsu, "Semantic Frame-based Natural Language Understanding for Intelligent Topic Detection Agent," in proceeding of the 27th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE), Lecture Notes in Computer Science, 2014.
  • 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.
  • 張詠淳, 陳聖傑, 許聞廉, "基於語意框架之主題事件偵測研究," in proceeding of 第十八屆人工智慧與應用研討會 (TAAI), 2013.
  • Jian-Ming Chen, Yung-Chun Chang, Johnny Chi-Yang Wu, Po-Ting Lai, and Hong-Jie Dai, "Gene Ontology Evidence Sentence Retrieval Using Combinatorial Applications of Semantic Class and Rule Patterns," in proceeding of the Fourth BioCreAtIvE Challenge Evaluation Workshop, Lecture Notes in Computer Science, 2013.
  • Yuan-Chien Lin, Hwa-Lung Yu, Nai-Wen Chang, and Yung-Chun Chang, "Typhoon Heavy Rainfall Modeling by Probabilistic Graphical Models," in proceeding of the 10th Asia Oceania Geosciences Society Annual Meeting, Lecture Notes in Computer Science, 2013.
  • Yung-Chun Chang, Pi-Hua Chuang, Chien Chin Chen, and Wen-Lian Hsu, "FISER: An Effective Method for Detecting Interactions between Topic Persons," in proceeding of the 8th Asia Information Retrieval Societies Conference (AIRS), Lecture Notes in Computer Science, 2012.
  • Yung-Chun Chang, Jian-Ming Chen, Hong-Jie Dai, Johnny Chi-Yang Wu, Chun-Hung Lu, Richard Tzong-Han Tsai, and Wen-Lian Hsu, "TEMPTING: A TEMPoral relation extracting System for the i2b2 2012 TLINK Track," in proceeding of the 2012 i2b2 Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data, Lecture Notes in Artificial Intelligence, 2012.
  • 許聞廉, 呂菁菁, 謝秋珍, 姜天戩, 李政緯, 張詠淳, "以自然輸入法促進新移民對於在不同語境下使用不同的同音字之覺識," in proceeding of 全球華人計算機教育應用大會 (GCCCE), 2012.
  • Mike Tian-Jian Jiang, Cheng-Wei Lee, Chad Liu, Yung-Chun Chang, and Wen-Lian Hsu, "Robustness Analysis of Adaptive Chinese Input Methods," in proceeding of the Workshop on Advances in Text Input Methods (WTIM), Lecture Notes in Computer Science, 2011.
  • Yung-Chun Chang, Pei-Ching Yang, and Jung-Hsien Chiang, "Ontology-based intelligent web mining agent for Taiwan travel," in proceeding of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Lecture Notes in Artificial Intelligence, 2009.
  • Chang-Shing Lee, Mei-Hui Wang, Wei-Chun Sun, and Yung-Chun Chang, "Intelligent Healthcare Agent for Food Recommendation at Tainan City," in proceeding of IEEE International Conference on Systems, Man, and Cybernetics (SMC), Lecture Notes in Artificial Intelligence, 2008.
  • 張詠淳, 陳欣瑜, 翁維瓏, "基於知識之智慧型內容管理系統," in proceeding of 第十三屆人工智慧與應用研討會, 2008.
  • 張詠淳, 徐嘉陽, "基於知識本體與粒子群最佳化之文件分類代理人," in proceeding of 中華民國第十六屆模糊理論及其應用會議, 2008.
  • 李健興, 楊峻泓, 陳政佑, 張詠淳, "應用模糊推論機制建構府城小吃知識本體," in proceeding of 第十八屆物件導向技術及應用研討會 (OOTA), 2007.
  • 李健興, 張詠淳, 孫維駿, 許舜欽, "智慧型語意搜尋代理人於CMMI 專案監控之研究," in proceeding of 全國計算機會議, 2007.
  • 李健興, 張詠淳, 王美慧, 許舜欽, "基於知識本體之語意搜尋代理人," in proceeding of 數位生活科技研討會, 2007.
  • 李健興, 張詠淳, 賴貞汝, 張乃文, 陳宜婷, 許舜欽, "建構呼吸照護知識本體之研究," in proceeding of 資訊科技國際研討會, 2007.
  • 李健興, 張詠淳, 吳與倫, "基於CMMI 知識本體之學習導向知識管理系統之研究," in proceeding of 電子商務與數位生活研討會, 2006.
  • 李健興, 張詠淳, 王美慧, 郭耀煌, 許舜欽, "CMMI 專案監控網路服務之研究," in proceeding of 第十七屆物件導向技術及應用研討會, 2006.
  • 李健興, 江俊志, 張詠淳, 郭耀煌, "支援CMMI 專案監控網路服務之研究," in proceeding of 中華民國九十四年全國計算機會議, 2005.
  • 劉振隆, 王啟濬, 杜宜蓉, 張詠淳, "以蟻行演算法建構最佳化之消防路徑派遣系統-以台南市行政區為例," in proceeding of 第十一屆資訊管理暨實務研討會, 2005.
  • 李健興, 黃麟凱, 張詠淳, 賴智錦, "基於CMMI SWPQA 知識本體之文件摘要技術研究," in proceeding of 第十一屆資訊管理暨實務研討會, 2005.
  • 劉振隆, 張詠淳, 黃雅琴, "以生物智慧之蟻行演算法建立最佳化之消防路徑派遣系統," in proceeding of 物流暨資訊應用學術研討會, 2005.