研究興趣與論文發表

研究興趣

1. 大數據分析與資料探勘(Big Data Analytics & Data Mining)

2. 顧客關係管理 (Customer Relationship Management)

3. 創新服務/產品發展(Innovative Service/Product Development)

4. 六標準差（Six Sigma）

5. 粒化計算（Granular Computing）

研究著作

一、學位論文

[1] Long-Sheng Chen, (2006/03) Granular Computing for Imbalanced Data: Theory and Applications, Ph.D. Dissertation, Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan.

[2] Long-Sheng Chen, (2000/07), Developing the concept of functional virtual population and applying it to machine learning, M.S. Dissertation, Institute of Industrial Management, National Cheng Kung University, Tainan, Taiwan.

二、期刊論文

(*代表通訊作者，中文題目者為中文撰寫)

[1]. V. Nalluri, L.-S. Chen, J.-R. Chang, V.R. Sikhakolli, R.S. Pasupuleti, 2025, Role of intelligent media applications for sustainability awareness: A multi-criteria decision-making approach, Journal of Information Science and Engineering (Accepted) (SCIE)

[2]. C.-C. Hsu, J.-R. Chang, L.-S. Chen*, Z.-J. Luo, 2025, Psychological Feature and Generative AI Integration for Early Depression Detection from Social Media: An Interpretable Computational Intelligence Framework, Journal of Mechanics in Medicine and Biology (SCIE) (Accepted)

[3] V. Nalluri, M. C. K, L.-S. Chen*, 2025, Risk evaluation in the implementation of sustainable measures in the supply chain operations: A Fuzzy Delphi-DEMATEL approach, Cleaner Logistics and Supply Chain, 17, 100262 (Scopus Q1)

[4] V. Nalluri, J.-R. Chang, L.-S. Chen*, T.-T. Huynh-Cam, 2025, Unveiling key drivers of purchase intentions in virtual communities: An interval Pythagorean Fuzzy DEMATEL-ISM approach, Electronic Commerce Research, (SSCI) DOI : 10.1007/s10660-025-09996-w 

[5] V. Nalluri, J.-R. Chang, L.-S. Chen*, C.-W. Yan, 2025, Using feature selection methods to identify important factors of in-game consumption, Enterprise Information Systems, 19(3–4), pp. 532–557. (SCIE)

[6] R. G. Mayopu, V. Nalluri, L.-S. Chen*, 2025, Detecting ChatGPT Virtual News in the Era of Artificial Intelligence, Enterprise Information Systems, 19(9), 1083-1108. (SCIE) 

[7] V. Nalluri, J.-R. Chang, L.-S. Chen*, J.-S. Syu, 2025, A novel dimension reduction based method to detect network intrusions, Journal of Intelligent & Fuzzy Systems, https://doi.org/10.1177/18758967251348540 (SCIE)

[8] V. Nalluri, S. M. Appana, L.-S. Chen*, S. Agrawal, 2025, Decision making model for AI adoption to achieve sustainable development goals in the context of developing countries, Journal of Information Science and Engineering, 41(4), 957-969. (SCIE) 

[9] V. Nalluri, H. R. Sama, L.-S. Chen, M. C. K & S. K. B, 2025, One Experience and Multiple Perspectives on Hotel Stay – Analysis Online Consumers Feedback Using a Neutrosophic Fuzzy Approach, Journal of Quality Assurance in Hospitality & Tourism, DOI:10.1080/1528008X.2025.2464922. (Scopus Q2)

[10]. T.-T. Huynh-Cam, L.-S Chen*, T.-C. Lu, 2025, Early Prediction Models and Crucial Factor Extraction for First-year Undergraduate Student Dropouts, Journal of Applied Research in Higher Education, 17(2), pp. 624-639 (SCOPUS Q2) 

[11]. K.-F. Yang, V. Nalluri, C.-C. Liu, & L.-S Chen* (2025). Discovering Key Successful Factors of Mobile Advertisements Using Feature Selection Approaches. Big Data and Cognitive Computing, 9(5), 119. (SCOPUS Q1) 

[12] L.-S. Chen, T.-T. Huynh-Cam, V.-C. Nguyen, T.-C. Lu, D.-K. Le-Huynh, 2025, Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis through Machine Learning Methods, Big Data and Cognitive Computing, 9(5), 134 (Scopus Q1)

[13]. V. Nalluri, L.-S. Chen*, 2024, Modelling the FinTech Adoption Barriers in the Context of India- An Integrated Fuzzy Hybrid Approach, Technological Forecasting & Social Change, 199, 123049. (SSCI)

[14].  T.-T. Huynh-Cam, V. Nalluri, L.-S. Chen*, J. R. White, T.-H. Nguyen, N. Van-Canh, T.-C. Lu, 2024, DT-Fuzzy DEMATEL: A new method for determining important factors for student satisfaction with e-course adoption in a Vietnamese university, Journal of Applied Research in Higher Education, DOI: 10.1108/JARHE-04-2024-0173 (Scopus Q2)

[15].   H.-C. Wu, W.-D. Jeng, L.-S. Chen*, C.-C. Ho, 2024, Developing the NLP-QFD Model to Discover Key Success Factors of Short Videos on Social Media. Applied Sciences, 14, 4870. (SCIE)

[16].  R. G. Mayopu, Y.-Y. Wang, L.-S. Chen*, 2024, Exploring the advertising elements of electronic word-of-mouth in social media: An example of game reviews, Multimedia Tools and Applications, 83, pp. 74685–74709. (SCIE)

[17]. T.-T. Huynh-Cam, L.-S. Chen*, V.-C. Nguyen, T.-H. Nguyen, T.-C. Lu, 2024, Why first-year e-students are dissatisfied: Machine learning methods for enhancing retention, International Journal of Applied Science and Engineering, 21(3), 2023532 (Scopus Q2)

[18].   T.-T. Huynh Cam, S. Agrawal, T.-T. Bui, V. Nalluri, L.-S. Chen, 2024, Enhancing the English writing skills of in service students using marking mate automated feedback, Asia Pacific Education Review, 25, pp. 459–474. (SCOPUS Q1)

[19]. V. Nalluri, R. G. Mayopu, L.-S. Chen*, 2024, Modelling the key attributes for improving customer repurchase rates through Mobile Advertisements using a Fuzzy mixed approach, Journal of Modelling in Management, 19(1), pp.145-168. (SCOPUS Q2)

[20]. V. Nalluri, J.-R. Chang, L.-S. Chen*, J.-C. Chen, 2023, Building Prediction Models and Discovering Important Factors of Health Insurance Fraud Using Machine Learning Methods, Journal of Ambient Intelligence and Humanized Computing, 14, pp. 9607-9619. (SCIE, SCOPUS Q1)

[21]. V.S. Saravanarajan, R.-C. Chen, C.-H. Hsieh, L.-S. Chen, 2023, Improving Semantic Segmentation Under Hazy Weather for Autonomous Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach, IEEE Access, 11, pp. 38194–38207. (SCIE)

[22]. R. G. Mayopu, Y.-Y. Wang, L.-S. Chen*, 2023, Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign, Big Data and Cognitive Computing, 7, 81. (SCOPUS Q1, EI)

[23]. V. Nalluri, K.-F. Yang, L.-S. Chen*, Yang, T.-Y. K. Yang, 2023, Exploring crucial social media marketing factors for improving customer satisfaction and customer loyalty in bed and breakfast sectors in Taiwan, International Journal of Tourism Cities, 9 (2), pp. 429-446. (SCOPUS Q1)

[24]. H. R. Sama, L.-S. Chen, V. Nalluri, C. Madhavaiah, 2023, Enhancing the Service Quality of Rural Public Transportation during COVID-19 Pandemic: A Novel Fuzzy Approach, Public Transport, 15(2), pp. 479–501. (SCOPUS Q1)

[25]. K.-F. Yang, Y.-R. Lin, L.-S. Chen*, 2023, Discovering Critical Factors in the Content of Crowdfunding Projects, Algorithms, 16 (1), 51. (SCOPUS Q2, EI)

[26]. V. Nalluri, T.-T. Huynh-Cam, H. R. Sama and L.-S. Chen*, 2023, Decision-making model for the effective e-services adoption in the Indian educational organizations, Decision Science Letters, 12(2), pp. 211-224. (SCOPUS Q3)

[27]. W.-K. Chen, J.-R. Chang, L.-S. Chen*, R.-Y. Hsu, 2022, Using Refined Kano Model and Decision Trees to Discover Learners’ Needs for Teaching Videos, Multimedia Tools and Applications, 81(6), pp. 8317-8347. (SCI, SCOPUS)

[28]. M.-Y. Chen, J.-R. Chang, L.-S. Chen*, Y.-J. Chuang, 2022, Identifying the Key Successful Factors of Movie Projects in Crowdfunding, Multimedia Tools and Applications, 81(19), pp. 27711-27736. (SCI, SCOPUS)

[29]. R.-C. Chen, V.S. Saravanarajan, L.-S. Chen, H. Yu, 2022, Road Segmentation and Environment Labeling for Autonomous Vehicles, Applied Sciences, 12(14), 7191 (SCIE)

[30]. J.-R. Chang, V. Naliuri, L.-S. Chen*, S.-H. Chen, 2022, Winning Customers’ Hearts and Minds using DFSS in Insurance Industry, The TQM Journal, DOI (10.1108/TQM-05-2022-0171)  (SCOPUS)

[31]. T.-T. Huynh-Cam, V. Nalluri, L.-S. Chen*, Y.-Y. Yang, 2022, IS-DT: A New Feature Selection Method for Determining the Important Features in Programmatic Buying, Big Data and Cognitive Computing, 6 (4), 118. (SCOPUS, EI)

[32]. T.-T. Huynh-Cam, L.-S. Chen*, K.-V. Huynh, 2022, Learning Performance of International Students and Students with Disabilities: Early Prediction and Feature Selection through Educational Data Mining, Big Data and Cognitive Computing, 6 (3), 94. (SCOPUS, EI)

[33]. V. Nalluri, L.-S. Chen*, 2022, Risk assessment for sustainability on telecom supply chain: a hybrid fuzzy approach, Uncertain Supply Chain Management, 10(2), pp. 559-576. (SCOPUS)

[34]. T.-M. Cheng, H.-Y. Hou, L.-S. Chen, S.-P. Yu, 2022, Exploring the Inner Characteristics and External Competency of Excellent Teacher: The Case of a University of Technology in Taiwan, Journal of Institutional Research South East Asia, 20(2), pp. 41–63. (SCOPUS)

[35]. L.-S. Chen, M.-Y. Chen, J.-R. Chang, P.-Y. Yu, 2021, An Intuitionistic Fuzzy Time Series Model Based on New Data Transformation Method, International Journal of Computational Intelligence Systems, 40(1), pp. 550-559. (SCIE, SCOPUS).

[36]. W.-K. Chen, L.-S. Chen*, Y.-T. Pan, 2021, A text mining-based framework to discover the important factors in text reviews for predicting the views of live streaming, Applied Soft Computing, 111, 107704 (SCIE, SCOPUS)

[37]. M.-Y. Chen, J.-R. Chang, L.-S. Chen*, E.-L. Shen, 2021, The key successful factors of video and mobile game crowdfunding projects using a lexicon-based feature selection approach. Journal of Ambient Intelligence and Humanized Computing, 13(6), pp. 3083-3101. (SCIE, SCOPUS)

[38]. W.-K. Chen, D. Riantama, L.-S. Chen*, 2021, Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry, Sustainability, 13(1), 268. (SSCI, SCIE, SCOPUS).

[39]. V.S. Saravanarajan, R.-C. Chen, C. Dewi, L.-S. Chen, 2021, Solving unbounded knapsack problem using evolutionary algorithms with bound constrained strategy, International Journal of Applied Science and Engineering, 18(1), pp. 1-11. (SCOPUS)

[40]. T-T Huynh-Cam, L.-S. Chen*, H. Le, 2021, Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students’ Learning Performance, Algorithms, 14(11):318. (SCOPUS, EI)

[41]. J.-R. Chang, L.-S. Chen*, L.-W. Lin, 2021, A Novel Cluster based Over-sampling Approach for Classifying Imbalanced Sentiment Data, IAENG International Journal of Computer Science, 48(4), pp. 1118-1128 (SCOPUS, EI).

[42]. T.-T. Huynh-Cam, S. Agrawal, L.-S. Chen, and T.-L. Fan, 2021, Using Moodle-based e-Assessment in English Listening and Reading Courses: A Vietnamese Case Study, Journal of Institutional Research South East Asia, 19(2), pp. 66-92. (SCOPUS)

[43]. J.-R. Chang, M.-Y. Chen, L.-S. Chen*, W.-T. Chien, 2020, Recognizng Important Factors of Influencing Trust in O2O Models: An Example of OpenTable, Soft Computing, 24, pp. 7907–7923 (SCI, SCOPUS).

[44]. J.-R. Chang, H.-Y. Liang, L.-S. Chen*, C.-W. Chang, 2020, Novel feature selection approaches for improving the performance of sentiment classification, Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-020-02468-z (SCIE, SCOPUS).

[45]. H.-L. Wu, C.-C. Chang, Y.-Z. Zheng, L.-S. Chen* and C.-C. Chen, 2020, A Secure IoT-Based Authentication System in Cloud Computing Environment, Sensors, 20(19), 5604 doi:10.3390/s20195604 (SCIE, SCOPUS).

[46]. H.-L. Wu, C.-C. Chang, L.-S. Chen, 2020, Secure and anonymous authentication scheme for the Internet of Things with pairing, Pervasive and Mobile Computing, 67, 101177 (SCIE, SCOPUS).

[47]. J.-R. Chang, L.-S. Chen* and C.-W. Chang, 2020, New term weighting methods for classifying textual sentiment data, International Journal of Applied Science and Engineering,17(3), pp.257-268. (SCOPUS)

[48]. J.-R. Chang, M.-K. Chen, L.-S. Chen*, T.-C. Kuo, 2020, The Crucial Factors of Clicking Keyword Advertisements (in English), Journal of Management and Systems, 28(2), pp. 195-224. (TSSCI)

[49]. T.-M. Cheng, H.-Y. Hou, D.-C. Agrawal, L.-S. Chen, C.-J. Chi, 2020, Factors Affecting Starting Wages of Master’s Degree-graduates in Taiwan, Journal of Institutional Research South East Asia, 18(1), pp.136-154. (SCOPUS)

[50]. J.-R. Chang, M.-Y. Chen, L.-S. Chen*, S.-C. Tseng, 2019, Why Customers Don’t Revisit in Tourism and Hospitality Industry? IEEE Access, 7(7), pp. 146588-146606. (SCI, SCOPUS)

[51]. H. Chen, H.-L. Wu, C.-C. Chang and L.-S. Chen, 2019, Light Repository Blockchain System with Multi-Secret Sharing for Industrial Big Data, Security and Communication Networks. vol. 2019, Article ID 9060756, 2019. (SCI, SCOPUS)

[52]. D.-C. Agrawal, H.-Y. Hou, T.-M. Cheng, L.-S. Chen, SC Hsu, 2019, Factors Affecting Student-Teacher Relationship in a Private University of Technology in Taiwan, Journal of Institutional Research South East Asia, 17(1), pp. 54-76. (SCOPUS)

[53]. L.-S. Chen*, Y.-T. Pan, 2018, Discovering the Key Factors for Increasing Viewers of Live Streaming, International Journal of Advanced Information Technologies, 12(2), pp.11-19.

[54]. C.-Y. Huang, C.-T. Bau, L.-S. Chen, R.-C. Chen, 2017, A new patient treatment decision support system for diabetes, ICIC Express Letters, 11(1), 197-204. (EI)

[55]. L.-S. Chen*, Z. C. Lin, J.-R. Chang, 2015, FIR: An effective scheme for extracting useful metadata from social media, Journal of Medical Systems, 39(11), article 139. (SCI)

[56]. L.-S. Chen*, S. C. Cai, 2015, Neural-network-based Resampling Method for Detecting Diabetes Mellitus, Journal of Medical and Biological Engineering, 35(6), 824-832. (SCI)

[57]. L.-S. Chen*, S. C. Cai, 2014, A Cost Adjusting Method for Increasing Customers’ Sentiment Classification Performance, International Journal of Information and Electronics Engineering, 5(4), pp. 336-339. (EI)

[58]. L.-S. Chen*, 2013, Recognizing key service factors of attracting new virtual community members, Cybernetics and Systems, 44(4), pp. 305-324. (SCI)

[59]. L.-S. Chen*, Chang, P.-C., 2013, Extracting Knowledge of Customers’ Preferences in Massively Multiplayer Online Role Playing Games, Neural Computing and Applications, 23(6), pp. 1787-1799. (SCI)

[60]. C.-H. Liu, L.-S. Chen, P.-S. Lin, 2013, Lot Streaming Multiple Jobs with Values Exponentially Deteriorating over Time in a Job Shop Environment, International Journal of Production Research, 51(1), pp. 202-214. (SCI, EI)

[61]. C.-S. Lin, S. Kao, L.-S. Chen, 2012, A Proactive Operational Framework for Business Continuity in the Semiconductor Industry, Quality and Reliability Engineering International, 28(3), pp. 307-320. (SCI, EI)

[62]. K.-Y. Chen, L.-S. Chen*, M.-C. Chen, C.-L. Lee, 2011, Using SVM based method for equipment fault detection in a thermal power plant, Computers in Industry, 62(1), 42-50. (SCI).

[63]. L.-S Chen*, C.-H. Liu, H. J. Chiu, 2011, A Neural Network based Approach for Sentiment Classification in the Blogosphere, Journal of Informetrics, 5(2), pp. 313-322 (SSCI) 

[64]. C.-S. Lin, L.-S. Chen *, C.-C. Hsu, 2011, An Innovative Approach for RFID Product Functions Development, Expert System with Applications, 38(12), pp. 15523-15533. (SCI)

[65]. L.-S. Chen*, and S.-H. Chen, 2011, Using TRIZ Techniques to New Product Function Development of Smart Phones, Industrial Engineering & Management Systems, 10(3), pp. 179-184.

[66]. C.-C. Hsu, M.-C. Chen, & L.-S. Chen, 2010, Intelligent ICA-SVM Fault Detector for non-Gaussian Multivariate Process Monitoring, Expert Systems with Applications, 37(4), pp. 3264-3273. (SCI)

[67]. C.-C. Hsu, M.-C. Chen, & L.-S. Chen, 2010, A novel process monitoring approach with dynamic independent component analysis, Control Engineering Practice, 18(3), pp. 242-253. (SCI)

[68]. L.-S Chen*, C.-C. Hsu, Y.-S. Chang, 2010, Developing a novel two-phase learning scheme for the class imbalance problem, International Journal of Innovative Computing, Information and Control, 6(11), pp. 4979-4994. (SCI)

[69]. C.-C. Hsu, M.-C. Chen, & L.-S. Chen, 2010, Integrating Independent Component Analysis and Support Vector Machine for Multivariate Process Monitoring. Computers & Industrial Engineering, 59 (1), pp.145-156. (SCI, EI). 

[70]. L.-S. Chen*, C.-H Liu, and C.-C. Hsu, C.-S. Lin, 2010, C-Kano Model: A New Approach for Discovering Attractive Quality Elements, Total Quality Management and Business Excellence, 21(11), 1189-1214. (SCI; SSCI)

[71]. C.-C. Hsu, L.-S. Chen, and C.-H. Liu, 2010, A Process Monitoring Scheme Based on Independent Component Analysis and Adjusted Outliers, International Journal of Production Research, 48(6), 1727-1743. (SCI, EI)

[72]. L.-S. Chen*, C.-C. Hsu and M.-C. Chen, 2009, Customer Segmentation and Classification from Blogs by Using Data Mining: An Example of VOIP Phone, Cybernetics & Systems, 40(7), pp. 608-632. (SCI)

[73]. L.-S. Chen and C.-T. Su, 2008, Using granular computing model to induce scheduling  knowledge in dynamic manufacturing environments, International Journal of Computer Integrated Manufacturing, 21(5), pp. 569-583. (SCI).

[74]. M.-C. Chen, L.-S. Chen, C.-C. Hsu, W.-R. Zeng, 2008, An information granulation based data mining approach for classifying imbalanced data, Information Sciences, 178 (16), pp. 3214-3227. (SCI)

[75]. L.-S. Chen, F.-H. Hsu, M.-C. Chen and Y.-C. Hsu, 2008, Developing recommender systems with the consideration of product profitability for sellers, Information Sciences, 178(4), pp. 1032-1048 (SCI)

[76]. C.-H. Liu, L.-S. Chen, and C.-C. Hsu, 2008, An Association-based Case Reduction Technique for Case-based Reasoning, Information Sciences, 178 (17), pp.3347-3355. (SCI)

[77]. C.-T. Su, L.-S. Chen, and T.-L. Chiang, 2006, A neural network based information granulation approach to shorten the cellular phone test process, Computers In Industry, 57(5), pp. 412-423. (SCI, EI)

[78]. C.-T. Su, L.-S. Chen, and Y. Yih, 2006, Knowledge acquisition through information granulation for imbalanced data, Expert System with Applications, 31(3), pp. 531-541. (SCI, EI)

[79]. D.-C. Li, L.-S. Chen, and Y.-S. Lin, 2003, Using Functional Virtual Population as assistance to learn scheduling knowledge in dynamic manufacturing environments, International Journal of Production Research, 17, 4011–4024 (SCI, EI)

中文論文

[1]陳隆昇*，(2025/4)，智慧學務：生成式人工智慧在高等教育學務工作的應用與發展，學生事務與輔導，第64卷第1 期，頁 1-6。

[2]陳隆昇*，(2022/6)，大學生課外活動學習成效之確保，學生事務與輔導，第61卷第1期，頁1-5。

[3]廖俊鑑、陳隆昇、鄭道明，(2021/9)，朝陽科技大學以教學品保的成效面對少子女化衝擊，評鑑雙月刊，第87期，頁9-13。

[4]. 林敬森、陳隆昇*，2009，應用狩野模式於提升教學網站品質之研究，International Journal of Advanced Information Technologies, 3(2), pp. 55-71.

[5]. 陳隆昇*、邱慧如，2009，植基於支撐向量機之語意導向分類器，International Journal of Advanced Information Technologies, 3(2), pp. 15-35.

三、研討會論文

國際研討會

[1]  L.-H. Hsieh, L.-S. Chen*, 2025, Integrating ESG Textual Disclosures for Corporate Carbon Emission Rating: A Comparative Study of TF-IDF and BERT in Taiwan’s Semiconductor Industry, the Asia Pacific Industrial Engineering & Management Systems Conference 2025 (APIEMS), November 7-11, Hangzhou, China.

[2] L.-S. Chen*, L.-H. Hsieh, Y.-Y. Chang and J.-R. Chang, 2025, A Study on Building a Company-Level Carbon Emission Prediction Model for the Semiconductor Industry, The 21st International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2025), October 15-17, 2025, The Splendor Hotel, Taichung, Taiwan. (Scopus) (Best Paper Award)

[3] L.-S. Chen*, H.-J. Huang, and T.-T. Huynh-Cam, 2025, Improving Minority Class Detection in Online Game Review Sentiment Analysis, 21st International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2025), October 15-17, 2025, The Splendor Hotel, Taichung, Taiwan. (Scopus) (Excellent Paper Award)

[4] T.-T. Huynh-Cam, H.-D. Le, L.-S. Chen*, T.-C. Lu, D.-K. Le-Huynh, Using Artificial Intelligence Algorithms to Determine Important Features for Academic Achievement of High-school Minority Students, 2025 7th International Workshop on Artificial Intelligence and Education (WAIE), September 27-29, 2025, Yokohama, Japan. (Scopus)

[5] L.-S. Chen*, Y.-Y. Chang, L. Hsieh, J.-R. Chang, Developing a Machine Learning-Based Predictive Model for Company-Level Carbon Emissions, International Conference on Intelligent Media and Sustainable Technology Management, July 02-06, 2025, Osaka, Japan.  (Best Paper Award)

[6] L.-S. Chen*, Y.-X. Huang, J.-R. Chang, Detecting Fake eWoM in Social Media: A Machine Learning Approach, International Conference on Intelligent Media and Sustainable Technology Management, July 02-06, 2025, Osaka, Japan.

[7] V. Nalluri, S. M. Appana, A. N. Bhushan, J.-R. Chang and L.-S. Chen*, Retail Service Quality Assessment Using Interval-valued Pythagorean Fuzzy Approach, 2024 4th International Conference on Social Sciences and Intelligence Management, Dec. 20-22, Taichung, Taiwan. (Scopus)

[8] T.-T. Huynh-Cam, D. T. Truong, L.-S. Chen*, T.-C. Lu, V. Nalluri, Predicting Student Success in English Exams Using Artificial Intelligence Algorithms, 2024 4th International Conference on Social Sciences and Intelligence Management, Dec. 20-22, Taichung, Taiwan. (Scopus)

[9] H.-D. Le, T.-T. Huynh-Cam, L.-S. Chen, V. P. T. Ngan, T.-C. Lu, Predicting Learning Performance of Minority Students in Vi-etnamese High School Using Artificial Intelligence Algorithms, 2024 4th International Conference on Social Sciences and Intelligence Management, Dec. 20-22, Taichung, Taiwan. (Scopus)

[10] C.-C. Ho, M.-C. Chen, L.-S. Chen*, Developing a Lexicon based Model to Discovering Crucial Elements of Short Videos, 24th Asia Pacific Industrial Engineering and Management Systems (APIEMS2024), Nov. 10-14, 2024Chiang Mai, Thailand. 

[11] V. Nalluri, L.-S. Chen*, T. Huynh-Cam, S.M. Appana,2024, Assessing Service Quality and E-Satisfaction of E-Learning Platforms: A TISM-Based SERVQUAL Model Approach, 2024 6th International Workshop on Artificial Intelligence and Education (WAIE 2024), Sep. 28-30, Tokyo, Japan. (Scopus)

[12] L.-S. Chen, T. Huynh-Cam, V. Nalluri, T.-C. Lu, S. Agrawal, 2024, Determining Important Factors for First-year Student Dropouts Using Artificial Intelligence Algorithms, 2024 6th International Workshop on Artificial Intelligence and Education (WAIE 2024), Sep. 28-30, Tokyo, Japan. (Scopus)

[13] L.-S. Chen*, C.-C. Ho., Using natural language processing to compare differences of perspectives in short videos on the Israel-Palestine conflict, International Conference on Intelligent Science and Sustainable Development (ISASD), July 8-11, 2024, Tokyo, Japan.

[14] T.-T. Huynh-Cam, L.-S. Chen*, T.-C. Lu, V.-C. Nguyen, Forecasting the employability of Vietnamese fresh graduates for sustainable development, International Conference on Intelligent Science and Sustainable Development (ISASD), July 8-11, 2024, Tokyo, Japan.

[15] L.-S. Chen, V. Nalluri, M. Chowdary K, AI Adoption Challenges for E-Automated Manufacturing Systems: A Total ISM Approach, International Conference on Intelligent Science and Sustainable Development (ISASD), July 8-11, 2024, Tokyo, Japan.

[16] L.-S. Chen*, C.-C. Ho., M.-C. Chen, The Story Behind the Numbers: Key Factors in Audience Engagement with YouTube Shorts on the Israel-Palestine Conflict, 2024 11th International Conference on Industrial Engineering and Applications (ICIEA 2024), April 17-19, 2024, Hiroshima, Japan (Scopus).

[17] V. Nalluri, L.-S.Chen*, A Mixed Approach to Determine the Factors Affecting the Customers Trust on Financial Services on Social Media Platforms, 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2023), Dec. 18-21, 2023, Singapore. (Scopus)

[18]  R. G. Mayopu, L.-S. Chen*, Deep Learning for Journalism: The Bibliometric Analysis of Deep Learning for News Production in the Artificial Intelligence Era, The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Dec. 1-2, 2023, Yunlin, Taiwan. (Scopus)

[19] L.-S. Chen, Z.-J. Luo, V. Nalluri, Constructing Depression Prediction Model using ChatGPT and Machine Learning Algorithms, The 12th International Conference on Awareness Science and Technology (iCAST 2023), Nov. 9-11, 2023, Taichung, Taiwan. (Scopus) (Best Paper Award)

[20] R.G. Mayopu, V. Nalluri, L.-S. Chen*, Classification ChatGPT Generated News and True News Using Support Vector Machines, The 12th International Conference on Awareness Science and Technology (iCAST 2023), Nov. 9-11, 2023, Taichung, Taiwan. (Scopus)

[21] T.-T. Huynh-Cam, L.-S. Chen*, T. V. Ho, D. V. Nguyen, T.-C. Lu, 2023, Identifying Crucial Factors for E-students’ Satisfaction in Vietnamese Emengency Remote Learning Using Machine Learning Methods, The 12th International Conference on Awareness Science and Technology (iCAST 2023), Nov. 9-11, 2023, Taichung, Taiwan. (Scopus)

[22] Y.-Y. Wang, Z.-J. Luo, M.-C. Chen, L.-S. Chen*, Classifying Game Reviews by Using Natural Language Processing and Support Vector Machines with SMOTE-Tomek Algorithm, 14th International Congress on Advanced Applied Informatics, July 8-13, 2023, Koriyama, Japan. (Scopus)

[23] V. Nalluri, L.-S. Chen*, Exploring the Relationship Among Experience Marketing, Customer Loyalty on Purchase Intention- a Case Study of Banking Sector, the 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2022), Dec. 7-10, 2022, Kuala Lumpur, Malaysia. ( MOST 111-2410-H-324-006) (Scopus)

[24]   V. Nalluri, Y.-Y. Wang, L.-S. Chen, A Systematic Review of Fuzzy Scales for Multiple Criteria Decision Making Issues During Covid-19, the 2022 2nd IEEE International Conference on Social Sciences and Intelligence Management (IEEE SSIM 2022), Nov. 24-26, Taichung, Taiwan ( MOST 111-2410-H-324-006) (Scopus).

[25] Y.-Y. Wang, V. Nalluri, L.-S. Chen*, Using text reviews of social media to identify the important factors of influencing the performance of programmatic advertising, the 2022 2nd IEEE International Conference on Social Sciences and Intelligence Management (IEEE SSIM 2022), Nov. 24-26, Taichung, Taiwan ( MOST 111-2410-H-324-006) (Scopus).

[26] V. Nalluri, R.G. Mayopu, L.-S. Chen*, Classification Crisis Communication: An Semiotic Approach With Semantic Technique Analysis, the 2022 2nd IEEE International Conference on Social Sciences and Intelligence Management (IEEE SSIM 2022), Nov. 24-26, Taichung, Taiwan (MOST 111-2410-H-324-006) (Scopus).

[27] R.G. Mayopu, L.-S. Chen*, Two-Way Communication During Covid-19: A Lesson From Indonesia’s Church Online Worship, The 7th International Conference on Business and Industrial Research May 19-20, 2022, Bangkok, Thailand. ( MOST 110-2410-H-324-003) (SCOPUS)

[28]   V. Nalluri, T.-T. Huynh-Cam, L.-S. Chen*, Integrating Fuzzy Decision-Making Model for e-teaching Adoption for the Education Sector, 2022 IEEE 9th International Conference on Industrial Engineering and Applications, April 15-18, 2022, Sanya, Hainan, China. ( MOST 110-2410-H-324-003) (SCOPUS)

[29]   L.-S. Chen*, Y.-X. Wu, The Needs Analysis of Virtual Exergaming, The 26th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Nov. 18-20, 2021, Taichung, Taiwan. ( MOST 110-2410-H-324-003) (SCOPUS)

[30]   T.-T. Huynh-Cam, Z.-J. Luo, L.-S. Chen*, Using Random Forests and Decision Trees to Predict Viewing Game Live Streaming via Viewers’ Comments, The 26th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Nov. 18-20, 2021, Taichung, Taiwan. (MOST 110-2410-H-324-003) (SCOPUS)

[31]   V. Nalluri, C.-T. Lin, L.-S. Chen*, Risk Management Analysis of the Sustainable Supply Chain Using a Fuzzy Hybrid Approach in India, The 26th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Nov. 18-20, 2021, Taichung, Taiwan. ( MOST 110-2410-H-324-003) (SCOPUS)

[32]   T.T. Huynh-Cam, S. Agrawal, L.-S. Chen, E-Learning Benchmarking in Higher Education: Methodology Literature Review, 2021 5th International Conference on Education and Multimedia Technology, July 23-25, Kyoto, Japan. (DOI:10.1145/3481056.3481081) (SCOPUS)

[33]   L.-S. Chen*, Y-R. Lin, 2021, Using text mining and feature selection methods to find key successful factors of movie crowdfunding projects, 2021 8th International Conference on Industrial Engineering and Applications (ICIEA 2021), April 23- 26, 2021, Kyoto, Japan ( MOST 108-2410-H-324-009)

[34]   L.-S. Chen*, T.-W. Kang, 2020, Istoshare: An information system integrated with economic incentives to reduce the intensions of pet owners for abandoning pets, International Conference on Innovative Computing and Management Science 2020, July 29- July 31, 2020, Yilan, Taiwan ( MOST 108-2410-H-324-009)

[35]   L.-S. Chen*, J.-C. Chen, 2020, Using Machine Learning Methods to Detect Medical Fraud, International Conference on Innovative Computing and Management Science 2020, July 29- July 31, 2020, Yilan, Taiwan ( MOST 108-2410-H-324-009)

[36]   L.-S. Chen*, J.-C. Chen, 2020, Using Data Mining Methods to Detect Medical Fraud, 2020 International Conference on Management of e-Commerce and e-Government (ICMECG 2020), July 1-3, Jeju Island, Korea. (SCOPUS) ( MOST 108-2410-H-324-009)

[37]   L.-S. Chen*, M.-C. Chen, Y.-R. Lin, Customer Needs Analysis for Overseas Purchasing in Taiwan, 8th International Congress on Advanced Applied Informatics, July 7-12, 2019, Toyama, Japan. (SCOPUS) (MOST 107-2410-H-324-004)

[38]   H.-L. Wu, C.-C. Chang and L.-S. Chen, Secure Authentication Scheme with Conditional Privacy Preservation in a Global Mobility Communication Network, 2019 International Electronics Communication Conference (IECC 2019), 7-9 July, 2019, Okinawa, Japan. (EI, SCOPUS)

[39]   L.-S. Chen*, E.-L. Shen, The Key Success Factors of Crowdfunding Projects, International Conference on Innovative Computing and Management Science 2019, July 19-22, 2019, Osaka, Japan. (MOST 107-2410-H-324-004)

[40]   L.-S. Chen*, J.-Y. Hsu, Discover Users’ Needs in e-Learning by Kano Analysis and Decision Trees, The 6th International Conference on Industrial Engineering and Applications, April 12-15, 2019, Tokyo, Japan. (SCOPUS) (MOST 107-2410-H-324-004)

[41]   H.-L. Wu, C.-C. Chang, L.-S. Chen, On the security of a secure anonymous authentication protocol for mobile services on elliptic curve cryptography, 2018 The 6th International Conference on Information Technology: IoT and SmartCity (ICIT 2018), Dec. 29-31, 2018, Hong Kong. (SCOPUS)

[42]   L.-S. Chen*, Y.-T. Pan, The Keywords of Affecting Performance for Live Streaming, IIH-MSP 2018 : The 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Nov. 26-28, 2018, Sendai, Japan. (SCOPUS) (MOST 107-2410-H-324-004)

[43]   W.-T. Chien, G. Chakraborty, L.-S. Chen, Identifying important factors affecting O2O customers trust from textual reviews, The 9th IEEE International Conference on Awareness Science and Technology (iCAST 2018), September 19 - 21, 2018, Fukuoka, Japan. (SCOPUS)

[44]   J.-R. Chang, L.-S. Chen*, S.-C. Tseng, Apply Data Mining Approach to Identify Non-revisit Factors for Hotel Industry, 7th International Congress on Advanced Applied Informatics, July 8-12, 2018, Yonago, Tottori, Japan. (SCOPUS)

[45]   L.-S. Chen*, M.-R. Lin, Y.-T. Pan, Find crucial factors of in-game purchase using neural networks, The 8th International Conference on Awareness Science and Technology (iCAST 2017), Nov. 8-10, 2017, The Splendor Hotel, Taichung, Taiwan. (MOST 104-2410-H-324-009-MY2) (SCOPUS, EI)

[46]   L.-S. Chen*, W.-T. Chien, H.-N. Chang, Build Sentiment Classification Prediction Model for O2O Service, 2017 3rd International Conference on Industrial and Business Engineering, August 17-19, 2017, Sapporo, Japan.

[47]   M.-C. Chen, L.-S. Chen, Y. Wei, 2017, Apply ensemble empirical mode decomposition to discover time variants of metro station passenger flow, 2017 4th international conference on industrial engineering and applications, April 21-23, Nagoya, Japan (SCOPUS, EI)

[48]   L.-S. Chen*, S.-C. Tseng, M.-C. Chen, Discovering key features of influencing performances of online reviews in social media, The 18th International Conference on Industrial Engineering, October 10-12, 2016, Seoul, Korea (MOST 104-2410-H-324-009-MY2).

[49]   L.-S. Chen*, W.-T. Chien and J.-R. Chang, Applying data mining methods to instutuional research: a study of alumni satisfaction survey, The 18th International Conference on Industrial Engineering, October 10-12, 2016, Seoul, Korea (MOST 104-2410-H-324-009-MY2).

[50]   L.-S. Chen*, J.-R. Chang, T.-M. Cheng, A study on alumni satisfaction survey and correlation analysis of core competencies, labor education, extracurricular activities and alumni salary levels, 2016 International Conference on Institutional Research in Taiwan (ICIRT 2016), Taichung, May 20-21, Taiwan (MOST 104-2410-H-324-009-MY2).

[51]   L.-S. Chen*, M.-R. Lin, J.-R. Chang, A Decision Tree based Method for Extracting Important Elements of In-applications Purchases, The Third International Conference on Computing, Measurement, Control and Sensor Network, May 20‐22, 2016, Matsue, Shimane, Japan. (MOST 104-2410-H-324-009-MY2)

[52] L.-S. Chen*, M.-R. Lin, Key Factors of In-App Purchase for Game Applications, 7th International Conference on Emerging Trends in Engineering & Technology (ICETET-15), 18–20 November 2015, Kobe, Japan.(MOST104-2410-H-324-009-MY2)

[53] L.-S. Chen*, C.-W. Yen, A study of downloading game applications, 2nd International Conference on Industrial Engineering, Management Science and Applications, May 26th to 28th, 2015 in Tokyo, Japan. (MOST 101-2628-E-324-004-MY3) (EI)

[54]   L.-S. Chen*, T.Y. K. Yang, Increasing customer loyalty in internet marketing, The First Euro-China Conference on Intelligent Data Analysis and Applications (ECC-2014), Shenzhen, China, June 13-15, 2014. (NSC 101-2628-E-324-004-MY3) (EI)

[55] L.-S. Chen*, T.-C. Kuo, Using Decision Trees to Identify Key Factors of Keyword Advertisements, International Multi-Conference of Engineers and Computer Scientists 2014 (IMECS 2014), Hong Kong, 12-14 March, 2014. (NSC 101-2628-E-324-004-MY3) (Best Paper Award)

[56]   L.-S. Chen*, T.Y. K. Yang, The Crucial Social Media Marketing Factors in Bed and Breakfast Industry, 2014 International Conference on Business and Social Sciences, Tokyo, Japan, 28-30 March, 2014. (NSC 101-2628-E-324-004-MY3)

[57] C.-Y. Hsueh, L.-S. Chen, Q. Zhao, Awareness of manipulation in on-line review, IEEE International Conference on Awareness Science and Technology & Ubi-Media Computing, 2-4 Nov., 2013, Aizu-Wakamatsu, Japan. (Best Paper Award)

[58]   L.-S. Chen*, J.-Y. Lin, 2013, A study on review manipulation classification using decision tree, The 10th IEEE International Conference on Service Systems and Service Management (ICSSSM’13), July 17-19, 2013, Hong Kong. (NSC 101-2628-E-324-004-MY3) (EI indexed)

[59]   C.-Y. Huang, R.-C. Chen, L.-S. Chen, Course-recommendation systen based on ontology, International Conference on Machine Learning and Cybernetics, July 14-17, 2013, Tianjin, China.

[60]   L.-S. Chen*, C.-Y. Hsueh, C.-C. Hsu, 2013, Improving the performance of classifying review manipulation in e-commerce, International Conference on Innovation and Management, Sapporo, Japan, Jan. 28-31. (NSC 101-2628-E-324-004-MY3)

[61]   L.-S. Chen*, Y.-Y. Yang, 2012, Identifying key factors for increasing royalty of customers in mobile shopping services, IAENG International Conference on Data Mining and Applications (ICDMA'12), March 14-16, Hong Kong. (EI indexed)

[62]   L.-S. Chen*, K.-C. Sun, 2012, Identifying Key Factors and Developing a New Method for Classifying Imbalanced Sentiment Data, IAENG International Conference on Data Mining and Applications (ICDMA'12), March 14-16, Hong Kong. (EI indexed) “PAPER AWARD: Certificate of Merit”

[63]   H.-K. Chen, C.-P. Chang, L.-F. Chen, L.-S. Chen, Winning Customers’ Hearts and Minds using DFSS approach, 4th International Conference on Lean Six Sigma, 26-27 March, 2012, Glasgow, Scotland, UK.

[64]   L.-S. Chen*, C.-C. Hsu, C.-W. Chang, 2011, Improving Text Sentiment Classification Performance by Balancing Positive and Negative Features, CSE-11-ICGST International Conference on Computer Science and Engineering, 19-21 Dec 2011, Turkey (NSC 100-2914-I-324-003-A1)

[65]   L.-S. Chen*, C.-W. Chang, 2011, A new term weighting method by introducing class information for sentiment classification of textual data, IAENG International Conference on Data Mining and Applications (ICDMA'11), March 16-18, Hong Kong. (EI indexed) (NSC 98-2410-H-324 -007 -MY2)

[66]   L.-S. Chen*, L.-W. Lin, C.-C. Hsu, 2011, Developing a cluster based sampling method for imbalanced bloggers’ sentiment data, 2011 International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology  (e-CASE & e-Tech 2011), Tokyo, Japan, January 18-20, 2011 (EI indexed) (NSC 98-2410-H-324 -007 -MY2)

[67]   L.-S. Chen* and S.-H. Chen, 2010, Applying TRIZ techniques to innovative product functions creation: An example of smart phones, The 11th Asia Pacific Industrial Engineering & Management Systems (APIEMS) Conference and the 13th Asia Pacific Regional Meeting of the International Foundation for Production Research, Dec. 7-10, 2010, Melaka, Malaysia. (NSC 98-2410-H-324 -007 -MY2)

[68]   L.-S. Chen* and C.-W. Chang, 2010, A feature selection method for classifying textual sentiment data, The 11th Asia Pacific Industrial Engineering & Management Systems (APIEMS) Conference and the 13th Asia Pacific Regional Meeting of the International Foundation for Production Research, Dec. 7-10, 2010, Melaka, Malaysia. (NSC 98-2410-H-324 -007 -MY2)

[69]   L.-S. Chen*, L.-W. Lin, 2010, Two methods for classifying bloggers' sentiment, IAENG International Conference on Data Mining and Applications (ICDMA'10), Vol. 1, 576-579, March 17-19, Hong Kong. (NSC 98-2410-H-324 -007 -MY2) (EI indexed) “PAPER AWARD: Certificate of Merit”

[70]   L.-S. Chen*, P.-C. Chang, 2010, Identifying Crucial Website Quality Factors of Virtual Communities, IAENG International Conference on Data Mining and Applications (ICDMA'10), Vol. 1, 487-492, March 17-19, Hong Kong. (NSC 98-2410-H-324 -007 -MY2) (EI indexed)

[71]   L.-S. Chen*, Y.-S. Chang, L.-W. Lin, M.-C. Chen, 2009, A SOM based approach for learning from imbalanced data sets, The 19th Intelligent System Symposium (FAN 2009), Sep. 17~18, Aizu- Wakamatsu, Japan. (NSC 98 - 2410 - H - 324 - 007 - MY2)

[72]   L.-S. Chen*, C.-C. Lin, C.-C. Hsu, S.-H. Chen, 2009, A Systematic Approach for New RFID Products Quality Elements Creation, ANQ Congress 2009, Sep. 15~18, Tokyo, Japan. (NSC 98 - 2410 - H - 324 - 007 - MY2)

[73]   K.-Y. Chen, L.-S. Chen, M.-C. Chen, C.-L. Lee, 2009, Applying Neural Networks to Detect the Failures of Turbines in Thermal Power Facilities, Proceedings of the 2009 IEEE International Conference on Industrial Engineering and Engineering Management, 708-711, Hong Kong, 8-11 December, 2009. (EI indexed)

[74]   L.-S. Chen*, C.-C. Hsu, L.-F. Chen, 2009, Developing a robust classifier for fault detection in production environment, the 13th IFAC Symposium on Information Control Problems in Manufacturing, INCOM '09, June 3~5, 2009, Moscow, Russia. (NSC 96-2416-H-324 -003 -MY2)

[75]   L.-S. Chen*, H.-J. Chiu, 2009, Developing a neural network based index for sentiment classification, IAENG International Conference on Data Mining and Applications (ICDMA'09), March 18-20, Hong Kong. (NSC 96-2416-H-324 -003 -MY2) (EI indexed) (Certificate of Merit)

[76]   L.-S. Chen*, Z.-C. Lin, 2009, FAIR: A Fuzzy ART network based scheme for retrieving useful information from blogs, IAENG International Conference on Data Mining and Applications (ICDMA'09), March 18-20, Hong Kong. (NSC 96-2416-H-324 -003 -MY2) (EI indexed)

[77]   L.-S. Chen*, C.-C. Hsu, Y.-S. Chang, 2009, MDS: A Novel Method for Class Imbalance Learning, The 3rd International Conference on Ubiquitous Information Management and Communication, January 15-16, 2009, SKKU, Suwon, Korea. (NSC 96-2416-H-324 -003 -MY2)

[78]   L.-S. Chen*, C.-C. Hsu, P.-C. Chang, 2008, Developing a TRIZ-Kano model for creating attractive quality, the 4th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Oct. 12-14, Dalian, China (EI indexed). (NSC 96-2416-H-324 -003 -MY2) (Best Paper Award)

[79]   C.-C. Hsu*, L.-S. Chen, 2008, Integrate Independent Component Analysis and Support Vector Machine for Monitoring Non-Gaussian Multivariate Process, the 4th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Oct. 12-14, Dalian, China (EI indexed).

[80]   Chen, L.-S.* & Chang, P.-C., 2007, Creating attractive quality of on-line games, the 8th Asia Pacific Industrial Engineering & Management System and 2007 Chinese Institute of Industrial Engineers  Conference (APIEMS & CIIE Conference 2007), Dec. 9~13, Kaohsiung, Taiwan. (NSC96-2416-H-324 -003 -MY2)

[81] M.-C. Chen*, L.-S. Chen, F.-H. Hsu, Y.-C. Hsu, 2007, HPRS: A profitability based recommender system, IEEE International Conference on Industrial Engineering and Engineering Management, Dec. 2~5, Singapore (EI indexed). (NSC96-2416-H-324 -003 -MY2)

[82]   Chen, L.-S.* & Duh, Y.-P., 2007, Mining knowledge from blogs: an example of VoIP phone products, 37th International Conference on Computers and Industrial Engineering, Oct. 20-23, Alexandria, Egypt.(NSC96-2416-H-324 -003 -MY2)

[83]  Su, C.-T.*, Yang, T., Chen, L.-S and Chiang, T.-L., 2006, A novel method to shorten inspection process: a case study, INCOM 2006: 12th IFAC Symposium on Information Control Problems in Manufacturing, Vol. 3, pp. 529-534, Saint-Etienne, France.

[84]  Chen, L.-S.* and Su, C.-T., 2006, Multiple techniques for learning from imbalanced/skewed data, 36th International Conference on Computers and Industrial Engineering, Taipei, Taiwan. (Excellent Student Paper Award)

國內研討會

[1]       羅子傑、陳隆昇*，以社群媒體文章建立憂鬱症判斷模式，DLT 2022 數位生活科技研討會，May 13-14, 2022，國立高雄科技大學。( MOST 110-2410-H-324-003)

[2]       陳隆昇、林憶如，電影群眾募資專案關鍵成功要素之研究，DLT 2021 數位生活科技研討會，May 14-15, 2021，國立屏東大學。

[3]       L.-S. Chen*, Y.-T. Pan, The Key Factors of Increasing the Number of Viewers in Live Streaming, The 12th International Conference on Advanced Information Technologies. The 8th Forum on Taiwan Association for Web Intelligence Consortium, April 21, 2018, Taichung, Taiwan.

[4]       陳隆昇、黃煊越、徐廷豪、鍾佳伶、劉羽娟、陳怡璇、陳煖庭, 網路報名管理系統網站, The 12th International Conference on Advanced Information Technologies. The 8th Forum on Taiwan Association for Web Intelligence Consortium, April 21, 2018, Taichung, Taiwan.

[5]       陳隆昇*、簡婉婷，以社群文字評論預測O2O商務之滿意度，2017 第十一屆資訊科技國際研討會暨第七屆網路智能與應用研討會，April 22, 2017,台中。

[6]       陳隆昇*、林孟儒、張景榮，遊戲App內部購買關鍵研究:SVM-RFE和LASSO之比較，2016年資訊科技國際研討會暨民生電子論壇，台中，April 23，2016. (MOST 104-2410-H-324-009-MY2)

[7]       J.-S. Syu, Q. Zhao, L.-S. Chen, On the Efficiency and Efficacy of NNC-Trees for Intrusion Detection，2016年資訊科技國際研討會暨民生電子論壇，台中，April 23，2016. (最佳論文獎)

[8]       陳隆昇*、劉俊誠，預測行動廣告點閱率之研究，DLT 2015 數位生活科技研討會，高雄大學，June 26-27, 2015. (MOST 101-2628-E-324-004-MY3)

[9]       陳隆昇*、嚴振偉，免費遊戲APP 下載與APP 內消費重要因素之研究，DLT 2015 數位生活科技研討會，高雄大學，June 26-27, 2015. (MOST 101-2628-E-324-004-MY3)

[10]   陳隆昇*、嚴振偉，2015，影響遊戲APP下載重要因素之探討，2015年資訊科技國際研討會暨民生電子論壇，台中，April 24-25，2015. (MOST 101-2628-E-324-004-MY3)

[11]   陳隆昇*、劉俊誠，2015，影響行動廣告點閱率重要因子之研究，2015年資訊科技國際研討會暨民生電子論壇，台中，April 24-25，2015. (MOST 101-2628-E-324-004-MY3)

[12]   陳隆昇*、許智翔，植基於倒傳遞類神經網路之方法以提升產品虛假評論分類績效，DLT 2014 數位生活科技研討會，高雄大學，June  20-21, 2014. (NSC 101-2628-E-324-004-MY3)(最佳論文獎)

[13]   陳隆昇*、劉俊誠，預測關鍵字廣告點閱率之研究，DLT 2014 數位生活科技研討會，高雄大學，June  20-21, 2014. (NSC 101-2628-E-324-004-MY3)

[14]   陳隆昇*、蔡昇哲，植基於倒傳遞類神經網路之不平衡資料抽樣方法，DLT 2014 數位生活科技研討會，高雄大學，June  20-21, 2014. (NSC 101-2628-E-324-004-MY3)

[15]   陳隆昇*、蔡昇哲，不平衡語意分類方法之比較:以線上旅遊評論為例，「International Conference on Information Management 2014」(ICIM 2014) 第廿五屆國際資訊管理學術研討會，台中中興大學，May 24, 2014. (NSC 101-2628-E-324-004-MY3)

[16]   陳隆昇*、楊宗諭，有效社群媒體行銷手法之研究，2014第八屆資訊科技國際研討會，台中， 18-19 April，2014. (NSC 101-2628-E-324-004-MY3)

[17]   陳隆昇*、薛仱芸，植基於潛在語意索引之網路虛假評論辨識方法，2014第八屆資訊科技國際研討會，台中，18-19 April，2014. (NSC 101-2628-E-324-004-MY3)

[18]   陳隆昇*、薛仱芸，植基特徵選取之分類法以提升網路虛假評論分類正確率，2013第十九屆IMP資訊管理暨實務研討會, 台中科技大學, Dec. 7, 2013.

[19]   陳隆昇*、林瑞裕，2013，辨識科技產品操弄評論之研究，2013第七屆資訊科技國際研討會，台中，April 26-27，2013. (NSC 101-2628-E-324-004-MY3)

[20]   陳隆昇*、郭泰成，2012，辨識提昇關鍵字廣告點閱率之重要品質要素，第二屆創新發明應用研討會，台中，Nov. 23，2012. (NSC 101-2628-E-324-004-MY3)

[21]   黃忠義、陳榮靜、陳隆昇，2012，以本體論實現學生選課推薦系統，The 2012 Conference on Technologies and Applications of Artificial Intelligence TAAI 2012, Tainan, Taiwan, Nov. 16-18, 2012.

[22]   陳隆昇*、楊依依, 2012, 發展特徵選取方法以辨識行動購物服務品質關鍵因素之研究, 2012 International Conference on Advanced Information Technologies and The Second National Conference on Web Intelligence and Applications, April 27-28, Taichung, Taiwan.

[23]  陳隆昇*、孫昆正, 2012, 改善不平衡語意分類之研究, 2012 International Conference on Advanced Information Technologies and The Second National Conference on Web Intelligence and Applications, April 27-28, Taichung, Taiwan. Best Paper Award

[24]   陳隆昇*、邱柏瑋、王智文, 2012, 關鍵字廣告品質要素之分析, 2012 International Conference on Advanced Information Technologies and The Second National Conference on Web Intelligence and Applications, April 27-28, Taichung, Taiwan.

[25]   陳隆昇*、張家偉，2011，提升語意分類績效之研究，第22屆國際資訊管理學術研討會(ICIM2011)，May 21, 2011, Taichung. (NSC 98-2410-H-324 -007 -MY2)

[26]   陳隆昇*、陳仕勳，2011，發展六標準差設計方法以解決保險業之顧客抱怨，第22屆國際資訊管理學術研討會(ICIM2011)，May 21, 2011, Taichung. (NSC 98-2410-H-324 -007 -MY2)

[27]   陳隆昇*、張保中，2010，虛擬社群網站之顧客需求探討，2010 International Conference on Advanced Information Technologies, April 23-24, Taichung, Taiwan. (NSC 98-2410-H-324 -007 -MY2) (Best Paper Award)

[28]   陳隆昇*、林春成，2009，植基於部落格內容探勘之創新產品發展模式，CIIE2009中國工業工程學會98年度年會暨學術研討會，Dec. 12，台中，台灣。(NSC 98 - 2410 - H - 324 - 007 - MY2)

[29]   陳隆昇*、林姿呈、林春成，2009，部落格中顧客需求資訊攫取模式，TAAI 2009 第十四屆人工智慧與應用研討會，Oct. 30~31，台中，台灣。(NSC 98 - 2410 - H - 324 - 007 - MY2)

[30]   陳隆昇*、林立為，2009，植基倒傳遞類神經網路之不平衡資料處理機制，TAAI 2009 第十四屆人工智慧與應用研討會，Oct. 30~31，台中，台灣。(NSC 98 - 2410 - H - 324 - 007 - MY2)

[31]   陳隆昇*、張毓珊、林立為，改善類別不平衡問題之研究，2009新世代工業工程與系統管理研討會，五月22日，台中，台灣。

[32]   林敬森、陳隆昇*、林春成，改善教學網站品質之研究，2009新世代工業工程與系統管理研討會，五月22日，台中，台灣。

[33]   陳隆昇*、林姿呈，2009，FAIR：應用於部落格文章之資訊攫取模式，2009 International Conference on Advanced Information Technologies, April 24, Taichung, Taiwan. (NSC 96-2416-H-324 -003 -MY2)

[34]   陳隆昇*、邱慧如，2009，發展植基於支撐向量機的語意導向指標以分類部落客之情緒，2009 International Conference on Advanced Information Technologies, April 24, Taichung, Taiwan. (NSC 96-2416-H-324 -003 -MY2)

[35]   陳隆昇*、張毓珊，2009，結合馬氏距離和支援向量機之兩階段分類方法以解決類別不平衡問題，2009 International Conference on Advanced Information Technologies, April 24, Taichung, Taiwan. (NSC 96-2416-H-324 -003 -MY2)

[36]   陳隆昇*、杜逸普，2008，部落格探勘，2008 International Conference on Advanced Information Technologies, April 25~26, Taichung, Taiwan.(In Chinese)

[37]   陳隆昇*、張保中，2008，發展C-KANO MODEL以創造線上遊戲之魅力品質，2008 International Conference on Advanced Information Technologies, April 25~26, Taichung, Taiwan. (In Chinese)