Li-Chen Cheng
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Li-Chen Cheng Associate Professor |
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Education： |
Ph.D., Department of Information and Management, National Central University |
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Research Interests： |
Machine learning( deep learning), FinTech (Financial technique, Digital finance) , Opinion mining, AI in internet marketing, Business Intelligence, Social Computing |
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Laboratory： |
Hung Yu Technology & Research Building 942 |
Office hour： Monday 16:00~18:00 |
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Ext： |
6720 |
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Associate Professor, Computer Science & Information Management, Soochow University |
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Engineer, Institute for Information Industry |
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Business Consultant |
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Professional Lecturer |
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Li-Chen Cheng, Ming-Chan Lin (2019) A hybrid recommender system for the mining of consumer preferences from their reviews. Journal of Information Science. |
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鄭麗珍、江彥孟、游政憲 (2019).應用深度學習技術於網路虛假評論偵測。電子商務學報（TSSCI）。 |
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Li-Chen Cheng, Chi-Lun Huang (2019). Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach. Electronic Commerce Research. (SSCI , IF=1.489) |
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Li-Chen Cheng, Chia-Chi WU, Chih-Yi, Chen (2019, Jan). Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study. Journal of Global Information Management.27(1)(SSCI, IF=0.613). |
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Li-Chen Cheng, Hui-Chun Chu (2019, Jan). An innovative consensus map embedded collaborative learning system for ER diagram learning: sequential analysis of students’ learning achievements. Interactive Learning Environments. , 27:3, 410-425, DOI: 10.1080/10494820.2018.1482357 (SSCI, IF=1.604). |
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Li-Chen Cheng, Ya-Han Hu, Shr-Han Chiou (2017, May). Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression. Journal of Medical Systems, 41(5). (SCI, IF=2.098). |
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Li-Chen Cheng, Yen-Liang Chen, Yu-Chia Chiang (2016, Oct). Identifying conflict patterns to reach a consensus –A novel group decision approach. European Journal of Operational Research, 254(2). (SCI, IF=3.428) |
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Li-Chen Cheng, Min-Jhuan Jhang (2015, Nov). A novel approach to exploring maximum consensus graphs from users’ preference data in a new age environment. Electronic Commerce Research, 15(4). (SSCI , IF=1.489). |
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Li-Chen Cheng, Hui-Chun Chu, Bang-Min Shiue (2015, Oct). An Innovative Approach for Assisting Teachers in Improving Instructional Strategies via Analyzing Historical Assessment Data of Students. International Journal of Distance Education Technologies, 13(4), 40-61. (EI). |
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Li-Chen Cheng, Hua-An Wang (2014, May). A fuzzy recommender system based on the integration of subjective preferences and objective information. Applied Soft Computing, 18, 290–301. (SCI, IF=3.907). |
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Yen-Liang Chen, Li-Chen Cheng, Weu-Yu Hsu (2013, Dec). A New Approach to the Group Ranking Problem: Finding Consensus Ordered Segments from Users' Preference Data. Decision Sciences, 44(6),1091-1119. (SSCI, IF=1.641) |
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Yen-Liang Cheng, Li-Chen Cheng Po-Hsiang Huang (2013, Jan). Mining consensus preference graphs from users' ranking data. Decision Support Systems, 54(2), 1055-1064. (SCI, IF=3.565) (COMPUTER SCIENCE, INFORMATION SYSTEMS)(23/184=13%). |
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Li-Chen Cheng, Li-Min Sun (2012, Apr), Exploring consumer adoption of new services by analyzing the behavior of 3G subscribers: an empirical case study, Electronic Commerce Research and Applications, 11(2), pp.89-100. (SSCI, IF= 2.582). |
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Yen-Liang Chen, Li-Chen Cheng (2010, Mar) An approach to group ranking decisions in a dynamic environment, Decision Support Systems, 48(4), pp. 622-634. (SCI, IF=3.565) (COMPUTER SCIENCE, INFORMATION SYSTEMS)(23/184=13%). |
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Yen-Liang Chen, Li-Chen Cheng, (2009, Oct.) Mining maximum consensus sequences from group ranking data, European Journal of Operational Research, 198(1), pp. 241-251. (SCI, IF=3.428). |
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Yen-Liang Chen, Li-Chen Cheng (2008, May) A novel collaborative filtering approach for recommending ranked items, Expert Systems with Applications, 34(4), pp. 2396-2405. (SCI, =3.768) |
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Yen-Liang Chen, Li-Chen Cheng and C. N. Chung, (2008, Apr.) A group recommendation system with consideration of interactions among group members, Expert Systems with Applications, 34(3), pp. 2082-2090. (SCI, =3.768) |
Seminar Papers
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Mu-En Wu, Yu-Hsiang Huang, Li-Chen Cheng,(2018) Applied attention-based LSTM neural networks in stock prediction. The 2nd International Workshop on Big Data for Financial News and Data, Seattle. |
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Li-Chen Cheng, Yh-Hsin Lien, Yan Meng Chiang (2017) Applied deep learning in fake review detection and dataset generation, 2017 IEEE International Conference on Big Data |
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Li-Chen Cheng, Pin-Yi Li, Ssu-Hua Chen (2017) Explore users’ preference from Facebook fan pages, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
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Li-Chen Cheng, Judy C. R. Tseng, Tsai- Yu Chung (2017) Case Study of Fake Web Reviews, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
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Li-Chen Cheng, Yan-Wei Huang (2015) To Quantize Comments from IMDB as For Improving Sequels, International Conference on Innovation and Management |
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Li-Chen Cheng, Chi-Lun Huang (2015) Mining Some Important Features from IMDb Reviews, International Conference on Innovation and Management |
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Li-Chen Cheng*, Chi Lun Huang (2014) Mining the Reviews of Movie Trailers on YouTube and Comments on Yahoo Movies, The 2014 International Conference on Information and Knowledge Engineering (IKE'14) |
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Li-Chen Cheng*, Min-Juan Jhang (2012). Applied graph mining technique to discover consensus graphs from group ranking decisions. The 2012 International Conference on Artificial Intelligence (ICAI'1), Las Vegas, USA. |
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Shin-Yi Wu, Li-Chen Cheng (March, 2012) , “Mining Same-taste Users with Common Preference Patterns for Ubiquitous Exhibition Navigation”, 4th Asian Conference on Intelligent Information and Database Systems (ACIIDS-2012), Kaohsiung, Taiwan 【EI】 |
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Li-Chen Cheng*, Hua-An Wan (June, 2011), “A novel fuzzy recommendation system integrated the experts' opinion”, 2011 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 2011), Taipei, Taiwan, pp. 2060 – 2065. (NSC 99-2410-H-031-051)【EI】 |
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Li-Chen Cheng*, Zhi-Han Ke, Bang-Min Shiue, (July, 2011), “Detecting changes of opinion from customer reviews” , The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'11), Shanghai, China, Vol. 3, pp. 1851 – 1855. (NSC 99-2410-H-031-051)【EI】 |
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Li-Chen Cheng*, Min-Ting Lai (July, 2011), “Mining the change of consensus from group ranking decisions” , The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'11) Shanghai, China, Vol. 3, pp. 1515 – 1519. (NSC 99-2410-H-031-051).【EI】 |
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Ding-Chyu Liu, Li-Chen Cheng (July, 2010) “Using Model Checking to Ensure Transaction Fairness in E-Commerce Protocols”, 2010 International Conference on Business and Information (BAI2010), Kitakyushu, Japan. (NSC 98-2410-H-031 -001) |
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Associate Editor, science 2014, Electronic Commerce Research and Applications (SSCI) |
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Information and Management (SSCI) |
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Interactive Learning Environment (SSCI) |
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Decision Support Systems (SCI) |
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Electronic Commerce Research (SSCI) |
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Computers in Human Behavior (SSCI) |
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Knowledge-Based Systems(SCI) |
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European Journal of Operational Research(SCI) |
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Applied Soft Computing(SCI) |
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Int. J. of Information Technology and Decision Making (IJITDM) (SCI) |
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IInternational Journal of Distance Education Technologies |
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2012, 2013, 2015 received the MOST Talent Award by the Ministry of Science and Technology |
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2014, 2016, 2017, received the MOST Special Outstanding Talent Award by the Ministry of Science and Technology |
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Big data marketing and data analysis |
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System analysis and design |
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Enterprise resource planning |
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Decision support system |