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Li-Chen Cheng

Li-Chen Cheng Associate Professor

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Education:

Ph.D., Department of Information and Management, National Central University

Research Interests:

Machine learning( deep learning), FinTech (Financial technique, Digital finance) , Opinion mining, AI in internet marketing, Business Intelligence, Social Computing

Laboratory:

Hung Yu Technology & Research Building 942

Office hour

Monday  16:00~18:00

 

Ext:

6720

Website

 

 

 Experience:

1

Associate Professor, Computer Science & Information Management, Soochow University

2

Engineer, Institute for Information Industry

3

Business Consultant

4

Professional Lecturer

 

 Journal Papers

1

Li-Chen Cheng, Ming-Chan Lin (2019) A hybrid recommender system for the mining of consumer preferences from their reviews. Journal of Information Science.

2

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)。 

3

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)

4

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). 

5

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).

6

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).

7

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)

8

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).

9

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).

10

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).

11

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)

12

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%).

13

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).

14

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%).

15

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).

16

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) 

17

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

1

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.

2

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 

3

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

4

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

5

Li-Chen Cheng, Yan-Wei Huang (2015) To Quantize Comments from IMDB as For Improving Sequels, International Conference on Innovation and Management

6

Li-Chen Cheng, Chi-Lun Huang  (2015) Mining Some Important Features from IMDb Reviews, International Conference on Innovation and Management

7

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)

8

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.

9

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】

10

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】

11

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】

12

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】

13

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)

 

 Academic Services

 

Associate Editor, science 2014, Electronic Commerce Research and Applications (SSCI)

 

Information and Management (SSCI)

 

Interactive Learning Environment (SSCI)

 

Decision Support Systems (SCI)

 

Electronic Commerce Research (SSCI) 

 

Computers in Human Behavior (SSCI) 

 

Knowledge-Based Systems(SCI) 

 

European Journal of Operational Research(SCI)

 

Applied Soft Computing(SCI) 

 

Int. J. of Information Technology and Decision Making (IJITDM) (SCI)

 

IInternational Journal of Distance Education Technologies

 

 Academic Rewards

1

2012, 2013, 2015 received the MOST Talent Award by the Ministry of Science and Technology

2

2014, 2016, 2017, received the MOST Special Outstanding Talent Award by the Ministry of Science and Technology

 

 Courses

1

Big data marketing and data analysis

2

System analysis and design

3

Enterprise resource planning

4

Decision support system

 

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