Rung-Ching Chen

Rung-Ching Chen (Dr. and IET Fellow)

Professor at Department of Information Management

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Brief biography

Rung-Ching Chen received the B.S. degree from department of electrical engineering in 1987, and the M. S. degree from the institute of computer engineering in 1990, both from National Taiwan University of Science and Technology, Taipei, Taiwan. In 1998, he received the Ph.D. degree from the department of applied mathematics in computer science sessions, National Chung Tsing University. He is now a professor at the Department of Information Management, Taichung, Taiwan. He was a Department Chair of Information Management in CYUT, Chaoyang University of Technology, between 2005 and 2007. He has been a Dean of Informatics College of CYUT since 2007 to 2015. He was the Execution Director of Institution Research Office during Dec. 2015 and Jan. 2017 in CYUT. He also the president of Taiwanese Association for Consumer Electronics during December, 2012 and Dec. 2014. He has been a Fellow of IET since July, 2011. He was a visiting Professor at University of Central Florida, U.S.A. in 2012. He got a PMP(Project Management Professional) certification in 2013. His research interests include networks technology, domain ontology, pattern recognition and knowledge engineering, IoT and data analysis, the applications of Artificial Intelligent.

Latest Projects


A DNN-based MRT Daily Passenger Flow Prediction Model with Different Combinations of Influential Factors

Nowadays mass passenger flow phenomena at different degrees appear in many big cities with large-scale transit network, and those phenomena tend to be regular and complicated. As the most popular public transport in Taipei, Mass Rapid Transit (MRT) is a quite effective traffic tool to relieve the pressure of passenger congestion, especially in rush hours. In this paper, a MRT passenger flow prediction model with deep neural network (DNN) is proposed. The various combinations of influenced factors including historical passenger flow, temporal factors, directional factor and holiday factor have been trained as the inputs by using the dataset collected from Taipei Main stations. The experiments results revealed that the modeling approach and the input influenced factors are both important elements to affect the performances of the passenger flow prediction model.

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Project BeeGO - Make Robot more Human

Project BeeGO is robotic action recommendation based on emotion of user. We utilized RBM multimodal deep learning to learn emotion from user. Through user's emotion, robot could take proper action to make it more like human being.

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Constructing a Recommendation System Based on Domain Ontology Knowledge and Similarity Tree Based on Social Media Integration

In this project, we propose a method to build the recommender system and to include the factor of social media circle as our consideration factor to give the user more experience and to see if this factor has a big influence to the decision that the user made.

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Other Projects

計畫編號 計畫名稱 主辦單位 期間 職務
106-2218-E-324 -002 - 整合物聯網與大數據分析在智能家庭與居家關懷之應用 科技部 2017/06/01~2018/05/31 主持人
106-2221-E-324 -025 – 利用深度學習網路架構和社會本體活動構建大數據環境中的推薦系統 科技部 2017/08/01~2018/07/31 主持人
106-2816-E-324 -001 – 邀請大陸人士--于慧(英國普之茅斯大學Reader) 科技部 2017/11/07~2017/11/12 主持人
104-2221-E-324-019-MY2 以領域本體知識與相似樹為基礎整合社群媒體建構一個推薦系統 科技部 2015/08/01~
2017/07/31
主持人
103-2221-E-324-028- 以智慧手機進行使用者偏好結合社群知識在個人化推薦之研究 科技部 2014/08/01~
2015/10/20
主持人
103-2632-E-324-001-MY3 建構智慧安全之銀髮健康照顧服務系統以朝陽科大銀髮園為例 科技部 2014/08/01~
2017/07/31
共同主持人
103-2221-E-324-018- 基於階層式路由之無線感測網路之能量效率研究 科技部 2014/08/01~
2015/10/31
共同主持人
TJ2-101B517 東捷公司企業資訊安全網建構計畫謝加奮 校產學案 2013/01/07-2014/01/06 主持人
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Journal Paper

  • Rung-Ching Chen, HuiQin Jiang, Chung-Yi Huang, and Cho-Tsan Bau, Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis, Journal of Healthcare Engineering, 2017(SCI, Accepted, ISSN 2040 2295 )
  • Rung-Ching Chen, Hendry and Lijuan Liu, ENHANCING PERSONAL RECOMMENDATION SYSTEM USING FAMILIARITY FACTOR ON SOCIAL NETWORK, International Journal of InnovativeComputing, Information and Control IVolume 13, Number 6, 2017, pp. 2025-2038.(ESCI, EI, Scopus, ISSN 1349-4198.)
  • Xiao-dong Wang, Rung-Ching Chen*, Chao-qun Hong, Zhi-qiang Zeng, Zhi-li Zhou, Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embedding, Image and Vision Computing, Volume 63, 2017, Pages 10-23, (SCI, IF:2.671, Scopus Q1, ISSN 0262-8856,)http://dx.doi.org/10.1016/j.imavis.2017.05.004.
  • Xiao-dong Wang, Rung-Ching Chen*, Fei Yan, Zhi-qiang Zeng, Chao-qun Hong, Semi-supervised adaptive feature analysis and its application for multimedia understanding", Multimedia Tools and Applications, 2017,(SCI, IF:1.53,Scopus Q1, ISSN 1573-7721,) https://doi.org/10.1007/s11042-017-4990-5
  • Rung Ching Chen, CY Huang, YH Ting,A Chronic Disease Diet Recommendation System Based on Domain Ontology and Decision Tree, vol.21, no. 3, 2017, pp.474-482(EI, ISSN 1343-0130.
  • Qiangfu Zhao, Chia-Ming Tsai, Rung-Ching Chen*, Chung-Yi Huang, Resident activity recognition based on binary infrared sensors and soft computing, International Journal of Machine Learning and Cybernetics, https://link.springer.com/article/10.1007/s13042-017-0714-4 (accepted SCI; Scopus Q1, First Online: 18 August 2017, IF: 1.699), ISSN: 1868-8071
  • Lijuan Liu,Rung Ching Chen*, A novel passenger flow prediction model using deep learning methods, Transportation Research Part C, (accepted SCI; Scopus Q1 First Online: 18 August 2017, IF:3.85), ISSN 0968-090X
  • Rung-Ching Chen*, Chung-Yi Huang, Cho-Tsan Bau and Long-Sheng Chen, A Decision Support System for Diabetes Medicine Selection Using Patient Centered Treatment Based on Fuzzy Logic and Domain Ontology, International Journal of Innovative Computing, Information and Control, Volume 13, No. 5, 2017,pp. 1681-1692,(ESCI, EI, Scopus, ISSN 1349-4198.)
  • Bin Dai, Rung-Ching Chen*, A Practical Approach for Estimating Human Daily Water Intake, Int. J. of Embedded Systems,2017 (Accepted)(EI/Scopus,ISSN 1741-1068)
  • Shao-Kuo Tai, Chong-Yan Liao and Rung-Ching Chen*, Exploration of Multi-Brainwave System Mainframe Design, ICIC Express Letters, Part B: ApplicationsAn International Journal of Research and Survey, 2017, Vol. 8, No. 9, pp. 1307-1314(Scopus, ISSN 2185-2766.)
  • Xiao-dong Wang, Rung-Ching Chen*, Fei Yan, Zhi-qiang Zeng, Semi-supervised feature selection with exploiting shared information among multiple tasks, Journal of Visual Communication and Image Representation, Volume 41, 2016, Pages 272-280, (SCI; IF:2.164;Scopus Q1; ISSN 1047-3203,)http://dx.doi.org/10.1016/j.jvcir. 2016.10.007.
  • Lijuan Liu, Rung Ching Chen* and Shunzhi Zhu, Passenger Origin-Destination Travel Time Estimation Model for BRT, ICIC Express Letters, Part B: Applications, vol. 7. No. 9, pp. 2067-2072, 2016.(EI)
  • Xiao-dong Wang, Rung-Ching Chen*, Fei Yan, Zhi-qiang Zenga Semi-supervised Feature Selection with Exploiting Shared Information Among Multiple Tasks Semi-supervised feature selection with exploiting shared information among multiple tasks, Journal of Visual Communication and Image Representation, Volume 41, November 2016, Pages 272–280 (SCI)
  • Lijuan Liu, Rung Ching Chen* and Shunzhi Zhu, Passenger Origin-Destination Travel Time Estimation Model for BRT, ICIC Express Letters, Part B: Applications, vol. 7. No. 9, pp. 2067-2072, 2016.(EI)
  • Ren-Hao Pan, Rung-Ching Chen, Elong Lin, Yung-Kuan Chan, Yung-Fu Chen, Using genetic algorithm and maximum clique to design multiplex PCR primers for sequential deletion applications, International Journal of Data Mining and Bioinformatics, Jan. 2016, Vol. 14, Issue 2, pp. 177-195(SCIE)
  • RC Chen, Hendry, CY Huang A Domain Ontology in Social Networks for Identifying User Interest for Personalized Recommendations, - Journal of Universal Computer Science, vol. 22, no. 3 (2016), 319-339. (SCI)
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