Brief biography

Rung-Ching Chen received a B.S. and M. S. degree from the Institute of Computer Engineering, both from the National Taiwan University of Science and Technology, Taipei, Taiwan. In 1998, he received a Ph.D. degree in applied mathematics in computer science sessions, National Chung Tsing University, Taiwan. He was a Department Chair of Information Management in CYUT between 2005 and 2007. He was a Dean of Informatics College of CYUT from 2007 to 2015. He was the Execution Director of the Institution's Research Office from Dec. 2015 to Jan. 2017 in CYUT. He has been a Fellow of IET since 2011. He was a visiting Professor at the University of Central Florida, the U.S.A. in 2012, and a visiting researcher at the University of Aizu, Japan, in 2017. He has published more than 300 papers in computer sciences. He is the World’s Top 2% Scientists in Computer Sciences from Scopus. He got a Best Journal Paper Award in 2022 from Image and Vision Computing(SCI, Scopus). Currently, he is a distinguished professor at the Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan. His research interests include image processing, domain ontology, pattern recognition, and knowledge engineering, IoT and data analysis, the applications of Artificial Intelligent.

Projects (Recent Projects from NTSC)

•   Constructing a Road Environments and Traffic Signs Damage Automatic Detection and Notification System(MOST, 2023-2026)

•   Road Marking Signs Identification under Various Environments using Transfer Learning with Deep Convolutional Neural Networks(MOST, 2023-2025)

•   Using deep learning and explainable artificial intelligence in driving state monitoring and road surface information detection and analysis(MOST, Taiwan, 2022-2023)

•   Combining VR deepfake technologies to construct an interactive situation development system for brain wave control(MOST, 2022-2023)

•   Using feature extraction combined with Yolo model to build a small traffic sign recognition system(MOST, Taiwan, 2021-2022)

•   Build a feedback system for music and brain waves(MOST, Taiwan, 2020-2022)

•   Visual scene recognition of traffic signs based on deeply interpretable AI (1/2) (MOST, Taiwan, 2022-2022)

•   The Applications of Smart Home and healthcare Based on the Integration of IoT and Big Data Analysis(MOST, Taiwan 2017-2018)

•   Constructing a Recommendation System in Big Data Environment Utilizing Multimodal Learning Architecture and Social Ontology(MOST, Taiwan, 2016-2018)

•   Fast Subspace Clustering With Feature Analysis For Large-Scale Multi-View Data Activity(MOST, Taiwan, 2018-2020) (4)

•   The Institution Research of CYUT’s Students Learning Quality Evaluation (EDU, Taiwan, 2019-2020)

•   The cooperated with the industry “Smart Home System Implementation Based on IoT Technologies” from Enterprise, 2018

Journal Paper

Most of the publications can be found at:

https://dblp.uni-trier.de/search?q=Rung-Ching%20Chen

or

https://scholar.google.com/citations?hl=de&user=cI6LL6AAAAAJ

Selected Papers:

Journal papers

 

1.         X Cai, G Wang, J Lou, M Jian, J Dong, RC Chen, B Stevens, H Yu,  Perceptual loss guided Generative adversarial network for saliency detection,Information Sciences, 1196252023

2.         RC Chen, C Dewi, YC Zhuang, JK Chen, Contrast Limited Adaptive Histogram Equalization for Recognizing Road Marking at Night Based on Yolo Models, IEEE Access 2023.

3.         C DEWI, RC CHEN, HUI YU, X JIANG, XAI for Image Captioning using SHAP. Journal of Information Science & Engineering 39 (4)   2      2023

4.         VS Saravanarajan, RC Chen, C Dewi, LS Chen, L Ganesan,  Car crash detection using ensemble deep learning Multimedia Tools and Applications, 1-19      4        2023

5.         C Dewi, RC Chen, YC Zhuang, X Jiang, H Yu, Recognizing road surface traffic signs based on YOLO models considering image flips, Big data and cognitive computing 7 (1), 54 3      2023

6.         VS Saravanarajan, RC Chen, CH Hsieh, LS Chen, Improving Semantic Segmentation Under Hazy Weather for Autonomous Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach IEEE Access 11, 38194-38207, 2023

7.         L Liu, M Wu, RC Chen, S Zhu, Y Wang A Hybrid Deep Learning Model for Multi-Station Classification and Passenger Flow Prediction, Applied Sciences 13 (5), 2899        1      2023

8.         Toharudin, RS Pontoh, RE Caraka, S Zahroh, Y Lee, RC Chen, Employing long short-term memory and Facebook prophet model in air temperature forecasting, Communications in Statistics-Simulation and Computation 52 (2), 279-290

9.         RE Caraka, RC Chen, SW Huang, SY Chiou, PU Gio, B Pardamean, Big data ordination to-wards intensive care event count cases using fast computing GLLVMS, BMC medical research methodology 22 (1), 1-17, 2022

10.     KC Chiu, CS Lai, HHUI Chu, DT Thi, RC Chen, Exploring the Effect of Social Networking Service on Homestay Intention in Vietnam by GM (1, N) and Multiple Regression Analysis, Journal of Information Science & Engineering, 2022, 38 (3)

11.     Dewi, C., Chen, R.-C.: Combination of Resnet and Spatial Pyramid Pooling for Musical Instru-ment Identification. Cybern. Inf. Technol. 22, 104 (2022). (Q2 SCIE)

12.     RC Chen, VS Saravanarajan, LS Chen, H Yu, Road Segmentation and Environment Labeling for Autonomous Vehicles, Applied Sciences, 2022, 12 (14), 7191.

13.     Dewi, C., Chen, R.-C., & Liu, Y. T. (2022). Synthetic Traffic Sign Image Generation Applying Generative Adversarial Networks. Vietnam Journal of Computer Science. https://doi.org/https://doi.org/10.1142/S2196888822500191

14.     C. Dewi, R.-C. Chen, X. Jiang, and H. Yu, “Adjusting eye aspect ratio for strong eye blinkdetec-tion based on facial landmarks,” PeerJ Comput. Sci., vol. 8, no. e943, 2022, [Online]. Available: https://doi.org/10.7717/peerj-cs.943. (Scopus Q1, SCIE).

15.     F Anggoro, RE Caraka, FA Prasetyo, M Ramadhani, PU Gio, RC Chen, ,Revisiting Cluster Vul-nerabilities towards Information and Communication Technologies in the Eastern Island of Indo-nesia Using Fuzzy C Means, Sustainability 14 (6), 3428

16.     C. Dewi, R.-C. Chen, X. Jiang, and H. Yu, “Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4,” Multimed. Tools Appl., 2022, doi: https://doi.org/10.1007/s11042-022-12962-5.(Scopus Q1, SCIE)

17.     Dewi C, Christanto J, Henoch. Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection. Big Data Cogn Comput. 2022;6(3):85. (Scopus Q1, SCIE)

18.     C. Dewi and R.-C. Chen, “Deep Learning for Advanced Similar Musical Instrument Detection and Recognition,” IAENG Int. J. Comput. Sci., vol. 49, no. 3, p. 27, 2022.

19.     Dewi, R. Chen, Y. Liu, and H. Yu, “Various Generative Adversarial Networks Model for Synthet-ic Prohibitory Sign Image Generation,” Applied Sciences, vol. 11, p. 2913, 2021. (Q1 SCIE)

20.     C. Dewi, R.-C. Chen, Y.-T. Liu, and S.-K. Tai, “Synthetic Data generation using DCGAN for improved traffic sign recognition,” Neural Computing and Applications, 2021. (Q1 SCIE)

21.     T Toharudin, RS Pontoh, RE Caraka, S Zahroh, A Akbar, B Pardamean, Indonesia in Facing New Normal: An Evidence Hybrid Forecasting of COVID-19 Cases Using MLP, NNAR and ELM. Engineering Letters, 29 (2), 6,2021

22.     RE Caraka, Y Yusra, T Toharudin, RC Chen, M Basyuni, V Juned, PU Gio, Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan, Sustainability 13 (11), 5946, 2021

23.     Dewi, C., Chen, R.-C., Liu, Y.-T., Jiang, X., & Hartomo, K. D. (2021). Yolo V4 for advanced Traffic Sign Recognition with synthetic training data generated by various GAN. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3094201. (Q1 SCIE)

24.     RE Caraka, M Noh, RC Chen, Y Lee, PU Gio, B Pardamean, Connecting climate and communi-cable disease to penta helix using hierarchical likelihood structural equation modelling, Symmetry,  2021, 13 (4), 657.

25.     C. Dewi, R.-C. Chen, H. Yu, and X. Jiang, “Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling,” Journal of Ambient Intelligence and Human-ized Computing, Nov. 2021. (Q1 SCIE)

26.     C. Dewi, R.-C. Chen, Hendry, and H.-T. Hung, “Experiment Improvement of Restricted Boltz-mann Machine Methods for Image Classification,” Vietnam Journal of Computer Science, vol. 08, no. 03, pp. 417–432, Aug. 2021.

27.     C. Dewi, R.-C. Chen and S.-K. Tai, "Evaluation of Robust Spatial Pyramid Pooling Based on Convolutional Neural Network for Traffic Sign Recognition System," Electronics, vol. 9, no. 6, p. 889, 2020.(SCI)

28.     C. Dewi and R. C. Chen, “Random forest and support vector machine on features selection for regression analysis,” International Journal of Innovative Computing, Information and Control, vol. 15, no. 6, pp. 2027–2037, 2019.(ESCI)

29.     Xiao-dong Wang, Rung-Ching Chen*, Zhi-qiang Zeng, Chao-qun Hong, and Fei Yan, Robust Dimension Reduction for Clustering with Local Adaptive Learning. IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 3, 657 – 669, 2019(SCI)

30.     Hendry, R.C. Chen*, Automatic License Plate Recognition via sliding-window darknet-YOLO deep learning. Image and Vision Computing, Vol. 87, 47-56, 2019.

31.     R. C. Chen, Hendry, User Rating Classification via Deep Belief Network Learning and Sentiment Analysis. IEEE Transactions on Computational Social Systems, Vol.6, No. 3, 535-546. (ESCI)

32.     D Wang, R.C. Chen*, F Yan, ZQ Zeng, CQ Hong (2019, Mar). Fast Adaptive K-Means Sub-space Clustering for High-Dimensional Data. IEEE Access, Vol.7, 42639-42651.(SCI)

33.     Rezzy Eko Caraka, Rung Ching Chen*, Toni Toharudin, Bens Pardamean, Hasbi Yasin, Shih Hung Wu, (2019, Oct.). Prediction of Status Particulate Matter 2.5 using State Markov Chain Sto-chastic Process and HYBRID VAR-NN-PSO, IEEE Access, Vol. 7, 161654 – 161665,  2019(SCI)

34.     Hendry, Rung-Ching Chen* Using Deep Learning to Predict User Rating on Imbalance Classifi-cation Data. IAENG International Journal of Computer Science, Vol. 46, No. 1, 109-117, 2019. (ESCI)

35.     Qiangfu Zhao, Chia-Ming Tsai, Rung-Ching Chen*, Chung-Yi Huang. Resident activity recogni-tion based on binary infrared sensors and soft computing. International Journal of Machine Learn-ing and Cybernetics, DOI:10.1007/s13042-017-0714-4, 2019 (2), 291-299, 2019.(SCI)

36.     Lijuan Liu, Rung-Ching Chen*, Qiangfu Zhao, Shunzhi Zhu, Applying a multistage of input fea-ture combination to random forest for improving MRT passenger flow prediction, Journal of Am-bient Intelligence and Humanized Computing, Vol. 10, No. 11, 4515-4532, 2019.(SCI)

37.     Hendry, Rung-Ching Chen*, Using deep learning to predict user rating on imbalance classifica-tion data, IAENG International Journal of Computer Science, Vol. 46, No. 1, 109-117, 2019.(ESCI)

38.     Xiao-dong Wang, Rung-Ching Chen, Chao-qun Hong, Zhi-qiang Zeng, Unsupervised Feature Analysis with Sparse Adaptive Learning, Pattern Recognition Letters, 2018(SCI, Accepted, IF:1.99)

39.     Xiao-dong Wang, Rung-Ching Chen, Zhi-qiang Zeng, Chao-qun Hong, and Fei Yan, Robust Dimension Reduction for Clustering with Local Adaptive Learning, IEEE Trans. on Neural Networks and Learning Systems, 2018(Accepted)

40.     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 )

41.     Rung-Ching Chen, Hendry and Lijuan Liu, Enhancing Personal Recommendation System Using Familarity Factor on Social Network, International Journal of InnovativeComputing, Information and Control ,Volume 13, Number 6, 2017, pp. 2025-2038.(ESCI, EI, Scopus, ISSN 1349-4198.)

42.     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.

43.     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

44.     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.

45.     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

46.     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

47.     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.)

48.     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)

49.     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.)

50.     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.

51.     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)

52.     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)

53.     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)

54.     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)

55.     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)