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.
Selected Papers:
Journal papers (since 2019)
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)
學術專長與興趣: