Journal:

*: corresponding author;
▲: listed in alphabetical order

1.  Ming-Chuan Yang*, Guo-Wei Wong, & Meng Chang Chen.
   Sparse Grid Imputation Using Unpaired Imprecise Auxiliary Data: Theory and Application to PM2.5 Estimation.
   ACM Transactions on Knowledge Discovery from Data. Volume:18, N0.3, 2024. 
   https://dl.acm.org/doi/10.1145/3634751
   2023 Journal Impact Factor: 4.0
   - COMPUTER SCIENCE, INFORMATION SYSTEMS: JIF QUARTILE [Q1],   JIF PERCENTILE [75.3]
   - COMPUTER SCIENCE, SOFTWARE ENGINEERING:  JIF QUARTILE [Q1],   JIF PERCENTILE [84.4]
   
   

2. Hsin-Chih Yang, Ming-Chuan Yang*, Guo-Wei Wong, & Meng Chang Chen.
   Extreme Event Discovery with Self-Attention for PM2.5 Anomaly Prediction.
   IEEE Intelligent Systems. Volume: 38, Issue: 2, March-April 2023.
   https://doi.org/10.1109/MIS.2023.3236561
   2023 Journal Impact Factor: 5.6
   - COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: JIF QUARTILE [Q2],   JIF PERCENTILE [72.8]
   - ENGINEERING, ELECTRICAL & ELECTRONIC:  JIF QUARTILE [Q1],   JIF PERCENTILE [85.1]
   
   

3. George Kibirige, Ming-Chuan Yang*, Chao-Lin Liu, & Meng Chang Chen.
   Using Satellite Data on Remote Transportation of Air Pollutants for PM2.5 Prediction in Northern Taiwan.
   PLOS ONE. Volume: 18, No.3, p.e0282471. 2023.
   https://doi.org/10.1371/journal.pone.0282471
   2023 Journal Impact Factor: 2.9
   - MULTIDISCIPLINARY SCIENCES: JIF QUARTILE [Q1],   JIF PERCENTILE [77.9]
   
   

4. Ming-Chuan Yang*, & Meng Chang Chen.
   Composite Neural Network: Theory and Application to PM2.5 Prediction.
   IEEE Transactions on Knowledge and Data Engineering. Volume:35, Issue:2, pp.1311--1323, 2023.
   https://doi.org/10.1109/TKDE.2021.3099135
   2023 Journal Impact Factor: 8.9
   - COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: JIF QUARTILE [Q1],   JIF PERCENTILE [91.6]
   - COMPUTER SCIENCE, INFORMATION SYSTEMS:  JIF QUARTILE [Q1],   JIF PERCENTILE [98.2]
   
   

5. Shi-Chun Tsai, & Ming-Chuan Yang▲.
   Representing Symmetric Boolean Functions with Polynomial over Composite Moduli.
   Journal of Information Science and Engineering. Volume:34, Issue:1, pp.193--203, 2018.
   DOI: 10.6688/JISE.2018.34.1.12
   2023 Journal Impact Factor: 0.5
   - COMPUTER SCIENCE, INFORMATION SYSTEMS:  JIF QUARTILE [Q4],   JIF PERCENTILE [8.2]
   
   

6. Min-Zheng Shieh, Shi-Chun Tsai, & Ming-Chuan Yang▲.
   On the Inapproximability of Maximum Intersection Problems..
   Information Processing Letters. Volume:112, Issue:19, pp.723--727, 2012.
   https://doi.org/10.1016/j.ipl.2012.06.014
   2023 Journal Impact Factor: 0.7
   - COMPUTER SCIENCE, INFORMATION SYSTEMS:  JIF QUARTILE [Q4],   JIF PERCENTILE [15.1]

Conference:

7. Ming-Chuan Yang*, & Meng Chang Chen.
   PM2.5 Forecasting Using Pre-trained Components.
   2018 IEEE International Conference on Big Data (IEEE Bigdata).  Seattle, WA, USA. December 10-13, 2018.
   https://doi.org/10.1109/BigData.2018.8622559
   Google Scholar >Top publications > Categories > Engineer & Computer Science > Data Mining & Analysis
   6th of TOP 20 with h5-index=54 and h5-median=79

8. Chih-Chieh Chen, Yi-Ren Chen, Shi-Chun Tsai, & Ming-Chuan Yang*▲.
   Forwarding Path Discovery with Software Defined Networking.
   The 19th Asia-Pacific Network Operations and Management Symposium (APNOMS). Seoul, Korea. September 18-20, 2017.
   https://doi.org/10.1109/APNOMS.2017.8094133
   
   

9. Chih-Chieh Chen, Yi-Ren Chen, Wei-Chih Lu, Shi-Chun Tsai, & Ming-Chuan Yang*▲.
   Detecting Amplification Attacks with Software Defined Networking.
   IEEE Conference on Dependable and Secure Computing. Taipei, Taiwan. August 07-10,  2017.
   https://doi.org/10.1109/DESEC.2017.8073807

10. Chia-Jung Lee, Satya V. Lokam, Shi-Chun Tsai*, & Ming-Chuan Yang▲.
    Restrictions of Nondegenerate Boolean Functions and Degree Lower Bounds over Different Rings.
    2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong. 14-19 June 2015.
    https://doi.org/10.1109/ISIT.2015.7282505

11. Chia-Jung Lee*, Shi-Chun Tsai, & Ming-Chuan Yang▲.
    Online Prediction Problems with Variation.
    The 20th International Computing and Combinatorics Conference (COCOON 2014). Atlanta, Georgia, USA. August 4-6, 2014.
    https://doi.org/10.1007/978-3-319-08783-2_5

Domestic Conference: 

12. Chih-Chieh Chen, Shi-Chun Tsai, & Ming-Chuan Yang*▲.
    A note on Witsenhausen's lemma.
    The 34th Workshop on combinatorial mathematics and computation theory. Feng Chia University, Taichung, Taiwan.  May 19-20, 2017.
    
    

Technical Report; Pre-print:

13. Ming-Chuan Yang, & Meng Chang Chen.
    Theoretical Investigation of Composite Neural Network.
    arXiv:1910.09351, 2019.
    https://doi.org/10.48550/arXiv.1910.09351

14. Chun Ting Liu, Ming-Chuan Yang & Meng Chang Chen.
    Wrapped Loss Function for Regularizing Nonconforming Residual Distributions.
    arXiv:1808.06733, 2018.
    https://doi.org/10.48550/arXiv.1808.06733

In Submission:

15. Guo-Wei Wong, Ming-Chuan Yang*, Shou-De Lin, & Meng Chang Chen.
    Data-driven Staircase-like Activation Functions for Ordinal Classification.