Ning Yu

Dr. Ning Yu works as an Assistant Professor in Department of Informatics at University of South Carolina Upstate. He earned his doctorate degree in computer science from Georgia State University in 2016 and his Master of Science in computer science from Southern Illinois University Carbondale in 2009. He earned both his Master of Science in signal and information processing and his Bachelor of Science in computer science from Communication University of China in Beijing. Dr. Yu has ten years of professional experience in system development, information and network technology. His research areas include data mining, deep learning, big data and data analytics, bioinformatics, cloud computing and information processing.

About Ning Yu, PhD

works hard in teaching ...

works smart in research ...

works nice in service ...


Innovation is the key of research. Dr. Yu uses the state-of-the-art techniques to resolve the problems in interdisciplinary areas.

— Ecclesiastes 1:7

All the rivers run into the sea, Yet the sea is not full; To the place from which the rivers come, There they return again.

Book Chapter
1. X. Guo, N. Yu, B. Li, and Y. Pan. "Chapter 1: Cloud Computing for NGS Data Analysis." In Computational Methods for Next Generation Sequencing Data Analysis (Wiley Series in Bioinformatics), 2016
Peer-Reviewed Journal Publications
1. N. Yu, X. Guo, F. Gu, and Y. Pan, "Signalign: An Ontology of DNA As Signal for Comparative Gene Structure Prediction Using Information-Coding-and-Processing Techniques", IEEE Transaction on Nanobioscience, Vol. 15, No. 2, Mar. 2016
2. N. Yu, Z. Yu, B. Li, F. Gu, and Y. Pan, "A Comprehensive Review of Emerging Computational Methods for Gene Identification", Journal of Information Processing Systems, Vol. 12, No. 1, pp.1-34, Mar. 2016
3. N. Yu, X. Guo, A. Zelikovsky, Y, Pan, "GaussianCpG: A Gaussian Model for Detection of CpG Island in Human Genome Sequences", BMC Bioinformatics, 2015, under 2nd round review
4. B. Li, J. Zhang, N. Yu, Y. Pan, "J2M: A Java to Mapreduce Translator for Cloud Computing", Journal of Supercomputing, Mar. 2016, pp.1-18, Mar. 2016
5. X. Guo, N. Yu, X. Ding, J. Wang, Y. Pan, "DIME: A Novel Framework for De Novo Metagenomic Sequence Assembly", Journal of Computational Biology, vol.22, Issue.2, pp. 159-177, Feb. 2015
6. X. Guo, N. Yu, F. Gu, X. Ding, J. Wang, Y. Pan, "Genome-Wide Interaction-Based Association of human diseases-A survey", Tsinghua Science and Technology, vol.19, no.6, pp. 596-616, Dec. 2014
7. X. Guo, Y. Meng, N. Yu, and Y. Pan. "Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering." BMC Bioinformatics 15, no.1 (2014):102
8. R. A. Tesorero, N. Yu, K.H. Cho, Q. Cheng, "New Small RNAs in Streptococcus Pyogenes", PLOS One, Vol.8, Issue 6, June 2013
Refereed Conference Publications
1. N. Yu, Z. Yu, and Y. Pan, "A Deep Learning Method for lincRNA Identification using Auto-encoder Algorithm", 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2016, Atlanta, GA, Oct, 2016
2. N. Yu, B. Li, and Y. Pan, "A Cloud-Assisted Application over Apache Spark for Investigating Epigenetic Markers on DNA Genome Sequences", 6th IEEE International Conference in Big Data and Cloud Computing, Atlanta, GA, Oct, 2016
3. Z. Yu, X. Tian, N. Yu, and Y. Pan, "Double Denoising Auto-encoders for Invariant and Robust Feature Extraction", submitted to International Conference of Machine Learning, Jan, 2016
4. N. Yu, X. Guo, A. Zelikovsky, Y, Pan, "GaussianCpG: A Gaussian Model for Human CpG Island Detection Using Gaussian Energy Metrics", 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2015, Miami, FL, Oct, 2015
5. N. Yu, X. Guo, F. Gu, Y. Pan, "DNA AS X: An Information-Coding-Based Model to Improve the Sensitivity in Comparative Gene Analysis", in Bioinformatics Research and Applications, ser. Lecture Notes in Computer Science, R. Harrison, Y. Li, and I. Mndoiu, Eds. Springer International Publishing, 2015, vol. 9096, pp. 366-377
6. N. Yu, F. Gu, X. Guo, Z. He, "A Fine-Grained Flow Control Model for Cloud-Assisted Data Broadcasting", 2015 Spring Simulation Multi-conference (SpringSim'15), 324-331, 2015, Alexandria, VA, USA, April, 2015
7. N. Yu, K.H. Cho, Q. Cheng, R. A. Tesorero, "A Hybrid Computational Approach for the Prediction of Small Non-coding RNAs from Genome Sequences", International Conference on CSE, vol. 2, pp.1071-1076, 2009
Refereed Posters
1. N. Yu, X. Guo, F. Gu. "A proportional algorithm for parallel scheduling based on PID controller and fine-grained energy metric." In 2014 International IBM Cloud Academy Conference on, pp. 11-14. IBM, 2014

Grant and Reward
1. William M. Suttles Award, $1,500, University Research Services & Administration, Georgia State University, 2016 (The highest award for PhD student in GSU)
2. Outstanding Graduate Student Award, Department of Computer Science in Georgia State University, 2016
3. PhD Dissertation Grant, Georgia State University, $2,000, 2016 (20 awarded/year in GSU)
4. Co-PI, USDA National Institute of Food and Agriculture, $280,000, Project No. SCX-312-04-13, "Environmental Remediation Investigation Using Sensor Technology and Contaminant Transport Modeling", 2013-2015
5. NSF Student Travel Grant on The 11th International Symposium of Bioinformatics and Research Applications (ISBRA), 2015
6. NSF Student Travel Grant on 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2015
7. MBD Fellowship, Georgia State University, 2014-2015, 2015-2016

- Job 28:25

To establish a weight for the wind, And apportion the waters by measure.


Currently Dr. Ning Yu teaches Big Data, Data Mining and Cloud related courses in University of South Carolina Upstate. In past years Dr. Yu had taught computer science and electrical engineering courses as a full-responsibility instructor at South Carolina State University (SCSU) and Georgia State University (GSU).


Dr. Ning Yu's Contact Info

  Address: 800 University Way, Spartanburg, SC 29303