• Artificial Intelligence & Applications

• Machine and Deep Learning 

• Big Data Mining and Analytics

• Network & Security

• Cloud Computing

• Bioinformatics

Peer-Reviewed Journal Publications

1. R. Yan, Y. Zheng, N. Yu, C. Liang. Multi-Smart Meter Data Encryption Scheme Based on Distributed Differential Privacy. Big Data Mining and Analytics, 2023, 7(1), 131-141.

2. R. Yan, Y. Liu, N. Yu. A New Migration and Reproduction Intelligence Algorithm: Case Study in Cloud-Based Microgrid. Information 2023, 14, 562.

3. W. Peng, T. Chen, H. Liu, W. Dai, N. Yu, W. Lan. Improving drug response prediction based on two-space graph convolution. Computers in Biology and Medicine, Volume 158, May 2023, 106859. 2023

4. W. Peng, R. Wu, W. Dai, N. Yu, X. Fu, L. Liu, L. Liu. MiRNA-gene network embedding for predicting cancer driver genes. Briefings in Functional Genomics. 2023

5. W. Peng, R. Wu, W. Dai, N. Yu. Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. BMC Bioinformatics, 24(16). 2023

6. W. Peng, H. Liu, W. Dai, N. Yu, J. Wang. Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinformatics, 38(19), 4546-4553. 2022

7. R. Yan, Y. Lin, N. Yu, Y. Wu. A Low-carbon Economic Dispatch Model for Electricity Market with Wind Power Based on Improved ALO Algorithm. CAAI Transactions on Intelligence Technology, 8(1), 29-39. 2022

8.     N. Yu and T. Haskins. "Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York." In Informatics, vol. 8, no. 3, p. 47. July 2021.

9.     X. Lei, T. B. Mudiyanselage, Y. Zhang, C. Bian, W. Lan, N. Yu, Y. Pan, “A comprehensive survey on computational methods of non-coding RNA and disease association prediction”, Briefings in Bioinformatics, 2020;, bbaa350, https://doi.org/10.1093/bib/bbaa350

10.  W. Zhong, N. Yu and C. Ai, "Applying Big Data Based Deep Learning System to Intrusion Detection," in Big Data Mining and Analytics, vol. 3, no. 3, pp. 181-195, Sept. 2020, doi: 10.26599/BDMA.2020.9020003.

11.  N. Yu, and K. Darling, “A Low-Cost Approach to Crack Python CAPTCHAs Using AI-Based Chosen-Plaintext Attack”. Applied Sciences, 9(10), 2010, May 2019.

12.  Z. Yu, T. Li, N. Yu, Y. Pan, H. Chen and B. Liu, “Reconstruction of Hidden Representation for Robust Feature Extraction”, ACM Transactions on Intelligent Systems and Technology, vol. 10, No. 2 (18), Dec 2018

13.  N. Yu, Z. Li, and Z. Yu, “Survey on Encoding Schemes for Genomic Data Representation and Feature Learning -- From Signal Processing to Machine Learning”, Big Data Mining and Analytics, Vol. 1 (3), pp 191-210, Sep 2018

14.  Z. Yu, T. Li, G. Luo, H. Fujita, N. Yu and Y. Pan, “Convolutional networks with cross-layer neurons for image recognition”, Information Sciences, Vol. 433-434, p. 241-254, 2018

15.  N. Yu, Z. Yu and Y. Pan, “A deep learning method for lincRNA detection using auto-encoder algorithm”, BMC Bioinformatics, Dec 2017, Vol. 18(S15):511

16.  Zh. Li, Zi. Li, N. Yu and S. Wen, “Locality-based visual outlier detection algorithm for time series”, Security and Communication Networks, vol. 2017, Article ID 1869787, 10 pages, 2017. doi:10.1155/2017/1869787

17.  N. Yu, X. Guo, A. Zelikovsky and Y, Pan, “GaussianCpG: A Gaussian Model for Detection of CpG Island in Human Genome Sequences”, BMC Genomics, 2017, 18(S 4):392

18.  N. Yu, Z. Yu, F. Gu, T. Li, X. Tian and Y. Pan. “Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches”, Journal of Information Processing Systems, Vol.13, No.2, pp.204~214, April 2017

19.  Z. Li, C. Yan, X. Yu and N. Yu. “Bayesian network-based Virtual Machines consolidation method”, Future Generation Computer Systems, 2017, 69, 75 - 87

20.  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

21.  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

22.   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

23.  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

24.  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

25.  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

26.  R.A. Tesorero, N. Yu, K.H. Cho, Q. Cheng “Novel Regulatory Small RNAs in Streptococcus Pyogenes”, PLOS One, Vol.8, Issue 6, June 2013

Refereed Conference Publications

27.  W. Peng, Z. Zhang, W. Dai, X. Fu, L. Liu, L. Liu, and N. Yu. “A multi-view comparative learning method for spatial transcriptomics data clustering”, IEEE International Conference on Bioinformatics and Biomedicine 2023 (BIBM 2023), Istanbul, Turkey, Dec 2023. Accepted

28.  W. Zhang, R. Yan, N. Yu, Y. Liu, and Y. Zhang. "Short-term Wind Power Predication Based on Feature Engineering and SOA-SVM." In 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), pp. 1642-1648. IEEE, Oct 2021.

29.  X. Zhang, J. Xiao, Y. Gong, N. Yu, W. Zhang, S. Jang, and F. Gu, “Handling the missing data problem in electronic health records for cancer prediction”. In Proceedings of the 2020 Spring Simulation Conference (SpringSim ’20). Society for Computer Simulation International, San Diego, CA, USA, Article 57, 1–9.

30.  N. Yu, Z. Tuttle, C. Thurnau, and E. Mireku, “AI-powered GUI Attack and Its Defensive Methods”. In the proceedings of 2020 Association for Computing Machinery Southeast Conference, pp. 79-86, Apr 2020 (online).

31.  N. Coble and N. Yu, “A Reservoir Computing Scheme for Multi-Class Classification”. In the proceedings of 2020 Association for Computing Machinery Southeast Conference, pp. 87-93, Apr 2020 (online).

32.  Z. Yu, T. Li, N. Yu, X. Gong, K. Chen, and Y. Pan (2019). Three-Stream Convolutional Networks for Video-based Person Re-Identification. 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 598-606. Dalian, China Nov 2019

33.  N. Yu, M. Zheng, X. Andrade, and R. Patane, “Visual Analysis for Exploring the Relation between Air Pollution, Environmental Factors and Respiratory Diseases”, MobiMedia 2018 conference, European Alliance for Innovation, Qing Dao, China, Jun 2018

34.  N. Yu, Z. Yu, F. Gu and Y. Pan, “Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation”, in Bioinformatics Research and Applications, ser. Lecture Notes in Computer Science, Springer International Publishing, 2017

35.  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

36.  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

37.  Z. Yu, N. Yu, Y. Pan and T. Li, “A Novel Deep Learning Network Architecture with Cross-Layer Neurons”, 6th IEEE International Conference in Big Data and Cloud Computing, Atlanta, GA, Oct, 2016

38.  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

39.  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

40.  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

41.  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

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

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

Non-Peer Reviewed Publications

1. Yu, N., Haskins, T. (2021). KNN, An Underestimated Model for Regional Rainfall Forecasting. CoRR, abs/2103.15235. https://arxiv.org/abs/2103.15235

2. Zheng, M., Yu, N., Fulbright, R. (2018). South Carolina Population Health Analysis Using IBM Watson Analytics. Annual USC Upstate Student Research Journal, 2018, Vol.10