Data-driven Science - 2016

Zhao, Y., Liao, C., & Shen, X. (2016). Towards Ontology-Based Program Analysis (Technical Report No. TR-2016-5). North Carolina State University.

Ning, L., & Shen, X. (2016). LCD: A Fast Contrastive Divergence Based Training Algorithm for Restricted Boltzmann Machine” (No. TR-2016-3). Raleigh, NC: North Carolina State University.

Zhao, Y., Chen, G., Liao, C., & Shen, X. (2016). Towards Ontology-Based Program Analysis. In S. Krishnamurthi & B. S. Lerner (Eds.), 30th European Conference on Object-Oriented Programming (ECOOP 2016) (pp. 26:1–26:25). Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.

Chen, G., Shen, X., & Zhou, H. (2016). A Software Framework for Efficient Preemptive Scheduling on GPU (Technical Report No. TR-2016-1). North Carolina State University.

Shen, X., Mueller, F., & Tuck, J. (Eds.). (2016). Languages and Compilers for Parallel Computing. In Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-29778-1

Chen, G., & Shen, X. (2016). Coherence-Free Multiview. Proceedings of the 2016 International Conference on Supercomputing - ICS '16. Presented at the the 2016 International Conference. https://doi.org/10.1145/2925426.2926277

Wilson, A. G., & Fronczyk, K. M. (2016). Bayesian Reliability: Combining Information. Quality Engineering, 0–0. https://doi.org/10.1080/08982112.2016.1211889

Bridges, R. A., Collins, J., Ferragut, E. M., Laska, J., & Sullivan, B. D. (2016). A multi-level anomaly detection algorithm for time-varying graph data with interactive visualization. Social Network Analysis and Mining, 6(1). https://doi.org/10.1007/S13278-016-0409-Y

Graham, H. T., Rotroff, D. M., Marvel, S. W., Buse, J. B., Havener, T. M., Wilson, A. G., … Motsinger-Reif, A. A. (2016). Incorporating concomitant medications into genome-wide analyses for the study of complex disease and drug response. Frontiers in Genetics, 7.

Chin, A. J., Goodrich, T. D., O'Brien, M. P., Reidl, F., Sullivan, B. D., & Poel, A. (2016). Asymptotic analysis of equivalences and core-structures in Kronecker-style graph models. 2016 ieee 16th international conference on data mining (icdm), 829–834. https://doi.org/10.1109/icdm.2016.0098

Chen, G., Zhou, H., Shen, X., Gahm, J., Venkat, N., Booth, S., & Marshall, J. (2016, July). OpenCL-based erasure coding on heterogeneous architectures. 2016 IEEE 27th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), Vol. 7, pp. 33–40. https://doi.org/10.1109/asap.2016.7760770

Lenhardt, W. C., Conway, M., Scott, E., Blanton, B., Krishnamurthy, A., Hadzikadic, M., … Wilson, A. (2016). Cross-institutional research cyberinfrastructure for data intensive science. 2016 ieee high performance extreme computing conference (hpec). https://doi.org/10.1109/hpec.2016.7761597

Adcock, A. B., Sullivan, B. D., & Mahoney, M. W. (2016). Tree decompositions and social graphs. INTERNET MATHEMATICS, 12(5), 315–361. https://doi.org/10.1080/15427951.2016.1182952

Zhou, M., Wu, B., Shen, X., Gao, Y., & Yiu, G. (2016). Examining and Reducing the Influence of Sampling Errors on Feedback-Driven Optimizations. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 13(1). https://doi.org/10.1145/2851502

Fu, W., Menzies, T., & Shen, X. (2016). Tuning for software analytics: Is it really necessary? Information and Software Technology, 76, 135–146. https://doi.org/10.1016/j.infsof.2016.04.017

Fancher, C. M., Han, Z., Levin, I., Page, K., Reich, B. J., Smith, R. C., … Jones, J. L. (2016). Use of Bayesian inference in crystallographic structure refinement via full diffraction profile analysis. Scientific Reports, 6. https://doi.org/10.1038/srep31625