Publications

Schwaller, B., Brandt, J.M., Leung, V.J., & Leung, V.J. (2023). Towards Practical Machine Learning Frameworks for Performance Diagnostics in Supercomputers [Conference Paper]. https://www.osti.gov/biblio/2431456

Aksar, B., Sencan, E., Schwaller, B., Aaziz, O.R., Kulis, B., Coskun, A.K., Leung, V.J., Brandt, J.M., & Brandt, J.M. (2022). ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems [Conference Proceeding]. 10.1109/CLUSTER51413.2022.00048

Leung, V.J. (2022). Concise ML Explanations [Presentation]. https://www.osti.gov/biblio/2002248

Aksar, B., Zhang, Y., Ates, E., Aaziz, O.R., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems [Conference Presentation]. 10.2172/1891960

Hart, W.E., Leung, V.J., & Leung, V.J. (2021). Strategies for Matching Process Models to Observational Data [Conference Presentation]. 10.2172/1876708

Aksar, B., Zhang, Y., Ates, E., Aaziz, O.R., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems [Conference Paper]. 10.1007/978-3-030-85665-6_5

Ates, E., Aksar, B., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2021). Counterfactual Explanations for Multivariate Time Series [Conference Proceeding]. 2021 International Conference on Applied Artificial Intelligence, ICAPAI 2021. 10.1109/ICAPAI49758.2021.9462056

Ates, E., Aksar, B., Coskun, A.K., Leung, V.J., & Leung, V.J. (2021). CoMTE: Counterfactual Explanations for Multivariate Time Series [Conference Presentation]. 10.2172/1866905

Aksar, B., Zhang, Y., Ates, E., Schwaller, B., Aaziz, O.R., Leung, V.J., Brandt, J.M., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems [Conference Proceeding]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-78713-4_11

Zhang, Y., Aksar, B., Aaziz, O.R., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Proceeding]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. 10.1109/HPEC49654.2021.9622783

Zhang, Y., Aksar, B., Aaziz, O.R., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Presentation]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.2172/1888952

Ates, E., Aksar, B., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2020). Explainable Machine Learning Frameworks for Managing HPC Systems [Conference Presentation]. https://doi.org/10.2172/1829224

Ates, E., Aksar, B., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2020). Explainable Machine Learning Frameworks for Managing HPC Systems [Conference Paper]. https://www.osti.gov/biblio/1830968

Schwaller, B., Aksar, B., Aaziz, O.R., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). A Machine Learning Approach to Understanding HPC Application Performance Variation [Conference Poster]. https://www.osti.gov/biblio/1642784

Aksar, B., Schwaller, B., Aaziz, O.R., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster [Conference Poster]. https://www.osti.gov/biblio/1642788

Ang, J.A., Barrett, R.F., Benner, R.E., Burke, D., Chan, C., Cook, J., Daley, C.S., Donofrio, D., Hammond, S., Hemmert, K.S., Hoekstra, R.J., Ibrahim, K., Kelly, S.M., le, H., Leung, V.J., Michelogiannakis, G., Resnick, D.R., Rodrigues, A., Shalf, J., … Voskuilen, G.R. (2019). Abstract Machine Models and Proxy Architectures for Exascale Computing. 10.2172/1561498

Vineyard, C.M., Green, S., Foulk, J.W., Younge, A.J., Leung, V.J., & Leung, V.J. (2019). Machine Learning for System Software ? Can Computers Manage Computers? [Presentation]. https://www.osti.gov/biblio/1645723

Ates, E., Tuncer, O., Turk, A., Leung, V.J., Brandt, J.M., Egele, M., Coskun, A.K., & Coskun, A.K. (2019). Taxonomist: Application Detection through Rich Monitoring Data [Presentation]. 10.1007/978-3-319-96983-1_7

Tuncer, O., Ates, E., Zhang, Y., Turk, A., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2019). Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning. IEEE Transactions on Parallel and Distributed Systems, 30(4), pp. 883-896. 10.1109/TPDS.2018.2870403

Link, H.E., Richter, S.N., Leung, V.J., Brost, R., Phillips, C.A., Staid, A., & Staid, A. (2019). Statistical models of dengue fever [Conference Poster]. Communications in Computer and Information Science. 10.1007/978-981-13-6661-1_14

Brost, R., Carrier, E.E., Carroll, M.J., Groth, K.M., Kegelmeyer, W.P., Leung, V.J., Link, H.E., Patterson, A.J., Phillips, C.A., Richter, S., Robinson, D.G., Staid, A., Woodbridge, D.M.K., & Woodbridge, D.M.K. (2018). Adverse Event Prediction Using Graph-Augmented Temporal Analysis (Final Report). 10.2172/1530166

Link, H.E., Richter, S.N., Leung, V.J., Brost, R., Phillips, C.A., Staid, A., & Staid, A. (2018). Statistical Models of Dengue Fever [Conference Poster]. 10.1007/978-981-13-6661-1_14

Zhang, Y., Tuncer, O., Kaplan, F., Olcoz, K., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2018). Level-spread: A new job allocation policy for dragonfly networks [Conference Poster]. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. 10.1109/IPDPS.2018.00121

Zhang, Y., Tuncer, O., Kaplan, F., Olcoz, K., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2018). Level-Spread: A New Job Allocation Policy for Dragonfly Networks [Conference Poster]. 10.1109/IPDPS.2018.00121

Brost, R., Leung, V.J., Link, H.E., Phillips, C.A., Staid, A., & Staid, A. (2018). Event Prediction Using Graph-Augmented Temporal Analysis [Conference Poster]. https://www.osti.gov/biblio/1498238