| A survey of inter-vehicle communication protocols and their applications TL Willke, P Tientrakool, NF Maxemchuk IEEE Communications Surveys & Tutorials 11 (2), 3-20, 2009 | 699 | 2009 |
| Out-of-distribution detection using an ensemble of self supervised leave-out classifiers A Vyas, N Jammalamadaka, X Zhu, D Das, B Kaul, TL Willke Proceedings of the European conference on computer vision (ECCV), 550-564, 2018 | 339 | 2018 |
| Computational approaches to fMRI analysis JD Cohen, N Daw, B Engelhardt, U Hasson, K Li, Y Niv, KA Norman, ... Nature neuroscience 20 (3), 304-313, 2017 | 277 | 2017 |
| Towards machine learning-based auto-tuning of mapreduce N Yigitbasi, TL Willke, G Liao, D Epema 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation …, 2013 | 149 | 2013 |
| How well do graph-processing platforms perform? an empirical performance evaluation and analysis Y Guo, M Biczak, AL Varbanescu, A Iosup, C Martella, TL Willke 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 148 | 2014 |
| Graphlet decomposition: Framework, algorithms, and applications NK Ahmed, J Neville, RA Rossi, NG Duffield, TL Willke Knowledge and Information Systems 50 (3), 689-722, 2017 | 136 | 2017 |
| Deep graph similarity learning: A survey G Ma, NK Ahmed, TL Willke, PS Yu arXiv preprint arXiv:1912.11615, 2019 | 132 | 2019 |
| Graphbuilder: scalable graph etl framework N Jain, G Liao, TL Willke First international workshop on graph data management experiences and …, 2013 | 124 | 2013 |
| Techniques for remote client access to a storage medium coupled with a server E Tamir, BZ Friedman, PC Cayton, TL Willke, F Berry US Patent 9,467,512, 2016 | 116 | 2016 |
| Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry arXiv preprint arXiv:1802.02896, 2018 | 114 | 2018 |
| Role-based graph embeddings NK Ahmed, RA Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry IEEE Transactions on Knowledge and Data Engineering 34 (5), 2401-2415, 2020 | 113 | 2020 |
| On sampling from massive graph streams NK Ahmed, N Duffield, T Willke, RA Rossi arXiv preprint arXiv:1703.02625, 2017 | 113 | 2017 |
| Graphin: An online high performance incremental graph processing framework D Sengupta, N Sundaram, X Zhu, TL Willke, J Young, M Wolf, K Schwan European Conference on Parallel Processing, 319-333, 2016 | 109 | 2016 |
| Gunther: Search-based auto-tuning of mapreduce G Liao, K Datta, TL Willke European Conference on Parallel Processing, 406-419, 2013 | 108 | 2013 |
| Method, system, and device for dynamic energy efficient job scheduling in a cloud computing environment NK Jain, TL Willke, K Datta, N Yigitbasi US Patent 9,342,376, 2016 | 99 | 2016 |
| LIGA micromachined planar transmission lines and filters TL Willke, SS Gearhart IEEE transactions on microwave theory and techniques 45 (10), 1681-1688, 1997 | 93 | 1997 |
| Bridging the gap between HPC and big data frameworks M Anderson, S Smith, N Sundaram, M Capotă, Z Zhao, S Dulloor, ... Proceedings of the VLDB Endowment 10 (8), 901-912, 2017 | 78 | 2017 |
| Graphpad: Optimized graph primitives for parallel and distributed platforms MJ Anderson, N Sundaram, N Satish, MMA Patwary, TL Willke, P Dubey 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 78 | 2016 |
| BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis M Kumar, CT Ellis, Q Lu, H Zhang, M Capotă, TL Willke, PJ Ramadge, ... PLoS computational biology 16 (1), e1007549, 2020 | 76 | 2020 |
| Controlled vs. automatic processing: A graph-theoretic approach to the analysis of serial vs. parallel processing in neural network architectures S Musslick, B Dey, K Ozcimder, M Patwary, T Willke, J Cohen Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016 | 74 | 2016 |
Nesreen K. AhmedSenior Principal Scientist, Cisco AI Research, Intel Labs, Purdue UniversityVerified email at cisco.com
