| 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 | 692 | 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 | 291 | 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 | 247 | 2017 |
| 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 | 146 | 2014 |
| 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 | 143 | 2013 |
| Graphbuilder: scalable graph etl framework N Jain, G Liao, TL Willke First international workshop on graph data management experiences and …, 2013 | 122 | 2013 |
| Graphlet decomposition: Framework, algorithms, and applications NK Ahmed, J Neville, RA Rossi, NG Duffield, TL Willke Knowledge and Information Systems 50, 689-722, 2017 | 121 | 2017 |
| 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 | 108 | 2016 |
| Gunther: Search-based auto-tuning of mapreduce G Liao, K Datta, TL Willke Euro-Par 2013 Parallel Processing: 19th International Conference, Aachen …, 2013 | 108 | 2013 |
| On sampling from massive graph streams NK Ahmed, N Duffield, T Willke, RA Rossi arXiv preprint arXiv:1703.02625, 2017 | 106 | 2017 |
| Deep graph similarity learning: A survey G Ma, NK Ahmed, TL Willke, PS Yu Data Mining and Knowledge Discovery 35, 688-725, 2021 | 102 | 2021 |
| 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 | 100 | 2018 |
| 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 | 95 | 2016 |
| Graphin: An online high performance incremental graph processing framework D Sengupta, N Sundaram, X Zhu, TL Willke, J Young, M Wolf, K Schwan Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016 | 95 | 2016 |
| LIGA micromachined planar transmission lines and filters TL Willke, SS Gearhart IEEE transactions on microwave theory and techniques 45 (10), 1681-1688, 1997 | 89 | 1997 |
| 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 | 80 | 2020 |
| 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 | 79 | 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 | 74 | 2016 |
| 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 Özcimder, MMA Patwary, TL Willke, JD Cohen CogSci, 2016 | 69 | 2016 |
| Energy efficient scheduling of mapreduce workloads on heterogeneous clusters N Yigitbasi, K Datta, N Jain, T Willke Green Computing Middleware on Proceedings of the 2nd International Workshop, 1, 2011 | 65 | 2011 |
Nesreen K. AhmedPrincipal Scientist, Cisco AI Research, Intel Labs, Purdue UniversityVerified email at cisco.com
