| Graphsaint: Graph sampling based inductive learning method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna arXiv preprint arXiv:1907.04931, 2019 | 656 | 2019 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 151 | 2022 |
| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ... Morbidity and Mortality Weekly Report 70 (19), 719, 2021 | 119 | 2021 |
| Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021 | 88* | 2021 |
| Accurate, efficient and scalable graph embedding H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 64 | 2019 |
| A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 5173, 2021 | 55* | 2021 |
| Behind-the-meter solar generation disaggregation using consumer mixture models CM Cheung, W Zhong, C Xiong, A Srivastava, R Kannan, VK Prasanna 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 48 | 2018 |
| A hybrid design for high performance large-scale sorting on FPGA A Srivastava, R Chen, VK Prasanna, C Chelmis 2015 International Conference on ReConFigurable Computing and FPGAs …, 2015 | 37 | 2015 |
| Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model A Srivastava, T Xu, VK Prasanna arXiv preprint arXiv:2007.05180, 2020 | 35 | 2020 |
| Accelerating large scale real-time GNN inference using channel pruning H Zhou, A Srivastava, H Zeng, R Kannan, V Prasanna arXiv preprint arXiv:2105.04528, 2021 | 25 | 2021 |
| Social influence computation and maximization in signed networks with competing cascades A Srivastava, C Chelmis, VK Prasanna Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 23 | 2015 |
| Predicting memory accesses: the road to compact ml-driven prefetcher A Srivastava, A Lazaris, B Brooks, R Kannan, VK Prasanna Proceedings of the International Symposium on Memory Systems, 461-470, 2019 | 21 | 2019 |
| Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022 | 20 | 2022 |
| Influence in social networks: A unified model? A Srivastava, C Chelmis, VK Prasanna 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 20 | 2014 |
| Computational models of technology adoption at the workplace C Chelmis, A Srivastava, VK Prasanna Social Network Analysis and Mining 4, 1-18, 2014 | 19 | 2014 |
| Reuse kernels or activations? a flexible dataflow for low-latency spectral cnn acceleration Y Niu, R Kannan, A Srivastava, V Prasanna Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 15 | 2020 |
| Raop: Recurrent neural network augmented offset prefetcher P Zhang, A Srivastava, B Brooks, R Kannan, VK Prasanna The International Symposium on Memory Systems, 352-362, 2020 | 13 | 2020 |
| Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic A Srivastava, VK Prasanna arXiv preprint arXiv:2004.11372, 2020 | 13 | 2020 |
| Oscar: Optimizing scratchpad reuse for graph processing SG Singapura, A Srivastava, R Kannan, VK Prasanna 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 13 | 2017 |
| The unified model of social influence and its application in influence maximization A Srivastava, C Chelmis, VK Prasanna Social Network Analysis and Mining 5, 1-15, 2015 | 13 | 2015 |
Charalampos ChelmisAssistant Professor, University at Albany - State University of New YorkPotvrđena adresa e-pošte na albany.edu
