| Discrete Signal Processing on Graphs: Sampling Theory S Chen, R Varma, A Sandryhaila, J Kovacevic Signal Processing, IEEE Transactions on 63 (24), 6510-6523, 2015 | 757* | 2015 |
| Pytorch distributed: Experiences on accelerating data parallel training S Li, Y Zhao, R Varma, O Salpekar, P Noordhuis, T Li, A Paszke, J Smith, ... arXiv preprint arXiv:2006.15704, 2020 | 643 | 2020 |
| Pytorch fsdp: experiences on scaling fully sharded data parallel Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ... arXiv preprint arXiv:2304.11277, 2023 | 204 | 2023 |
| Signal recovery on graphs: Fundamental limits of sampling strategies S Chen, R Varma, A Singh, J Kovačević IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016 | 147 | 2016 |
| Signal recovery on graphs: Random versus experimentally designed sampling S Chen, R Varma, A Singh, J Kovacević 2015 International Conference on Sampling Theory and Applications (SampTA …, 2015 | 39 | 2015 |
| Vector-valued graph trend filtering with non-convex penalties R Varma, H Lee, J Kovačević, Y Chi IEEE transactions on signal and information processing over networks 6, 48-62, 2019 | 38 | 2019 |
| Signal representations on graphs: Tools and applications S Chen, R Varma, A Singh, J Kovačević arXiv preprint arXiv:1512.05406, 2015 | 38 | 2015 |
| Representations of Piecewise Smooth Signals on Graphs S Chen, R Varma, A Singh, J Kovacevic | 38* | |
| Spectrum-blind signal recovery on graphs R Varma, S Chen, J Kovačević 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 23 | 2015 |
| Sampling theory for graph signals on product graphs RA Varma, J Kovacevic 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 14 | 2018 |
| A statistical perspective of sampling scores for linear regression S Chen, R Varma, A Singh, J Kovačcević 2016 IEEE International Symposium on Information Theory (ISIT), 1556-1560, 2016 | 14 | 2016 |
| Shen Li Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ... Pytorch fsdp: Experiences on scaling fully sharded data parallel, 2023 | 11 | 2023 |
| Rakeness-based compressed sensing of multiple-graph signals for IoT applications M Mangia, F Pareschi, R Varma, R Rovatti, J Kovačević, G Setti IEEE Transactions on Circuits and Systems II: Express Briefs 65 (5), 682-686, 2018 | 10 | 2018 |
| Reconstructing cancer drug response networks using multitask learning M Ruffalo, P Stojanov, VK Pillutla, R Varma, Z Bar-Joseph BMC Systems Biology 11, 1-15, 2017 | 10 | 2017 |
| Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery T Ji, S Chen, R Varma, J Kovačević 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 10 | 2015 |
| PyTorch Distributed: Experiences on accelerating data parallel training. CoRR abs/2006.15704 (2020) S Li, Y Zhao, R Varma, O Salpekar, P Noordhuis, T Li, A Paszke, J Smith, ... arXiv preprint arXiv:2006.15704, 2020 | 8 | 2020 |
| Pytorch rpc: Distributed deep learning built on tensor-optimized remote procedure calls P Damania, S Li, A Desmaison, A Azzolini, B Vaughan, E Yang, ... Proceedings of Machine Learning and Systems 5, 219-231, 2023 | 7 | 2023 |
| Random sampling for bandlimited signals on product graphs R Varma, J Kovačević 2019 13th International conference on Sampling Theory and Applications …, 2019 | 6 | 2019 |
| Graph topology recovery for regular and irregular graphs R Varma, S Chen, J Kovačević 2017 IEEE 7th international workshop on computational advances in multi …, 2017 | 6 | 2017 |
| Smooth signal recovery on product graphs R Varma, J Kovačević ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
Siheng ChenShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
