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Ajitesh Srivastava

University of Southern California

Accelerating Large Scale Real-Time GNN Inference using Channel Pruning


May 10, 2021
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna


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The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance


Feb 04, 2021
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna

* 8 pages, 6 figures. Accepted at the 5th International Workshop on Health Intelligence in conjunction with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Deep Graph Neural Networks with Shallow Subgraph Samplers


Dec 02, 2020
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna, Long Jin, Andrey Malevich, Ren Chen

* 21 pages 

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Accurate, Efficient and Scalable Training of Graph Neural Networks


Oct 05, 2020
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna

* Journal of Parallel and Distributed Computing, Volume 147, January 2021, Pages 166-183 
* 43 pages, 8 figures. arXiv admin note: text overlap with arXiv:1810.11899 

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Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ$α$ Model


Jul 13, 2020
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna

* Fixed a typo 

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Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations


Jun 15, 2020
Ajitesh Srivastava, Viktor K. Prasanna

* Fixed a typo in Equation 12 

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Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic


May 04, 2020
Ajitesh Srivastava, Viktor K. Prasanna

* 12 pages, 8 figures. Added a figure 

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Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction


Mar 17, 2020
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna


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SPEC2: SPECtral SParsE CNN Accelerator on FPGAs


Oct 16, 2019
Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor Prasanna

* This is a 10-page conference paper in 26TH IEEE International Conference On High Performance Computing, Data, and Analytics (HiPC) 

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GraphSAINT: Graph Sampling Based Inductive Learning Method


Jul 10, 2019
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna

* 16 pages 

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Accurate, Efficient and Scalable Graph Embedding


Oct 30, 2018
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna

* 10 pages 

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