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GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security


May 31, 2021
Jacob Brown, Tanujay Saha, Niraj K. Jha

* This article has been published in IEEE Transactions on Emerging Topics in Computing, 2021 

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Fast Design Space Exploration of Nonlinear Systems: Part I


Apr 11, 2021
Sanjai Narain, Emily Mak, Dana Chee, Brendan Englot, Kishore Pochiraju, Niraj K. Jha, Karthik Narayan

* 14 pages, 26 figures. arXiv admin note: text overlap with arXiv:2010.09842 

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Fast Design Space Exploration of Nonlinear Systems: Part II


Apr 08, 2021
Prerit Terway, Kenza Hamidouche, Niraj K. Jha

* 14 pages, 24 figures. arXiv admin note: substantial text overlap with arXiv:2009.10214 

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MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks


Feb 20, 2021
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha

* 11 pages, 6 figures 

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SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning


Jan 07, 2021
Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha

* This article has been accepted in IEEE Transactions on Emerging Topics in Computing. 17 pages, 12 figures, IEEE copyright 

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Robot Design With Neural Networks, MILP Solvers and Active Learning


Oct 19, 2020
Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy Cohen, Kishore Pochiraju, Brendan Englot, Niraj K. Jha, Karthik Narayan

* 22 pages, 8 figures 

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TUTOR: Training Neural Networks Using Decision Rules as Model Priors


Oct 13, 2020
Shayan Hassantabar, Prerit Terway, Niraj K. Jha

* 12 pages, 4 figures 

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DISPATCH: Design Space Exploration of Cyber-Physical Systems


Sep 25, 2020
Prerit Terway, Kenza Hamidouche, Niraj K. Jha

* 14 pages 

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Fully Dynamic Inference with Deep Neural Networks


Jul 29, 2020
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha


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CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks


Jul 28, 2020
Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Niraj K. Jha

* 11 pages, 3 figures 

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Efficient Synthesis of Compact Deep Neural Networks


Apr 18, 2020
Wenhan Xia, Hongxu Yin, Niraj K. Jha


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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion


Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


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STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods


Dec 12, 2019
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha

* 12 pages, 4 figures 

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DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks


Oct 11, 2019
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha


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SECRET: Semantically Enhanced Classification of Real-world Tasks


May 29, 2019
Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha

* 15 pages, 15 figures, 2 tables - IEEE Transactions on Computers - under review 

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Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks


May 27, 2019
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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SCANN: Synthesis of Compact and Accurate Neural Networks


Apr 19, 2019
Shayan Hassantabar, Zeyu Wang, Niraj K. Jha

* 11 pages, 5 figures 

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Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture


Mar 18, 2019
Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang


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Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM


Jan 30, 2019
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha


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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation


Dec 21, 2018
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha


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NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm


Jun 01, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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Grow and Prune Compact, Fast, and Accurate LSTMs


May 31, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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