default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNiraj K. Jha
Person information
- affiliation: Princeton University, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j229]Chang Yue
, Niraj K. Jha:
CTRL: Clustering Training Losses for Label Error Detection. IEEE Trans. Artif. Intell. 5(8): 4121-4135 (2024)- [j228]Chia-Hao Li, Niraj K. Jha:
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors. ACM Trans. Embed. Comput. Syst. 23(5): 81:1-81:33 (2024) - [j227]Shikhar Tuli, Niraj K. Jha:
EdgeTran: Device-Aware Co-Search of Transformers for Efficient Inference on Mobile Edge Platforms. IEEE Trans. Mob. Comput. 23(6): 7012-7029 (2024) - [c213]Hongjie Wang, Bhishma Dedhia, Niraj K. Jha:
Zero-TPrune: Zero-Shot Token Pruning Through Leveraging of the Attention Graph in Pre-Trained Transformers. CVPR 2024: 16070-16079 - [c212]Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu:
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CVPR 2024: 16080-16089 - [c211]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. NAACL-HLT 2024: 3322-3345 - [i46]Bhishma Dedhia, Niraj K. Jha:
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations. CoRR abs/2403.07887 (2024) - [i45]Chia-Hao Li, Niraj K. Jha:
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare. CoRR abs/2403.08197 (2024) - [i44]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. CoRR abs/2405.00888 (2024) - [i43]Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu:
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CoRR abs/2405.05252 (2024) - [i42]Linhui Huang, Sayeri Lala, Niraj K. Jha:
CONFINE: Conformal Prediction for Interpretable Neural Networks. CoRR abs/2406.00539 (2024) - [i41]Sayeri Lala, Niraj K. Jha:
METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking. CoRR abs/2406.16351 (2024) - [i40]Chang Yue, Niraj K. Jha:
Learning Interpretable Differentiable Logic Networks. CoRR abs/2407.04168 (2024) - 2023
- [j226]Bhishma Dedhia, Roshini Balasubramanian, Niraj K. Jha:
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare. ACM Trans. Comput. Heal. 4(4): 23:1-23:28 (2023) - [j225]Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha:
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? J. Artif. Intell. Res. 77: 39-70 (2023) - [j224]Shayan Hassantabar, Prerit Terway, Niraj K. Jha:
TUTOR: Training Neural Networks Using Decision Rules as Model Priors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 483-496 (2023) - [j223]Prerit Terway, Niraj K. Jha:
INFORM: Inverse Design Methodology for Constrained Multiobjective Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2200-2213 (2023) - [j222]Shikhar Tuli, Niraj K. Jha:
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference With Transformers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4038-4051 (2023) - [j221]Shikhar Tuli, Niraj K. Jha:
TransCODE: Co-Design of Transformers and Accelerators for Efficient Training and Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4817-4830 (2023) - [j220]Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha:
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. ACM Trans. Embed. Comput. Syst. 22(3): 51:1-51:30 (2023) - [j219]Prerit Terway, Niraj K. Jha:
REPAIRS: Gaussian Mixture Model-based Completion and Optimization of Partially Specified Systems. ACM Trans. Embed. Comput. Syst. 22(4): 69:1-69:36 (2023) - [c210]Sanjai Narain, Dana Chee, Pranav Iyer, Emily Mak, Ricardo Valdez, Manli Zhu, Niraj K. Jha, Jaime F. Fisac, Kai-Chieh Hsu, Prerit Terway, Kishore Pochiraju, Brendan J. Englot, Emil Pitz, Sean Rooney, Yewei Huang:
AIMED: AI-Mediated Exploration of Design: An Experience Report. CPS-IoT Week Workshops 2023: 136-140 - [c209]Niraj K. Jha:
Smart Healthcare. ACM Great Lakes Symposium on VLSI 2023: 1 - [c208]Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj K. Jha:
Im-Promptu: In-Context Composition from Image Prompts. NeurIPS 2023 - [i39]Tanujay Saha, Tamjid Al Rahat, Najwa Aaraj, Yuan Tian, Niraj K. Jha:
ML-FEED: Machine Learning Framework for Efficient Exploit Detection (Extended version). CoRR abs/2301.04314 (2023) - [i38]Shikhar Tuli, Niraj K. Jha:
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers. CoRR abs/2302.14705 (2023) - [i37]Shikhar Tuli, Niraj K. Jha:
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms. CoRR abs/2303.13745 (2023) - [i36]Shikhar Tuli, Niraj K. Jha:
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference. CoRR abs/2303.14882 (2023) - [i35]Sayeri Lala, Niraj K. Jha:
SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention. CoRR abs/2305.05078 (2023) - [i34]Chia-Hao Li, Niraj K. Jha:
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors. CoRR abs/2305.05738 (2023) - [i33]Bhishma Dedhia, Michael Chang, Jake C. Snell, Thomas L. Griffiths, Niraj K. Jha:
Im-Promptu: In-Context Composition from Image Prompts. CoRR abs/2305.17262 (2023) - [i32]Hongjie Wang, Bhishma Dedhia, Niraj K. Jha:
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers. CoRR abs/2305.17328 (2023) - [i31]Shikhar Tuli, Niraj K. Jha:
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration. CoRR abs/2308.08666 (2023) - 2022
- [j218]Sanjai Narain, Emily Mak, Dana Chee, Brendan J. Englot, Kishore Pochiraju, Niraj K. Jha, Karthik S. Narayan:
Fast Design Space Exploration of Nonlinear Systems: Part I. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 2970-2983 (2022) - [j217]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
Fast Design Space Exploration of Nonlinear Systems: Part II. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 2984-2999 (2022) - [j216]Shayan Hassantabar, Zeyu Wang, Niraj K. Jha:
SCANN: Synthesis of Compact and Accurate Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3012-3025 (2022) - [j215]Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha:
CURIOUS: Efficient Neural Architecture Search Based on a Performance Predictor and Evolutionary Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4975-4990 (2022) - [j214]Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks. ACM Trans. Embed. Comput. Syst. 21(6): 81:1-81:22 (2022) - [j213]Ye Yu, Niraj K. Jha:
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference. IEEE Trans. Emerg. Top. Comput. 10(1): 237-249 (2022) - [j212]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(2): 752-762 (2022) - [j211]Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha:
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems Based on Machine Learning. IEEE Trans. Emerg. Top. Comput. 10(2): 870-885 (2022) - [j210]Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(2): 962-972 (2022) - [j209]Jie Lu, Naveen Verma, Niraj K. Jha:
Convolutional Autoencoder-Based Transfer Learning for Multi-Task Image Inferences. IEEE Trans. Emerg. Top. Comput. 10(2): 1045-1057 (2022) - [j208]Jacob Brown, Tanujay Saha, Niraj K. Jha:
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. IEEE Trans. Emerg. Top. Comput. 10(3): 1331-1348 (2022) - [j207]Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha:
Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. IEEE Trans. Emerg. Top. Comput. 10(4): 1799-1809 (2022) - [j206]Tanujay Saha, Najwa Aaraj, Niraj K. Jha:
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems. IEEE Trans. Emerg. Top. Comput. 10(4): 2006-2024 (2022) - [c207]Tanujay Saha, Tamjid Al Rahat, Najwa Aaraj, Yuan Tian, Niraj K. Jha:
ML-FEED: Machine Learning Framework for Efficient Exploit Detection. TPS-ISA 2022: 140-149 - [i30]Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha:
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? CoRR abs/2205.11656 (2022) - [i29]Bhishma Dedhia, Roshini Balasubramanian, Niraj K. Jha:
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare. CoRR abs/2207.04208 (2022) - [i28]Chang Yue, Niraj K. Jha:
CTRL: Clustering Training Losses for Label Error Detection. CoRR abs/2208.08464 (2022) - [i27]Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha:
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. CoRR abs/2212.03965 (2022) - 2021
- [j205]Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang:
Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture. IEEE Trans. Computers 70(1): 45-56 (2021) - [j204]Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha:
SECRET: Semantically Enhanced Classification of Real-World Tasks. IEEE Trans. Computers 70(3): 440-456 (2021) - [j203]Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Kenza Hamidouche, Niraj K. Jha:
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks. IEEE Trans. Consumer Electron. 67(4): 244-256 (2021) - [j202]Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha:
DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 9(3): 1139-1150 (2021) - [j201]Ayten Ozge Akmandor, Xiaoliang Dai, Niraj K. Jha:
YSUY: Your Smartphone Understands You - Using Machine Learning to Address Fundamental Human Needs. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7553-7568 (2021) - [i26]Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha:
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning. CoRR abs/2101.02780 (2021) - [i25]Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks. CoRR abs/2102.10435 (2021) - [i24]Malin Prematilake, Younghyun Kim, Vijay Raghunathan, Anand Raghunathan, Niraj K. Jha:
HW/SW Framework for Improving the Safety of Implantable and Wearable Medical Devices. CoRR abs/2103.01781 (2021) - [i23]Sanjai Narain, Emily Mak, Dana Chee, Brendan J. Englot, Kishore Pochiraju, Niraj K. Jha, Karthik S. Narayan:
Fast Design Space Exploration of Nonlinear Systems: Part I. CoRR abs/2104.01747 (2021) - [i22]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
Fast Design Space Exploration of Nonlinear Systems: Part II. CoRR abs/2104.02464 (2021) - [i21]Jacob Brown, Tanujay Saha, Niraj K. Jha:
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. CoRR abs/2106.00073 (2021) - [i20]Tanujay Saha, Najwa Aaraj, Niraj K. Jha:
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems. CoRR abs/2108.03514 (2021) - 2020
- [j200]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers 69(3): 441-452 (2020) - [j199]Abdullah Guler, Niraj K. Jha:
McPAT-Monolithic: An Area/Power/Timing Architecture Modeling Framework for 3-D Hybrid Monolithic Multicore Systems. IEEE Trans. Very Large Scale Integr. Syst. 28(10): 2146-2156 (2020) - [c206]Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c205]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC 2020: 1-6 - [i19]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
Efficient Synthesis of Compact Deep Neural Networks. CoRR abs/2004.08704 (2020) - [i18]Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Niraj K. Jha:
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks. CoRR abs/2007.10497 (2020) - [i17]Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference with Deep Neural Networks. CoRR abs/2007.15151 (2020) - [i16]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
DISPATCH: Design Space Exploration of Cyber-Physical Systems. CoRR abs/2009.10214 (2020) - [i15]Shayan Hassantabar, Prerit Terway, Niraj K. Jha:
TUTOR: Training Neural Networks Using Decision Rules as Model Priors. CoRR abs/2010.05429 (2020) - [i14]Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy E. J. Cohen, Kishore Pochiraju, Brendan J. Englot, Niraj K. Jha, Karthik S. Narayan:
Robot Design With Neural Networks, MILP Solvers and Active Learning. CoRR abs/2010.09842 (2020)
2010 – 2019
- 2019
- [j198]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. IEEE Trans. Computers 68(10): 1487-1497 (2019) - [j197]Abdullah Guler, Niraj K. Jha:
Three-Dimensional Monolithic FinFET-Based 8T SRAM Cell Design for Enhanced Read Time and Low Leakage. IEEE Trans. Very Large Scale Integr. Syst. 27(4): 899-912 (2019) - [c204]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:
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR 2019: 11398-11407 - [i13]Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha:
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. CoRR abs/1901.10997 (2019) - [i12]Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang:
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture. CoRR abs/1903.07676 (2019) - [i11]Shayan Hassantabar, Zeyu Wang, Niraj K. Jha:
SCANN: Synthesis of Compact and Accurate Neural Networks. CoRR abs/1904.09090 (2019) - [i10]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR abs/1905.10952 (2019) - [i9]Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha:
SECRET: Semantically Enhanced Classification of Real-world Tasks. CoRR abs/1905.12356 (2019) - [i8]Ye Yu, Niraj K. Jha:
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference. CoRR abs/1909.00557 (2019) - [i7]Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha:
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR abs/1910.04925 (2019) - [i6]Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha:
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. CoRR abs/1912.05831 (2019) - [i5]Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR abs/1912.08795 (2019) - 2018
- [j196]Ayten Ozge Akmandor, Niraj K. Jha:
Smart Health Care: An Edge-Side Computing Perspective. IEEE Consumer Electron. Mag. 7(1): 29-37 (2018) - [j195]Ayten Ozge Akmandor, Niraj K. Jha:
Detecting and Alleviating Stress with SoDA. Computer 51(7): 4-5 (2018) - [j194]Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia, Niraj K. Jha:
Smart Healthcare. Found. Trends Electron. Des. Autom. 12(4): 401-466 (2018) - [j193]Ye Yu, Niraj K. Jha:
Statistical Optimization of FinFET Processor Architectures under PVT Variations Using Dual Device-Type Assignment. ACM J. Emerg. Technol. Comput. Syst. 14(1): 3:1-3:25 (2018) - [j192]Jie Lu, Hongyang Jia, Naveen Verma, Niraj K. Jha:
Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems. IEEE Trans. Computers 67(2): 222-236 (2018) - [j191]Hongxu Yin, Zeyu Wang, Niraj K. Jha:
A Hierarchical Inference Model for Internet-of-Things. IEEE Trans. Multi Scale Comput. Syst. 4(3): 260-271 (2018) - [j190]Arsalan Mosenia, Niraj K. Jha:
OpSecure: A Secure Unidirectional Optical Channel for Implantable Medical Devices. IEEE Trans. Multi Scale Comput. Syst. 4(3): 410-419 (2018) - [j189]Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha:
PinMe: Tracking a Smartphone User around the World. IEEE Trans. Multi Scale Comput. Syst. 4(3): 420-435 (2018) - [j188]Ye Yu, Niraj K. Jha:
A Monolithic 3D Hybrid Architecture for Energy-Efficient Computation. IEEE Trans. Multi Scale Comput. Syst. 4(4): 533-547 (2018) - [j187]Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha:
Smart, Secure, Yet Energy-Efficient, Internet-of-Things Sensors. IEEE Trans. Multi Scale Comput. Syst. 4(4): 914-930 (2018) - [j186]Abdullah Guler, Niraj K. Jha:
Hybrid Monolithic 3-D IC Floorplanner. IEEE Trans. Very Large Scale Integr. Syst. 26(10): 1868-1880 (2018) - [c203]Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha:
Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors. CICC 2018: 1-8 - [c202]Niraj K. Jha:
Smart healthcare. ICCE 2018: 1 - [c201]Linus Torvalds, Niraj K. Jha, Gary Davis, Nasir D. Memon, Petronel Bigioi, Swarup Bhunia, Koji Nakao:
Keynotes. ICCE 2018: 1-4 - [i4]Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha:
PinMe: Tracking a Smartphone User around the World. CoRR abs/1802.01468 (2018) - [i3]Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR abs/1805.11797 (2018) - [i2]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:
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR abs/1812.08934 (2018) - 2017
- [j185]Mrityunjay Ghosh, Amlan Chakrabarti, Niraj K. Jha:
Automated Quantum Circuit Synthesis and Cost Estimation for the Binary Welded Tree Oracle. ACM J. Emerg. Technol. Comput. Syst. 13(4): 51:1-51:14 (2017) - [j184]Arsalan Mosenia, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha:
CABA: Continuous Authentication Based on BioAura. IEEE Trans. Computers 66(5): 759-772 (2017) - [j183]Arsalan Mosenia, Niraj K. Jha:
A Comprehensive Study of Security of Internet-of-Things. IEEE Trans. Emerg. Top. Comput. 5(4): 586-602 (2017) - [j182]Arsalan Mosenia, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha:
Wearable Medical Sensor-Based System Design: A Survey. IEEE Trans. Multi Scale Comput. Syst. 3(2): 124-138 (2017) - [j181]Hongxu Yin, Niraj K. Jha:
A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles. IEEE Trans. Multi Scale Comput. Syst. 3(4): 228-241 (2017) - [j180]Debajit Bhattacharya, Niraj K. Jha:
Analytical Modeling of the SMART NoC. IEEE Trans. Multi Scale Comput. Syst. 3(4): 242-254 (2017) - [j179]Arsalan Mosenia, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha:
DISASTER: Dedicated Intelligent Security Attacks on Sensor-Triggered Emergency Responses. IEEE Trans. Multi Scale Comput. Syst. 3(4): 255-268 (2017) - [j178]Ayten Ozge Akmandor, Niraj K. Jha:
Keep the Stress Away with SoDA: Stress Detection and Alleviation System. IEEE Trans. Multi Scale Comput. Syst. 3(4): 269-282 (2017) - [j177]Xiaoliang Dai, Niraj K. Jha:
Improving Convergence and Simulation Time of Quantum Hydrodynamic Simulation: Application to Extraction of Best 10-nm FinFET Parameter Values. IEEE Trans. Very Large Scale Integr. Syst. 25(1): 319-329 (2017) - [j176]Xiaoliang Dai, Niraj K. Jha:
Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation. IEEE Trans. Very Large Scale Integr. Syst. 25(9): 2616-2624 (2017) - [c200]Niraj K. Jha:
In