Niraj K. Jha

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 122

Top Venues

CoRR

IEEE Trans. Very Large Scale Integr. Syst.

ACM J. Emerg. Technol. Comput. Syst.

IEEE Trans. Multi Scale Comput. Syst.

Publications

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 (2024)
Chia-Hao Li, Niraj K. Jha
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare. CoRR (2024)
Sayeri Lala, Niraj K. Jha
METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking. CoRR (2024)
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) (2024)
Chang Yue, Niraj K. Jha
CTRL: Clustering Training Losses for Label Error Detection. IEEE Trans. Artif. Intell. 5 (8) (2024)
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 (2024)
Chang Yue, Niraj K. Jha
Learning Interpretable Differentiable Logic Networks. CoRR (2024)
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)
Bhishma Dedhia, Niraj K. Jha
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations. CoRR (2024)
Linhui Huang, Sayeri Lala, Niraj K. Jha
CONFINE: Conformal Prediction for Interpretable Neural Networks. CoRR (2024)
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) (2023)
Tanujay Saha, Tamjid Al Rahat, Najwa Aaraj, Yuan Tian, Niraj K. Jha
ML-FEED: Machine Learning Framework for Efficient Exploit Detection (Extended version). CoRR (2023)
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) (2023)
Shikhar Tuli, Niraj K. Jha
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms. CoRR (2023)
Shikhar Tuli, Niraj K. Jha
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference. CoRR (2023)
Hongjie Wang, Bhishma Dedhia, Niraj K. Jha
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers. CoRR (2023)
Prerit Terway, Niraj K. Jha
INFORM: Inverse Design Methodology for Constrained Multiobjective Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj K. Jha
Im-Promptu: In-Context Composition from Image Prompts. NeurIPS (2023)
Chia-Hao Li, Niraj K. Jha
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors. CoRR (2023)
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? J. Artif. Intell. Res. 77 (2023)
Niraj K. Jha
Smart Healthcare. ACM Great Lakes Symposium on VLSI (2023)
Sayeri Lala, Niraj K. Jha
SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention. CoRR (2023)
Prerit Terway, Niraj K. Jha
REPAIRS: Gaussian Mixture Model-based Completion and Optimization of Partially Specified Systems. ACM Trans. Embed. Comput. Syst. 22 (4) (2023)
Shikhar Tuli, Niraj K. Jha
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers. CoRR (2023)
Shikhar Tuli, Niraj K. Jha
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration. CoRR (2023)
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)
Bhishma Dedhia, Roshini Balasubramanian, Niraj K. Jha
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare. ACM Trans. Comput. Heal. 4 (4) (2023)
Bhishma Dedhia, Michael Chang, Jake C. Snell, Thomas L. Griffiths, Niraj K. Jha
Im-Promptu: In-Context Composition from Image Prompts. CoRR (2023)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? CoRR (2022)
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) (2022)
Jie Lu, Naveen Verma, Niraj K. Jha
Convolutional Autoencoder-Based Transfer Learning for Multi-Task Image Inferences. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Chang Yue, Niraj K. Jha
CTRL: Clustering Training Losses for Label Error Detection. CoRR (2022)
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) (2022)
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) (2022)
Bhishma Dedhia, Roshini Balasubramanian, Niraj K. Jha
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare. CoRR (2022)
Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. CoRR (2022)
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) (2022)
Tanujay Saha, Najwa Aaraj, Niraj K. Jha
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
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) (2022)
Tanujay Saha, Tamjid Al Rahat, Najwa Aaraj, Yuan Tian, Niraj K. Jha
ML-FEED: Machine Learning Framework for Efficient Exploit Detection. TPS-ISA (2022)
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) (2022)
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) (2021)
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 (2021)
Prerit Terway, Kenza Hamidouche, Niraj K. Jha
Fast Design Space Exploration of Nonlinear Systems: Part II. CoRR (2021)
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) (2021)
Tanujay Saha, Najwa Aaraj, Niraj K. Jha
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems. CoRR (2021)
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) (2021)
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) (2021)
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 (2021)
Jacob Brown, Tanujay Saha, Niraj K. Jha
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. CoRR (2021)
Sanjai Narain, Emily Mak, Dana Chee, Brendan J. Englot, Kishore Pochiraju, Niraj K. Jha, Karthik Narayan
Fast Design Space Exploration of Nonlinear Systems: Part I. CoRR (2021)
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks. CoRR (2021)
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) (2021)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
Efficient Synthesis of Compact Deep Neural Networks. CoRR (2020)
Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR (2020)
Prerit Terway, Kenza Hamidouche, Niraj K. Jha
DISPATCH: Design Space Exploration of Cyber-Physical Systems. CoRR (2020)
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) (2020)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference with Deep Neural Networks. CoRR (2020)
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 (2020)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC (2020)
Shayan Hassantabar, Prerit Terway, Niraj K. Jha
TUTOR: Training Neural Networks Using Decision Rules as Model Priors. CoRR (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers 69 (3) (2020)
Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy E. J. Cohen, Kishore Pochiraju, Brendan J. Englot, Niraj K. Jha, Karthik Narayan
Robot Design With Neural Networks, MILP Solvers and Active Learning. CoRR (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR (2019)
Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture. CoRR (2019)
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR (2019)
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)
Ye Yu, Niraj K. Jha
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference. CoRR (2019)
Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha
SECRET: Semantically Enhanced Classification of Real-world Tasks. CoRR (2019)
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR (2019)
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 (2019)
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) (2019)
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. CoRR (2019)
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) (2019)
Shayan Hassantabar, Zeyu Wang, Niraj K. Jha
SCANN: Synthesis of Compact and Accurate Neural Networks. CoRR (2019)
Abdullah Guler, Niraj K. Jha
Hybrid Monolithic 3-D IC Floorplanner. IEEE Trans. Very Large Scale Integr. Syst. 26 (10) (2018)
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) (2018)
Ye Yu, Niraj K. Jha
A Monolithic 3D Hybrid Architecture for Energy-Efficient Computation. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia, Niraj K. Jha
Smart Healthcare. Found. Trends Electron. Des. Autom. 12 (4) (2018)
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) (2018)
Ayten Ozge Akmandor, Niraj K. Jha
Smart Health Care: An Edge-Side Computing Perspective. IEEE Consumer Electron. Mag. 7 (1) (2018)
Arsalan Mosenia, Niraj K. Jha
OpSecure: A Secure Unidirectional Optical Channel for Implantable Medical Devices. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Ayten Ozge Akmandor, Niraj K. Jha
Detecting and Alleviating Stress with SoDA. Computer 51 (7) (2018)
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) (2018)
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) (2018)
Ayten Ozge Akmandor, Hongxu Yin, Niraj K. Jha
Simultaneously ensuring smartness, security, and energy efficiency in Internet-of-Things sensors. CICC (2018)
Linus Torvalds, Niraj K. Jha, Gary Davis, Nasir D. Memon, Petronel Bigioi, Swarup Bhunia, Koji Nakao
Keynotes. ICCE (2018)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR (2018)
Hongxu Yin, Zeyu Wang, Niraj K. Jha
A Hierarchical Inference Model for Internet-of-Things. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (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
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR (2018)
Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
PinMe: Tracking a Smartphone User around the World. CoRR (2018)
Niraj K. Jha
Smart healthcare. ICCE (2018)
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) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Niraj K. Jha