Deepu John

89 papers A* 1C 7Misc 1Journal 54Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A review on multi-sensor data fusion for wearable health monitoring.
Inf. Fusion
Arlene John, Alex P. James, Barry Cardiff, Deepu John
2026 J jnl
WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching.
CoRR
Xiangchen Li, Jiakun Fan, Qingyuan Wang, Dimitrios Spatharakis, Saeid Ghafouri, Hans Vandierendonck, Deepu John, Bo Ji, Ali Raza Butt, Dimitrios S. Nikolopoulos
2025 — conf
Bare-Metal RISC-V + NVDLA SoC for Efficient Deep Learning Inference.
SOCC
Vineet Kumar, Ajay Kumar M, Yike Li, Shreejith Shanker, Deepu John
2025 J jnl
Bare-Metal RISC-V + NVDLA SoC for Efficient Deep Learning Inference.
CoRR
Vineet Kumar, Ajay Kumar M, Yike Li, Shreejith Shanker, Deepu John
2025 J jnl
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits.
CoRR
Xiaolin Li, Binhua Huang, Barry Cardiff, Deepu John
2025 J jnl
DCentNet: Decentralized multistage biomedical signal classification using early exits.
Biomed. Signal Process. Control.
Xiaolin Li, Binhua Huang, Barry Cardiff, Deepu John
2025 J jnl
DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling.
Future Gener. Comput. Syst.
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2025 A* conf
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models.
AAAI
Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Ji
2025 J jnl
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI.
CoRR
Ajay Kumar M, Cian O'Mahoney, Pedro Kreutz Werle, Shreejith Shanker, Dimitrios S. Nikolopoulos, Bo Ji, Hans Vandierendonck, Deepu John
2025 J jnl
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI.
IEEE Open J. Circuits Syst.
Ajay Kumar M, Cian O'Mahoney, Pedro Kreutz Werle, Shreejith Shanker, Dimitrios S. Nikolopoulos, Bo Ji, Hans Vandierendonck, Deepu John
2025 J jnl
MLFusion: Multilevel Data Fusion using CNNS for atrial fibrillation detection.
Comput. Biol. Medicine
Arlene John, Keshab K. Parhi, Barry Cardiff, Deepu John
2025 J jnl
Multimodal fusion for robust respiratory rate estimation in wearable sensing.
Inf. Fusion
Arlene John, He Wang, Barry Cardiff, Keshab K. Parhi, Deepu John
2025 — conf
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency.
ICCVW
Qingyuan Wang, Guoxin Wang, Barry Cardiff, Deepu John
2025 J jnl
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency.
CoRR
Qingyuan Wang, Guoxin Wang, Barry Cardiff, Deepu John
2025 J jnl
Optimal Brain Connection: Towards Efficient Structural Pruning.
CoRR
Shaowu Chen, Wei Ma, Binhua Huang, Qingyuan Wang, Guoxin Wang, Weize Sun, Lei Huang, Deepu John
2025 J jnl
Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices.
CoRR
Saeid Ghafouri, Mohsen Fayyaz, Xiangchen Li, Deepu John, Bo Ji, Dimitrios S. Nikolopoulos, Hans Vandierendonck
2025 J jnl
QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference.
CoRR
Xiangchen Li, Saeid Ghafouri, Bo Ji, Hans Vandierendonck, Deepu John, Dimitrios S. Nikolopoulos
2025 Misc conf
SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving.
SEC
Xiangchen Li, Dimitrios Spatharakis, Saeid Ghafouri, Jiakun Fan, Hans Vandierendonck, Deepu John, Bo Ji, Dimitrios S. Nikolopoulos
2025 J jnl
SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving.
CoRR
Xiangchen Li, Dimitrios Spatharakis, Saeid Ghafouri, Jiakun Fan, Hans Vandierendonck, Deepu John, Bo Ji, Dimitrios S. Nikolopoulos
2025 J jnl
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers.
CoRR
Guoxin Wang, Qingyuan Wang, Binhua Huang, Shaowu Chen, Deepu John
2024 J jnl
A Background Jitter Calibration for ADCs Using TDC Phase Information From ADPLL.
IEEE Access
Haoyang Shen, Hao Zheng, Daniel O'Hare, Deepu John, Barry Cardiff
2024 J jnl
Class-Separation Preserving Pruning for Deep Neural Networks.
IEEE Trans. Artif. Intell.
Inder Preet, Oisín Boydell, Deepu John
2024 J jnl
DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors.
IEEE J. Biomed. Health Informatics
Guoxin Wang, Shreejith Shanker, Avishek Nag, Yong Lian, Deepu John
2024 J jnl
ECG Classification With Event-Driven Sampling.
IEEE Access
Maryam Saeed, Olev Martens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
2024 J jnl
FEC-Aided Decision Feedback Blind Mismatch Calibration of TIADCs in Wireless Time-Varying Channel Environments.
IEEE Trans. Very Large Scale Integr. Syst.
Haoyang Shen, Deepu John, Barry Cardiff
2024 J jnl
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments.
CoRR
Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Jin
2024 — conf
Implementation and analysis of custom instructions on RISC-V for Edge-AI applications.
HEART
Ajay Kumar M, Vineet Kumar, Deepu John, Shreejith Shanker
2024 — conf
KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer.
SOCC
Aness Al-Qawlaq, Ajay Kumar M, Deepu John
2024 J jnl
KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer.
CoRR
Aness Al-Qawlaq, Ajay Kumar M, Deepu John
2024 J jnl
POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective.
Knowl. Based Syst.
Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John
2024 — conf
Tiny Models are the Computational Saver for Large Models.
ECCV (56)
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
Tiny Models are the Computational Saver for Large Models.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2023 J jnl
A DSP-Based EBI, ECG, and PPG Measurement Platform.
IEEE Trans. Instrum. Meas.
Anar Abdullayev, Marek Rist, Olev Märtens, Margus Metshein, Benoit Larras, Antoine Frappé, Antoine Gautier, Mart Min, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus
2023 J jnl
A Foreground Mismatch and Memory Harmonic Distortion Calibration Algorithm for TIADC.
IEEE Trans. Circuits Syst. I Regul. Pap.
Haoyang Shen, Adam Blaq, Deepu John, Barry Cardiff
2023 J jnl
An evaluation of ECG data fusion algorithms for wearable IoT sensors.
Inf. Fusion
Arlene John, Antony Padinjarathala, Emer Doheny, Barry Cardiff, Deepu John
2023 — conf
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications.
AICAS
Li Xiaolin, Fang Xiang, Rajesh C. Panicker, Barry Cardiff, Deepu John
2023 — conf
Correcting ADC jitter using DPLL timing error signal.
NEWCAS
Haoyang Shen, Hao Zheng, Daniel O'Hare, Deepu John, Barry Cardiff
2023 — conf
Decentralised Biomedical Signal Classification using Early Exits.
NEWCAS
Li Xiaolin, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Bo Jin, Barry Cardiff, Deepu John
2023 J jnl
ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Vineeta Vasudevan Nair, Chithra Reghuvaran, Deepu John, Bhaskar Choubey, Alex James
2023 — conf
Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications.
NorCAS
Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé
2023 J jnl
Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors.
IEEE Internet Things J.
Gawsalyan Sivapalan, Koushik Kumar Nundy, Alex James, Barry Cardiff, Deepu John
2023 J jnl
NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro.
Neurocomputing
Van-Ngoc Dinh, Ngoc-My Bui, Van-Tinh Nguyen, Deepu John, Longyang Lin, Quang-Kien Trinh
2023 J jnl
P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification.
CoRR
Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John
2023 — conf
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.
BioCAS
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John
2023 J jnl
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.
CoRR
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John
2022 J jnl
A Background Calibration for Joint Mismatch in the OFDM System With Time-Interleaved ADC.
IEEE Trans. Circuits Syst. II Express Briefs
Haoyang Shen, Deepu John, Barry Cardiff
2022 J jnl
A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors.
IEEE Internet Things J.
Arlene John, Stephen J. Redmond, Barry Cardiff, Deepu John
2022 J jnl
A predictive analytics approach for stroke prediction using machine learning and neural networks.
CoRR
Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu, Nishtha Jain, Bharadwaj Veeravalli, Deepu John
2022 J jnl
ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.
IEEE Trans. Biomed. Circuits Syst.
Gawsalyan Sivapalan, Koushik Kumar Nundy, Soumyabrata Dev, Barry Cardiff, Deepu John
2022 — conf
Accurate Reconstruction of ECG Signals using Chebyshev Polynomials.
ICECS 2022
Maryam Saeed, Deepu John, Barry Cardiff
2022 J jnl
An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices.
IEEE Trans. Biomed. Circuits Syst.
David Liang Tai Wong, Yongfu Li, Deepu John, Weng Khuen Ho, Chun-Huat Heng
2022 — conf
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks.
LASCAS
Xiu Qi Chang, Ann Feng Chew, Benjamin Chen Ming Choong, Shuhui Wang, Rui Han, Wang He, Li Xiaolin, Rajesh C. Panicker, Deepu John
2022 J jnl
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks.
CoRR
Xiu Qi Chang, Ann Feng Chew, Benjamin Chen Ming Choong, Shuhui Wang, Rui Han, Wang He, Li Xiaolin, Rajesh C. Panicker, Deepu John
2022 — conf
Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices.
ICECS 2022
Li Xiaolin, Qingyuan Wang, Rajesh C. Panicker, Barry Cardiff, Deepu John
2022 J jnl
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications.
CoRR
Xiaolin Li, Fang Xiang, Rajesh C. Panicker, Barry Cardiff, Deepu John
2022 — conf
Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.
ICECS 2022
Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John
2022 — conf
Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials.
BioCAS
Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
2022 — conf
Fiducial Point Estimation Solution for Impedance Cardiography Measurements.
I2MTC
Olev Märtens, Margus Metshein, Anar Abdullayev, Benoit Larras, Antoine Frappé, Antoine Gautier, Maryam Saeed, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus, Marek Rist
2022 J jnl
Low Complexity Binarized 2D-CNN Classifier for Wearable Edge AI Devices.
IEEE Trans. Biomed. Circuits Syst.
David Liang Tai Wong, Yongfu Li, Deepu John, Weng Khuen Ho, Chun-Huat Heng
2021 C conf
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors.
ISCAS
Arlene John, Barry Cardiff, Deepu John
2021 J jnl
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors.
CoRR
Arlene John, Barry Cardiff, Deepu John
2021 C conf
Continuous User Authentication Using IoT Wearable Sensors.
ISCAS
Conor Smyth, Guoxin Wang, Rajesh C. Panicker, Avishek Nag, Barry Cardiff, Deepu John
2021 J jnl
Continuous User Authentication using IoT Wearable Sensors.
CoRR
Conor Smyth, Guoxin Wang, Rajesh C. Panicker, Avishek Nag, Barry Cardiff, Deepu John
2021 — conf
Embedded ICG-based Stroke Volume Measurement System: Comparison of Discrete-Time and Continuous-Time Architectures.
SoCC
Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé
2021 J jnl
Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.
IEEE Trans. Biomed. Circuits Syst.
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
2021 C conf
Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.
ISCAS
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
2021 C conf
Fully Remote Project-Based Learning of Hardware/Software Codesign.
FIE
Rajesh C. Panicker, Deepu John
2021 J jnl
Guest Editorial Special Issue on Selected Papers From ISCAS 2021.
IEEE Trans. Biomed. Circuits Syst.
Deepu John, Tony Tae-Hyoung Kim, Matthew L. Johnston
2021 J jnl
Identifying Stroke Indicators Using Rough Sets.
CoRR
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, Avishek Nag, Soumyabrata Dev
2021 J jnl
Multimodal Multiresolution Data Fusion Using Convolutional Neural Networks for IoT Wearable Sensing.
IEEE Trans. Biomed. Circuits Syst.
Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John
2021 — conf
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices.
EMBC
Xiaolin Li, Rajesh C. Panicker, Barry Cardiff, Deepu John
2021 J jnl
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices.
CoRR
Xiaolin Li, Rajesh C. Panicker, Barry Cardiff, Deepu John
2021 C conf
Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices.
ISCAS
David Liang Tai Wong, Yongfu Li, Deepu John, Weng Khuen Ho, Chun-Huat Heng
2021 — conf
Slope-Based Event-Driven Feature Extraction For Cardiac Arrhythmia Classification.
BioCAS
Julien Duforest, Benoît Larras, Deepu John, Olev Märtens, Antoine Frappé
2021 — conf
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches.
EMBC
Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John
2021 J jnl
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches.
CoRR
Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John
2021 J jnl
Special Section on Edge AI and Accelerators.
IEEE Open J. Circuits Syst.
Deepu John, Yongfu Li, Xinmiao Zhang
2021 — conf
Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals.
EMBC
Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens
2020 — conf
A 1D Convolutional Neural Network for Heartbeat Classification from Single Lead ECG.
ICECS
Xiaolin Li, Barry Cardiff, Deepu John
2020 C conf
A Generalized Signal Quality Estimation Method for IoT Sensors.
ISCAS
Arlene John, Barry Cardiff, Deepu John
2020 — conf
An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors.
ICECS
Arlene John, Salim Ullah, Akash Kumar, Barry Cardiff, Deepu John
2020 J jnl
Binary Classifiers for Data Integrity Detection in Wearable IoT Edge Devices.
IEEE Open J. Circuits Syst.
Arlene John, Rajesh C. Panicker, Barry Cardiff, Yong Lian, Deepu John
2020 J jnl
Identifying Stroke Indicators Using Rough Sets.
IEEE Access
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, Avishek Nag, Soumyabrata Dev
2020 C conf
Introducing FPGA-based Machine Learning on the Edge to Undergraduate Students.
FIE
Rajesh C. Panicker, Akash Kumar, Deepu John
2020 — conf
Low Complexity ECG Biometric Authentication for IoT Edge Devices.
ICTA
Guoxin Wang, Deepu John, Avishek Nag
2020 J jnl
Low Power Optimisations for IoT Wearable Sensors Based on Evaluation of Nine QRS Detection Algorithms.
IEEE Open J. Circuits Syst.
Jiamin Li, Adnan Ashraf, Barry Cardiff, Rajesh C. Panicker, Yong Lian, Deepu John
2019 — conf
Predicting Stroke from Electronic Health Records.
EMBC
Chidozie Shamrock Nwosu, Soumyabrata Dev, Peru Bhardwaj, Bharadwaj Veeravalli, Deepu John
2018 — conf
Adaptive Learning and Analytics in Engineering Education.
TALE
Rajesh C. Panicker, Akash Kumar, Dipti Srinivasan, Deepu John