Radu Marculescu

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 115

Top Venues

CoRR

IoTDI

IEEE Trans. Computers

NANOCOM

Publications

Allen-Jasmin Farcas, Geffen Cooper, Hyun Joon Song, Afnan Mir, Vincent Liew, Chloe Tang, Prithvi Senthilkumar, Tiani Chen-Troester, Radu Marculescu
Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation. IoTDI (2024)
William Avery, Mustafa Munir, Radu Marculescu
Scaling Graph Convolutions for Mobile Vision. CoRR (2024)
Md Mostafijur Rahman, Radu Marculescu
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. WACV (2024)
Geffen Cooper, Radu Marculescu
Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-based HAR. IoTDI (2024)
Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation. CoRR (2024)
Geffen Cooper, Tianda Huang, Radu Marculescu
Demo Abstract: A Prototype for Machine Learning with Batteryless Sensors. IoTDI (2024)
Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. CoRR (2024)
Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu
Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior. CoRR (2024)
Arash Amini, Yigit Ege Bayiz, Ashwin Ram, Radu Marculescu, Ufuk Topcu
News Source Credibility Assessment: A Reddit Case Study. CoRR (2024)
Mustafa Munir, Saloni Modi, Geffen Cooper, Huntae Kim, Radu Marculescu
Three Decades of Low Power: From Watts to Wisdom. IEEE Access 12 (2024)
Yigit Ege Bayiz, Arash Amini, Radu Marculescu, Ufuk Topcu
Susceptibility of Communities against Low-Credibility Content in Social News Websites. CoRR (2024)
Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. CoRR (2024)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Machine Unlearning for Image-to-Image Generative Models. CoRR (2024)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Machine Unlearning for Image-to-Image Generative Models. ICLR (2024)
Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. IoTDI (2024)
Allen-Jasmin Farcas, Myungjin Lee, Ramana Rao Kompella, Hugo Latapie, Gustavo de Veciana, Radu Marculescu
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning. IoTDI (2023)
Allen-Jasmin Farcas, Radu Marculescu
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity. IoTDI (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. CoRR (2023)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML (2023)
Md Mostafijur Rahman, Radu Marculescu
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. CoRR (2023)
Jorge Eduardo Rivadeneira, María B. Jiménez, Radu Marculescu, André Rodrigues, Fernando Boavida, Jorge Sá Silva
A Blockchain-Based Privacy-Preserving Model for Consent and Transparency in Human-Centered Internet of Things. IoTDI (2023)
Zihui Xue, Radu Marculescu
Dynamic Multimodal Fusion. CVPR Workshops (2023)
Anish Krishnakumar, Ümit Y. Ogras, Radu Marculescu, Michael Kishinevsky, Trevor N. Mudge
Domain-Specific Architectures: Research Problems and Promising Approaches. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Ümit Y. Ogras, Radu Marculescu, Trevor N. Mudge, Michael Kishinevsky
Introduction to the Special Issue on Domain-Specific System-on-Chip Architectures and Run-Time Management Techniques. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Mustafa Munir, William Avery, Radu Marculescu
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CoRR (2023)
Zihui Xue, Yuedong Yang, Radu Marculescu
SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning. IEEE Trans. Computers 72 (11) (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR (2023)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR (2023)
Md Mostafijur Rahman, Radu Marculescu
Medical Image Segmentation via Cascaded Attention Decoding. WACV (2023)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR (2023)
Yuedong Yang, Guihong Li, Radu Marculescu
Efficient On-device Training via Gradient Filtering. CoRR (2023)
Mustafa Munir, William Avery, Radu Marculescu
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CVPR Workshops (2023)
Md Mostafijur Rahman, Radu Marculescu
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. MIDL (2023)
A. Alper Goksoy, Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
CANNON: Communication-Aware Sparse Neural Network Optimization. IEEE Trans. Emerg. Top. Comput. 11 (4) (2023)
Yuedong Yang, Guihong Li, Radu Marculescu
Efficient On-Device Training via Gradient Filtering. CVPR (2023)
Sofia Hurtado, Radu Marculescu
Quarantine in Motion: A Graph Learning and Multi-Agent Reinforcement Learning Framework to Reduce Disease Transmission Without Lockdown. ASONAM (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. NeurIPS (2023)
Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR (2023)
Md Mostafijur Rahman, Radu Marculescu
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. CoRR (2023)
Allen-Jasmin Farcas, Radu Marculescu
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach. Computer 56 (11) (2023)
Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang
Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR (2023)
Oscar Torres Sanchez, Duarte M. G. Raposo, André Rodrigues, Fernando Boavida, Radu Marculescu, Kongyang Chen, Jorge Sá Silva
An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry. IEEE Access 11 (2023)
Zihui Xue, Radu Marculescu
Dynamic Multimodal Fusion. CoRR (2022)
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. IEEE Embed. Syst. Lett. 14 (1) (2022)
Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom (2022)
Dawei Liang, Guihong Li, Rebecca Adaimi, Radu Marculescu, Edison Thomaz
AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models. ISWC (2022)
Sofia Hurtado, Radu Marculescu, Justin Drake
Quarantine in Motion: A Graph Learning Framework to Reduce Disease Transmission Without Lockdown. ASONAM (2022)
Anish Krishnakumar, Radu Marculescu, Ümit Y. Ogras
INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip. ICCAD (2022)
Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. CoRR (2022)
Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, L. Chang, Kuan-Yu Chen, M.-H. Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md. S. Hassan, Andrew Herschfelt, Jacob Holtom, H.-S. Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, B. McCall, Trevor N. Mudge, Ümit Y. Ogras, V. Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh Venkataramani, X. Wei, B. R. Willis, Hanguang Yu, Yufan Yue
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS (2022)
Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
FLASH: Fast Neural Architecture Search with Hardware Optimization. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Kartikeya Bhardwaj, Guihong Li, Radu Marculescu
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR (2021)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
EdgeAl: A Vision for Deep Learning in the IoT Era. IEEE Des. Test 38 (4) (2021)
Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu
FLASH: Fast Neural Architecture Search with Hardware Optimization. CoRR (2021)
Yuedong Yang, Zihui Xue, Radu Marculescu
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices. CoRL (2021)
A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. CoRR (2021)
Sofia Hurtado, Radu Marculescu, Justin Drake, Ravi Srinivasan
Pruning digital contact networks for meso-scale epidemic surveillance using foursquare data. ASONAM (2021)
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP (2020)
Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) (2020)
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR (2020)
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. CoRR (2020)
Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops (2020)
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC (2020)
Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR (2020)
Chingyi Lin, Radu Marculescu
Model Personalization for Human Activity Recognition. PerCom Workshops (2020)
Anderson L. Sartor, Anish Krishnakumar, Samet E. Arda, Ümit Y. Ogras, Radu Marculescu
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs. IEEE Comput. Archit. Lett. 19 (1) (2020)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. IEEE Trans. Computers 69 (8) (2020)
Alexandru Topirceanu, Mihai Udrescu, Radu Marculescu
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics. CoRR (2020)
Radu Marculescu, Diana Marculescu, Ümit Y. Ogras
Edge AI: Systems Design and ML for IoT Data Analytics. KDD (2020)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. CoRR (2020)
Sofia Hurtado, Poushali Ray, Radu Marculescu
Bot Detection in Reddit Political Discussion. SocialSens@CPSIoTWeek (2019)
Anderson Luiz Sartor, Pedro Henrique Exenberger Becker, Stephan Wong, Radu Marculescu, Antonio Carlos Schneider Beck
Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability. ISVLSI (2019)
Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Chieh Lo, Radu Marculescu
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks. BMC Bioinform. (12) (2019)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
Dream Distillation: A Data-Independent Model Compression Framework. CoRR (2019)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
EdgeAI: A Vision for Deep Learning in IoT Era. CoRR (2019)
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers 68 (6) (2019)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips. CoRR (2019)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR (2019)
Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR (2019)
Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras
A simulation framework for domain-specific system-on-chips: work-in-progress. CODES+ISSS (2019)
Kartikeya Bhardwaj, Radu Marculescu
Towards Unifying Neural Architecture Space Exploration and Generalization. CoRR (2019)
Kartikeya Bhardwaj, Radu Marculescu
Dimensionality Reduction via Community Detection in Small Sample Datasets. PAKDD (3) (2018)
Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. IEEE Trans. Computers 67 (5) (2018)
Chieh Lo, Radu Marculescu
MetaNN: Accurate Classification of Host Phenotypes From Metagenomic Data Using Neural Networks. BCB (2018)
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. CoRR (2018)
Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Hybrid on-chip communication architectures for heterogeneous manycore systems. ICCAD (2018)
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. Computer 51 (7) (2018)
Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. CoRR (2018)
Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. CoRR (2018)
Radu Marculescu
HiCOMB Keynote. IPDPS Workshops (2017)
Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. CoRR (2017)
Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu
Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. Nano Commun. Networks 12 (2017)
Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. DS (2017)
Sohil Shah, Ashwin Raghavachari, Chieh Lo, Radu Marculescu
Molecular communication with DNA cellular storage system. NANOCOM (2017)
Ryan Gary Kim, Wonje Choi, Zhuo Chen, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems. IEEE Trans. Very Large Scale Integr. Syst. 25 (9) (2017)
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. CoRR (2017)
Kartikeya Bhardwaj, Radu Marculescu
K-hop learning: a network-based feature extraction for improved river flow prediction. CySWATER@CPSWeek (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Radu Marculescu