José Cano - RankMe

70 papers A* 1A 5B 6C 4Journal 36Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption. CoRR Lohit Daksha, Seyda Nur Güzelhan, Kaustubh Shivdikar, Carlos Agulló-Domingo, Óscar Vera-López, Gilbert Jonatan, Hubert Dymarkowski, Aymane El Jerari, José Cano, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2026	—	`conf`	GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs. EuroMLSys@EuroSys Lara D'Agata, Carlos Agulló-Domingo, Óscar Vera-López, Kaustubh Shivdikar, Ardhi W. B. Yudha, Ferhat Yaman, David R. Kaeli, José L. Abellán, Ian Colbert, José Cano
2025	B	`conf`	Accelerating Transposed Convolutions on FPGA-Based Edge Devices. FPL Jude Haris, José Cano
2025	J	`jnl`	Accelerating Transposed Convolutions on FPGA-based Edge Devices. CoRR Jude Haris, José Cano
2025	J	`jnl`	Biases in Edge Language Models: Detection, Analysis, and Mitigation. CoRR Vinamra Sharma, Danilo Pietro Pau, José Cano
2025	J	`jnl`	DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. ACM Trans. Archit. Code Optim. Perry Gibson, José Cano, Elliot Crowley, Amos Storkey, Michael F. P. O'Boyle
2025	—	`conf`	Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. EuroMLSys José Duato, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Cano
2025	—	`conf`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. EuroMLSys Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	J	`jnl`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. CoRR Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	—	`conf`	Exploring Robustness of Image Recognition Models on Hardware Accelerators. ICSTW Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2025	J	`jnl`	F-BFQ: Flexible Block Floating-Point Quantization Accelerator for LLMs. CoRR Jude Haris, José Cano
2025	A	`conf`	FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions. EASE Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2025	C	`conf`	QuFi: Adaptive Tiled Gustavson Output Reuse for Edge Sparse DNN Accelerators. ICCD Adrián Navarro, José Cano, José L. Abellán, Manuel E. Acacio
2025	J	`jnl`	Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks. CoRR Idris Zakariyya, Ferheen Ayaz, Mounia Kharbouche-Harrari, Jeremy Singer, Sye Loong Keoh, Danilo Pau, José Cano
2024	J	`jnl`	A survey on Ethereum pseudonymity: Techniques, challenges, and future directions. J. Netw. Comput. Appl. Shivani Jamwal, José Cano, Gyu Myoung Lee, Nguyen Hoang Tran, Nguyen Truong
2024	A	`conf`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2024	J	`jnl`	Accelerating PoT Quantization on Edge Devices. CoRR Rappy Saha, Jude Haris, José Cano
2024	J	`jnl`	Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano
2024	J	`jnl`	Designing Efficient LLM Accelerators for Edge Devices. CoRR Jude Haris, Rappy Saha, Wenhao Hu, José Cano
2024	—	`conf`	Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices. RTSI Vinamra Sharma, Danilo Pau, José Cano
2023	J	`jnl`	A Differential Testing Framework to Evaluate Image Recognition Model Robustness. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2023	J	`jnl`	DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. CoRR Perry Gibson, José Cano, Elliot J. Crowley, Amos Storkey, Michael F. P. O'Boyle
2023	A	`conf`	DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. ICSME Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	—	`ed.`	Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings Euro-Par José Cano, Marios D. Dikaiakos, George A. Papadopoulos, Miquel Pericàs, Rizos Sakellariou
2023	A*	`conf`	Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	Fault Localization for Framework Conversions of Image Recognition Models. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	B	`conf`	Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
2023	J	`jnl`	Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. CoRR Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
2023	J	`jnl`	MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2022	J	`jnl`	Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. CoRR Axel Stjerngren, Perry Gibson, José Cano
2022	B	`conf`	Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. ISPASS Axel Stjerngren, Perry Gibson, José Cano
2022	—	`ed.`	Euro-Par 2022: Parallel Processing - 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings Euro-Par José Cano, Phil Trinder
2022	J	`jnl`	Exploring Effects of Computational Parameter Changes to Image Recognition Systems. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2022	J	`jnl`	Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. CoRR Perry Gibson, José Cano
2022	J	`jnl`	Reusing Auto-Schedules for Efficient DNN Compilation. CoRR Perry Gibson, José Cano
2022	B	`conf`	Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. PACT Perry Gibson, José Cano
2021	J	`jnl`	Optimizing Data Processing in Space for Object Detection in Satellite Imagery. CoRR Martina Lofqvist, José Cano
2021	C	`conf`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2021	J	`jnl`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2021	J	`jnl`	Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli
2020	J	`jnl`	Accelerating Deep Learning Applications in Space. CoRR Martina Lofqvist, José Cano
2020	C	`conf`	Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli
2020	—	`conf`	Optimizing Grouped Convolutions on Edge Devices. ASAP Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	J	`jnl`	Optimizing Grouped Convolutions on Edge Devices. CoRR Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	B	`conf`	Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. ISPASS Perry Gibson, José Cano
2020	J	`jnl`	Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. CoRR Perry Gibson, José Cano
2020	J	`jnl`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2019	—	`conf`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2018	A	`conf`	Automatic Parameter Tuning of Motion Planning Algorithms. IROS José Cano, Yiming Yang, Bruno Bodin, Vijay Nagarajan, Michael F. P. O'Boyle
2018	—	`conf`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	HAKD: Hardware Aware Knowledge Distillation. CoRR Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos Storkey, Michael F. P. O'Boyle
2018	J	`jnl`	Solving the task variant allocation problem in distributed robotics. Auton. Robots José Cano, David Robert White, Alejandro Bordallo, Ciaran McCreesh, Anna Lito Michala, Jeremy Singer, Vijay Nagarajan
2017	B	`conf`	HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation. ISPASS Rakesh Kumar, José Cano, Aleksandar Brankovic, Demos Pavlou, Kyriakos Stavrou, Enric Gibert, Alejandro Martínez, Antonio Gonzalez
2016	A	`conf`	Automatic configuration of ROS applications for near-optimal performance. IROS José Cano, Alejandro Bordallo, Vijay Nagarajan, Subramanian Ramamoorthy, Sethu Vijayakumar
2016	—	`conf`	Quantitative characterization of the software layer of a HW/SW co-designed processor. IISWC José Cano, Rakesh Kumar, Aleksandar Brankovic, Demos Pavlou, Kyriakos Stavrou, Enric Gibert, Alejandro Martínez, Antonio González
2016	—	`conf`	Task Variant Allocation in Distributed Robotics. Robotics: Science and Systems José Cano, David Robert White, Alejandro Bordallo, Ciaran McCreesh, Patrick Prosser, Jeremy Singer, Vijay Nagarajan
2015	—	`conf`	Dynamic process migration in heterogeneous ROS-based environments. ICAR José Cano, Eduardo J. Molinos, Vijay Nagarajan, Sethu Vijayakumar
2014	J	`jnl`	Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead. IEEE Trans. Computers José Cano, José Flich, Antoni Roca, José Duato, Marcello Coppola, Riccardo Locatelli
2013	J	`jnl`	Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mob. Inf. Syst. MaJosé Villanueva, Carlos Miguel Tavares Calafate, Alvaro Torres, José Cano, Juan-Carlos Cano, Pietro Manzoni
2012	—	`conf`	Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. NOCS Qiaoyan Yu, José Cano, José Flich, Paul Ampadu
2011	—	`conf`	Efficient routing implementation in complex systems-on-chip. NOCS José Cano, José Flich, José Duato, Marcello Coppola, Riccardo Locatelli
2011	—	`conf`	Spidergon STNoC design flow. NOCS Florentine Dubois, José Cano, Marcello Coppola, José Flich, Frédéric Pétrot
2010	J	`jnl`	EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Commun. Mag. José Cano, Juan-Carlos Cano, Chai-Keong Toh, Carlos Miguel Tavares Calafate, Pietro Manzoni
2007	—	`conf`	Solving the user-to-host binding problem in ad hoc networks through photo-ids. PE-WASUN José Cano, Juan-Carlos Cano, Carlos Miguel Tavares Calafate, Pietro Manzoni
2005	C	`conf`	On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. ISCC José Cano, Juan-Carlos Cano, Pietro Manzoni, David Ferrández-Bell
2004	—	`conf`	The Newton Polygon Method for Differential Equations. IWMM/GIAE José Cano