| 2025 | ADMA | Harmonia: A Swift and Accurate Approximate Data Structure for Real-Time Heavy Flow Detection in High-Speed Networks. | Weihe Li, Tianyue Chu, Christos-Savvas Bouganis, Paul Patras |
| 2025 | DATE | A Resource-Aware Residual-Based Gaussian Belief Propagation Accelerator Toolflow. | Omar Sharif, Christos-Savvas Bouganis |
| 2025 | FCCM | ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition. | Yinting Huang, Keran Zheng, Zhewen Yu, Christos-Savvas Bouganis |
| 2025 | ICLR | Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. | Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis |
| 2025 | ICLR | Cached Multi-Lora Composition for Multi-Concept Image Generation. | Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao |
| 2024 | BMVC | Budget-aware Dynamic Spatially Adaptive Inference. | Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2024 | DATE | A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. | Omar Sharif, Christos-Savvas Bouganis |
| 2024 | DATE | Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. | Zhewen Yu, Christos-Savvas Bouganis |
| 2024 | FCCM | SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. | Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2024 | FPL | HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. | Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao |
| 2024 | WACV | Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. | Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2023 | FCCM | ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. | Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides |
| 2023 | FCCM | HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. | Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2023 | FPL | PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. | Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis |
| 2023 | FPL | fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. | Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2023 | FPL | Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. | Zhewen Yu, Christos-Savvas Bouganis |
| 2023 | ICCV | Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. | Guoxuan Xia, Christos-Savvas Bouganis |
| 2023 | WACV | SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. | Zhewen Yu, Christos-Savvas Bouganis |
| 2022 | ACCV | Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. | Guoxuan Xia, Christos-Savvas Bouganis |
| 2022 | FPL | SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. | Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis |
| 2021 | ASPDAC | Learning Boolean Circuits from Examples for Approximate Logic Synthesis. | Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides |
| 2021 | ASPDAC | DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. | Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis |
| 2021 | DSD | POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. | Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis |
| 2020 | CVPR | Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. | Aditya Rajagopal, Christos-Savvas Bouganis |
| 2020 | DATE | A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. | Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2020 | FPL | Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. | Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2020 | ICML | Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. | Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2019 | BMVC | Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. | Manolis Vasileiadis, Christos-Savvas Bouganis, Georgios Stavropoulos, Dimitrios Tzovaras |
| 2019 | IROS | Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset. | Alexandros Kouris, Christos Kyrkou, Christos-Savvas Bouganis |
| 2018 | DATE | An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. | Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman |
| 2018 | DATE | DroNet: Efficient convolutional neural network detector for real-time UAV applications. | Christos Kyrkou, George Plastiras, Theocharis Theocharides, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2018 | FPL | Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. | Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2018 | FPL | f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2018 | IROS | Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. | Alexandros Kouris, Christos-Savvas Bouganis |
| 2017 | FCCM | Communication-Aware MCMC Method for Big Data Applications on FPGAs. | Shuanglong Liu, Christos-Savvas Bouganis |
| 2017 | FPGA | fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2017 | FPL | A high-performance system-on-chip architecture for direct tracking for SLAM. | Konstantinos Boikos, Christos-Savvas Bouganis |
| 2017 | FPL | Latency-driven design for FPGA-based convolutional neural networks. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2016 | FCCM | fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2016 | FPL | Semi-dense SLAM on an FPGA SoC. | Konstantinos Boikos, Christos-Savvas Bouganis |
| 2016 | KDD | FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine. | Mudhar Bin Rabieah, Christos-Savvas Bouganis |
| 2015 | CVPR | Robust multi-image based blind face hallucination. | Yonggang Jin, Christos-Savvas Bouganis |
| 2015 | FPL | FPGA based nonlinear Support Vector Machine training using an ensemble learning. | Mudhar Bin Rabieah, Christos-Savvas Bouganis |
| 2015 | FPL | Towards heterogeneous solvers for large-scale linear systems. | Stylianos I. Venieris, Grigorios Mingas, Christos-Savvas Bouganis |
| 2014 | DATE | Image progressive acquisition for hardware systems. | Jianxiong Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2014 | FPGA | Pushing the performance boundary of linear projection designs through device specific optimisations (abstract only). | Rui Policarpo Duarte, Christos-Savvas Bouganis |
| 2013 | FCCM | On Optimizing the Arithmetic Precision of MCMC Algorithms. | Grigorios Mingas, Farhan Rahman, Christos-Savvas Bouganis |
| 2013 | FPGA | FPGA-based acceleration of cascaded support vector machines for embedded applications (abstract only). | Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides |
| 2013 | FPL | Accelerating Random Forest training process using FPGA. | Chuan Cheng, Christos-Savvas Bouganis |
| 2012 | DSD | The DeSyRe Project: On-Demand System Reliability. | Ioannis Sourdis, Christos Strydis, Christos-Savvas Bouganis, Babak Falsafi, Georgi Nedeltchev Gaydadjiev, Alirad Malek, R. Mariani, Dionisios N. Pnevmatikatos, Dhiraj K. Pradhan, Gerard K. Rauwerda, Kim Sunesen, Stavros Tzilis |
| 2012 | FCCM | A Custom Precision Based Architecture for Accelerating Parallel Tempering MCMC on FPGAs without Introducing Sampling Error. | Grigorios Mingas, Christos-Savvas Bouganis |
| 2012 | FPL | High-level linear projection circuit design optimization framework for FPGAs under over-clocking. | Rui Policarpo Duarte, Christos-Savvas Bouganis |
| 2012 | FPL | Early performance estimation of image compression methods on soft processors. | Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2011 | FPL | A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations. | Xiang Tian, Christos-Savvas Bouganis |
| 2011 | ICIP | Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation. | Maria E. Angelopoulou, Christos-Savvas Bouganis |
| 2010 | FCCM | A Heterogeneous FPGA Architecture for Support Vector Machine Training. | Markos Papadonikolakis, Christos-Savvas Bouganis |
| 2010 | FPL | GPU Versus FPGA for High Productivity Computing. | David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2010 | FPL | Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA. | Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides |
| 2010 | ICONIP | A Salient Region Detector for GPU Using a Cellular Automata Architecture. | David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2009 | ICIP | A sensor-based approach to linear blur identification for real-time video enhancement. | Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2008 | FPL | Real-time image super resolution using an FPGA. | Oliver Bowen, Christos-Savvas Bouganis |
| 2008 | FPL | Efficient FPGA mapping of Gilbert's algorithm for SVM training on large-scale classification problems. | Markos Papadonikolakis, Christos-Savvas Bouganis |
| 2008 | ICIP | Video enhancement on an adaptive image sensor. | Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2007 | FCCM | Efficient Mapping of Dimensionality Reduction Designs onto Heterogeneous FPGAs. | Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung |
| 2007 | FPL | Efficient mapping of a Kalman filter into an FPGA using Taylor Expansion. | Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2006 | DATE | Hardware efficient architectures for Eigenvalue computation. | Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung, Philip Heng Wai Leong, Stephen J. Motley |
| 2006 | FPL | FPGA-Accelerated Pre-Attentive Segmentation in Primary Visual Cortex. | Christos-Savvas Bouganis, Peter Y. K. Cheung, Zhaoping Li |
| 2006 | FPL | Efficient Realtime FPGA Implementation of the Trace Transform. | Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y. K. Cheung, Wayne Luk |
| 2006 | ICIP | A Spatiotemporal Saliency Framework. | Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung |
| 2005 | FCCM | A Novel 2D Filter Design Methodology for Heterogeneous Devices. | Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung |
| 2005 | FPL | Heterogeneity Exploration for Multiple 2D Filter Designs. | Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides |
| 2005 | FPL | FPGA-Accelerated Reconstruction of Gene Regulatory Networks. | Iosifina Pournara, Christos-Savvas Bouganis, George A. Constantinides |
| 2005 | ISCAS | A novel 2D filter design methodology. | Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung |
| 2004 | FPL | A Steerable Complex Wavelet Construction and Its Implementation on FPGA. | Christos-Savvas Bouganis, Peter Y. K. Cheung, Jeffrey Ng, Anil A. Bharath |
| 2003 | BMVC | Class-based Multiple Light Detection: An Application to Faces. | Christos-Savvas Bouganis, Mike Brookes |