publications
journal and conference publications
I have published more than 140 papers in international conferences (CVPR, ICCV, ECCV, ICPR, ISCAS, ...) and international journals (TNNLS, TKDE, PR, ...). You can find a list of my publications, along with links to the paper/publisher site and code (when available) below. If you find any broken link or missing paper, please let me know and I will be happy to share our work with you.
Journals
2023
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Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network TrainingNeural Processing Letters, 2023
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Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applicationsAdvanced Photonics, 2023
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Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precisionNanophotonics, 2023
2022
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Autoencoder-driven spiral representation learning for gravitational wave surrogate modellingNeurocomputing, 2022
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Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited opticsOptics Express, 2022
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Neuromorphic silicon photonics and hardware-aware deep learning for high-speed inferenceJournal of Lightwave Technology, 2022
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WDM equipped universal linear optics for programmable neuromorphic photonic processorsNeuromorphic Computing and Engineering, 2022
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Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learningNeural Computing and Applications, 2022
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Robust architecture-agnostic and noise resilient training of photonic deep learning modelsIEEE Transactions on Emerging Topics in Computational Intelligence, 2022
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Noise-resilient and high-speed deep learning with coherent silicon photonicsNature Communications, 2022
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Predicting on-street parking violation rate using deep residual neural networksPattern Recognition Letters, 2022
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Universal Linear Optics Revisited: New Perspectives for Neuromorphic Computing with Silicon PhotonicsIEEE Journal of Selected Topics in Quantum Electronics, 2022
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Universal Linear Optics for Ultra-Fast Neuromorphic Silicon Photonics Towards Fj/MAC and TMAC/sec/mm 2 EnginesIEEE Journal of Selected Topics in Quantum Electronics, 2022
2021
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Forecasting Financial Time Series Using Robust Deep Adaptive Input NormalizationJournal of Signal Processing Systems, 2021
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Diversity-driven knowledge distillation for financial trading using Deep Reinforcement LearningNeural Networks, 2021
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A photonic recurrent neuron for time-series classificationJournal of Lightwave Technology, 2021
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Deep adaptive group-based input normalization for financial tradingPattern Recognition Letters, 2021
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Improving knowledge distillation using unified ensembles of specialized teachersPattern Recognition Letters, 2021
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2020
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Using deep learning for price prediction by exploiting stationary limit order book featuresApplied Soft Computing, 2020
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Variance-preserving deep metric learning for content-based image retrievalPattern Recognition Letters, 2020
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Femtojoule per MAC neuromorphic photonics: an energy and technology roadmapIEEE Journal of Selected Topics in Quantum Electronics, 2020
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Efficient adaptive inference for deep convolutional neural networks using hierarchical early exitsPattern Recognition, 2020
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All-optical WDM recurrent neural networks with gatingIEEE Journal of Selected Topics in Quantum Electronics, 2020
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Probabilistic knowledge transfer for lightweight deep representation learningIEEE Transactions on Neural Networks and Learning Systems, 2020
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Price trailing for financial trading using deep reinforcement learningIEEE Transactions on Neural Networks and Learning Systems, 2020
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Multi-Level Reversible Data Anonymization via Compressive Sensing and Data HidingIEEE Transactions on Information Forensics and Security, 2020
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A Photonic Recurrent Neuron for Time-Series ClassificationJournal of Lightwave Technology, 2020
2019
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Long-term temporal averaging for stochastic optimization of deep neural networksNeural Computing and Applications, 2019
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Machine learning for forecasting mid-price movements using limit order book dataIEEE Access, 2019
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Training deep photonic convolutional neural networks with sinusoidal activationsIEEE Transactions on Emerging Topics in Computational Intelligence, 2019
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Continuous drone control using deep reinforcement learning for frontal view person shootingNeural Computing and Applications, 2019
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Visual representation decoding from human brain activity using machine learning: A baseline studyPattern Recognition Letters, 2019
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Neuromorphic photonics with coherent linear neurons using dual-IQ modulation cellsJournal of Lightwave Technology, 2019
2018
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Explicit ensemble attention learning for improving visual question answeringPattern Recognition Letters, 2018
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Unsupervised knowledge transfer using similarity embeddingsIEEE Transactions on Neural Networks and Learning Systems, 2018
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Temporal bag-of-features learning for predicting mid price movements using high frequency limit order book dataIEEE Transactions on Emerging Topics in Computational Intelligence, 2018
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Training lightweight deep convolutional neural networks using bag-of-features poolingIEEE Transactions on Neural Networks and Learning Systems, 2018
2017
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Learning neural bag-of-features for large-scale image retrievalIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
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Dimensionality reduction using similarity-induced embeddingsIEEE Transactions on Neural Networks and Learning Systems, 2017
2016
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Information clustering using manifold-based optimization of the bag-of-features representationIEEE Transactions on Cybernetics, 2016
Conferences
2022
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OpenDR: An open toolkit for enabling high performance, low footprint deep learning for roboticsIn IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
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Photonic neuromorphic computing: Architectures, technologies, and training modelsIn Optical Fiber Communications Conference and Exhibition (OFC), 2022
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Silicon photonic neuromorphic computing with 16 GHz input data and weight update line ratesIn Conference on Lasers and Electro-Optics (CLEO), 2022
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Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial ObservabilityIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
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A robust, quantization-aware training method for photonic neural networksIn 23rd International Conference Engineering Applications of Neural Networks (EAAAI/EANN), 2022
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Electric load demand forecasting on greek energy market using lightweight neural networksIn IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
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Deep Learning for On-Street Parking Violation PredictionIn IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
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Early detection of ddos attacks using photonic neural networksIn IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
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Active Vision Control Policies for Face Recognition using Deep Reinforcement LearningIn 30th European Signal Processing Conference (EUSIPCO), 2022
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Learning photonic neural network initialization for noise-aware end-to-end fiber transmissionIn 30th European Signal Processing Conference (EUSIPCO), 2022
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Deep Video Stream Information Analysis and Retrieval: Challenges and OpportunitiesIn IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022
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Online Knowledge Distillation for Financial Timeseries ForecastingIn International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2022
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Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural NetworksIn IEEE International Conference on Image Processing (ICIP), 2022
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High-speed analog photonic computing with tiled matrix multiplication and dynamic precision capabilities for DNNsIn European Conference on Optical Communication (ECOC), 2022
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Photonic Neuromorphic ComputingIn Optical Fiber Communications Conference and Exhibition (OFC), 2022
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Normalized Post-training Quantization for Photonic Neural NetworksIn IEEE Symposium Series on Computational Intelligence (SSCI), 2022
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Improving Noise Resilience in End-to-End Deep Learning Optical Fiber Transmission LinksIn Asia Communications and Photonics Conference (ACP), 2022
2021
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Robust Hypersphere-based Weight Imprinting for Few-Shot LearningIn European Signal Processing Conference (EUSIPCO), 2021
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Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series AnalysisIn European Signal Processing Conference (EUSIPCO), 2021
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Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image RetrievalIn International Conference on Pattern Recognition (ICPR), 2021
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Improving Visual Question Answering using Active Perception on Static ImagesIn International Conference on Pattern Recognition (ICPR), 2021
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End-to-end deep learning with neuromorphic photonicsIn Integrated Optics: Devices, Materials, and Technologies XXV, 2021
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Efficient Online Subclass Knowledge Distillation for Image ClassificationIn International Conference on Pattern Recognition (ICPR), 2021
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Human Action Recognition using Recurrent Bag-of-Features PoolingIn Workshop Image Mining Theory and Applications (IMTA VII)-, 2021
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Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human DigitizationIn International Conference on Engineering Applications of Neural Networks, 2021
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Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News AnalysisIn IFIP International Conference on Artificial Intelligence Applications and Innovations, 2021
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Temporal Difference Rewards for End-to-end Vision-based Active Robot Tracking using Deep Reinforcement LearningIn International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021
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Leveraging quadratic spherical mutual information hashing for fast image retrievalIn 25th International Conference on Pattern Recognition (ICPR), 2021
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Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory RefinementIn IEEE International Conference on Image Processing (ICIP), 2021
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25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware trainingIn European Conference on Optical Communication (ECOC), 2021
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Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early ExitsIn 29th European Signal Processing Conference (EUSIPCO), 2021
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Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based NormalizationIn IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
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Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cellsIn European Conference on Optical Communication (ECOC), 2021
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Compute with light: architectures, technologies and training models for neuromorphic photonic circuitsIn European Conference on Optical Communication (ECOC), 2021
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A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rateIn Optical Fiber Communication Conference, 2021
2020
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Neuromorphic computing through photonic integrated circuitsIn Smart Photonic and Optoelectronic Integrated Circuits XXII, 2020
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Adaptive normalization for forecasting limit order book data using convolutional neural networksIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
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Deepbots: A webots-based deep reinforcement learning framework for roboticsIn IFIP International Conference on Artificial Intelligence Applications and Innovations, 2020
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Leveraging deep reinforcement learning for active shooting under open-world settingIn IEEE International Conference on Multimedia and Expo (ICME), 2020
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aColor: Mechatronics, Machine Learning, and Communications in an Unmanned Surface VehicleProceedings of Transport Research Arena TRA, 2020
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Photonic Recurrent Neural Networks with Gating CircuitIn Conference on Lasers and Electro-Optics (CLEO), 2020
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Improving Universal Style Transfer using Sub-style DecompositionIn Hellenic Conference on Artificial Intelligence, 2020
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Multilayer probabilistic knowledge transfer for learning image representationsIn IEEE International Symposium on Circuits and Systems (ISCAS), 2020
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Different color spaces in deep learning-based water segmentation for autonomous marine operationsIn IEEE International Conference on Image Processing (ICIP), 2020
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Efficient Adaptive Inference Leveraging Bag-of-Features-based Early ExitsIn IEEE International Workshop on Multimedia Signal Processing (MMSP), 2020
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Leveraging Active Perception for Improving Embedding-based Deep Face RecognitionIn IEEE International Workshop on Multimedia Signal Processing (MMSP), 2020
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Improving Deep Reinforcement Learning for Financial Trading Using Neural Network DistillationIn IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2020
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Global Adaptive Input Normalization for Short-Term Electric Load ForecastingIn IEEE Symposium Series on Computational Intelligence (SSCI), 2020
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Time-series classification with an all-optical recurrent neuronIn European Conference on Optical Communications (ECOC), 2020
2019
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Experimental demonstration of an optical neuron with a logistic Sigmoid activation functionIn Optical Fiber Communication Conference, 2019
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Deep temporal logistic bag-of-features for forecasting high frequency limit order book time seriesIn International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
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Deep reinforcement learning for financial trading using price trailingIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
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Variance preserving initialization for training deep neuromorphic photonic networks with sinusoidal activationsIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
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Reversible privacy preservation using multi-level encryption and compressive sensingIn European Signal Processing Conference (EUSIPCO), 2019
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Face verification and recognition for digital forensics and information securityIn International Symposium on Digital Forensics and Security (ISDFS), 2019
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Adaptive inference using hierarchical convolutional bag-of-features for low-power embedded platformsIn IEEE International Conference on Image Processing (ICIP), 2019
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Class-based variational representation learning for robust image retrievalIn IEEE International Conference on Image Processing (ICIP), 2019
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High-resolution water segmentation for autonomous unmanned surface vehicles: a novel dataset and evaluationIn IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019
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Curriculum-based teacher ensemble for robust neural network distillationIn European Signal Processing Conference (EUSIPCO), 2019
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Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social MediaIn IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019
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A linear photonic neuron using an extended iq modulator cell for enabling all-optical coherent sigmoid neuronsIn European Conference on Optical Communication (ECOC), 2019
2018
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Visual question answering using explicit visual attentionIn IEEE International Symposium on Circuits and Systems (ISCAS), 2018
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Efficient camera control using 2D visual information for unmanned aerial vehicle-based cinematographyIn IEEE International Symposium on Circuits and Systems (ISCAS), 2018
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Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality ReductionIn IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018
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Decoding Generic Visual Representations from Human Brain Activity Using Machine LearningIn European Conference on Computer Vision (ECCV) Workshops, 2018
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Neural Network Knowledge Transfer using Unsupervised Similarity MatchingIn International Conference on Pattern Recognition (ICPR), 2018
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Fast, visual and interactive semi-supervised dimensionality reductionIn European Conference on Computer Vision (ECCV) Workshops, 2018
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Accelerating Similarity-Based Discriminant Analysis Using Class-Specific PrototypesIn IEEE International Conference on Image Processing (ICIP), 2018
2017
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Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic OptimizationIn International Conference on Engineering Applications of Neural Networks (EANN), 2017
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Forecasting stock prices from the limit order book using convolutional neural networksIn IEEE Conference on Business Informatics (CBI), 2017
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Using deep learning to detect price change indications in financial marketsIn European Signal Processing Conference (EUSIPCO), 2017
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Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shootingIn European Signal Processing Conference (EUSIPCO), 2017
2016
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Spectral clustering using optimized bag-of-featuresIn Hellenic Conference on Artificial Intelligence, 2016
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Spatial bag of features learning for large scale face image retrievalIn INNS Conference on Big Data, 2016
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Bag of Embedded Words learning for text retrievalIn International Conference on Pattern Recognition (ICPR), 2016
2015
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Multispot: Spotting sentiments with semantic aware multilevel cascaded analysisIn International Conference on Big Data Analytics and Knowledge Discovery, 2015