Semantics-Empowered Communication: A Tutorial-cum-Survey
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[1] E. Hossain,et al. NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services , 2023, ArXiv.
[2] Xiaofeng Tao,et al. Model division multiple access for semantic communications , 2023, Frontiers of Information Technology & Electronic Engineering.
[3] Henrique Pondé de Oliveira Pinto,et al. GPT-4 Technical Report , 2023, 2303.08774.
[4] Chenfei Wu,et al. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models , 2023, ArXiv.
[5] Rongpeng Li,et al. Knowledge Enhanced Semantic Communication Receiver , 2023, IEEE Communications Letters.
[6] F. Gao,et al. Vision Aided Environment Semantics Extraction and Its Application in mmWave Beam Selection , 2023, IEEE Communications Letters.
[7] F. Gao,et al. Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction , 2023, IEEE Journal on Selected Areas in Communications.
[8] F. Gao,et al. A Generalized Semantic Communication System: From Sources to Channels , 2023, IEEE Wireless Communications.
[9] M. Debbah,et al. Less Data, More Knowledge: Building Next Generation Semantic Communication Networks , 2022, IEEE Communications Surveys & Tutorials.
[10] M. Bennis,et al. Goal-Oriented Communications for the IoT and Application to Data Compression , 2022, IEEE Internet of Things Magazine.
[11] Guanding Yu,et al. A Unified Multi-Task Semantic Communication System for Multimodal Data , 2022, IEEE Transactions on Communications.
[12] O. Dobre,et al. Few-Shot Learning UAV Recognition Methods Based on the Tri-Residual Semantic Network , 2022, IEEE Communications Letters.
[13] R. Shokri,et al. Data Privacy and Trustworthy Machine Learning , 2022, IEEE Security & Privacy.
[14] Siheng Chen,et al. Collaborative Perception for Autonomous Driving: Current Status and Future Trend , 2022, ArXiv.
[15] W. Saad,et al. Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach , 2022, IEEE Journal on Selected Areas in Communications.
[16] B. Natarajan,et al. Engineering Semantic Communication: A Survey , 2022, IEEE Access.
[17] Xiaoming Tao,et al. Toward Semantic Communications: Deep Learning-Based Image Semantic Coding , 2022, IEEE Journal on Selected Areas in Communications.
[18] Dong In Kim,et al. Economics of Semantic Communication System: An Auction Approach , 2022, IEEE Transactions on Vehicular Technology.
[19] Lei Cui,et al. A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning , 2022, ACM Comput. Surv..
[20] Rongpeng Li,et al. Contrastive Monotonic Pixel-Level Modulation , 2022, ECCV.
[21] Praveen Kumar Reddy Maddikunta,et al. Autonomous Vehicles in 5G and Beyond: A Survey , 2022, Veh. Commun..
[22] J. Shah,et al. Towards Human-Agent Communication via the Information Bottleneck Principle , 2022, ArXiv.
[23] O. Simeone,et al. Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference , 2022, IEEE Transactions on Cognitive Communications and Networking.
[24] Wei Yang Bryan Lim,et al. Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges , 2022, IEEE Communications Surveys & Tutorials.
[25] Derrick Wing Kwan Ng,et al. Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing , 2022, IEEE Journal of Selected Topics in Signal Processing.
[26] Zhongwei Si,et al. Wireless Deep Video Semantic Transmission , 2022, IEEE Journal on Selected Areas in Communications.
[27] Tian Han,et al. Semantic-Preserved Communication System for Highly Efficient Speech Transmission , 2022, IEEE Journal on Selected Areas in Communications.
[28] Mingzhe Chen,et al. Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks , 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[29] W. Saad,et al. Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication , 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
[30] Geoffrey Y. Li,et al. Deep Learning Enabled Semantic Communications With Speech Recognition and Synthesis , 2022, IEEE Transactions on Wireless Communications.
[31] L. Dai,et al. Demo: Real-Time Semantic Communications with a Vision Transformer , 2022, 2022 IEEE International Conference on Communications Workshops (ICC Workshops).
[32] K. Letaief,et al. Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data , 2022, IEEE Journal on Selected Areas in Communications.
[33] Caili Guo,et al. Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications , 2022, 2204.08910.
[34] Honggang Zhang,et al. Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ , 2022, IEEE Open Journal of the Communications Society.
[35] Pawan Meena,et al. 6G Communication Networks: Introduction, Vision, Challenges, and Future Directions , 2022, Wireless Personal Communications.
[36] Xinyuan Zhang,et al. Cognitive Semantic Communication Systems Driven by Knowledge Graph , 2022, ICC 2022 - IEEE International Conference on Communications.
[37] K. B. Letaief,et al. Semantic Communication Meets Edge Intelligence , 2022, IEEE Wireless Communications.
[38] Shuaishuai Guo,et al. Signal Shaping for Semantic Communications , 2022 .
[39] Xu Zhang,et al. Rate-Distortion Theory for Strategic Semantic Communication , 2022, 2022 IEEE Information Theory Workshop (ITW).
[40] Wali Ullah Khan,et al. A Survey on Semantic Communications for Intelligent Wireless Networks , 2022, Wireless Personal Communications.
[41] Jiming Chen,et al. Wireless Transmission of Images with the Assistance of Multi-level Semantic Information , 2022, 2022 International Symposium on Wireless Communication Systems (ISWCS).
[42] Guanding Yu,et al. Robust Semantic Communications Against Semantic Noise , 2022, 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall).
[43] M. Bennis,et al. Life-long Learning for Reasoning-based Semantic Communication , 2022, 2022 IEEE International Conference on Communications Workshops (ICC Workshops).
[44] H. V. Poor,et al. Reasoning on the Air: An Implicit Semantic Communication Architecture , 2022, 2022 IEEE International Conference on Communications Workshops (ICC Workshops).
[45] Yang Wang,et al. Signal Shaping for Semantic Communication Systems with A Few Message Candidates , 2022, 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall).
[46] Qing Guo,et al. Semantic Communications: Overview, Open Issues, and Future Research Directions , 2022, IEEE Wireless Communications.
[47] Caili Guo,et al. Semantic-assisted image compression , 2022, ArXiv.
[48] Md. Jalil Piran,et al. Learning-Driven Lossy Image Compression; A Comprehensive Survey , 2022, Engineering Applications of Artificial Intelligence.
[49] Seng W. Loke,et al. A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach , 2022, 2022 IEEE International Conference on Communications Workshops (ICC Workshops).
[50] Geoffrey Y. Li,et al. Semantic Communications: Principles and Challenges , 2021, ArXiv.
[51] F. Richard Yu,et al. Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems , 2021, IEEE Transactions on Communications.
[52] K. B. Letaief,et al. Task-Oriented Multi-User Semantic Communications , 2021, IEEE Journal on Selected Areas in Communications.
[53] W. Saad,et al. Performance Optimization for Semantic Communications: An Attention-based Learning Approach , 2021, 2021 IEEE Global Communications Conference (GLOBECOM).
[54] Xiaoming Tao,et al. Deep Learning-Based Image Semantic Coding for Semantic Communications , 2021, 2021 IEEE Global Communications Conference (GLOBECOM).
[55] Deniz Gündüz,et al. DeepWiVe: Deep-Learning-Aided Wireless Video Transmission , 2021, IEEE Journal on Selected Areas in Communications.
[56] W. Saad,et al. Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks , 2021, ICC 2022 - IEEE International Conference on Communications.
[57] M. Debbah,et al. Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework , 2021, ICC 2022 - IEEE International Conference on Communications.
[58] Federico Chiariotti,et al. Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value , 2021, ArXiv.
[59] Guna Sekhar Sajja,et al. Systematic review of smart health monitoring using deep learning and Artificial intelligence , 2021, Neuroscience Informatics.
[60] Bin He,et al. Blockchain-Enhanced Spatiotemporal Data Aggregation for UAV-Assisted Wireless Sensor Networks , 2021, IEEE Transactions on Industrial Informatics.
[61] Xianfu Chen,et al. Rethinking Modern Communication from Semantic Coding to Semantic Communication , 2021, IEEE Wireless Communications.
[62] Emilio Calvanese Strinati,et al. Learning Semantics: An Opportunity for Effective 6G Communications , 2021, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).
[63] Hun-Seok Kim,et al. Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control , 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[64] Mohsen Guizani,et al. A survey on 5G/6G, AI, and Robotics , 2021, Comput. Electr. Eng..
[65] Petar Popovski,et al. What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence , 2021, J. Commun. Inf. Networks.
[66] Kim-Kwang Raymond Choo,et al. Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles , 2021, IEEE Internet of Things Journal.
[67] Caili Guo,et al. Semantic Communications With AI Tasks , 2021, ArXiv.
[68] W. Saad,et al. Federated Learning for Audio Semantic Communication , 2021, Frontiers in Communications and Networks.
[69] Yuyi Mao,et al. Task-Oriented Communication for Multidevice Cooperative Edge Inference , 2021, IEEE Transactions on Wireless Communications.
[70] Xianfu Chen,et al. Reinforcement Learning-powered Semantic Communication via Semantic Similarity , 2021, ArXiv.
[71] R. Timofte,et al. Learning Context-Based Nonlocal Entropy Modeling for Image Compression , 2021, IEEE Transactions on Neural Networks and Learning Systems.
[72] Zhifeng Zhao,et al. Semantic Communication With Adaptive Universal Transformer , 2021, IEEE Wireless Communications Letters.
[73] Huiqiang Xie,et al. Task-Oriented Multi-User Semantic Communications for VQA , 2021, IEEE Wireless Communications Letters.
[74] M. Kountouris,et al. Goal-Oriented Communication For Real-Time Tracking In Autonomous Systems , 2021, 2021 IEEE International Conference on Autonomous Systems (ICAS).
[75] Joan S. Pujol Roig,et al. Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning Over Noisy Channels , 2021, IEEE Journal on Selected Areas in Communications.
[76] I. Stefaniak,et al. Detecting formal thought disorder by deep contextualized word representations , 2021, Psychiatry Research.
[77] Quan Yuan,et al. GraphComm: Efficient Graph Convolutional Communication for Multiagent Cooperation , 2021, IEEE Internet of Things Journal.
[78] Gordon Owusu Boateng,et al. Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network , 2021, IEEE Transactions on Network and Service Management.
[79] Alison Q. O'Neil,et al. Survey: Leakage and Privacy at Inference Time , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[80] Geoffrey Y. Li,et al. Deep Source-Channel Coding for Sentence Semantic Transmission With HARQ , 2021, IEEE Transactions on Communications.
[81] Mehdi Bennis,et al. Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication , 2021, 2021 17th International Symposium on Wireless Communication Systems (ISWCS).
[82] A. Wiesel,et al. Conditional Frechet Inception Distance , 2021, ArXiv.
[83] K. Johansson,et al. Semantic Communications in Networked Systems: A Data Significance Perspective , 2021, IEEE Network.
[84] Hideaki Kimata,et al. GAN-Based Image Compression Using Mutual Information for Optimizing Subjective Image Similarity , 2021, IEICE Trans. Inf. Syst..
[85] Zhijin Qin,et al. Semantic Communication Systems for Speech Transmission , 2021, IEEE Journal on Selected Areas in Communications.
[86] S. Chatzinotas,et al. Task-Oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications , 2021, IEEE Access.
[87] Karen Spärck Jones. A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.
[88] Tie Qiu,et al. Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach , 2021, IEEE Journal on Selected Areas in Communications.
[89] Guangming Shi,et al. A new communication paradigm: from bit accuracy to semantic fidelity , 2021, ArXiv.
[90] Shuguang Cui,et al. Federated Learning for 6G: Applications, Challenges, and Opportunities , 2021, Engineering.
[91] Bin Han,et al. The Road Towards 6G: A Comprehensive Survey , 2021, IEEE Open Journal of the Communications Society.
[92] A. Ephremides,et al. The Age of Incorrect Information: An Enabler of Semantics-Empowered Communication , 2020, IEEE Transactions on Wireless Communications.
[93] Yunsong Li,et al. Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression , 2020, Remote. Sens..
[94] Xi Wang,et al. A survey on the development status and application prospects of knowledge graph in smart grids , 2020, IET Generation, Transmission & Distribution.
[95] B. Ai,et al. Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules , 2020, IEEE Transactions on Circuits and Systems for Video Technology.
[96] Bo Liu,et al. When Machine Learning Meets Privacy , 2020, ACM Comput. Surv..
[97] Sergio Barbarossa,et al. 6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications , 2020, Comput. Networks.
[98] Jure Leskovec,et al. Graph Information Bottleneck , 2020, NeurIPS.
[99] Zhiting Hu,et al. A Survey of Knowledge-enhanced Text Generation , 2020, ACM Comput. Surv..
[100] Deniz Gündüz,et al. Bandwidth-Agile Image Transmission With Deep Joint Source-Channel Coding , 2020, IEEE Transactions on Wireless Communications.
[101] Raquel Urtasun,et al. V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction , 2020, ECCV.
[102] Marios Kountouris,et al. Semantics-Empowered Communication for Networked Intelligent Systems , 2020, IEEE Communications Magazine.
[103] Deniz Gündüz,et al. Wireless Image Retrieval at the Edge , 2020, IEEE Journal on Selected Areas in Communications.
[104] Zhijin Qin,et al. A Lite Distributed Semantic Communication System for Internet of Things , 2020, IEEE Journal on Selected Areas in Communications.
[105] Víctor P. Gil Jiménez,et al. MmWave massive MIMO small cells for 5G and beyond mobile networks: An overview , 2020, 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).
[106] Roy D. Yates,et al. Age of Information: An Introduction and Survey , 2020, IEEE Journal on Selected Areas in Communications.
[107] Zhe Gan,et al. CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information , 2020, ICML.
[108] Pieter Abbeel,et al. Denoising Diffusion Probabilistic Models , 2020, NeurIPS.
[109] Geoffrey Ye Li,et al. Deep Learning Enabled Semantic Communication Systems , 2020, IEEE Transactions on Signal Processing.
[110] Mohamed Elhoseny,et al. Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks , 2020, Phys. Commun..
[111] Yen-Cheng Liu,et al. When2com: Multi-Agent Perception via Communication Graph Grouping , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[112] Nicolas Usunier,et al. End-to-End Object Detection with Transformers , 2020, ECCV.
[113] David Burth Kurka,et al. Deep Joint Source-Channel Coding of Images with Feedback , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[114] Gokhan Pekcan,et al. Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review , 2020, Sensors.
[115] Geoffrey Ye Li,et al. Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems , 2020, IEEE Communications Letters.
[116] Abhijith Punnappurath,et al. Learning Raw Image Reconstruction-Aware Deep Image Compressors , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[117] Jiashi Feng,et al. Strip Pooling: Rethinking Spatial Pooling for Scene Parsing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[118] Yen-Cheng Liu,et al. Who2com: Collaborative Perception via Learnable Handshake Communication , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[119] Matthew E. Taylor,et al. Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey , 2020, J. Mach. Learn. Res..
[120] Weitong Chen,et al. Deep learning for heterogeneous medical data analysis , 2020, World Wide Web.
[121] Joonhyuk Kang,et al. End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning , 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
[122] Yan Zhang,et al. Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[123] Xiaojun Chen,et al. A review: Knowledge reasoning over knowledge graph , 2020, Expert Syst. Appl..
[124] Shi Jin,et al. Model-Driven Deep Learning for MIMO Detection , 2020, IEEE Transactions on Signal Processing.
[125] Michael I. Jordan,et al. Decision-Making with Auto-Encoding Variational Bayes , 2020, NeurIPS.
[126] Philip S. Yu,et al. A Survey on Knowledge Graphs: Representation, Acquisition, and Applications , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[127] Victor Talpaert,et al. Deep Reinforcement Learning for Autonomous Driving: A Survey , 2020, IEEE Transactions on Intelligent Transportation Systems.
[128] Zhu Han,et al. Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach , 2020, IEEE Transactions on Intelligent Transportation Systems.
[129] Sameer Qazi,et al. Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios , 2020, IEEE Access.
[130] Karl Henrik Johansson,et al. Scheduling networked state estimators based on Value of Information , 2019, Autom..
[131] Branka Vucetic,et al. Real-Time Wireless Networked Control Systems with Coding-Free Data Transmission , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[132] Khaled Ben Letaief,et al. Age-Based Utility Maximization for Wireless Powered Networks: A Stackelberg Game Approach , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[133] Deniz Gündüz,et al. Deep Joint Source-Channel Coding for Wireless Image Retrieval , 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[134] Wei Yang Bryan Lim,et al. Federated Learning in Mobile Edge Networks: A Comprehensive Survey , 2019, IEEE Communications Surveys & Tutorials.
[135] Erich Elsen,et al. High Fidelity Speech Synthesis with Adversarial Networks , 2019, ICLR.
[136] M. A. Rahman,et al. The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment , 2019, IEEE Access.
[137] Chengqing Li,et al. Multi-Channel Deep Networks for Block-Based Image Compressive Sensing , 2019, IEEE Transactions on Multimedia.
[138] Branka Vucetic,et al. Wireless Networked Control Systems With Coding-Free Data Transmission for Industrial IoT , 2019, IEEE Internet of Things Journal.
[139] Anthony Ephremides,et al. The Age of Incorrect Information: A New Performance Metric for Status Updates , 2019, IEEE/ACM Transactions on Networking.
[140] Pingyi Fan,et al. Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System , 2019, IEEE Internet of Things Journal.
[141] Xianfu Chen,et al. GAN-Based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[142] Walid Saad,et al. Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-Assisted Networks , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[143] Honggang Zhang,et al. Internet of Intelligence: The Collective Advantage for Advancing Communications and Intelligence , 2019, 1905.00719.
[144] Mirella Lapata,et al. Text Generation from Knowledge Graphs with Graph Transformers , 2019, NAACL.
[145] Wolfgang Kellerer,et al. Age-of-information vs. value-of-information scheduling for cellular networked control systems , 2019, ICCPS.
[146] Mohammad Shorif Uddin,et al. Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study , 2019, Journal of Computer and Communications.
[147] Jakob Hoydis,et al. Model-Free Training of End-to-End Communication Systems , 2018, IEEE Journal on Selected Areas in Communications.
[148] Geoffrey Ye Li,et al. ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers , 2018, IEEE Communications Letters.
[149] David Burth Kurka,et al. Deep Joint Source-Channel Coding for Wireless Image Transmission , 2018, IEEE Transactions on Cognitive Communications and Networking.
[150] Vishnu Raj,et al. Backpropagating Through the Air: Deep Learning at Physical Layer Without Channel Models , 2018, IEEE Communications Letters.
[151] Biing-Hwang Juang,et al. Deep Learning in Physical Layer Communications , 2018, IEEE Wireless Communications.
[152] Inaki Estella Aguerri,et al. Distributed Variational Representation Learning , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[153] Lukasz Kaiser,et al. Universal Transformers , 2018, ICLR.
[154] Biing-Hwang Juang,et al. Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).
[155] Bin Yao,et al. ACV-tree: A New Method for Sentence Similarity Modeling , 2018, IJCAI.
[156] Zongqing Lu,et al. Learning Attentional Communication for Multi-Agent Cooperation , 2018, NeurIPS.
[157] Xianfu Chen,et al. Deep Reinforcement Learning for Resource Management in Network Slicing , 2018, IEEE Access.
[158] Timothy J. O'Shea,et al. Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks , 2018, 2019 International Conference on Computing, Networking and Communications (ICNC).
[159] Timothy J. O'Shea,et al. Learning a Physical Layer Scheme for the MIMO Interference Channel , 2018, 2018 IEEE International Conference on Communications (ICC).
[160] Jiro Katto,et al. Deep Convolutional AutoEncoder-based Lossy Image Compression , 2018, 2018 Picture Coding Symposium (PCS).
[161] L. Gool,et al. Generative Adversarial Networks for Extreme Learned Image Compression , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[162] Jakob Hoydis,et al. End-to-End Learning of Communications Systems Without a Channel Model , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.
[163] Shimon Whiteson,et al. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning , 2018, ICML.
[164] Andrea J. Goldsmith,et al. Deep Learning for Joint Source-Channel Coding of Text , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[165] Arthur Gretton,et al. Demystifying MMD GANs , 2018, ICLR.
[166] Shi Jin,et al. Deep Learning for Massive MIMO CSI Feedback , 2017, IEEE Wireless Communications Letters.
[167] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[168] Timothy J. O'Shea,et al. Deep Learning Based MIMO Communications , 2017, ArXiv.
[169] Wolfgang Utschick,et al. Learning the MMSE Channel Estimator , 2017, IEEE Transactions on Signal Processing.
[170] Stephan ten Brink,et al. Deep Learning Based Communication Over the Air , 2017, IEEE Journal of Selected Topics in Signal Processing.
[171] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[172] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[173] Yixin Zhong,et al. A theory of semantic information , 2017, China Communications.
[174] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[175] D. Zighed,et al. Sentence similarity based on semantic kernels for intelligent text retrieval , 2017, Journal of Intelligent Information Systems.
[176] Lubomir D. Bourdev,et al. Real-Time Adaptive Image Compression , 2017, ICML.
[177] Sofie Pollin,et al. Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity , 2017, IEEE Transactions on Communications.
[178] Yan Chen,et al. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence , 2017, IEEE Wireless Communications.
[179] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[180] Lucas Theis,et al. Lossy Image Compression with Compressive Autoencoders , 2017, ICLR.
[181] Jakob Hoydis,et al. An Introduction to Deep Learning for the Physical Layer , 2017, IEEE Transactions on Cognitive Communications and Networking.
[182] James A. Storer,et al. Semantic Perceptual Image Compression Using Deep Convolution Networks , 2016, 2017 Data Compression Conference (DCC).
[183] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[184] Siqi Liu,et al. Improved Image Captioning via Policy Gradient optimization of SPIDEr , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[185] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[186] David Minnen,et al. Full Resolution Image Compression with Recurrent Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[187] Alex Graves,et al. Adaptive Computation Time for Recurrent Neural Networks , 2016, ArXiv.
[188] Jun Zhao,et al. Knowledge Graph Completion with Adaptive Sparse Transfer Matrix , 2016, AAAI.
[189] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[190] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[191] Valero Laparra,et al. Density Modeling of Images using a Generalized Normalization Transformation , 2015, ICLR.
[192] Yu Hao,et al. TransG : A Generative Mixture Model for Knowledge Graph Embedding , 2015, ArXiv.
[193] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[194] Anxiao Jiang,et al. Error correction through language processing , 2015, 2015 IEEE Information Theory Workshop (ITW).
[195] Fumiyuki Adachi,et al. The Application of MIMO to Non-Orthogonal Multiple Access , 2015, IEEE Transactions on Wireless Communications.
[196] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[197] M. S. Lawton. Hangzhou , 2014, Nature.
[198] C. Lawrence Zitnick,et al. CIDEr: Consensus-based image description evaluation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[199] Trevor Darrell,et al. Fully convolutional networks for semantic segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[200] Aaron C. Courville,et al. Generative Adversarial Nets , 2014, NIPS.
[201] Marian Codreanu,et al. Age of information with packet management , 2014, 2014 IEEE International Symposium on Information Theory.
[202] Aylin Yener,et al. Semantic index assignment , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).
[203] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[204] David Ellerman,et al. An Introduction to Logical Entropy and its Relation to Shannon Entropy , 2013, Int. J. Semantic Comput..
[205] W. J. Baker,et al. A History of the Marconi Company 1874-1965 , 2013 .
[206] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[207] Xianfu Chen,et al. TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks , 2012, IEEE Transactions on Wireless Communications.
[208] Oded Goldreich,et al. A theory of goal-oriented communication , 2012, JACM.
[209] David Zhang,et al. FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[210] James A. Hendler,et al. Towards a theory of semantic communication , 2011, 2011 IEEE Network Science Workshop.
[211] Simon D'Alfonso,et al. On Quantifying Semantic Information , 2011, Inf..
[212] Chaofeng Li,et al. Three-component weighted structural similarity index , 2009, Electronic Imaging.
[213] Brendan A. Juba,et al. Universal semantic communication I , 2008, Electron. Colloquium Comput. Complex..
[214] Cristian S. Calude. The mathematical theory of information , 2007 .
[215] Rémi Gribonval,et al. Performance measurement in blind audio source separation , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[216] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[217] Luciano Floridi,et al. Outline of a Theory of Strongly Semantic Information , 2004, Minds and Machines.
[218] Shlomo Shamai,et al. On joint source-channel coding for the Wyner-Ziv source and the Gel'fand-Pinsker channel , 2003, IEEE Trans. Inf. Theory.
[219] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[220] Andries P. Hekstra,et al. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[221] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[222] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[223] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[224] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[225] Philip Resnik,et al. Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.
[226] Joseph M. Francos,et al. Estimation of amplitude and phase parameters of multicomponent signals , 1995, IEEE Trans. Signal Process..
[227] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[228] Gregory K. Wallace,et al. The JPEG still picture compression standard , 1991, CACM.
[229] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[230] J. Sobel,et al. STRATEGIC INFORMATION TRANSMISSION , 1982 .
[231] C. Chen,et al. Stackelburg solution for two-person games with biased information patterns , 1972 .
[232] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[233] Zhiquan Liu,et al. Privacy-Preserving and Byzantine-Robust Federated Learning , 2024, IEEE Transactions on Dependable and Secure Computing.
[234] Wei Yang Bryan Lim,et al. Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges , 2022, ArXiv.
[235] Fangfang Liu,et al. Task-Oriented Semantic Communication Systems Based on Extended Rate-Distortion Theory , 2022, ArXiv.
[236] Mehdi Bennis,et al. Semantics-Native Communication with Contextual Reasoning , 2021, ArXiv.
[237] Yangchao Huang,et al. Energy Efficiency Optimization of Cognitive UAV-Assisted Edge Communication for Semantic Internet of Things , 2021, Wirel. Commun. Mob. Comput..
[238] Rose Qingyang Hu,et al. Challenges and Solutions for Cellular Based V2X Communications , 2021, IEEE Communications Surveys & Tutorials.
[239] Yulei Wu,et al. A Comprehensive Survey , 2020, Accountability and Privacy in Network Security.
[240] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[241] Alec Radford,et al. Improving Language Understanding by Generative Pre-Training , 2018 .
[242] Alexander A. Alemi,et al. Deep Variational Information Bottleneck , 2017, ICLR.
[243] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[244] Nando de Freitas,et al. Learning to Perform Physics Experiments via Deep Reinforcement Learning , 2016, ICLR.
[245] Miodrag Raskovic,et al. Probability Logics , 2016, Springer International Publishing.
[246] Weiming Zhang,et al. Semantic image compression based on data hiding , 2015, IET Image Process..
[247] Philipos C. Loizou,et al. Speech Quality Assessment , 2011, Multimedia Analysis, Processing and Communications.
[248] Claude E. Shannon,et al. Recent Contributions to The Mathematical Theory of Communication , 2009 .
[249] Patrick F. Reidy. An Introduction to Latent Semantic Analysis , 2009 .
[250] R. P. Suri,et al. Introduction to Prolog , 2007 .
[251] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[252] Majid Rabbani,et al. An overview of the JPEG 2000 still image compression standard , 2002, Signal Process. Image Commun..
[253] Roy Rada,et al. Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..
[254] T. Başar,et al. Dynamic Noncooperative Game Theory , 1982 .
[255] Jaakko Hintikka,et al. On Semantic Information , 1970 .
[256] Rudolf Carnap,et al. An outline of a theory of semantic information , 1952 .
[257] C. K. Ogden,et al. The meaning of meaning: A study of the influence of thought and of the science of symbolism , 1923 .