Concepedia

Tze-Yang Tung

TT

11

Publications

764

Citations

10

H-Index

2018

Active since

Affiliations

Imperial College London(Current)

University of Southern California

Tze-Yang Tung is an author at Imperial College London specializing in engineering, deep learning, and computer engineering.

Top concepts

EngineeringDeep LearningComputer ScienceMachine LearningComputer EngineeringCoding TheoryComputer VisionSignal ProcessingChannel CodingDeep Neural Networks

Publications per year

2018–2024

11

Publications

11

DeepWiVe: Deep-Learning-Aided Wireless Video Transmission

Tze-Yang Tung, Denız Gündüz · IEEE Journal on Selected Areas in Communications · 2022 · 170 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +11

Generative Joint Source-Channel Coding for Semantic Image Transmission

Ecenaz Erdemir, Tze-Yang Tung, Pier Luigi Dragotti et al. · IEEE Journal on Selected Areas in Communications · 2023 · 132 citations · Full text

Semantic Image Transmission, Distributed Source Coding, Deep Neural Networks +14

DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding

Tze-Yang Tung, David Burth Kurka, Mikołaj Jankowski et al. · IEEE Journal on Selected Areas in Information Theory · 2022 · 104 citations

Distributed Source Coding, Convolutional Neural Network, Deep Neural Networks +13

Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels

Tze-Yang Tung, Szymon Kobus, Joan S. Pujol Roig et al. · IRIS UNIMORE (University of Modena and Reggio Emilia) · 2021 · 97 citations · Full text

Deep Joint Source-Channel Coding for Semantic Communications

Jialong Xu, Tze-Yang Tung, Bo Ai et al. · IEEE Communications Magazine · 2023 · 96 citations

Distributed Source Coding, Wireless Communications, Channel Coding Schemes +15

Rows per page

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