Information Theory and Signal Processing Lab
Information Theory and Signal Processing Lab
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Jincheng Dai
Supervisor
Interests
Semantic communications
source and channel coding
machine learning for communications
Semantic communication
Latest
Variational Speech Waveform Compression to Catalyze Semantic Communications
Adaptive Semantic Communications: Overfitting the Source and Channel for Profit
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Resolution-Adaptive Source-Channel Coding for End-to-End Wireless Image Transmission
Versatile Semantic Coded Transmission over MIMO Fading Channels
Wireless Deep Speech Semantic Transmission
WITT: A Wireless Image Transmission Transformer for Semantic Communications
Nonlinear Transform Source-Channel Coding for Semantic Communications
A Paradigm Shift toward Semantic Communications
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding
Performance Bounds of Coded Slotted ALOHA Over Erasure Channels
Semantic Coding for Text Transmission: An Iterative Design
Distributed Joint Source-Channel Polar Coding
Joint Source-Channel Polar-Coded Modulation
Joint Successive Cancellation List Decoding for the Double Polar Codes
Nonlinear Transform Source-Channel Coding for Semantic Communications
Performance and Construction of Polar Codes The Perspective of Bit Error Probability
Joint Source-Channel Coding for 6G Communications
Transformer-Based Detector for OFDM With Index Modulation
Unsourced Multiple Access for 6G Massive Machine Type Communications
Distributed Image Transmission using Deep Joint Source-Channel Coding
A Novel Deep Learning Architecture for Wireless Image Transmission
Multilevel Polar-Coded Modulation Performance Analysis and Code Construction
Neural Joint Source-Channel Decoding using Arithmetic Codes
Generalized Polarization Transform A Novel Coded Transmission Paradigm
Polar-Precoding A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems
Deep Learning Methods for Channel Decoding A Brief Tutorial
Fast Construction of Bit-Interleaved Polar-Coded Modulation
NEURAL LAYERED MIN-SUM DECODING FOR PROTOGRAPH LDPC CODES
Construction of Systematic Polar Codes BER Optimization Perspective
Asynchronous Polar-Coded MIMO
On the Self-Decoding of Polar-Coded HARQ
Polar-Coded Spatial Modulation
Learning to Decode Protograph LDPC Codes
Progressive Rate-Filling A Framework for Agile Construction of Multilevel Polar-Coded Modulation
ResNet-Like Belief-Propagation Decoding for Polar Codes
Block Polarization HARQ for Polar-Coded Modulation
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