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09/19/2023
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission
Joint source and channel coding (JSCC) has attracted increasing attentio...
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09/15/2023
Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck
Current privacy-aware joint source-channel coding (JSCC) works aim at av...
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08/08/2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Consider a setting in which devices and a server share a pre-trained mod...
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05/26/2023
Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
Image-Text Retrieval (ITR) is essentially a ranking problem. Given a que...
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03/01/2023
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Recently, a series of Image-Text Matching (ITM) methods achieve impressi...
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12/19/2022
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access
Type-based multiple access (TBMA) is a semantics-aware multiple access p...
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10/20/2022
Image-Text Retrieval with Binary and Continuous Label Supervision
Most image-text retrieval work adopts binary labels indicating whether a...
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09/28/2022
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval
There are two popular loss functions used for vision-language retrieval,...
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03/12/2022
Adaptive Information Bottleneck Guided Joint Source-Channel Coding
Joint source channel coding (JSCC) has attracted increasing attentions d...
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01/29/2022
Semantic-assisted image compression
Conventional image compression methods typically aim at pixel-level cons...
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01/26/2022
Task-Oriented Semantic Communication Systems Based on Extended Rate-Distortion Theory
Considering the performance of intelligent task during signal exchange c...
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11/26/2021
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction
Predicting the plausible future trajectories of nearby agents is a core ...
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09/29/2021
Semantic Communications With AI Tasks
A radical paradigm shift of wireless networks from “connected things” to...
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03/05/2021
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems
Limited radio frequency (RF) resources restrict the number of users that...
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09/28/2020
A Content Driven Resource Allocation Scheme for Video Transmission in Vehicular Networks
With the growing computer vision applications, lots of videos are transm...
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08/14/2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
In this paper, we investigate the computational resource allocation prob...
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06/16/2020
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Video retrieval is a challenging research topic bridging the vision and ...
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04/20/2020
A Generalized Dimming Control Scheme for Visible Light Communications
A novel dimming control scheme, termed as generalized dimming control (G...
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12/18/2019
Multi-Agent Deep Reinforcement Learning based Spectrum Allocation for D2D Underlay Communications
Device-to-device (D2D) communication underlay cellular networks is a pro...
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05/10/2019
Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)
A novel approach that combines visible light communication (VLC) with un...
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04/14/2019
A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications
Device-to-device (D2D) communication has been recognized as a promising ...
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04/14/2019
