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07/24/2023
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
Graph neural networks (GNNs) update the hidden representations of vertic...
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07/19/2023
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
LLMs have shown promise in replicating human-like behavior in crowdsourc...
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05/06/2023
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling
Long patch validation time is a limiting factor for automated program re...
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03/30/2023
Understanding the Usability of AI Programming Assistants
The software engineering community recently has witnessed widespread dep...
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12/01/2022
A Model-based GNN for Learning Precoding
Learning precoding policies with neural networks enables low complexity ...
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11/11/2022
Capabilities for Better ML Engineering
In spite of machine learning's rapid growth, its engineering support is ...
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09/07/2022
Data Leakage in Notebooks: Static Detection and Better Processes
Data science pipelines to train and evaluate models with machine learnin...
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03/08/2022
Graph Reinforcement Learning for Predictive Power Allocation to Mobile Users
Allocating resources with future channels can save resource to ensure qu...
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03/07/2022
Privacy Leakage in Proactive VR Streaming: Modeling and Tradeoff
Proactive tile-based virtual reality (VR) video streaming employs the vi...
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10/28/2021
Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes
Data packet routing in aeronautical ad-hoc networks (AANETs) is challeng...
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10/20/2021
FoV Privacy-aware VR Streaming
Proactive tile-based virtual reality (VR) video streaming can use the tr...
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04/29/2021
Spatial Privacy-aware VR streaming
Proactive tile-based virtual reality (VR) video streaming employs the cu...
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04/20/2021
Privacy-aware VR streaming
Proactive tile-based virtual reality (VR) video streaming employs the cu...
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02/10/2021
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
Deep reinforcement learning has been applied for a variety of wireless t...
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01/03/2021
Duration-Squeezing-Aware Communication and Computing for Proactive VR
Proactive tile-based virtual reality video streaming computes and delive...
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12/07/2020
Multicell Power Control under Rate Constraints with Deep Learning
In the paper we study a deep learning based method to solve the multicel...
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11/06/2020
Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network
Optimizing power control in multi-cell cellular networks with deep learn...
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09/13/2020
A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning
As one of the key communication scenarios in the 5th and also the 6th ge...
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05/30/2020
Optimizing Ultra-Reliable and Low-Latency Communication Systems with Unsupervised Learning
Supervised learning has been introduced to wireless communications to so...
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05/18/2020
Data Represention for Deep Learning with Priori Knowledge of Symmetric Wireless Tasks
Deep neural networks (DNNs) have been applied to address various wireles...
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03/21/2020
Accelerating Deep Reinforcement Learning With the Aid of a Partial Model: Power-Efficient Predictive Video Streaming
Predictive power allocation is conceived for power-efficient video strea...
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02/22/2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
In the future 6th generation networks, ultra-reliable and low-latency co...
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01/29/2020
Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks
Deep neural networks (DNNs) have been employed for designing wireless sy...
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01/03/2020
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
Resource allocation and transceivers in wireless networks are usually de...
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10/30/2019
Prediction, Communication, and Computing Duration Optimization for VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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10/30/2019
Matching Prediction to Communication and Computing in Proactive VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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10/30/2019
Matching Capabilities of Prediction to Communication and Computing for Proactive VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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10/30/2019
Structure of Deep Neural Networks with a Priori Information in Wireless Tasks
Deep neural networks (DNNs) have been employed for designing wireless ne...
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10/29/2019
Proactive Optimization with Unsupervised Learning
Proactive resource allocation, say proactive caching at wireless edge, h...
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07/30/2019
Model-Free Unsupervised Learning for Optimization Problems with Constraints
In many optimization problems in wireless communications, the expression...
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05/27/2019
Learning to Optimize with Unsupervised Learning: Training Deep Neural Networks for URLLC
Learning the optimized solution as a function of environmental parameter...
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04/26/2019
Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications
In this paper, we study how to solve resource allocation problems in ult...
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10/31/2018
Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions
Caching at the wireless edge is a promising way of boosting spectral eff...
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06/17/2018
Improving Network Availability of Ultra-Reliable and Low-Latency Communications with Multi-Connectivity
Ultra-reliable and low-latency communications (URLLC) have stringent req...
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03/28/2018
Exploiting Residual Resources to Support High Throughput with Resource Allocation
Residual radio resources are abundant in wireless networks due to dynami...
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01/22/2018
A Learning-based Approach to Joint Content Caching and Recommendation at Base Stations
Recommendation system is able to shape user demands, which can be used f...
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01/10/2018
When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations?
Most of prior works optimize caching policies based on the following ass...
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01/03/2018