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03/13/2023
Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective
The underwater propagation environment for visible light signals is affe...
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03/11/2023
Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective
Visible light positioning (VLP) has drawn plenty of attention as a promi...
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03/09/2023
Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach
Visible light communication (VLC) has been widely applied as a promising...
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03/05/2023
Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
Massive random access of devices in the emerging Open Radio Access Netwo...
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11/29/2022
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
The ubiquity of camera-embedded devices and the advances in deep learnin...
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11/03/2021
Origami-inspired soft twisting actuator
Soft actuators have shown great advantages in compliance and morphology ...
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10/19/2021
A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation
Soft grippers are receiving growing attention due to their compliance-ba...
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08/16/2021
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Surface defect detection plays an increasingly important role in manufac...
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08/16/2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Automated Guided Vehicles (AGVs) have been widely used for material hand...
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08/13/2021
Bi-Temporal Semantic Reasoning for the Semantic Change Detection of HR Remote Sensing Images
Semantic change detection (SCD) extends the change detection (CD) task t...
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01/28/2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
There are many deep learning (e.g., DNN) powered mobile and wearable app...
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06/08/2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a tremen...
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06/08/2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
The remarkable success of machine learning has fostered a growing number...
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04/27/2020
Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach
Narrowband internet-of-things (NB-IoT) is a competitive 5G technology fo...
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09/30/2019
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN
Paraphrase generation is an important and challenging natural language p...
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01/25/2019