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08/22/2023
Careful at Estimation and Bold at Exploration
Exploration strategies in continuous action space are often heuristic du...
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11/26/2022
Profile-Guided Parallel Task Extraction and Execution for Domain Specific Heterogeneous SoC
In this study, we introduce a methodology for automatically transforming...
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11/02/2022
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification
Although the security of automatic speaker verification (ASV) is serious...
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10/30/2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Adversarial attack approaches to speaker identification either need high...
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08/18/2022
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data
Sampling is an essential part of raw point cloud data processing such as...
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05/20/2022
Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning
One of the major difficulties of reinforcement learning is learning from...
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05/09/2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
This work aims to tackle Model Inversion (MI) attack on Split Federated ...
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07/23/2021
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Deep learning has an increasing impact to assist research, allowing, for...
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07/22/2021
Tsformer: Time series Transformer for tourism demand forecasting
AI-based methods have been widely applied to tourism demand forecasting....
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07/20/2021
Communication and Computation Reduction for Split Learning using Asynchronous Training
Split learning is a promising privacy-preserving distributed learning sc...
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10/16/2020
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Ap
For in-vehicle application,task type and vehicle state information, i.e....
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06/19/2020
Certified Randomness from Bell's Theorem and Remote State Preparation Dimension Witness
Randomness can be device-independently certified from a set of experimen...
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09/09/2019
Hit Ratio Driven Mobile Edge Caching Scheme for Video on Demand Services
More and more scholars focus on mobile edge computing (MEC) technology, ...
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07/31/2019
Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices
Currently, deep neural networks (DNNs) have achieved a great success in ...
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01/22/2019
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Compared to traditional distributed computing environments such as grids...
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07/27/2017
Runtime Model Based Approach to Smart Home System Development
When developing smart home systems, developers integrate and compose sma...
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09/18/2014
