Deep Learning Models and Applications
CRFST-GCN :A Deeplearning Spital-Temporal Frame to Predict Traffic Flow
BFR-RetinaNet: An Improved RetinaNet Model for Vehicle Detection in Aerial Images
Learning Knowledge Graph Embeddings by Multi-Attention Mechanism for Link Prediction
GlowImp: Combining GLOW and GAN for Multivariate Time Series Imputation
Accurate Indoor Localization Using Magnetic Sequence Fingerprints with Deep Learning
Wasserstein Graph Auto-Encoder
Fine-grained Activity Recognition Based on Features of Action Subsegments and Incremental Broad Learning
ADFA-LSTM: An Abnormal Trajectory Prediction Method Based On Bionic Neural Network
Online Multiple Object Tracking Algorithm based on Heat Map Propagation
Software Systems and Efficient Algorithms
Spatio-temporal Topology Routing Algorithm for Opportunistic Network Based on Self-Attention Mechanism
TSAEns: Ensemble Learning for KPI Anomaly Detection
Towards Transferable Adversarial Examples using Meta Learning
Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades
Error Serial Episodes Discovery from Mobile Payment Log in Distributed ETC
Parallel Cache Prefetching for LSM-Tree based Store: From Algorithm to Evaluation
A Hybrid TLBO-TS Algorithm based Mobile Service Selection for Composite Services
UPM-DMA: An Efficient Userspace DMA-Pinned Memory Management Strategy for NVMe SSD
AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem
Trace-Navi: A High-Accuracy Indoor Navigation System based on Real-Time Activity Recognition and Discrete Trajectory Calibration
Iterative Filling Incomplete Fingerprint Map Based on Multi-directional Signal Propagation in Large-scale Scene
Dynamic Adjustment Policy of Search Driver Matching Distance via Markov Decision Process
A Multi-Precision Quantized Super-Resolution Model Framework
An Optimized GPU Implementation of Weakly-compressible SPH using CUDA-based strategies
A Heterogeneous Multi-Core Network-on-Chip Mapping Optimization Algorithm
A Novel 3D Intelligent Cluster Method for Malicious Traffic Fine-grained Classification
Predicting Students Academic Performance Based on Improved PSO-Xgboost: A Campus Behavior Perspective
Motion-sequence Authentication System: guard for smart phones
Edge Computing and Edge Intelligence
Joint Optimization Scheme of Multi-service Replication and Request Offloading in Mobile Edge Computing
Flying MEC: Online Task Offloading, Trajectory Planning and Charging Scheduling for UAV-assisted MEC
Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing
An Optimized Greedy-based Task Offloading Method for Mobile Edge Computing
Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing
Recode-Decode-and-Compare: An Efficient Verification Scheme for Coded Edge Computing against Collusion Attack
MGFL: Multi-granularity Federated Learning in Edge Computing Systems
Energy Efficient Priority-Based Task Scheduling for Computation Offloading in Fog Computing
Space-Heuristic Navigation and Occupancy Map Prediction for Robot Autonomous Exploration
Service Dependability and Security Algorithms
Edge DDoS attack detection method based on software defined networks
GradMFL: Gradient Memory-based Federated Learning for Hierarchical Knowledge Transferring over Non-IID Data
Linear Coded Federated Learning
Verifiable Dynamic Searchable Symmetric Encryption with Forward Privacy in Cloud-assisted E-Healthcare Systems
Security Analysis of Poisoning Attacks Against Multi-agent Reinforcement Learning
A blockchain-based proxy oriented cloud storage public audit scheme for low-performance terminal devices
Sunspot: A Decentralized Framework Enabling Privacy for Authorizable Data Sharing on Transparent Public Blockchains
A Novel Protection method of continuous location sharing based on local differential privacy and conditional random field
An Intelligent Allocation Mechanism Based on Ethereum Blockchain in Microgrid
Data Science
Multi-Layer Adaptive Sampling for Per-Flow Spread Measurement
Transformer-based Rating-Aware Sequential Recommendation
An effective single-pass approach for estimating the Z-quantile in data streams
Fed-Tra: Improving Accuracy of Deep Learning Model on Non-IID Data in Federated Learning.