Area of research
Computer Networks and Communications · Statistical and Nonlinear Physics
Research interest
Research interests include Computer science, Distributed computing, Cloud computing, Scheduling (production processes), Artificial intelligence, and Computer network.
Energy-Efficient Computing Offloading With Trajectory Optimization and Resource Allocation in UAVs Aided Industrial IoT
Learning to Optimize Workflow Scheduling for an Edge–Cloud Computing Environment
GNN-RM: A trajectory completion algorithm based on graph neural networks and regeneration modules
Toward Heterogeneous Environment: Lyapunov-Orientated ImpHetero Reinforcement Learning for Task Offloading
Joint Task Offloading and Resource Allocation for Fog-Based Intelligent Transportation Systems: A UAV-Enabled Multi-Hop Collaboration Paradigm
Edge Computing-Enabled Internet of Vehicles: Towards Federated Learning Empowered Scheduling
Workflow Makespan Minimization for Partially Connected Edge Network: A Deep Reinforcement Learning-Based Approach
A new task offloading algorithm in edge computing
A mutual information based federated learning framework for edge computing networks
Sparse auto-encoder combined with kernel for network attack detection
Energy-efficient Workload Allocation and Computation Resource Configuration in Distributed Cloud/Edge Computing Systems With Stochastic Workloads
Information cascades prediction with attention neural network
Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning in Collaboration Edge Networks
A collaborative cloud-edge computing framework in distributed neural network
Service Availability Analysis in a Virtualized System: A Markov Regenerative Model Approach
Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques
MASM: A Multiple-Algorithm Service Model for Energy-Delay Optimization in Edge Artificial Intelligence
Dynamic Mobility Load Balancing for 5G Small-Cell Networks Based on Utility Functions
Attention-based Sentiment Reasoner for aspect-based sentiment analysis
Toward Intelligent Network Optimization in Wireless Networking: An Auto-Learning Framework
Predicting popularity via a generative model with adaptive peeking window
Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing
Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation
Efficient Task Scheduling With Stochastic Delay Cost in Mobile Edge Computing
Kernel mixture model for probability density estimation in Bayesian classifiers
Collaborative Fusion for Distributed Target Classification Using Evidence Theory in IOT Environment
Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks
Efficient ID-based Message Authentication with Enhanced Privacy in Wireless Ad-hoc Networks
Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management
Towards Green IoT Networking: Performance Optimization of Network Coding Based Communication and Reliable Storage