Citation Impact
Citing Papers
Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
2022 Standout
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
Tensor rank learning in CP decomposition via convolutional neural network
2018
Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art
2011
A Survey on Multi-Task Learning
2021
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
2015 Standout
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Sparse Representation for Wireless Communications: A Compressive Sensing Approach
2018
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Joint Optimization of Communications and Federated Learning Over the Air
2021
Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions
2017
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Nonorthogonal Multiple Access for 5G and Beyond
2017 Standout
Industry 4.0: state of the art and future trends
2018 Standout
GTxChain: A Secure IoT Smart Blockchain Architecture Based on Graph Neural Network
2023 Standout
A Novel Crowding Genetic Algorithm and Its Applications to Manufacturing Robots
2014
Secure Distributed On-Device Learning Networks with Byzantine Adversaries
2019
Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things
2012
A systematic literature review of blockchain-based applications: Current status, classification and open issues
2018 Standout
Infrared Small Target Detection Based on Partial Sum Minimization and Total Variation
2022
A Secure Content Caching Scheme for Disaster Backup in Fog Computing Enabled Mobile Social Networks
2018
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
2019 Standout
Cooperative Robots to Observe Moving Targets: Review
2016
An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks
2014 Standout
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
2018 Standout
A comprehensive review of firefly algorithms
2013 Standout
Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
2017 Standout
Internet of Things in Industries: A Survey
2014 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
2017 Standout
Supervised Learning Under Distributed Features
2018
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence
2020
A Hybrid Multiobjective Evolutionary Approach for Improving the Performance of Wireless Sensor Networks
2010
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT
2022
Parameter identification of solar cells using artificial bee colony optimization
2014
The vehicle routing problem: State of the art classification and review
2015 Standout
Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks
2022 Standout
Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes
2015
Byzantine-Resilient Secure Federated Learning
2020
Object Detection With Deep Learning: A Review
2019 Standout
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics
2014
Task Allocation for Wireless Sensor Network Using Modified Binary Particle Swarm Optimization
2013
Deep Learning in Physical Layer Communications
2019 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
2017
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
The internet of things: a survey
2014 Standout
A new geometric shape-based genetic clustering algorithm for the multi-depot vehicle routing problem
2011
Works of Qing Ling being referenced
Learning a deep l ∞ encoder for hashing
2016
An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search
2018
Evacuate Before Too Late: Distributed Backup in Inter-DC Networks with Progressive Disasters
2017
Multi-Task Learning for Subspace Segmentation
2015
Decentralized support detection of multiple measurement vectors with joint sparsity
2011
Decentralized Consensus Optimization With Asynchrony and Delays
2017
Distributed Sensor Allocation for Multi-Target Tracking in Wireless Sensor Networks
2012
Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks
2009
Deep Adversarial Data Augmentation for Extremely Low Data Regimes
2020
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
2019
Crowding clustering genetic algorithm for multimodal function optimization
2006
Localized sensor management for multi-target tracking in wireless sensor networks
2011
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
2014
On the Convergence of Decentralized Gradient Descent
2016
Decentralized Sparse Signal Recovery for Compressive Sleeping Wireless Sensor Networks
2010
EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
2015
Robust Temporal-Spatial Decomposition and Its Applications in Video Processing
2012
Communication-Censored ADMM for Decentralized Consensus Optimization
2019
Heterogeneous Online Learning for “Thing-Adaptive” Fog Computing in IoT
2018
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks
2020