Dawen Xia
Orcid: 0000-0002-0151-9643
According to our database1,
Dawen Xia
authored at least 55 papers
between 2013 and 2025.
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Bibliography
2025
Appl. Intell., August, 2025
Traffic flow prediction based on graph convolutional networks with a parallel attention network and stacked gate recurrent units.
Multim. Tools Appl., May, 2025
Parallel recurrent neural network with transformer for anomalous trajectory detection.
Appl. Intell., April, 2025
Attention-based spatial-temporal synchronous graph convolution networks for traffic flow forecasting.
Appl. Intell., April, 2025
Constraint-Projection-Based Actor-Critic Algorithm for Dynamic Distributed Economic Dispatch With Nonconvex Nonsmooth Cost.
IEEE Trans. Control. Netw. Syst., March, 2025
A Multiview Spatial-Temporal Adaptive Transformer-GRU Framework for Traffic Flow Prediction.
IEEE Internet Things J., March, 2025
Momentum-Based Distributed Economic Dispatch of Smart Grids in Time-Varying Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2025
A dual vision-guided mobile robot control approach for multi-target path planning and intelligent pickup.
Robotics Auton. Syst., 2025
Inf. Sci., 2025
DRL-ED: A deep reinforcement learning with encoder-decoder method for traffic flow prediction.
Eng. Appl. Artif. Intell., 2025
Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic Flow Prediction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
2024
Spatiotemporal synchronous dynamic graph attention network for traffic flow forecasting.
Neural Comput. Appl., August, 2024
A bidirectional-a-star-based ant colony optimization algorithm for big-data-driven taxi route recommendation.
Multim. Tools Appl., February, 2024
Multim. Tools Appl., 2024
J. King Saud Univ. Comput. Inf. Sci., 2024
2023
An A<sup>2</sup>-Gurobi algorithm for route recommendation with big taxi trajectory data.
Multim. Tools Appl., December, 2023
Spatial-temporal graph neural network based on gated convolution and topological attention for traffic flow prediction.
Appl. Intell., December, 2023
Frontiers Inf. Technol. Electron. Eng., September, 2023
Attention-based spatial-temporal adaptive dual-graph convolutional network for traffic flow forecasting.
Neural Comput. Appl., August, 2023
Distributed Primal-Dual Algorithms for Stochastic Generalized Nash Equilibrium Seeking Under Full and Partial-Decision Information.
IEEE Trans. Control. Netw. Syst., June, 2023
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Expert Syst. Appl., 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
A parallel grid-search-based SVM optimization algorithm on Spark for passenger hotspot prediction.
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
APFD: an effective approach to taxi route recommendation with mobile trajectory big data.
Frontiers Inf. Technol. Electron. Eng., 2022
Decentralized proximal splitting algorithms for composite constrained convex optimization.
J. Frankl. Inst., 2022
2021
Random Sleep Scheme-Based Distributed Optimization Algorithm Over Unbalanced Time-Varying Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2021
IEEE Trans. Control. Netw. Syst., 2021
Neural Comput. Appl., 2021
A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration.
Frontiers Inf. Technol. Electron. Eng., 2021
2019
Cluster lag synchronization of delayed heterogeneous complex dynamical networks via intermittent pinning control.
Neural Comput. Appl., 2019
J. Frankl. Inst., 2019
Neurocomputing, 2019
2018
Neural Comput. Appl., 2018
Geometrical convergence rate for distributed optimization with time-varying directed graphs and uncoordinated step-sizes.
Inf. Sci., 2018
A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data.
Complex., 2018
2017
Consensus in networked dynamical systems with event-triggered control inputs and random switching topologies.
Neural Comput. Appl., 2017
Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model.
Neurocomputing, 2017
Distributed optimization of first-order discrete-time multi-agent systems with event-triggered communication.
Neurocomputing, 2017
2016
Consensus analysis of multiagent systems with second-order nonlinear dynamics and general directed topology: An event-triggered scheme.
Inf. Sci., 2016
A distributed spatial-temporal weighted model on MapReduce for short-term traffic flow forecasting.
Neurocomputing, 2016
Quantized subgradient algorithm with limited bandwidth communications for solving distributed optimization over general directed multi-agent networks.
Neurocomputing, 2016
Distributed consensus of multi-agent systems over general directed networks with limited bandwidth communication.
Neurocomputing, 2016
A Map Reduce-Based Nearest Neighbor Approach for Big-Data-Driven Traffic Flow Prediction.
IEEE Access, 2016
2015
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015
2014
Proceedings of the Knowledge Science, Engineering and Management, 2014
2013
Discovery and Analysis of Usage Data Based on Hadoop for Personalized Information Access.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013