Dan Wu

Affiliations:
  • University of Windsor, School of Computer Science, Canada


According to our database1, Dan Wu authored at least 51 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets.
IEEE Trans. Netw. Serv. Manag., March, 2023

Glider: rethinking congestion control with deep reinforcement learning.
World Wide Web (WWW), January, 2023

2022
G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.
ACM Trans. Internet Techn., 2022

Meta-learning based spatial-temporal graph attention network for traffic signal control.
Knowl. Based Syst., 2022

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets.
J. Syst. Archit., 2022

A spatio-temporal sequence-to-sequence network for traffic flow prediction.
Inf. Sci., 2022

Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Emergency Evacuation Software Simulation Process for Physical Changes.
Proceedings of the Innovations for Community Services - 22nd International Conference, 2022

Multi-dimensional alignment via Variational Autoencoders for Generalized Zero-Shot and Few-Shot Learning.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021
An edge computing based data detection scheme for traffic light at intersections.
Comput. Commun., 2021

RLCC: Practical Learning-based Congestion Control for the Internet.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control.
Proceedings of the International Joint Conference on Neural Networks, 2021

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019
A V2I communication-based pipeline model for adaptive urban traffic light scheduling.
Frontiers Comput. Sci., 2019

Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows.
IEEE Access, 2019

2015
A frontier based multi-robot approach for coverage of unknown environments.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

2012
A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.
Proceedings of the Intelligent Autonomous Systems 12, 2012

2011
Optimizing Local Computation for Cooperative Probabilistic Reasoning.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010
A dynamic size MCL algorithm for mobile robot localization.
Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Local Importance Sampling in Multiply Sectioned Bayesian Networks.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006).
Int. J. Approx. Reason., 2009

Bring consciousness to mobile robot being localized.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

A moving grid cell based MCL algorithm for mobile robot localization.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Cost-effective active localization technique for mobile robots.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees.
Proceedings of the ICTAI 2009, 2009

MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring.
Proceedings of the ICTAI 2009, 2009

On designing approximate inference algorithms for multiply sectioned Bayesian networks.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

A cost effective probabilistic approach to localization and mapping.
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

The Research and Emulation on PIM-SM Protocol.
Proceedings of the High Performance Computing and Applications, 2009

2008
An improved probabilistic approach for collaborative multi-robot localization.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

GMF-BMA: A New Grid Resource Monitoring Model.
Proceedings of the PACIIA 2008, 2008

A Novel Interoperable Model of Distributed UDDI.
Proceedings of The 2008 IEEE International Conference on Networking, 2008

Marginal Calibration in Multi-agent Probabilistic Systems.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

An Improved Architecture for Iterative Message Passing in MSBN.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective.
Int. J. Approx. Reason., 2007

Path Propagation for Inference in Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005
Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.
Proceedings of the Rough Sets, 2005

2004
The marginal factorization of Bayesian networks and its application.
Int. J. Intell. Syst., 2004

2003
A Common Framework for Rough Sets, Databases, and Bayesian Networks.
Proceedings of the Rough Sets, 2003

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.
Proceedings of the Advances in Artificial Intelligence, 2003

A New Inference Axiom for Probabilistic Conditional Independence.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Triangulation of Bayesian Networks: A Relational Database Perspective.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Construction of a Bayesian DAG from Conditional Independencies.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002

A Structural Characterization of DAG-Isomorphic Dependency Models.
Proceedings of the Advances in Artificial Intelligence, 2002

Construction of a Non-redundant Cover for Conditional Independencies.
Proceedings of the Advances in Artificial Intelligence, 2002

2000
On the implication problem for probabilistic conditional independency.
IEEE Trans. Syst. Man Cybern. Part A, 2000


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