Dan Wu

According to our database, Dan Wu authored at least 58 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction.

Shuqin Cao, Libing Wu, Rui Zhang, Dan Wu, Jianqun Cui, Yanan Chang

IEEE Trans. Intell. Transp. Syst., August, 2024

2023

A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets.

Rui Zhang, Libing Wu, Shuqin Cao, Dan Wu, Jianxin Li

IEEE Trans. Netw. Serv. Manag., March, 2023

Glider: rethinking congestion control with deep reinforcement learning.

Zhenchang Xia, Libing Wu, Fei Wang, Xudong Liao, Haiyan Hu, Jia Wu, Dan Wu

World Wide Web (WWW), January, 2023

Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning.

Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu

Inf., 2023

2022

G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning.

Zhuangzhuang Zhang, Libing Wu, Debiao He, Qian Wang, Dan Wu, Xiaochuan Shi, Chao Ma

IEEE Trans. Netw. Serv. Manag., December, 2022

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.

Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li

ACM Trans. Internet Techn., 2022

Meta-learning based spatial-temporal graph attention network for traffic signal control.

Min Wang, Libing Wu, Man Li, Dan Wu, Xiaochuan Shi, Chao Ma

Knowl. Based Syst., 2022

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets.

Rui Zhang, Libing Wu, Shuqin Cao, Neal N. Xiong, Jianxin Li, Dan Wu, Chao Ma

J. Syst. Archit., 2022

A spatio-temporal sequence-to-sequence network for traffic flow prediction.

Shuqin Cao, Libing Wu, Jia Wu, Dan Wu, Qingan Li

Inf. Sci., 2022

Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data.

Min Wang, Libing Wu, Jianxin Li, Dan Wu, Chao Ma

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.

Shuqin Cao, Libing Wu, Rui Zhang, Jianxin Li, Dan Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

Emergency Evacuation Software Simulation Process for Physical Changes.

Dan Wu, Imran Shafiq Ahmad, Rachit Tomar

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.

Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu

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.

Libing Wu, Rui Zhang, Ruiting Zhou, Dan Wu

Comput. Commun., 2021

RLCC: Practical Learning-based Congestion Control for the Internet.

Zhenchang Xia, Jinxing Wu, Libing Wu, Jichao Yuan, Jingzhi Zhang, Jianxin Li, Dan Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control.

Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.

Libing Wu, Min Wang, Dan Wu, Jia Wu

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.

Libing Wu, Lei Nie, Samee U. Khan, Osman Khalid, Dan Wu

Frontiers Comput. Sci., 2019

Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows.

Libing Wu, Zhijuan He, Yanjiao Chen, Dan Wu, Jianqun Cui

IEEE Access, 2019

2015

A frontier based multi-robot approach for coverage of unknown environments.

Raja Sankar Dileep Muddu, Dan Wu, Libing Wu

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.

S. Hamid Dezfoulian, Dan Wu, Imran Shafiq Ahmad

Proceedings of the Intelligent Autonomous Systems 12, 2012

2011

Optimizing Local Computation for Cooperative Probabilistic Reasoning.

Karen H. Jin, Dan Wu

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010

A dynamic size MCL algorithm for mobile robot localization.

Yuefeng Wang, Dan Wu, Libing Wu

Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Local Importance Sampling in Multiply Sectioned Bayesian Networks.

Karen H. Jin, Dan Wu

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).

Eric Neufeld, Dan Wu

Int. J. Approx. Reason., 2009

Bring consciousness to mobile robot being localized.

Dan Wu, Jingxi Chen, Yuefeng Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

A moving grid cell based MCL algorithm for mobile robot localization.

Yuefeng Wang, Dan Wu, Sepideh Seifzadeh, Jingxi Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Cost-effective active localization technique for mobile robots.

Sepideh Seifzadeh, Dan Wu, Yuefeng Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees.

Dan Wu, Nasreen Mirza Tania, Karen H. Jin

Proceedings of the ICTAI 2009, 2009

MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring.

Karen H. Jin, Dan Wu

Proceedings of the ICTAI 2009, 2009

On designing approximate inference algorithms for multiply sectioned Bayesian networks.

Karen H. Jin, Dan Wu, Libing Wu

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

A cost effective probabilistic approach to localization and mapping.

Dibyendu Mukherjee, Ashirbani Saha, Pankajkumar Mendapara, Dan Wu, Q. M. Jonathan Wu

Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

The Research and Emulation on PIM-SM Protocol.

Libing Wu, Shengchao Ding, Chanle Wu, Dan Wu, Bo Chen

Proceedings of the High Performance Computing and Applications, 2009

2008

An improved probabilistic approach for collaborative multi-robot localization.

Dan Wu, Huaicheng Su

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

GMF-BMA: A New Grid Resource Monitoring Model.

Libing Wu, Yanxiang He, Dan Wu, Simeng Wang, Bo Chen

Proceedings of the PACIIA 2008, 2008

A Novel Interoperable Model of Distributed UDDI.

Libing Wu, Yanxiang He, Dan Wu, Jianqun Cui

Proceedings of The 2008 IEEE International Conference on Networking, 2008

Marginal Calibration in Multi-agent Probabilistic Systems.

Karen H. Jin, Dan Wu

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

An Improved Architecture for Iterative Message Passing in MSBN.

Karen H. Jin, Dan Wu, Libing Wu

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks.

Karen H. Jin, Dan Wu

Proceedings of the Advances in Artificial Intelligence , 2008

2007

Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective.

Dan Wu

Int. J. Approx. Reason., 2007

Path Propagation for Inference in Bayesian Networks.

Dan Wu, Liu He

Proceedings of the Advances in Artificial Intelligence, 2007

2006

Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application.

Dan Wu, Karen H. Jin

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases.

Dan Wu, S. K. Michael Wong

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.

Dan Wu, Cory J. Butz

Proceedings of the Rough Sets, 2005

Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective.

Dan Wu, S. K. Michael Wong

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004

The marginal factorization of Bayesian networks and its application.

Dan Wu, S. K. Michael Wong

Int. J. Intell. Syst., 2004

2003

Critical Remarks on the Computational Complexity in Probabilistic Inference.

S. K. Michael Wong, Dan Wu, Yiyu Yao

Proceedings of the Rough Sets, 2003

A Common Framework for Rough Sets, Databases, and Bayesian Networks.

S. K. Michael Wong, Dan Wu

Proceedings of the Rough Sets, 2003

A Simple Method for Identifying Compelled Edges in DAGs.

S. K. Michael Wong, Dan Wu

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.

S. K. Michael Wong, Dan Wu, Cory J. Butz

Proceedings of the Advances in Artificial Intelligence, 2003

A New Inference Axiom for Probabilistic Conditional Independence.

Cory J. Butz, S. K. Michael Wong, Dan Wu

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Triangulation of Bayesian Networks: A Relational Database Perspective.

S. K. Michael Wong, Dan Wu, Cory J. Butz

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Construction of a Bayesian DAG from Conditional Independencies.

S. K. Michael Wong, Tao Lin, Dan Wu

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002

An Algebraic Characterization of Equivalent Bayesian Networks.

S. K. Michael Wong, Dan Wu

Proceedings of the Intelligent Information Processing, 2002

Automated mining of granular database scheme.

S. K. Michael Wong, Dan Wu

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

A Structural Characterization of DAG-Isomorphic Dependency Models.

S. K. Michael Wong, Dan Wu, Tao Lin

Proceedings of the Advances in Artificial Intelligence, 2002

Construction of a Non-redundant Cover for Conditional Independencies.

S. K. Michael Wong, Tao Lin, Dan Wu

Proceedings of the Advances in Artificial Intelligence, 2002

2000

On the implication problem for probabilistic conditional independency.

S. K. Michael Wong, Cory J. Butz, Dan Wu

IEEE Trans. Syst. Man Cybern. Part A, 2000