Dan Wu

60 papers A 1B 7C 1Misc 10Journal 18Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hypergraph Attention Recurrent Network for Cellular Traffic Prediction.
IEEE Trans. Netw. Serv. Manag.
Shuqin Cao, Libing Wu, Rui Zhang, Jianfeng Lu, Dan Wu, Zhuangzhuang Zhang
2025 — conf
Resume-Job Compatibility Scoring Using Graph Neural Networks and Large Language Models.
ICIT
Amin Baghbanzadeh, Dan Wu
2024 J jnl
A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Shuqin Cao, Libing Wu, Rui Zhang, Dan Wu, Jianqun Cui, Yanan Chang
2023 J jnl
A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets.
IEEE Trans. Netw. Serv. Manag.
Rui Zhang, Libing Wu, Shuqin Cao, Dan Wu, Jianxin Li
2023 J jnl
Glider: rethinking congestion control with deep reinforcement learning.
World Wide Web (WWW)
Zhenchang Xia, Libing Wu, Fei Wang, Xudong Liao, Haiyan Hu, Jia Wu, Dan Wu
2023 J jnl
Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning.
Inf.
Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu
2022 J jnl
A spatio-temporal sequence-to-sequence network for traffic flow prediction.
Inf. Sci.
Shuqin Cao, Libing Wu, Jia Wu, Dan Wu, Qingan Li
2022 B conf
Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction.
IJCNN
Shuqin Cao, Libing Wu, Rui Zhang, Jianxin Li, Dan Wu
2022 C conf
Emergency Evacuation Software Simulation Process for Physical Changes.
I4CS
Dan Wu, Imran Shafiq Ahmad, Rachit Tomar
2022 J jnl
G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning.
IEEE Trans. Netw. Serv. Manag.
Zhuangzhuang Zhang, Libing Wu, Debiao He, Qian Wang, Dan Wu, Xiaochuan Shi, Chao Ma
2022 J jnl
MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets.
J. Syst. Archit.
Rui Zhang, Libing Wu, Shuqin Cao, Neal N. Xiong, Jianxin Li, Dan Wu, Chao Ma
2022 J jnl
Meta-learning based spatial-temporal graph attention network for traffic signal control.
Knowl. Based Syst.
Min Wang, Libing Wu, Man Li, Dan Wu, Xiaochuan Shi, Chao Ma
2022 — conf
Multi-dimensional alignment via Variational Autoencoders for Generalized Zero-Shot and Few-Shot Learning.
BESC
Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu
2022 J jnl
Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV.
ACM Trans. Internet Techn.
Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li
2022 B conf
Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data.
IJCNN
Min Wang, Libing Wu, Jianxin Li, Dan Wu, Chao Ma
2021 B conf
A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control.
IJCNN
Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu
2021 J jnl
An edge computing based data detection scheme for traffic light at intersections.
Comput. Commun.
Libing Wu, Rui Zhang, Ruiting Zhou, Dan Wu
2021 A conf
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
CIKM
Libing Wu, Min Wang, Dan Wu, Jia Wu
2021 B conf
RLCC: Practical Learning-based Congestion Control for the Internet.
IJCNN
Zhenchang Xia, Jinxing Wu, Libing Wu, Jichao Yuan, Jingzhi Zhang, Jianxin Li, Dan Wu
2019 J jnl
A V2I communication-based pipeline model for adaptive urban traffic light scheduling.
Frontiers Comput. Sci.
Libing Wu, Lei Nie, Samee U. Khan, Osman Khalid, Dan Wu
2019 J jnl
Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows.
IEEE Access
Libing Wu, Zhijuan He, Yanjiao Chen, Dan Wu, Jianqun Cui
2015 — conf
A frontier based multi-robot approach for coverage of unknown environments.
ROBIO
Raja Sankar Dileep Muddu, Dan Wu, Libing Wu
2012 — conf
A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.
IAS (1)
S. Hamid Dezfoulian, Dan Wu, Imran Shafiq Ahmad
2011 Misc conf
Optimizing Local Computation for Cooperative Probabilistic Reasoning.
FLAIRS
Karen H. Jin, Dan Wu
2010 — conf
A dynamic size MCL algorithm for mobile robot localization.
ROBIO
Yuefeng Wang, Dan Wu, Libing Wu
2010 Misc conf
Local Importance Sampling in Multiply Sectioned Bayesian Networks.
FLAIRS
Karen H. Jin, Dan Wu
2009 — conf
A cost effective probabilistic approach to localization and mapping.
EIT
Dibyendu Mukherjee, Ashirbani Saha, Pankajkumar Mendapara, Dan Wu, Q. M. Jonathan Wu
2009 — conf
A moving grid cell based MCL algorithm for mobile robot localization.
ROBIO
Yuefeng Wang, Dan Wu, Sepideh Seifzadeh, Jingxi Chen
2009 — conf
Bring consciousness to mobile robot being localized.
ROBIO
Dan Wu, Jingxi Chen, Yuefeng Wang
2009 — conf
Cost-effective active localization technique for mobile robots.
ROBIO
Sepideh Seifzadeh, Dan Wu, Yuefeng Wang
2009 B conf
Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees.
ICTAI
Dan Wu, Nasreen Mirza Tania, Karen H. Jin
2009 B conf
MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring.
ICTAI
Karen H. Jin, Dan Wu
2009 Misc conf
On designing approximate inference algorithms for multiply sectioned Bayesian networks.
GrC
Karen H. Jin, Dan Wu, Libing Wu
2009 J jnl
Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006).
Int. J. Approx. Reason.
Eric Neufeld, Dan Wu
2009 — conf
The Research and Emulation on PIM-SM Protocol.
HPCA (China)
Libing Wu, Shengchao Ding, Chanle Wu, Dan Wu, Bo Chen
2008 — conf
A Novel Interoperable Model of Distributed UDDI.
NAS
Libing Wu, Yanxiang He, Dan Wu, Jianqun Cui
2008 — conf
An Improved Architecture for Iterative Message Passing in MSBN.
CSSE (1)
Karen H. Jin, Dan Wu, Libing Wu
2008 — conf
An improved probabilistic approach for collaborative multi-robot localization.
ROBIO
Dan Wu, Huaicheng Su
2008 — conf
GMF-BMA: A New Grid Resource Monitoring Model.
PACIIA (2)
Libing Wu, Yanxiang He, Dan Wu, Simeng Wang, Bo Chen
2008 — conf
Marginal Calibration in Multi-agent Probabilistic Systems.
ICTAI (2)
Karen H. Jin, Dan Wu
2008 — conf
Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks.
Canadian AI
Karen H. Jin, Dan Wu
2007 J jnl
Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective.
Int. J. Approx. Reason.
Dan Wu
2007 — conf
Path Propagation for Inference in Bayesian Networks.
Canadian AI
Dan Wu, Liu He
2006 Misc conf
Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application.
FLAIRS
Dan Wu, Karen H. Jin
2005 J jnl
Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Dan Wu, S. K. Michael Wong
2005 Misc conf
Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective.
FLAIRS
Dan Wu, S. K. Michael Wong
2005 — conf
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.
RSFDGrC (1)
Dan Wu, Cory J. Butz
2004 J jnl
The marginal factorization of Bayesian networks and its application.
Int. J. Intell. Syst.
Dan Wu, S. K. Michael Wong
2003 — conf
A Common Framework for Rough Sets, Databases, and Bayesian Networks.
RSFDGrC
S. K. Michael Wong, Dan Wu
2003 Misc conf
A New Inference Axiom for Probabilistic Conditional Independence.
AI
Cory J. Butz, S. K. Michael Wong, Dan Wu
2003 Misc conf
A Simple Method for Identifying Compelled Edges in DAGs.
FLAIRS
S. K. Michael Wong, Dan Wu
2003 — conf
Critical Remarks on the Computational Complexity in Probabilistic Inference.
RSFDGrC
S. K. Michael Wong, Dan Wu, Yiyu Yao
2003 Misc conf
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.
AI
S. K. Michael Wong, Dan Wu, Cory J. Butz
2002 Misc conf
A Structural Characterization of DAG-Isomorphic Dependency Models.
AI
S. K. Michael Wong, Dan Wu, Tao Lin
2002 — conf
An Algebraic Characterization of Equivalent Bayesian Networks.
IIP
S. K. Michael Wong, Dan Wu
2002 B conf
Automated mining of granular database scheme.
FUZZ-IEEE
S. K. Michael Wong, Dan Wu
2002 — conf
Construction of a Bayesian DAG from Conditional Independencies.
AI&M
S. K. Michael Wong, Tao Lin, Dan Wu
2002 Misc conf
Construction of a Non-redundant Cover for Conditional Independencies.
AI
S. K. Michael Wong, Tao Lin, Dan Wu
2002 — conf
Triangulation of Bayesian Networks: A Relational Database Perspective.
Rough Sets and Current Trends in Computing
S. K. Michael Wong, Dan Wu, Cory J. Butz
2000 J jnl
On the implication problem for probabilistic conditional independency.
IEEE Trans. Syst. Man Cybern. Part A
S. K. Michael Wong, Cory J. Butz, Dan Wu