On the implication problem for probabilistic conditional independency. - S. K. Michael Wong; Cory J. Butz; Dan Wu 006 (IEEE Trans. Syst. Man Cybern. Part A, 2000)

Construction of a Non-redundant Cover for Conditional Independencies. - S. K. Michael Wong; Tao Lin 012; Dan Wu 006 (AI, 2002)

A Structural Characterization of DAG-Isomorphic Dependency Models. - S. K. Michael Wong; Dan Wu 006; Tao Lin 012 (AI, 2002)

Automated mining of granular database scheme. - S. K. Michael Wong; Dan Wu 006 (FUZZ-IEEE, 2002)

An Algebraic Characterization of Equivalent Bayesian Networks. - S. K. Michael Wong; Dan Wu 006 (IIP, 2002)

Construction of a Bayesian DAG from Conditional Independencies. - S. K. Michael Wong; Tao Lin 012; Dan Wu 006 (AI&M, 2002)

Triangulation of Bayesian Networks: A Relational Database Perspective. - S. K. Michael Wong; Dan Wu 006; Cory J. Butz (Rough Sets and Current Trends in Computing, 2002)

A New Inference Axiom for Probabilistic Conditional Independence. - Cory J. Butz; S. K. Michael Wong; Dan Wu 006 (AI, 2003)

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. - S. K. Michael Wong; Dan Wu 006; Cory J. Butz (AI, 2003)

A Simple Method for Identifying Compelled Edges in DAGs. - S. K. Michael Wong; Dan Wu 006 (FLAIRS, 2003)

A Common Framework for Rough Sets, Databases, and Bayesian Networks. - S. K. Michael Wong; Dan Wu 006 (RSFDGrC, 2003)

Critical Remarks on the Computational Complexity in Probabilistic Inference. - S. K. Michael Wong; Dan Wu 006; Yiyu Yao (RSFDGrC, 2003)

The marginal factorization of Bayesian networks and its application. - Dan Wu 006; S. K. Michael Wong (Int. J. Intell. Syst., 2004)

Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective. - Dan Wu 006; S. K. Michael Wong (FLAIRS, 2005)

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. - Dan Wu 006; Cory J. Butz (RSFDGrC (1), 2005)

Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases. - Dan Wu 006; S. K. Michael Wong (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application. - Dan Wu 006; Karen H. Jin (FLAIRS, 2006)

Path Propagation for Inference in Bayesian Networks. - Dan Wu 006; Liu He (Canadian AI, 2007)

Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective. - Dan Wu 006 (Int. J. Approx. Reason., 2007)

Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks. - Karen H. Jin; Dan Wu 006 (Canadian AI, 2008)

An Improved Architecture for Iterative Message Passing in MSBN. - Karen H. Jin; Dan Wu 006; Libing Wu (CSSE (1), 2008)

Marginal Calibration in Multi-agent Probabilistic Systems. - Karen H. Jin; Dan Wu 006 (ICTAI (2), 2008)

A Novel Interoperable Model of Distributed UDDI. - Libing Wu; Yanxiang He; Dan Wu 006; Jianqun Cui (NAS, 2008)

GMF-BMA: A New Grid Resource Monitoring Model. - Libing Wu; Yanxiang He; Dan Wu 006; Simeng Wang; Bo Chen (PACIIA (2), 2008)

An improved probabilistic approach for collaborative multi-robot localization. - Dan Wu 006; Huaicheng Su (ROBIO, 2008)

The Research and Emulation on PIM-SM Protocol. - Libing Wu; Shengchao Ding; Chanle Wu; Dan Wu 006; Bo Chen (HPCA (China), 2009)

A cost effective probabilistic approach to localization and mapping. - Dibyendu Mukherjee; Ashirbani Saha; Pankajkumar Mendapara; Dan Wu 006; Q. M. Jonathan Wu (EIT, 2009)

On designing approximate inference algorithms for multiply sectioned Bayesian networks. - Karen H. Jin; Dan Wu 006; Libing Wu (GrC, 2009)

MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring. - Karen H. Jin; Dan Wu 006 (ICTAI, 2009)

Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees. - Dan Wu 006; Nasreen Mirza Tania; Karen H. Jin (ICTAI, 2009)

Cost-effective active localization technique for mobile robots. - Sepideh Seifzadeh; Dan Wu 006; Yuefeng Wang (ROBIO, 2009)

A moving grid cell based MCL algorithm for mobile robot localization. - Yuefeng Wang; Dan Wu 006; Sepideh Seifzadeh; Jingxi Chen (ROBIO, 2009)

Bring consciousness to mobile robot being localized. - Dan Wu 006; Jingxi Chen; Yuefeng Wang (ROBIO, 2009)

Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006). - Eric Neufeld; Dan Wu 006 (Int. J. Approx. Reason., 2009)

Local Importance Sampling in Multiply Sectioned Bayesian Networks. - Karen H. Jin; Dan Wu 006 (FLAIRS, 2010)

A dynamic size MCL algorithm for mobile robot localization. - Yuefeng Wang; Dan Wu 006; Libing Wu (ROBIO, 2010)

Optimizing Local Computation for Cooperative Probabilistic Reasoning. - Karen H. Jin; Dan Wu 006 (FLAIRS, 2011)

A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. - S. Hamid Dezfoulian; Dan Wu 006; Imran Shafiq Ahmad (IAS (1), 2012)

A frontier based multi-robot approach for coverage of unknown environments. - Raja Sankar Dileep Muddu; Dan Wu 006; Libing Wu (ROBIO, 2015)

Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows. - Libing Wu; Zhijuan He; Yanjiao Chen; Dan Wu 006; Jianqun Cui (IEEE Access, 2019)

A V2I communication-based pipeline model for adaptive urban traffic light scheduling. - Libing Wu; Lei Nie; Samee U. Khan; Osman Khalid; Dan Wu 006 (Frontiers Comput. Sci., 2019)

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. - Libing Wu; Min Wang 017; Dan Wu 006; Jia Wu 001 (CIKM, 2021)

A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control. - Liu He; Qing'an Li; Libing Wu; Min Wang 017; Jianxin Li 001; Dan Wu 006 (IJCNN, 2021)

RLCC: Practical Learning-based Congestion Control for the Internet. - Zhenchang Xia; Jinxing Wu; Libing Wu; Jichao Yuan; Jingzhi Zhang; Jianxin Li 001; Dan Wu 006 (IJCNN, 2021)

An edge computing based data detection scheme for traffic light at intersections. - Libing Wu; Rui Zhang 083; Ruiting Zhou; Dan Wu 006 (Comput. Commun., 2021)

Multi-dimensional alignment via Variational Autoencoders for Generalized Zero-Shot and Few-Shot Learning. - Jiyan Cai; Libing Wu; Dan Wu 006; Jianxin Li 001; Xianfeng Wu (BESC, 2022)

Emergency Evacuation Software Simulation Process for Physical Changes. - Dan Wu 006; Imran Shafiq Ahmad; Rachit Tomar (I4CS, 2022)

Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Jianxin Li 001; Dan Wu 006 (IJCNN, 2022)

Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data. - Min Wang 017; Libing Wu; Jianxin Li 001; Dan Wu 006; Chao Ma 008 (IJCNN, 2022)

A spatio-temporal sequence-to-sequence network for traffic flow prediction. - Shuqin Cao; Libing Wu; Jia Wu 001; Dan Wu 006; Qingan Li (Inf. Sci., 2022)

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets. - Rui Zhang 083; Libing Wu; Shuqin Cao; Neal N. Xiong; Jianxin Li 001; Dan Wu 006; Chao Ma 008 (J. Syst. Archit., 2022)

Meta-learning based spatial-temporal graph attention network for traffic signal control. - Min Wang 017; Libing Wu; Man Li; Dan Wu 006; Xiaochuan Shi; Chao Ma 008 (Knowl. Based Syst., 2022)

Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV. - Rui Zhang 083; Libing Wu; Shuqin Cao; Xinrong Hu; Shan Xue 001; Dan Wu 006; Qingan Li (ACM Trans. Internet Techn., 2022)

G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning. - Zhuangzhuang Zhang; Libing Wu; Debiao He; Qian Wang 002; Dan Wu 006; Xiaochuan Shi; Chao Ma 008 (IEEE Trans. Netw. Serv. Manag., 2022)

Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning. - Jiyan Cai; Libing Wu; Dan Wu 006; Jianxin Li 001; Xianfeng Wu (Inf., 2023)

Glider: rethinking congestion control with deep reinforcement learning. - Zhenchang Xia; Libing Wu; Fei Wang; Xudong Liao; Haiyan Hu; Jia Wu 001; Dan Wu 006 (World Wide Web (WWW), 2023)

A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets. - Rui Zhang 083; Libing Wu; Shuqin Cao; Dan Wu 006; Jianxin Li 001 (IEEE Trans. Netw. Serv. Manag., 2023)

A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Dan Wu 006; Jianqun Cui; Yanan Chang (IEEE Trans. Intell. Transp. Syst., 2024)

Hypergraph Attention Recurrent Network for Cellular Traffic Prediction. - Shuqin Cao; Libing Wu; Rui Zhang 083; Jianfeng Lu 002; Dan Wu 006; Zhuangzhuang Zhang (IEEE Trans. Netw. Serv. Manag., 2025)