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ORCIDDan Wu 0006
Person information
- affiliation: University of Windsor, School of Computer Science, Canada
Other persons with the same name
- Dan Wu — disambiguation page
- Dan Wu 0001
![[0000-0002-2722-8676]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2722-8676")
— Army Engineering University of PLA, Institute of Communications Engineering, Nanjing, China (and 1 more) - Dan Wu 0002 — Shenzhen Institutes of Advanced Technology, Institute of Biomedical and Health Engineering, China (and 1 more)
- Dan Wu 0003 — Wuhan University, School of Information Management, China
- Dan Wu 0004 — Royal Institute of Technology, Stockholm, Sweden
- Dan Wu 0005 — Chinese University of Hong Kong, Hong Kong
- Dan Wu 0007 — Peking University, School of Computer Science, Beijing, China
- Dan Wu 0008 — Tsinghua University, Department of Mechanical Engineering, State Key Laboratory of Tribology in Advanced Equipment, Beijing, China (and 1 more)
- Dan Wu 0009 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China (and 3 more)
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2020 – today
- 2024
[j17]Shuqin Cao, Libing Wu, Rui Zhang, Dan Wu, Jianqun Cui, Yanan Chang:
A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 25(8): 8705-8718 (2024)- 2023
- [j16]Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu:
Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning. Inf. 14(3): 148 (2023) - [j15]Rui Zhang, Libing Wu, Shuqin Cao, Dan Wu, Jianxin Li:
A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets. IEEE Trans. Netw. Serv. Manag. 20(1): 456-470 (2023) - [j14]Zhenchang Xia, Libing Wu, Fei Wang, Xudong Liao, Haiyan Hu, Jia Wu, Dan Wu:
Glider: rethinking congestion control with deep reinforcement learning. World Wide Web (WWW) 26(1): 115-137 (2023) - 2022
- [j13]Shuqin Cao, Libing Wu, Jia Wu, Dan Wu, Qingan Li:
A spatio-temporal sequence-to-sequence network for traffic flow prediction. Inf. Sci. 610: 185-203 (2022) - [j12]Rui Zhang, Libing Wu, Shuqin Cao, Neal N. Xiong, Jianxin Li, Dan Wu, Chao Ma:
MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets. J. Syst. Archit. 131: 102712 (2022) - [j11]Min Wang, Libing Wu, Man Li, Dan Wu, Xiaochuan Shi, Chao Ma:
Meta-learning based spatial-temporal graph attention network for traffic signal control. Knowl. Based Syst. 250: 109166 (2022) - [j10]Zhuangzhuang Zhang, Libing Wu, Debiao He, Qian Wang, Dan Wu, Xiaochuan Shi, Chao Ma:
G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning. IEEE Trans. Netw. Serv. Manag. 19(4): 4219-4231 (2022) - [j9]Rui Zhang, Libing Wu, Shuqin Cao, Xinrong Hu, Shan Xue, Dan Wu, Qingan Li:
Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV. ACM Trans. Internet Techn. 22(2): 51:1-51:24 (2022) - [c41]Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu:
Multi-dimensional alignment via Variational Autoencoders for Generalized Zero-Shot and Few-Shot Learning. BESC 2022: 1-4 - [c40]Dan Wu, Imran Shafiq Ahmad, Rachit Tomar:
Emergency Evacuation Software Simulation Process for Physical Changes. I4CS 2022: 99-115 - [c39]Shuqin Cao, Libing Wu, Rui Zhang, Jianxin Li, Dan Wu:
Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction. IJCNN 2022: 1-8 - [c38]Min Wang, Libing Wu, Jianxin Li, Dan Wu, Chao Ma:
Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data. IJCNN 2022: 1-8 - 2021
- [j8]Libing Wu, Rui Zhang, Ruiting Zhou, Dan Wu:
An edge computing based data detection scheme for traffic light at intersections. Comput. Commun. 176: 91-98 (2021) - [c37]Libing Wu, Min Wang, Dan Wu, Jia Wu:
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. CIKM 2021: 2150-2159 - [c36]Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu:
A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control. IJCNN 2021: 1-8 - [c35]Zhenchang Xia, Jinxing Wu, Libing Wu, Jichao Yuan, Jingzhi Zhang, Jianxin Li, Dan Wu:
RLCC: Practical Learning-based Congestion Control for the Internet. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [j7]Libing Wu, Zhijuan He, Yanjiao Chen, Dan Wu, Jianqun Cui:
Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows. IEEE Access 7: 19643-19652 (2019) - [j6]Libing Wu, Lei Nie, Samee U. Khan, Osman Khalid, Dan Wu:
A V2I communication-based pipeline model for adaptive urban traffic light scheduling. Frontiers Comput. Sci. 13(5): 929-942 (2019) - 2015
- [c34]Raja Sankar Dileep Muddu, Dan Wu, Libing Wu:
A frontier based multi-robot approach for coverage of unknown environments. ROBIO 2015: 72-77 - 2012
- [c33]S. Hamid Dezfoulian, Dan Wu, Imran Shafiq Ahmad:
A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. IAS (1) 2012: 25-42 - 2011
- [c32]Karen H. Jin, Dan Wu:
Optimizing Local Computation for Cooperative Probabilistic Reasoning. FLAIRS 2011 - 2010
- [c31]Karen H. Jin, Dan Wu:
Local Importance Sampling in Multiply Sectioned Bayesian Networks. FLAIRS 2010 - [c30]Yuefeng Wang, Dan Wu, Libing Wu:
A dynamic size MCL algorithm for mobile robot localization. ROBIO 2010: 785-790
2000 – 2009
- 2009
- [j5]Eric Neufeld, Dan Wu:
Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006). Int. J. Approx. Reason. 50(9): 1331-1332 (2009) - [c29]Libing Wu, Shengchao Ding, Chanle Wu, Dan Wu, Bo Chen:
The Research and Emulation on PIM-SM Protocol. HPCA (China) 2009: 465-472 - [c28]Dibyendu Mukherjee, Ashirbani Saha, Pankajkumar Mendapara, Dan Wu, Q. M. Jonathan Wu:
A cost effective probabilistic approach to localization and mapping. EIT 2009: 359-366 - [c27]Karen H. Jin, Dan Wu, Libing Wu:
On designing approximate inference algorithms for multiply sectioned Bayesian networks. GrC 2009: 294-299 - [c26]Dan Wu, Nasreen Mirza Tania, Karen H. Jin:
Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees. ICTAI 2009: 581-588 - [c25]Karen H. Jin, Dan Wu:
MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring. ICTAI 2009: 589-596 - [c24]Sepideh Seifzadeh, Dan Wu, Yuefeng Wang:
Cost-effective active localization technique for mobile robots. ROBIO 2009: 539-543 - [c23]Dan Wu, Jingxi Chen, Yuefeng Wang:
Bring consciousness to mobile robot being localized. ROBIO 2009: 741-746 - [c22]Yuefeng Wang, Dan Wu, Sepideh Seifzadeh, Jingxi Chen:
A moving grid cell based MCL algorithm for mobile robot localization. ROBIO 2009: 2445-2450 - 2008
- [c21]Karen H. Jin, Dan Wu:
Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks. Canadian AI 2008: 150-162 - [c20]Karen H. Jin, Dan Wu, Libing Wu:
An Improved Architecture for Iterative Message Passing in MSBN. CSSE (1) 2008: 407-410 - [c19]Karen H. Jin, Dan Wu:
Marginal Calibration in Multi-agent Probabilistic Systems. ICTAI (2) 2008: 171-178 - [c18]Libing Wu, Yanxiang He, Dan Wu, Jianqun Cui:
A Novel Interoperable Model of Distributed UDDI. NAS 2008: 153-154 - [c17]Libing Wu, Yanxiang He, Dan Wu, Simeng Wang, Bo Chen:
GMF-BMA: A New Grid Resource Monitoring Model. PACIIA (2) 2008: 766-770 - [c16]Dan Wu, Huaicheng Su:
An improved probabilistic approach for collaborative multi-robot localization. ROBIO 2008: 1868-1875 - 2007
- [j4]Dan Wu:
Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective. Int. J. Approx. Reason. 46(2): 334-345 (2007) - [c15]Dan Wu, Liu He:
Path Propagation for Inference in Bayesian Networks. Canadian AI 2007: 381-392 - 2006
- [c14]Dan Wu, Karen H. Jin:
Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application. FLAIRS 2006: 55-61 - 2005
- [j3]Dan Wu, S. K. Michael Wong:
Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13(5): 539-560 (2005) - [c13]Dan Wu, S. K. Michael Wong:
Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective. FLAIRS 2005: 793-798 - [c12]Dan Wu, Cory J. Butz:
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. RSFDGrC (1) 2005: 581-590 - 2004
- [j2]Dan Wu, S. K. Michael Wong:
The marginal factorization of Bayesian networks and its application. Int. J. Intell. Syst. 19(8): 769-786 (2004) - 2003
- [c11]Cory J. Butz, S. K. Michael Wong, Dan Wu:
A New Inference Axiom for Probabilistic Conditional Independence. AI 2003: 568-574 - [c10]S. K. Michael Wong, Dan Wu, Cory J. Butz:
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. AI 2003: 583-590 - [c9]S. K. Michael Wong, Dan Wu:
A Simple Method for Identifying Compelled Edges in DAGs. FLAIRS 2003: 516-520 - [c8]S. K. Michael Wong, Dan Wu:
A Common Framework for Rough Sets, Databases, and Bayesian Networks. RSFDGrC 2003: 99-103 - [c7]S. K. Michael Wong, Dan Wu, Yiyu Yao:
Critical Remarks on the Computational Complexity in Probabilistic Inference. RSFDGrC 2003: 676-681 - 2002
- [c6]S. K. Michael Wong, Dan Wu, Tao Lin:
A Structural Characterization of DAG-Isomorphic Dependency Models. AI 2002: 195-209 - [c5]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Non-redundant Cover for Conditional Independencies. AI 2002: 210-220 - [c4]S. K. Michael Wong, Dan Wu:
Automated mining of granular database scheme. FUZZ-IEEE 2002: 690-694 - [c3]S. K. Michael Wong, Dan Wu:
An Algebraic Characterization of Equivalent Bayesian Networks. Intelligent Information Processing 2002: 177-187 - [c2]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Bayesian DAG from Conditional Independencies. AI&M 2002 - [c1]S. K. Michael Wong, Dan Wu, Cory J. Butz:
Triangulation of Bayesian Networks: A Relational Database Perspective. Rough Sets and Current Trends in Computing 2002: 389-396 - 2000
- [j1]S. K. Michael Wong, Cory J. Butz, Dan Wu:
On the implication problem for probabilistic conditional independency. IEEE Trans. Syst. Man Cybern. Part A 30(6): 785-805 (2000)
Coauthor Index
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