Hao Wang

Orcid: 0000-0002-5963-6252

Affiliations:

Hefei University of Technology, School of Computer Science and Information Engineering, MoE Key Laboratory of Knowledge Engineering with Big Data, China (PhD 1997)

According to our database¹, Hao Wang authored at least 64 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Bootstrap-Based Layerwise Refining for Causal Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., June, 2024

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

Intelligent Fusion Recommendation Algorithm for Social Network Based on Fuzzy Perception.

[BibT_eX]

[DOI]

Lulu Dong

Ning Ma

Hao Wang

Comput. Informatics, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Learning Causal Representations for Robust Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., February, 2023

Fact-based Agent modeling for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Baofu Fang

Caiming Zheng

Hao Wang

CoRR, 2023

2022

Dual-Representation-Based Autoencoder for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Towards Efficient Local Causal Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Error-aware Markov blanket learning for causal feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks.

[BibT_eX]

[DOI]

Complex., 2022

2021

Using Feature Selection for Local Causal Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction.

[BibT_eX]

[DOI]

Symmetry, 2021

Microbloggers' interest inference using a subgraph stream.

[BibT_eX]

[DOI]

Intell. Data Anal., 2021

Causality-based Feature Selection: Methods and Evaluations.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Any Part of Bayesian Network Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2021

RGB-D Visual Odometry Based on Semantic Feature Points in Dynamic Environments.

[BibT_eX]

[DOI]

Hao Wang

Yincan Wang

Baofu Fang

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Facial expression recognition using iterative fusion of MO-HOG and deep features.

[BibT_eX]

[DOI]

Hao Wang

Senbing Wei

Baofu Fang

J. Supercomput., 2020

Temporal-spatial consistency of self-adaptive target response for long-term correlation filter tracking.

[BibT_eX]

[DOI]

Signal Image Video Process., 2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Towards efficient and effective discovery of Markov blankets for feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Representation learning via serial robust autoencoder for domain adaptation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

An improved CapsNet applied to recognition of 3D vertebral images.

[BibT_eX]

[DOI]

Hao Wang

Kun Shao

Xing Huo

Appl. Intell., 2020

Unsupervised Graph Representation Learning With Variable Heat Kernel.

[BibT_eX]

[DOI]

IEEE Access, 2020

Continual Learning with Knowledge Transfer for Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes.

[BibT_eX]

[DOI]

Hao Wang

Le Wang

Baofu Fang

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Large-Scale Multi-agent Reinforcement Learning Based on Weighted Mean Field.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Support vector correlation filter with long-term tracking.

[BibT_eX]

[DOI]

Signal Image Video Process., 2018

Generalized linear discriminant analysis based on euclidean norm for gait recognition.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2018

Personality driven task allocation for emotional robot team.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2018

Collective behavior learning by differentiating personal preference from peer influence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Task selection strategies of self-interested robots in skill games.

[BibT_eX]

[DOI]

Hao Wang

Ming-Lan Fu

Baofu Fang

Int. J. Wirel. Mob. Comput., 2018

Coalitional Skill Games for Self-Interested robots with SVO.

[BibT_eX]

[DOI]

Ming-Lan Fu

Hao Wang

Baofu Fang

Int. J. Robotics Autom., 2018

Multi-label relational classification via node and label correlation.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Microblog oriented interest extraction with both content and network structure.

[BibT_eX]

[DOI]

Hao Wang

Xiaoling Huang

Lei Li

Intell. Data Anal., 2018

Utility Distribution Strategy of the Task Agents in Coalition Skill Games.

[BibT_eX]

[DOI]

Ming-Lan Fu

Hao Wang

Baofu Fang

Algorithms, 2018

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2017

Markov Blanket Feature Selection Using Representative Sets.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Robust object tracking via multi-scale patch based sparse coding histogram.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

2016

特征背离和风险偏好分析的股价态势预测方法 (Trend Forecast of Stock Price Based on Deviated Characteristics and Risk Preference).

[BibT_eX]

[DOI]

计算机科学, 2016

带有通配符和长度约束的模式匹配问题求解模型 (Models for Pattern Matching with Wildcards and Length Constraints).

[BibT_eX]

[DOI]

Hao Wang

Haiping Wang

Xindong Wu

计算机科学, 2016

Study on Agent-Updating Algorithms for Coalition Skill Games.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2015

Classification with Streaming Features: An Emerging-Pattern Mining Approach.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

Learning concept-drifting data streams with random ensemble decision trees.

[BibT_eX]

[DOI]

Neurocomputing, 2015

An Incremental Decision Tree for Mining Multilabel Data.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2015

Core Network Based Multi-label Classification in Large-Scale Social Network Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Human Detection Algorithm Based on Edge Symmetry.

[BibT_eX]

[DOI]

Proceedings of the Robot Intelligence Technology and Applications 3, 2014

An alliance generation algorithm based on modified particle swarm optimization for multiple emotional robots pursuit-evader problem.

[BibT_eX]

[DOI]

Hao Wang

Cheng Luo

Baofu Fang

Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013

Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Online Feature Selection with Streaming Features.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

An new immune genetic algorithm based on uniform design sampling.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2012

Exploring Causal Relationships with Streaming Features.

[BibT_eX]

[DOI]

Comput. J., 2012

2011

L1 regularized ordering for learning Bayesian network classifiers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Natural Computation, 2011

Causal Associative Classification.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Online Streaming Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Discovery from Streaming Features.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Online causal discovery.

[BibT_eX]

[DOI]

Kui Yu

Xindong Wu

Hao Wang

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Junction Tree Factored Particle Inference Algorithm for Multi-Agent Dynamic Influence Diagrams.

[BibT_eX]

[DOI]

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

2007

A Parallel Algorithm for Learning Bayesian Networks.

[BibT_eX]

[DOI]

Kui Yu

Hao Wang

Xindong Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Hao Wang

Timeline

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