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 60 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning.
IEEE Trans. Fuzzy Syst., February, 2023

Fact-based Agent modeling for Multi-Agent Reinforcement Learning.
CoRR, 2023

2022
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern., 2022

Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data, 2022

Error-aware Markov blanket learning for causal feature selection.
Inf. Sci., 2022

Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks.
Complex., 2022

2021
Using Feature Selection for Local Causal Structure Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction.
Symmetry, 2021

Microbloggers' interest inference using a subgraph stream.
Intell. Data Anal., 2021

Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv., 2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.
CoRR, 2021

Any Part of Bayesian Network Structure Learning.
CoRR, 2021

RGB-D Visual Odometry Based on Semantic Feature Points in Dynamic Environments.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Facial expression recognition using iterative fusion of MO-HOG and deep features.
J. Supercomput., 2020

Temporal-spatial consistency of self-adaptive target response for long-term correlation filter tracking.
Signal Image Video Process., 2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst., 2020

Towards efficient and effective discovery of Markov blankets for feature selection.
Inf. Sci., 2020

Representation learning via serial robust autoencoder for domain adaptation.
Expert Syst. Appl., 2020

An improved CapsNet applied to recognition of 3D vertebral images.
Appl. Intell., 2020

Unsupervised Graph Representation Learning With Variable Heat Kernel.
IEEE Access, 2020

Continual Learning with Knowledge Transfer for Sentiment Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Large-Scale Multi-agent Reinforcement Learning Based on Weighted Mean Field.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol., 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.
IEEE Access, 2019

2018
Support vector correlation filter with long-term tracking.
Signal Image Video Process., 2018

Generalized linear discriminant analysis based on euclidean norm for gait recognition.
Int. J. Mach. Learn. Cybern., 2018

Personality driven task allocation for emotional robot team.
Int. J. Mach. Learn. Cybern., 2018

Collective behavior learning by differentiating personal preference from peer influence.
Knowl. Based Syst., 2018

Task selection strategies of self-interested robots in skill games.
Int. J. Wirel. Mob. Comput., 2018

Coalitional Skill Games for Self-Interested robots with SVO.
Int. J. Robotics Autom., 2018

Multi-label relational classification via node and label correlation.
Neurocomputing, 2018

Microblog oriented interest extraction with both content and network structure.
Intell. Data Anal., 2018

Utility Distribution Strategy of the Task Agents in Coalition Skill Games.
Algorithms, 2018

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2017
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Networks Learn. Syst., 2017

Robust object tracking via multi-scale patch based sparse coding histogram.
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).
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).
计算机科学, 2016

Study on Agent-Updating Algorithms for Coalition Skill Games.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2015
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
ACM Trans. Knowl. Discov. Data, 2015

Learning concept-drifting data streams with random ensemble decision trees.
Neurocomputing, 2015

An Incremental Decision Tree for Mining Multilabel Data.
Appl. Artif. Intell., 2015

Core Network Based Multi-label Classification in Large-Scale Social Network Environments.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Human Detection Algorithm Based on Edge Symmetry.
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.
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.
IEEE Trans. Knowl. Data Eng., 2013

Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
An new immune genetic algorithm based on uniform design sampling.
Knowl. Inf. Syst., 2012

Exploring Causal Relationships with Streaming Features.
Comput. J., 2012

2011
L1 regularized ordering for learning Bayesian network classifiers.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Causal Associative Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Online Streaming Feature Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Discovery from Streaming Features.
Proceedings of the ICDM 2010, 2010

Online causal discovery.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Junction Tree Factored Particle Inference Algorithm for Multi-Agent Dynamic Influence Diagrams.
Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

2007
A Parallel Algorithm for Learning Bayesian Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006


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