Hao Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Pattern Matching

Feature Selection

Structure Learning

Top Venues

Intell. Data Anal.

Comput. Biol. Medicine

Publications

Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
Bootstrap-Based Layerwise Refining for Causal Structure Learning. IEEE Trans. Artif. Intell. 5 (6) (2024)
Lulu Dong, Ning Ma, Hao Wang
Intelligent Fusion Recommendation Algorithm for Social Network Based on Fuzzy Perception. Comput. Informatics 43 (1) (2024)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Baofu Fang, Caiming Zheng, Hao Wang
Fact-based Agent modeling for Multi-Agent Reinforcement Learning. CoRR (2023)
Baofu Fang, Caiming Zheng, Hao Wang, Tingting Yu
Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning. IEEE Trans. Fuzzy Syst. 31 (2) (2023)
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52 (8) (2022)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8 (6) (2022)
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
Error-aware Markov blanket learning for causal feature selection. Inf. Sci. 589 (2022)
Xiaoling Huang, Lei Li, Hao Wang, Chengxiang Hu, Xiaohan Xu, Changlin Wu
Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks. Complex. 2022 (2022)
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
Any Part of Bayesian Network Structure Learning. CoRR (2021)
Xiaoling Huang, Hao Wang, Lei Li, Yi Zhu, Chengxiang Hu
Microbloggers' interest inference using a subgraph stream. Intell. Data Anal. 25 (2) (2021)
Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu
Using Feature Selection for Local Causal Structure Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5 (4) (2021)
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Towards Efficient Local Causal Structure Learning. CoRR (2021)
Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR (2021)
Yongjun Jing, Hao Wang, Kun Shao, Xing Huo
Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction. Symmetry 13 (1) (2021)
Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190 (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53 (5) (2020)
Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu
Towards efficient and effective discovery of Markov blankets for feature selection. Inf. Sci. 509 (2020)
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
Learning causal representations for robust domain adaptation. CoRR (2020)
Hao Wang, Zhongpei Wang, Baofu Fang, Yingqiao Bu
Temporal-spatial consistency of self-adaptive target response for long-term correlation filter tracking. Signal Image Video Process. 14 (4) (2020)
Xing Huo, Hao Wang, Kun Shao, Jue Hua Jing, Dasheng Tian, Li Cheng
Automatic generation of pedicle contours in 3D vertebral models. Comput. Biol. Medicine 116 (2020)
Hao Wang, Kun Shao, Xing Huo
An improved CapsNet applied to recognition of 3D vertebral images. Appl. Intell. 50 (10) (2020)
Yongjun Jing, Hao Wang, Kun Shao, Xing Huo, Yangyang Zhang
Unsupervised Graph Representation Learning With Variable Heat Kernel. IEEE Access 8 (2020)
Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160 (2020)
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
Causality-based Feature Selection: Methods and Evaluations. CoRR (2019)
Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7 (2019)
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR (2019)
Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu
Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? WISE (1) (2018)
Kun Shao, Hao Wang, Bingnan Li, Dasheng Tian, Jue Hua Jing, Jieqing Tan, Xing Huo
Morphology-based realization of a rapid scoliosis correction simulation system. Comput. Biol. Medicine 94 (2018)
Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer
Collective behavior learning by differentiating personal preference from peer influence. Knowl. Based Syst. 159 (2018)
Zhongpei Wang, Hao Wang, Baofu Fang, Chengjun Xie
Support vector correlation filter with long-term tracking. Signal Image Video Process. 12 (8) (2018)
Hao Wang, Xiaoling Huang, Lei Li
Microblog oriented interest extraction with both content and network structure. Intell. Data Anal. 22 (3) (2018)
Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li
Multi-label relational classification via node and label correlation. Neurocomputing 292 (2018)
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen, Chengjun Xie
Robust object tracking via multi-scale patch based sparse coding histogram. Multim. Tools Appl. 76 (10) (2017)
Hongliang Yao, Man Huang, Hao Wang, Junzhao Li
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 43 (3) (2016)
Hao Wang, Haiping Wang, Xindong Wu
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 43 (4) (2016)
Zan Zhang, Hao Wang, Lei Li, Guanfeng Liu
Core Network Based Multi-label Classification in Large-Scale Social Network Environments. ICDM Workshops (2015)
Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu
Classification with Streaming Features: An Emerging-Pattern Mining Approach. ACM Trans. Knowl. Discov. Data 9 (4) (2015)
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166 (2015)
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
An Incremental Decision Tree for Mining Multilabel Data. Appl. Artif. Intell. 29 (10) (2015)
Kui Yu, Wei Ding, Hao Wang, Xindong Wu
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 25 (12) (2013)
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
Online Feature Selection with Streaming Features. IEEE Trans. Pattern Anal. Mach. Intell. 35 (5) (2013)
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM (2013)
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
Exploring Causal Relationships with Streaming Features. Comput. J. 55 (9) (2012)
Ben-Da Zhou, Hongliang Yao, Ming-Hua Shi, Qin Yue, Hao Wang
An new immune genetic algorithm based on uniform design sampling. Knowl. Inf. Syst. 31 (2) (2012)
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
Causal Associative Classification. ICDM (2011)
Ying Wang, Hao Wang, Kui Yu, Hongliang Yao
L1 regularized ordering for learning Bayesian network classifiers. ICNC (2011)
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
Causal Discovery from Streaming Features. ICDM (2010)
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
Online Streaming Feature Selection. ICML (2010)
Kui Yu, Xindong Wu, Hao Wang
Online causal discovery. IEEE ICCI (2010)
Hongliang Yao, Jian Chang, Caizi Jiang, Hao Wang
Junction Tree Factored Particle Inference Algorithm for Multi-Agent Dynamic Influence Diagrams. FAW (2009)
Kui Yu, Hao Wang, Xindong Wu
A Parallel Algorithm for Learning Bayesian Networks. PAKDD (2007)
Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. ISMIS (2006)