Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. - Hao Wang 008; Kui Yu; Xindong Wu 001; Hongliang Yao (ISMIS, 2006)

A Parallel Algorithm for Learning Bayesian Networks. - Kui Yu; Hao Wang 008; Xindong Wu 001 (PAKDD, 2007)

Junction Tree Factored Particle Inference Algorithm for Multi-Agent Dynamic Influence Diagrams. - Hongliang Yao; Jian Chang; Caizi Jiang; Hao Wang 008 (FAW, 2009)

Online causal discovery. - Kui Yu; Xindong Wu 001; Hao Wang 008 (IEEE ICCI, 2010)

Causal Discovery from Streaming Features. - Kui Yu; Xindong Wu 001; Hao Wang 008; Wei Ding 003 (ICDM, 2010)

Online Streaming Feature Selection. - Xindong Wu 001; Kui Yu; Hao Wang 008; Wei Ding 003 (ICML, 2010)

Causal Associative Classification. - Kui Yu; Xindong Wu 001; Wei Ding 003; Hao Wang 008; Hongliang Yao (ICDM, 2011)

L1 regularized ordering for learning Bayesian network classifiers. - Ying Wang; Hao Wang 008; Kui Yu; Hongliang Yao (ICNC, 2011)

Exploring Causal Relationships with Streaming Features. - Kui Yu; Xindong Wu 001; Wei Ding 003; Hao Wang 008 (Comput. J., 2012)

An new immune genetic algorithm based on uniform design sampling. - Benda Zhou; Hongliang Yao; Ming-Hua Shi; Qin Yue; Hao Wang 008 (Knowl. Inf. Syst., 2012)

Markov Blanket Feature Selection with Non-faithful Data Distributions. - Kui Yu; Xindong Wu 001; Zan Zhang 002; Yang Mu; Hao Wang 008; Wei Ding 003 (ICDM, 2013)

Online Feature Selection with Streaming Features. - Xindong Wu 001; Kui Yu; Wei Ding 003; Hao Wang 008; Xingquan Zhu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. - Kui Yu; Wei Ding 003; Hao Wang 008; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2013)

An alliance generation algorithm based on modified particle swarm optimization for multiple emotional robots pursuit-evader problem. - Hao Wang 008; Cheng Luo; Baofu Fang (FSKD, 2014)

Human Detection Algorithm Based on Edge Symmetry. - Hao Wang 008; Jinjin Chen; Baofu Fang; Shuanglu Dai (RiTA, 2014)

Core Network Based Multi-label Classification in Large-Scale Social Network Environments. - Zan Zhang 002; Hao Wang 008; Lei Li 002; Guanfeng Liu 001 (ICDM Workshops, 2015)

An Incremental Decision Tree for Mining Multilabel Data. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu; Hao Wang 008 (Appl. Artif. Intell., 2015)

Learning concept-drifting data streams with random ensemble decision trees. - Pei-Pei Li 001; Xindong Wu 001; Xuegang Hu; Hao Wang 008 (Neurocomputing, 2015)

Classification with Streaming Features: An Emerging-Pattern Mining Approach. - Kui Yu; Wei Ding 003; Dan A. Simovici; Hao Wang 008; Jian Pei 001; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2015)

Study on Agent-Updating Algorithms for Coalition Skill Games. - Ming-Lan Fu; Hao Wang 008; Baofu Fang; Xialing Huang (ISCID (2), 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). - Hao Wang 008; Haiping Wang 001; Xindong Wu 001 (计算机科学, 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). - Hongliang Yao; Man Huang; Hao Wang 008; Junzhao Li (计算机科学, 2016)

Robust object tracking via multi-scale patch based sparse coding histogram. - Zhongpei Wang; Hao Wang 008; Jieqing Tan; Peng Chen 001; Chengjun Xie (Multim. Tools Appl., 2017)

Markov Blanket Feature Selection Using Representative Sets. - Kui Yu; Xindong Wu 001; Wei Ding 003; Yang Mu; Hao Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? - Zan Zhang 002; Jiuyong Li; Hao Wang 008; Lin Liu 003; Jixue Liu (WISE (1), 2018)

Utility Distribution Strategy of the Task Agents in Coalition Skill Games. - Ming-Lan Fu; Hao Wang 008; Baofu Fang (Algorithms, 2018)

Microblog oriented interest extraction with both content and network structure. - Hao Wang 008; Xiaoling Huang; Lei Li 002 (Intell. Data Anal., 2018)

Multi-label relational classification via node and label correlation. - Zan Zhang 002; Hao Wang 008; Lin Liu 003; Jiuyong Li (Neurocomputing, 2018)

Coalitional Skill Games for Self-Interested robots with SVO. - Ming-Lan Fu; Hao Wang 008; Baofu Fang (Int. J. Robotics Autom., 2018)

Task selection strategies of self-interested robots in skill games. - Hao Wang 008; Ming-Lan Fu; Baofu Fang (Int. J. Wirel. Mob. Comput., 2018)

Collective behavior learning by differentiating personal preference from peer influence. - Zan Zhang 002; Lin Liu 003; Hao Wang 008; Jiuyong Li; Daning Hu; Jiaqi Yan; René Algesheimer; Markus Meierer (Knowl. Based Syst., 2018)

Personality driven task allocation for emotional robot team. - Baofu Fang; Quan Zhang; Hao Wang 008; Xiaohui Yuan 001 (Int. J. Mach. Learn. Cybern., 2018)

Generalized linear discriminant analysis based on euclidean norm for gait recognition. - Hao Wang 008; Yuanyuan Fan; Baofu Fang; Shuanglu Dai (Int. J. Mach. Learn. Cybern., 2018)

Support vector correlation filter with long-term tracking. - Zhongpei Wang; Hao Wang 008; Baofu Fang; Chengjun Xie (Signal Image Video Process., 2018)

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. - Yuhong Zhang 002; Shuai Yang 003; Peipei Li 001; Xuegang Hu; Hao Wang 008 (IEEE Access, 2019)

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. - Zhaolong Ling; Kui Yu; Hao Wang 008; Lin Liu 003; Wei Ding 003; Xindong Wu 001 (ACM Trans. Intell. Syst. Technol., 2019)

Large-Scale Multi-agent Reinforcement Learning Based on Weighted Mean Field. - Baofu Fang; Bin Wu; Zaijun Wang; Hao Wang 008 (ICCSIP, 2020)

Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes. - Hao Wang 008; Le Wang; Baofu Fang (ICCSIP, 2020)

Continual Learning with Knowledge Transfer for Sentiment Classification. - Zixuan Ke; Bing Liu 001; Hao Wang 008; Lei Shu 004 (ECML/PKDD (3), 2020)

Unsupervised Graph Representation Learning With Variable Heat Kernel. - Yongjun Jing; Hao Wang 008; Kun Shao; Xing Huo; Yangyang Zhang 004 (IEEE Access, 2020)

An improved CapsNet applied to recognition of 3D vertebral images. - Hao Wang 008; Kun Shao; Xing Huo (Appl. Intell., 2020)

Representation learning via serial robust autoencoder for domain adaptation. - Shuai Yang 003; Yuhong Zhang 002; Hao Wang 008; Peipei Li 001; Xuegang Hu (Expert Syst. Appl., 2020)

Towards efficient and effective discovery of Markov blankets for feature selection. - Hao Wang 008; Zhaolong Ling; Kui Yu; Xindong Wu 001 (Inf. Sci., 2020)

Semi-supervised representation learning via dual autoencoders for domain adaptation. - Shuai Yang 003; Hao Wang 008; Yuhong Zhang 002; Peipei Li 001; Yi Zhu 006; Xuegang Hu (Knowl. Based Syst., 2020)

Temporal-spatial consistency of self-adaptive target response for long-term correlation filter tracking. - Hao Wang 008; Zhongpei Wang; Baofu Fang; Yingqiao Bu (Signal Image Video Process., 2020)

Facial expression recognition using iterative fusion of MO-HOG and deep features. - Hao Wang 008; Senbing Wei; Baofu Fang (J. Supercomput., 2020)

RGB-D Visual Odometry Based on Semantic Feature Points in Dynamic Environments. - Hao Wang 008; Yincan Wang; Baofu Fang (CICAI (2), 2021)

Any Part of Bayesian Network Structure Learning. - Zhaolong Ling; Kui Yu; Hao Wang 008; Lin Liu 003; Jiuyong Li (CoRR, 2021)

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. - Kui Yu; Zhaolong Ling; Lin Liu 003; Hao Wang 008; Jiuyong Li (CoRR, 2021)

Causality-based Feature Selection: Methods and Evaluations. - Kui Yu; Xianjie Guo; Lin Liu 003; Jiuyong Li; Hao Wang 008; Zhaolong Ling; Xindong Wu 001 (ACM Comput. Surv., 2021)

Microbloggers' interest inference using a subgraph stream. - Xiaoling Huang; Hao Wang 008; Lei Li 002; Yi Zhu 006; Chengxiang Hu (Intell. Data Anal., 2021)

Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction. - Yongjun Jing; Hao Wang 008; Kun Shao; Xing Huo (Symmetry, 2021)

Using Feature Selection for Local Causal Structure Learning. - Zhaolong Ling; Kui Yu; Hao Wang 008; Lei Li 002; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks. - Xiaoling Huang; Lei Li 002; Hao Wang 008; Chengxiang Hu; Xiaohan Xu; Changlin Wu (Complex., 2022)

Error-aware Markov blanket learning for causal feature selection. - Xianjie Guo; Kui Yu; Fuyuan Cao; Pei-Pei Li 001; Hao Wang 008 (Inf. Sci., 2022)

Towards Efficient Local Causal Structure Learning. - Shuai Yang 003; Hao Wang 008; Kui Yu; Fuyuan Cao; Xindong Wu 001 (IEEE Trans. Big Data, 2022)

Dual-Representation-Based Autoencoder for Domain Adaptation. - Shuai Yang 003; Kui Yu; Fuyuan Cao; Hao Wang 008; Xindong Wu 001 (IEEE Trans. Cybern., 2022)

Fact-based Agent modeling for Multi-Agent Reinforcement Learning. - Baofu Fang; Caiming Zheng; Hao Wang 008 (CoRR, 2023)

Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning. - Baofu Fang; Caiming Zheng; Hao Wang 008; Tingting Yu (IEEE Trans. Fuzzy Syst., 2023)

Learning Causal Representations for Robust Domain Adaptation. - Shuai Yang 003; Kui Yu; Fuyuan Cao; Lin Liu 003; Hao Wang 008; Jiuyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Instance-Level Neural Feature Selection Based on Disentanglement Enhancement. - Zihao Liu; Jun Pan; Hao Wang 008; Kui Yu (ICKG, 2024)

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. - Xianjie Guo; Kui Yu; Hao Wang 008; Lizhen Cui; Han Yu 001; Xiaoxiao Li (IJCAI, 2024)

Intelligent Fusion Recommendation Algorithm for Social Network Based on Fuzzy Perception. - Lulu Dong; Ning Ma; Hao Wang 008 (Comput. Informatics, 2024)

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. - Kui Yu; Zhaolong Ling; Lin Liu 003; Peipei Li 001; Hao Wang 008; Jiuyong Li (ACM Trans. Knowl. Discov. Data, 2024)

Bootstrap-Based Layerwise Refining for Causal Structure Learning. - Guodu Xiang; Hao Wang 008; Kui Yu; Xianjie Guo; Fuyuan Cao; Yukun Song (IEEE Trans. Artif. Intell., 2024)

Federated local causal structure learning. - Kui Yu; Chen Rong; Hao Wang 008; Fuyuan Cao; Jiye Liang (Sci. China Inf. Sci., 2025)

Multi-agent reinforcement learning based on self-satisfaction in sparse reward scenarios. - Baofu Fang; Dandan Tang; Zaijun Wang; Hao Wang 008 (Int. J. Bio Inspired Comput., 2025)

Learning embedded label-specific features for partial multi-label learning. - Xiaohan Xu; Hao Wang 008; Jialu Yao; Zan Zhang 002 (Pattern Recognit., 2026)