Hao Wang

73 papers A* 5B 1C 1Misc 2Journal 53Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning embedded label-specific features for partial multi-label learning.
Pattern Recognit.
Xiaohan Xu, Hao Wang, Jialu Yao, Zan Zhang
2025 J jnl
Federated local causal structure learning.
Sci. China Inf. Sci.
Kui Yu, Chen Rong, Hao Wang, Fuyuan Cao, Jiye Liang
2025 J jnl
Multi-agent reinforcement learning based on self-satisfaction in sparse reward scenarios.
Int. J. Bio Inspired Comput.
Baofu Fang, Dandan Tang, Zaijun Wang, Hao Wang
2024 J jnl
Bootstrap-Based Layerwise Refining for Causal Structure Learning.
IEEE Trans. Artif. Intell.
Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, Yukun Song
2024 J jnl
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data
Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li
2024 — conf
Instance-Level Neural Feature Selection Based on Disentanglement Enhancement.
ICKG
Zihao Liu, Jun Pan, Hao Wang, Kui Yu
2024 J jnl
Intelligent Fusion Recommendation Algorithm for Social Network Based on Fuzzy Perception.
Comput. Informatics
Lulu Dong, Ning Ma, Hao Wang
2024 A* conf
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
IJCAI
Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li
2023 J jnl
Fact-based Agent modeling for Multi-Agent Reinforcement Learning.
CoRR
Baofu Fang, Caiming Zheng, Hao Wang
2023 J jnl
Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2023 J jnl
Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning.
IEEE Trans. Fuzzy Syst.
Baofu Fang, Caiming Zheng, Hao Wang, Tingting Yu
2022 J jnl
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern.
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
2022 J jnl
Error-aware Markov blanket learning for causal feature selection.
Inf. Sci.
Xianjie Guo, Kui Yu, Fuyuan Cao, Pei-Pei Li, Hao Wang
2022 J jnl
Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks.
Complex.
Xiaoling Huang, Lei Li, Hao Wang, Chengxiang Hu, Xiaohan Xu, Changlin Wu
2022 J jnl
Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2021 J jnl
Any Part of Bayesian Network Structure Learning.
CoRR
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
2021 J jnl
Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv.
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2021 J jnl
Continual Learning with Knowledge Transfer for Sentiment Classification.
CoRR
Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2021 J jnl
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.
CoRR
Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li
2021 J jnl
Microbloggers' interest inference using a subgraph stream.
Intell. Data Anal.
Xiaoling Huang, Hao Wang, Lei Li, Yi Zhu, Chengxiang Hu
2021 — conf
RGB-D Visual Odometry Based on Semantic Feature Points in Dynamic Environments.
CICAI (2)
Hao Wang, Yincan Wang, Baofu Fang
2021 J jnl
Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction.
Symmetry
Yongjun Jing, Hao Wang, Kun Shao, Xing Huo
2021 J jnl
Towards Efficient Local Causal Structure Learning.
CoRR
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2021 J jnl
Using Feature Selection for Local Causal Structure Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu
2020 J jnl
An improved CapsNet applied to recognition of 3D vertebral images.
Appl. Intell.
Hao Wang, Kun Shao, Xing Huo
2020 — conf
Continual Learning with Knowledge Transfer for Sentiment Classification.
ECML/PKDD (3)
Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2020 J jnl
Facial expression recognition using iterative fusion of MO-HOG and deep features.
J. Supercomput.
Hao Wang, Senbing Wei, Baofu Fang
2020 — conf
Large-Scale Multi-agent Reinforcement Learning Based on Weighted Mean Field.
ICCSIP
Baofu Fang, Bin Wu, Zaijun Wang, Hao Wang
2020 J jnl
Learning causal representations for robust domain adaptation.
CoRR
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
2020 J jnl
Representation learning via serial robust autoencoder for domain adaptation.
Expert Syst. Appl.
Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu
2020 — conf
Robust Visual Odometry Using Semantic Information in Complex Dynamic Scenes.
ICCSIP
Hao Wang, Le Wang, Baofu Fang
2020 J jnl
Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst.
Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu
2020 J jnl
Temporal-spatial consistency of self-adaptive target response for long-term correlation filter tracking.
Signal Image Video Process.
Hao Wang, Zhongpei Wang, Baofu Fang, Yingqiao Bu
2020 J jnl
Towards efficient and effective discovery of Markov blankets for feature selection.
Inf. Sci.
Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu
2020 J jnl
Unsupervised Graph Representation Learning With Variable Heat Kernel.
IEEE Access
Yongjun Jing, Hao Wang, Kun Shao, Xing Huo, Yangyang Zhang
2019 J jnl
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol.
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
2019 J jnl
Causality-based Feature Selection: Methods and Evaluations.
CoRR
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2019 J jnl
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.
IEEE Access
Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang
2019 J jnl
Semi-supervised representation learning via dual autoencoders for domain adaptation.
CoRR
Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
2018 J jnl
Coalitional Skill Games for Self-Interested robots with SVO.
Int. J. Robotics Autom.
Ming-Lan Fu, Hao Wang, Baofu Fang
2018 J jnl
Collective behavior learning by differentiating personal preference from peer influence.
Knowl. Based Syst.
Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer
2018 J jnl
Generalized linear discriminant analysis based on euclidean norm for gait recognition.
Int. J. Mach. Learn. Cybern.
Hao Wang, Yuanyuan Fan, Baofu Fang, Shuanglu Dai
2018 J jnl
Microblog oriented interest extraction with both content and network structure.
Intell. Data Anal.
Hao Wang, Xiaoling Huang, Lei Li
2018 J jnl
Multi-label relational classification via node and label correlation.
Neurocomputing
Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li
2018 J jnl
Personality driven task allocation for emotional robot team.
Int. J. Mach. Learn. Cybern.
Baofu Fang, Quan Zhang, Hao Wang, Xiaohui Yuan
2018 J jnl
Support vector correlation filter with long-term tracking.
Signal Image Video Process.
Zhongpei Wang, Hao Wang, Baofu Fang, Chengjun Xie
2018 J jnl
Task selection strategies of self-interested robots in skill games.
Int. J. Wirel. Mob. Comput.
Hao Wang, Ming-Lan Fu, Baofu Fang
2018 J jnl
Utility Distribution Strategy of the Task Agents in Coalition Skill Games.
Algorithms
Ming-Lan Fu, Hao Wang, Baofu Fang
2018 — conf
Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?
WISE (1)
Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu
2017 J jnl
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
2017 J jnl
Robust object tracking via multi-scale patch based sparse coding histogram.
Multim. Tools Appl.
Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen, Chengjun Xie
2016 — conf
Study on Agent-Updating Algorithms for Coalition Skill Games.
ISCID (2)
Ming-Lan Fu, Hao Wang, Baofu Fang, Xialing Huang
2016 J jnl
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
Hao Wang, Haiping Wang, Xindong Wu
2016 J jnl
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
Hongliang Yao, Man Huang, Hao Wang, Junzhao Li
2015 J jnl
An Incremental Decision Tree for Mining Multilabel Data.
Appl. Artif. Intell.
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015 J jnl
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
ACM Trans. Knowl. Discov. Data
Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu
2015 — conf
Core Network Based Multi-label Classification in Large-Scale Social Network Environments.
ICDM Workshops
Zan Zhang, Hao Wang, Lei Li, Guanfeng Liu
2015 J jnl
Learning concept-drifting data streams with random ensemble decision trees.
Neurocomputing
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2014 — conf
An alliance generation algorithm based on modified particle swarm optimization for multiple emotional robots pursuit-evader problem.
FSKD
Hao Wang, Cheng Luo, Baofu Fang
2014 — conf
Human Detection Algorithm Based on Edge Symmetry.
RiTA
Hao Wang, Jinjin Chen, Baofu Fang, Shuanglu Dai
2013 J jnl
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Kui Yu, Wei Ding, Hao Wang, Xindong Wu
2013 A* conf
Markov Blanket Feature Selection with Non-faithful Data Distributions.
ICDM
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
2013 J jnl
Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
2012 J jnl
An new immune genetic algorithm based on uniform design sampling.
Knowl. Inf. Syst.
Benda Zhou, Hongliang Yao, Ming-Hua Shi, Qin Yue, Hao Wang
2012 J jnl
Exploring Causal Relationships with Streaming Features.
Comput. J.
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
2011 A* conf
Causal Associative Classification.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
2011 Misc conf
L1 regularized ordering for learning Bayesian network classifiers.
ICNC
Ying Wang, Hao Wang, Kui Yu, Hongliang Yao
2010 A* conf
Causal Discovery from Streaming Features.
ICDM
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
2010 A* conf
Online Streaming Feature Selection.
ICML
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
2010 — conf
Online causal discovery.
IEEE ICCI
Kui Yu, Xindong Wu, Hao Wang
2009 Misc conf
Junction Tree Factored Particle Inference Algorithm for Multi-Agent Dynamic Influence Diagrams.
FAW
Hongliang Yao, Jian Chang, Caizi Jiang, Hao Wang
2007 B conf
A Parallel Algorithm for Learning Bayesian Networks.
PAKDD
Kui Yu, Hao Wang, Xindong Wu
2006 C conf
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
ISMIS
Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao