I am currently an Assistant Professor at the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics. I obtained my Ph.D. degree in 2023 from the College of Computer Science and Technology at Jilin University under the supervision of Prof. Liang Hu. Additionally, I was also guided by Prof. Wanfu Gao. I am also a member of CCCI Group (认知计算与群智协同创新团队), which is led by Prof. Xin Yang (杨新).

Research

The long-term research goal of our team is to develop robust and trustworthy machine learning methods for complex, high-dimensional and distributed data environments. Most recently, our research focuses on machine learning and its applications in data mining, following are some related research problems:

• How to select informative and non-redundant features from high-dimensional data?
  • Related Topics: Feature Selection, (Partial) Multi-label Learning, etc.
• How to uncover and leverage causal relationships in observational data?
  • Related Topics: Causal Inference, Causal Discovery, Information-Theoretic Methods, etc.
• How to collaboratively train models across decentralized data sources while preserving data privacy?
  • Related Topics: Federated Learning, Privacy-Preserving Machine Learning, etc.
• How to enable models to continually learn from non-stationary data without catastrophic forgetting?
  • Related Topics: Continual Learning, Lifelong Learning, Incremental Learning, etc.

Recruitment

招收对特征工程、因果推断、联邦学习、持续学习等人工智能和数据挖掘领域感兴趣，有较好编程基础的学生！
请通过邮箱 liyonghao@swufe.edu.cn 联系我，附上带普通生活照的个人简历、成绩单。

News

• 2026.01: 荣获西南财经大学研究生教学成果奖一等奖。
• 2025.12: 担任第六届大数据经济与信息化管理学术会议（BDEIM 2025）本地组织主席。
• 2025.11: 指导李响、黄小欧、游皓然等学生获2025年“华为杯”中国研究生数学建模竞赛二等奖(排名：660/14790)。
• 2025.11: 《联邦持续特征学习关键技术研究》获得中央高校基本科研业务费青年教师成长项目支持。
• 2025.11: 当选为中国中文信息学会大模型与生成专业委员会委员。
• 2025.10: “Negative Label-Aware and Correlation-Enhanced Multi-Label Feature Selection” is accepted by KBS.
• 2025.09：《基于复杂数据驱动的联邦持续特征选择研究》获得符号计算与知识工程教育部重点实验室第一批项目支持。
• 2025.09：”Multi-label feature selection with high-sparse personalized and low-redundancy shared common features”论文入选ESI高被引。
• 2025.08：当选为中国人工智能学会粒计算与知识发现专业委会委员。
• 2025.06: “Exploring multi-label feature selection via feature and label information supplementation” is accepted by EAAI.
• 2025.05: 指导谢天翊等学生的科研项目获大学生创新训练计划项目立项支持。
• 2025.04: “Multi-granularity Knowledge Transfer for Continual Reinforcement Learning” is accepted by IJCAI.
• 2025.04: “MI-MCF: A Mutual Information Based Multi-Label Causal Feature Selection” is accepted by IEEE TNNLS.
• 2024.11: “Fusion-enhanced multi-label feature selection with sparse supplementation” is accepted by Information Fusion.

Publications (Selected)

[1] Yonghao Li, Liang Hu, Wanfu Gao. Multi-label feature selection via robust flexible sparse regularization [J]. Pattern Recognition, 2023, 134: 109074. (中科院1区TOP期刊, 财大A类)

[2] Yonghao Li, Liang Hu, Wanfu Gao. Robust sparse and low-redundant multi-label feature selection with dynamic local and global structure preservation [J]. Pattern Recognition, 2023, 134: 109120. (中科院1区TOP期刊, 财大A类)

[3] Yonghao Li, Liang Hu, Wanfu Gao. Label correlations variation for robust multi-label feature selection [J]. Information Sciences, 2022, 609: 1075-1097. (中科院1区TOP期刊, 财大A类)

[4] Yonghao Li, Liang Hu, Wanfu Gao. Multi-label feature selection with high-sparse personalized and low-redundancy shared common features [J]. Information Processing & Management, 2024, 61(3): 103633. (中科院1区TOP期刊, 财大B类)

[5] Liang Hu, Yonghao Li, Wanfu Gao, Ping Zhang, Juncheng Hu. Multi-label feature selection with shared common mode [J]. Pattern Recognition, 2020, 104: 107344. (中科院1区TOP期刊, 财大A类)

[6] Yonghao Li, Juncheng Hu, Wanfu Gao. Robust multi-label feature selection with shared label enhancement [J]. Knowledge and Information Systems, 2022, 64(12): 3343-3372. (CCF-B类期刊)

[7] Wanfu Gao, Yonghao Li, Liang Hu. Multilabel Feature Selection with Constrained Latent Structure Shared Term [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(3): 1253-1262. (中科院1区TOP期刊, 财大A类)

[8] Liang Hu, Lingbo Gao, Yonghao Li, Ping Zhang, Wanfu Gao. Feature-specific mutual information variation for multi-label feature selection [J]. Information Sciences, 2022, 593: 449-471. (中科院1区TOP期刊, 财大A类)

[9] 李永豪, 胡亮, 高万夫. 基于稀疏系数矩阵重构的多标记特征选择 [J]. 计算机学报, 2022, 45(09): 1827-1841. (CCF-A类中文期刊，财大A类)

[10] 李永豪, 胡亮, 高万夫. 基于动态图拉普拉斯的多标记特征选择方法 [J]. 通信学报, 2020, 41(12): 47-59. (CCF-B类中文期刊)

更多文章见Google Scholar.

Academic Service

Reviewer for:

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
• AAAI Conference on Artificial Intelligence (AAAI)
• ACM International Conference on Multimedia (ACM MM)
• ACM Transactions on Knowledge Discovery from Data (TKDD)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Multimedia (TMM)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Cybernetics (TCYB)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA)
• IEEE Transactions on Fuzzy Systems (TFS)
• IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
• IEEE Transactions on Consumer Electronics (TCE)
• Pattern Recognition (PR)
• Information Processing & Management (IP&M)
• Knowledge-Based Systems (KBS)
• Expert Systems With Applications (ESWA)
• Fuzzy Sets and Systems (FSS)
• Applied Soft Computing (ASOC)
• Neurocomputing
• Information Sciences (INS)
• 自动化学报

Former Students (Graduate Destinations)

指导/协助指导：

• 刘亚辉（中国科学院自动化研究所）
• 吴佳蔓（中国人民大学）
• 何心怡（南京大学）
• 刘潞瀚（北京航空航天大学）
• 郑筱彤（大连理工大学）
• 宋朝阳（吉林大学）
• 庞宇竹（吉林大学）
• 王亚楠（吉林大学）