陈艳

学历：博士

学科：计算机科学与技术

研究领域或方向：人工智能、数据挖掘与知识发现、无监督学习、聚类分析

邮箱：chenyan01@tyut.edu.cn

职称：讲师

个人简介
主要课程
主要成果

1、学术经历
2024.08 - 今：太原理工大学讲师
2020.09 - 2024.06：四川大学计算机学院（软件学院）计算机科学与技术工学博士
2016.09 - 2019.07：山西大学计算机与信息技术学院计算机应用技术工学硕士
2012.09 - 2016.07：中北大学软件学院软件工程工学学士
2、个人简介
(1)近五年在人工智能、机器学习、信号处理等领域发表论文40余篇，其中包括：信息融合领域国际顶刊《Information Fusion》（SCI 一区 TOP，近五年平均 IF：17.9），多媒体国际顶会ACM MM（CCF-A），信号处理、物理交叉领域的旗舰期刊《Applied Acoustics》（谷歌学术他引 140余次）以及ICML、AAAI、《计算机研究与发展》、《Neurocomputing》、《Signal Processing》、IJCAI、ICASSP、DASFAA等国内外重要学术期刊与会议（CCF序列、SCI三区及以上）。（详见Google Scholar profile：https://scholar.google.com/citations?user=kFZG_mQAAAAJ）。
(2)担任TPAMI 、NeurIPS、ICML、ICLR、《计算机学报》等多个国内外学术期刊/会议审稿人，多次受邀参加国内外重要学术会议并做口头报告。
(3)近年来联合指导本科生以第一作者在ICML、AAAI、ACM MM、ECML-PKDD、《Signal Processing》、《Neurocomputing》、ICASSP、ICME、ICMR 等国内外顶级会议与权威期刊持续发表SCI二区以上、CCF-A/B等高质量论文十余篇，并多次获得全国大学生计算机类竞赛国家级奖项。
(4)主持国自然青年基金项目一项、省青年基金项目一项、教育部重点实验室项目一项及横向项目多项；参与国家级项目多项。
(5)出版《数据驱动的鲁棒误差建模—理论、方法与应用》专著一部；参编《深度学习技术基础与实践》本科专业教材三章。
目前长期面向计算机相关专业招募优秀本科生加入课题组，提供必备科研训练环境条件及指导等，助力开展高水平科研训练并发表高质量论文。
本科生专业必修课《人工智能》、本科生通识必修课《人工智能技术与应用》
1、部分项目
(1)面向可信聚类集成的谱域与熵域调控理论与方法，国家自然科学基金青年C类项目，主持
(2)平衡大规模多视图聚类方法研究，山西省基础研究计划，青年科学研究项目，主持
(3)融合图结构学习与公平性约束的多视图聚类方法，教育部重点实验室开放基金项目，主持
(4)企业横向技术合作项目，累计60余万元，主持
(5)国家自然科学基金面上等国家级项目多项，参与
(6)中央引导地方等其他企业横向技术合作项目多项，参与
2、论文成果
[1]Yan Chen, Bingbing Jiang, Peng Zhou, Lei Duan, Yuhua Qian, Liang Du. Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization[C]//ACM International Conference on Multimedia (ACM MM-2025). (CCF-A)
[2]Yan Chen, Liang Du, Peng Zhou, Lei Duan, Yuhua Qian. Multiple Kernel Clustering with Local Kernel Reconstruction and Global Heat Diffusion[J]. Information Fusion, 2024, 105, 102219. (SCI一区Top, IF=18.6)
[3]Yan Chen, Lei Wang, Liang Du, Lei Duan. A Trace Ratio Maximization Method for Parameter Free Multiple Kernel Clustering[C]//International Conference On Database Systems For Advanced Applications (DASFAA-2022). 2022: 681-688. (CCF-B)
[4]Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian. Environmental sound classification with dilated convolutions[J]. Applied Acoustics, 2019, 148: 123-132. (SCI二区, 他引130多次)
[5]Kerui Cheng(Undergraduate Student), Yan Chen*, Liang Du. Beta Wavelet Induced Multi-scale Kernel Clustering: A Frequency-aware Framework for Complex Data Analysis[C]//IEEE International Conference on Image Processing (ICIP-2025). 2025. (CCF-C)
[6]Yan Chen. An adjustable multigranulation fuzzy rough set[J]. International Journal of Machine Learning and Cybernetics, 2016, 7: 267-274. (SCI三区)
[7]Liang Du, Yukai Shi, Yan Chen, Feijiang Li, Peng Zhou, Lei Duan, Yuhua Qian. A Dual Mixture-of-Experts Framework for Multi-View K-Means Clustering with View Balance and Regional Sparsity[J]. Information Fusion, 2026. (SCI一区Top, IF=15.5)
[8]Jiale Zou(Undergraduate Student), Yan Chen, Bingbing Jiang, Peng Zhou, Liang Du, Lei Duan, Yuhua Qian. Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering[C]//ACM International Conference on Multimedia (ACM MM-2025). (CCF-A)
[9]Liang Du, Henghui Jiang(Undergraduate Student), Xiaodong Li, Yiqing Guo(Undergraduate Student), Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian. Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization[C]//AAAI Conference on Artificial Intelligence (AAAI-2025). 2025, 39 (15): 16381-16388. (CCF-A)
[10]Jiale Zou(Undergraduate Student), Yan Chen, Peng Zhou, Chao Wen, Liang Du, Yuhua Qian. Consensus Graph Filter Learning for Multiple Graph Clustering[C]//IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2025). 2025. (CCF-B)
[11]Lizhu Wu(Undergraduate Student), Yan Chen, Peng Zhou, Liang Du. Scalable Multi-Kernel Clustering with Dynamic Procrustes[C]//IEEE International Conference on Multimedia & Expo (ICME-2025). 2025. (CCF-B)
[12]Henghui Jiang(Undergraduate Student), Yiqing Guo(Undergraduate Student), Yan Chen, Liang Du. Late Fusion Multiple Kernel Clustering Refined via Optimal Linear Graph Filtering[C]//European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2025). 2025. (CCF-B)
[13]Henghui Jiang(Undergraduate Student), Yiqing Guo(Undergraduate Student), Yan Chen, Liang Du. Scalable Multi-view Clustering via Bipartite Graph Consensus Filtering[C]//IEEE International Conference on Image Processing (ICIP-2025). 2025. (CCF-C)
[14]Yiqing Guo(Undergraduate Student), Henghui Jiang(Undergraduate Student), Yan Chen, Liang Du. A scalable Consensus Fast Graph Filtering Approach for Late Fusion Multi-view Clustering[J]. Signal Processing, 2025, 110074. (CCF-C, SCI二区)
[15]Liang Du, Yukai Shi, Yan Chen, Peng Zhou, Yuhua Qian. Fast and Scalable Incomplete Multi-view Clustering with Duality Optimal Graph Filtering[C]//ACM International Conference on Multimedia (ACM MM-2024). 2024: 8893-8902. (CCF-A)
[16]Liang Du, Xiaodong Li, Yan Chen, Peng Zhou, Yuhua Qian. Double-Ended Joint Learning for Multi-View Clustering[J]. Journal of Computer Research and Development, 2024. (in Chinese, CCF-A)
[17]Liang Du, Xiaodong Li, Yan Chen, Gui Yang, Mian Ilyas Ahmad, Peng Zhou. Higher Order Multiple Graph Filtering for Structured Graph Learning[C]//IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2024). 2024: 7095-7099. (CCF-B)
[18]Gui Yang, Jiale Zou(Undergraduate Student), Yan Chen, Liang Du, Peng Zhou. Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering[J]. IEEE Signal Processing Letters, 2024, 31, 2310-2314. (CCF-C, SCI二区)
[19]Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du. Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation [J].Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban), 2024, 62(3). (in Chinese)
[20]Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du. Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking. Computer Science, 50(7):72-81, 2023. (in Chinese, CCF-B)
[21]Jianwen Gan, Yan Chen, Peng Zhou, Liang Du. Clustering Ensemble Algorithm with High-Order Consistency Learning [J]. Journal of Computer Applications, 2023, 43(9), 2665-2672. (in Chinese, CCF-B)
[22]Liang Du, Xiaolin Lv, Chaohong Ren, Yan Chen. A Filter-based Unsupervised Feature Selection Method via Improved Local Structure Preserving[C]//2019 5th International Conference on Big Data and Information Analytics (BigDIA-2019). 2019: 162-169.