陈艳 (博士，讲师)

研究领域：人工智能、机器学习、多视图聚类

电子邮箱：chenyan01@tyut.edu.cn

个人简介

　　2024年毕业于四川大学，主要从事人工智能、机器学习、多视图聚类、音频信号处理等研究。在《Information Fusion》（IF=18.6），ACM MM，AAAI，《计算机研究与发展》，IEEE SPL，ICASSP，DASFAA，IJMLC，《Applied Acoustics》(他引130多次)等国内外重要学术期刊与会议发表论文20多篇（详见Google Scholar profile：https://scholar.google.com/citations?user=kFZG_mQAAAAJ）。近年来指导本科生以第一作者发表SCI、CCF论文多篇，并多次获全国大学生计算机类竞赛奖项。参与国家级项目多项；主持及参与横向项目多项；参与撰写大学本科计算机类专业核心课程教材一本《深度学习技术基础与实践》（第3、6、7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。

教育教学

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》

学术成果

[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余次)

[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] 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)

[7] 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)

[8] 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)

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

[15] 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)

[16] 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)

[17] 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)

[18] 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)

[19] 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)

[20] 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)

[21] 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.