2023.09-2026.07 中国科学院大学 工学博士
2020.09-2023.07 武汉理工大学 工学硕士
2016.09-2020.07 西安邮电大学 理学学士

2026.07-至今 西安建筑科技大学 计算机与信息工程学院

（1）中华人民共和国科学技术部，国家重点研发计划课题，2024YFF0908204，典型场景下企业知识产权安全与合规风险智能化评估技术研究，2025-04至2028-03，在研，项目骨干；
（2）新疆维吾尔自治区科学技术厅，新疆领军人才引进计划科技领域重点创新平台（基地）引才项目，面向癌症分类的肿瘤内高特异性菌群鉴定方法研究，2026-01至2028-12，在研，副组长；
（3）新疆维吾尔自治区科学技术厅，自然科学基金面上项目，2025D01A136，微生物组数据驱动的抗菌肽挖掘算法研究，2025-09至2028-09，在研，主要参与；
（4）新疆维吾尔自治区科学技术厅，自然科学基金重点项目，2021D01D05，大规模复杂网络的可解释性社区发现方法研究，2021-08至2025-07，已结题，主要参与。

论文：
[1] Yue Yang, X. Su, B. Zhao, G. Li, P. Hu, J. Zhang, and L. Hu, “Fuzzy-based Deep Attributed Graph Clustering,” IEEE Transactions on Fuzzy Systems, 2024, 32(4): 1951-1964.【中科院一区Top，影响因子：11.9，ESI高被引论文，2027 IEEE TFS Outstanding Paper Award】
[2] Yue Yang, G. Li, D. Li, P. Hu, X. Luo, and L. Hu, “Link-based Attributed Graph Clustering via Approximate Generative Bayesian Learning,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(8): 5730-5743.【中科院一区Top，影响因子：8.7，ESI热点论文、ESI高被引论文】
[3] Yue Yang, L. Hu, G. Li, D. Li, P. Hu, and X. Luo, “FMvPCI: a multi-view fusion neural network for identifying protein complex via fuzzy clustering,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(9): 6189-6202.【中科院一区Top，影响因子：8.7】
[4] Yue Yang, G. Li, D. Li, J. Zhang, P. Hu, and L. Hu, “Integrating fuzzy clustering and graph convolution network to accurately identify clusters from attributed graph,” IEEE Transactions on Network Science and Engineering, 2024, 12(2): 1112-1125.【中科院一区，影响因子：7.9，ESI热点论文、ESI高被引论文】
[5] Yue Yang, D. Li, Z. Cui, H. Yin, P. Hu, and L. Hu, “Neighborhood Consensus-guided Reinforcement Learning for Scalable Deep Graph Clustering,” IEEE Transactions on Multimedia, 2026.【CCF A类期刊，中科院一区Top，影响因子：9.7】
[6] Yue Yang, D. Li, Z. Cui, P. Hu, and L. Hu, “Reinforced Structural Reasoning for Receptive Field Optimization in GNN toward Interpretable Graph Clustering,” In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, 2026, pp. 6068-6079. 【CCF A类会议，数据挖掘领域顶会】
[7] Lun Hu, Yue Yang, Z. Tang, Y. He, and X. Luo, “FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks with Multiobjective Particle Swarm Optimization,” IEEE Transactions on Fuzzy Systems, 2023, 31(10): 3470-3484.【中科院一区Top，影响因子：11.9，ESI热点论文、ESI高被引论文】
[8] Yue Yang, G. Li, D. Li, P. Hu, and L. Hu, “Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning,” Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024: 134-139.【CCF B类会议】
[9] Yue Yang, X. Su, B. Zhao, Y. He, and L. Hu, “A novel fuzzy-based MOPSO algorithm for identifying clusters from complex networks,” Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2022: 1126-1131.【CCF C类会议】
[10] Yue Yang, D. Li, Z. Cui, H. Yin, Q. Sun, M. Zhang, Y. Chang, and L. Hu, “Graph Representation Learning in Complex Networks: Recent Advances and Open Challenges,” Journal of Artificial Intelligence for Automation, 2026, 1(1): 4.【人工智能与自动化领域国际期刊】
专利：
[1]胡伦，杨月，赵博伟，周喜，马玉鹏。一种属性图聚类方法及系统，发明专利，ZL 202310441397.7。
[2]胡伦，杨月，胡鹏伟，张俊，尹衡闯。一种任务驱动的智能体动态决策优化方法及系统，发明专利，202610143487.1。

担任2026 IEEE International Conference on Bioinformatics and Biomedicine程序委员会委员；担任 IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Computational Biology and Bioinformatics、Information Fusion、Expert Systems with Applications、PLOS Computational Biology、BMC Medical Informatics and Decision Making 等国际期刊审稿人。