岳琴 - 2138CC太阳集团（大数据学院）

岳琴，博士。2025年毕业于2138CC太阳集团，获博士学位。研究兴趣主要包括机器学习与数据挖掘，重点围零样本学习等开放环境下的机器学习问题开展学术研究。目前已在人工智能与数据挖掘领域国际顶级学术期刊IEEE Transactions on Knowledge and Data Engineering、Pattern Recognition以及国际顶级学术会议International Conference on Machine Learning (ICML)、AAAI Conference on Artificial Intelligence (AAAI)、ACM Knowledge Discovery and Data Mining (KDD)等上发表论文多篇。

[1] Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai. Dual bidirectional graph convolutional networks for zero-shot node classification[C]. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022: 2408-2417. (CCF A类会议)

[2] Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai. Class semantic attribute perception guided zero-shot learning[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 22281-22289. (CCF A类会议)

[3] Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang. Unsupervised dimensionality reduction based on fusing multiple clustering results[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(3): 3211-3223. (SCI 1区, CCF A 类期刊)

[4] Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang. A zero-shot learning boosting framework via concept-constrained clustering[J]. Pattern Recognition, 2024, 145: 109937. (SCI 1区, CCF B类期刊)

[5] Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang. Human Cognition-Inspired Hierarchical Fuzzy Learning Machine[C]. International Conference on Machine Learning (ICML), 2025, Accepted. (CCF A 类会议)

[6] Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. A general representation learning framework with generalization performance guarantees[C]. International Conference on Machine Learning (ICML), 2023: 6522-6544. (CCF A 类会议)

[7] 岳琴, 魏巍, 冯凯, 崔军彪. 自适应稀疏表示引导的无监督降维[J]. 深圳大学学报 (理工版), 2020, 37(04): 425-432

[1] 科技创新2030-“新一代人工智能”重大项目. 认知计算基础理论与方法研究(No.2020AAA0106100), 2020.11-2024.10. 参与

[2] 国家自然科学基金面上项目, 知识引导的开放集学习方法研究(No.62376141), 2024.01-2027.12. 参与

[3] 国家自然科学基金面上项目. 自监督聚类基础理论与算法研究(No.62276159), 2023.01-2026.12. 参与