
尹奇跃 男 中国科学院自动化研究所
电子邮件: qyyin@nlpr.ia.ac.cn
通信地址: 中国科学院自动化研究所智能化大厦406
邮政编码: 100190
研究领域
博弈决策、机器学习、数据挖掘
招生信息
招生专业
招生方向
教育背景
工作经历
2017-07~2019-12,中国科学院自动化研究所, 助理研究员
专利与奖励
奖励信息
专利成果
出版信息
部分期刊论文:
[1] Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li, Multi-view clustering via joint feature selection and partially constrained cluster label learning. PR, 2019 (93): 380-391.
[2] Qiyue Yin, Shu Wu, Liang Wang, Multiview clustering via unified and view-specific embeddings learning. TNNLS, 2018, 29(11): 5541-5553.
[3] Peng Xu, Qiyue Yin, et al., Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing, 2018 (278): 75-86.
[4] Qiyue Yin, Shu Wu, Liang Wang, Unified subspace learning for incomplete and unlabeled multi-view data. PR, 2017 (67): 313-327.
[5] Qiyue Yin, Shu Wu, Ran He, Liang Wang, Multi-view clustering via pairwise sparse subspace representation. Neurocomputing, 2015 (156): 12-21.
[6] Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin, Robust subspace clustering with complex noise. TIP, 2015, 24(11): 4001-4013.
[7] Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin, Cross-modal subspace learning via pairwise constraints. TIP, 2015, 24(12): 5543-5556.
部分会议论文:
[1] Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo, Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops, pp. 19-34, 2016.
[2] Qiyue Yin, Shu Wu, Liang Wang, Incomplete multi-view clustering via subspace learning, ACM CIKM, pp. 383-392, 2015.
[3] Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Multi-view clustering via structured low-rank representation, ACM CIKM, pp. 1911-1914, 2015.
[4] Qiyue Yin, Shu Wu, Liang Wang, Learning to Hash for Recommendation with Tensor Data, APWeb, pp. 292-303, 2015.
[5] Qiyue Yin, Shu Wu, Liang Wang, Partially tagged image clustering, ICIP, pp. 4012-4016, 2015.
[6] Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Semi-supervised subspace segmentation. ICIP, 2854-2858, 2014.
[7] Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu, Discriminative Representative Selection via Structure Sparsity, ICPR, 1401-1406, 2014.
科研项目
(1) 2035人机对抗, 参与, 市地级, 2019-10--2021-12.
(2)基于强化学习的决策演示系统,主持,企业委托,2019-3--2020-12.
合作情况
清华大学,多智能体自适应协同与通信对抗系统研发
华为,自动化学习算子设计与加速算法研究
指导学生
协助指导
徐沛,博士研究生
于杨,博士研究生
程维,硕士研究生
陈皓,硕士研究生