教育背景

2012.09 – 2017.7     中国科学院自动化研究所    模式识别与智能系统              博士学位

2008.09 – 2012.7      哈尔滨工程大学                自动化                                   学士学位

工作经历

2020.01 – 现在   中国科学院自动化研究所 智能系统与工程研究中心 副研究员

2018.04 – 2020.01   中国科学院自动化研究所 智能系统与工程研究中心 助理研究员

2017.07 – 2018.04   中国科学院自动化研究所 模式识别国家重点实验室 助理研究员

专利与奖励

专利

[1] 人机对抗分布式训练系统和方法, 发明, 2021, 第 1 作者, 专利号: CN112990460B

[2] 人机对抗智能体策略制定方法, 发明, 2021, 第 1 作者, 专利号: CN112926729B

奖励

[1] 2018年AIIDE星际争霸AI比赛国际第三名

[2] 2017年AIIDE星际争霸AI比赛国际第四名

出版信息

部分期刊论文

[1]  尹奇跃, 赵美静, 倪晚成, 张俊格, 黄凯奇. 兵棋推演的智能决策技术与挑战. 自动化学报, 已录用.

[2]  尹奇跃, 黄岩, 张俊格, 吴书, 王亮. 基于深度学习的跨模态检索综述. 中国图象图形学报, 2021, 26(6): 1368-1388.

[3]  Xiaomeng Si, Qiyue Yin, Xiaojie Zhao, Li Yao, Consistent and diverse multi-view subspace clustering with structure constraint. Pattern Recognition (PR), 2022 (121): 108196.

[4]  Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang, Deep self-supervised representation learning for free-hand sketch. IEEE Trans. Circuits Syst. Video Technol. (IEEE TCSVT), 2021, 31(4): 1503-1513.

[5]  Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li, Multi-view clustering via joint feature selection and partially constrained cluster label learning. Pattern Recognition (PR), 2019 (93): 380-391.

[6]  Qiyue Yin, Shu Wu, Liang Wang, Multiview clustering via unified and view-specific embeddings learning. IEEE Trans. Neural Netw. Learning Syst. (IEEE TNNLS), 2018, 29(11): 5541-5553.

[7]  Peng Xu, Qiyue Yin, et al., Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing, 2018 (278): 75-86.

[8]  Qiyue Yin, Shu Wu, Liang Wang, Unified subspace learning for incomplete and unlabeled multi-view data. Pattern Recognition (PR), 2017 (67): 313-327.

[9]  Qiyue Yin, Shu Wu, Ran He, Liang Wang, Multi-view clustering via pairwise sparse subspace representation. Neurocomputing, 2015 (156): 12-21.

[10]  Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin, Robust subspace clustering with complex noise. IEEE Trans. Image Processing, (TIP) 2015, 24(11): 4001-4013.

[11]  Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin, Cross-modal subspace learning via pairwise constraints. IEEE Trans. Image Processing (TIP), 2015, 24(12): 5543-5556.

部分会议论文

[1]  Wei Cheng, Ziyan Luo, Qiyue Yin, Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. AAI Conference on Artificial Intelligence (AAAI, Corresponding author), 2021.

[2]  Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang, Learning to reweight imaginary transitions for model-based reinforcement learning. AAAI Conference on Artificial Intelligence (AAAI), 2021.

[3]  Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang. Counter-Contrastive Learning for Language GANs, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

[4]  Wei Cheng, Qiyue Yin, Junge Zhang, Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network, International Conference on Computer and Communication Systems (ICCCS), 2020.

[5]  Qiyue Yin, Shu Wu, Liang Wang, Learning Shared and Specific Factors for Multi-modal Data, Computer Vision - Second CCF Chinese Conference (CCCV), 2017.

[6]  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 Workshop, 2016.

[7]  Qiyue Yin, Shu Wu, Liang Wang, Incomplete multi-view clustering via subspace learning, ACM International Conference on Information and Knowledge Management (CIKM Long), 2015.

[8]  Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Multi-view clustering via structured low-rank representation, ACM International Conference on Information and Knowledge Management (CIKM Short), 2015.

[9]  Qiyue Yin, Shu Wu, Liang Wang, Partially tagged image clustering. International Conference on Image Processing (ICIP Oral), 2015.

[10]  Qiyue Yin, Shu Wu, Liang Wang. Learning to hash for recommendation with tensor data. Asia Pacific Web Conference (APWeb, Oral, Student Travel Award), 2015.

科研项目 

[1]  2035人机对抗，子任务负责人，2019.10-2021.12

[2]  不完全信息下多智能体高效探索与协作算法及验证系统开发，主持，2021.3-2021.12.

[3]  c*智能博弈决策AI训练学习及推理平台，主持，2020.11-2022.6.

[4]  小样本学习与可解释性建模(中科院战略性先导科技专项A)，参与，2020.11-2024.11.

指导学生

黄文振     博士研究生

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

郭州蕊      硕士研究生