博弈决策、大语言模型智能体、机器学习、数据挖掘

少量硕士名额；少量优秀在职硕士名额；长期招聘实习生；从事大语言模型智能体、多智能体强化学习、自然语言嵌入的强化学习、多模态学习等研究。

081104-模式识别与智能系统

人工智能理论与方法

2012-09--2017-07   中国科学院自动化研究所   博士学位
2008-09--2012-07   哈尔滨工程大学   学士学位

2020-01~现在, 中国科学院自动化研究所, 副研究员
2017-07~2019-12,中国科学院自动化研究所, 助理研究员

   

[1] 尹奇跃, 于彤彤, 李晶华, 黄凯奇. 多智能体博弈种群策略多样性提升方法及装置. CN202411052957.0, 2024-08-02

[2] 尹奇跃, 黄凯奇, 赵美静. 人机对抗分布式训练系统和方法. CN202110489058.7, 2021-05-06.

[3] 尹奇跃, 黄凯奇, 赵美静. 人机对抗智能体策略制定方法. CN: CN112926729A, 2021-06-08.

[4] 黄凯奇, 尹奇跃, 张俊格, 徐沛. 基于深度强化学习网络构建对区域敏感的模型的方法. CN: CN114004370A, 2022-02-01.

[5] 黄凯奇, 赵美静, 尹奇跃. 一种人机对抗能力评估评测方法和系统. CN: CN113902355A, 2022-01-07.

（1）ICCCS青年科学家奖，2025

（2）中国科学院重点部署青年人才，2024

（3）河南省水利科技创新成果基础与应用研究一等奖，2024

（4）中国指挥与控制学会科学技术进步一等奖，2023

（5）MIR下载量Top10好文，2023

（6）中国图象图形学报高关注度领域综述，2023

（7）IJCAI-Neural MMO挑战赛银奖，2022

（8）AIIDE星际争霸AI全球挑战赛第三名, 2018

（9）CCF-滴滴盖亚青年学者科研基金, 2018

（10）AIIDE星际争霸AI全球挑战赛第四名, 2017

部分期刊论文：

• Juexxi Liu, Qiyue Yin, Kaiqi Huang, et al.. The impact of rational and experiential thinking styles on resource allocation in human - Computer fighting games. Comput. Hum. Behav. 2025, 165: 108553.
• Qiyue Yin, Tongtong Yu, Shengqi Shen et al.. Distributed deep reinforcement learning: A survey and a multi-player multi-agent learning toolbox. MIR, 2024, 21(3): 411-430.
• Qiyue Yin, Jun Yang, Kaiqi Huang, et al.. AI in human-computer gaming: Techniques, challenges and opportunities. MIR, 2023, 20(3): 299-317.
• Yuxiang Mai, Yifan Zang, Qiyue Yin, Wancheng Ni, Kaiqi Huang. Deep multitask multiagent reinforcement learning with knowledge transfer. IEEE ToG, 2023.
• Xiaojie Zhou, Xueou Feng, Qingming Li, Qiyue Yin, Jun Yang, Guoxia Yu, Qing Shi. Position weighted convolutional neural network for unbalanced children caries diagnosis. IEEE Access, 2023, 11: 77034-77044.

• Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang. Deep Learning for Free-Hand Sketch: A Survey and A Toolbox. IEEE TPAMI, 2023, 35(1): 285-312.

• Pei Xu, Qiyue Yin, Junge Zhang, Kaiqi Huang. Deep reinforcement learning with part-aware exploration bonus in video games. IEEE ToG, 2022, 14(4): 644-653.

• Xiaomeng Si, Qiyue Yin, Xiaojie Zhao, Li Yao. Consistent and diverse multi-View subspace clustering with structure constraint. PR, 2022, 121: 108196.

• Xiaomeng Si, Qiyue Yin, Xiaojie Zhao, Li Yao. Robust deep multi-view subspace clustering networks with a correntropy-induced metric. Applied Intelligence, 2022, 52(13): 14871-14877.

• Xingzhou Lou, Qiyue Yin, Junge Zhang, et al.. Offline reinforcement learning with representations for actions. Information Sciences, 2022, 610: 746-758.

• Peng Xu, Zeyu Song, Qiyue Yin, Yizhe Song, Liang Wang, Deep self-supervised representation learning for free-hand sketch. IEEE TCSVT, 2021, 31(4): 1503-1513.

• Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang. Learning macromanagement in starcraft by deep reinforcement learning. Sensors, 2021, 21(10): 3332.

• 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.

• Qiyue Yin, Shu Wu, Liang Wang, Multiview clustering via unified and view-specific embeddings learning. IEEE TNNLS, 2018, 29(11): 5541-5553.

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

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

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

• Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin, Robust subspace clustering with complex noise. IEEE TIP, 2015, 24(11): 4001-4013.

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

• 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, 2023, 49(5): 913-928.

• 黄文振, 尹奇跃, 张俊格, 黄凯奇. 基于模型的强化学习中可学习的样本加权机制. 软件学报, 2023, 34(06): 2765-2775.

• 周雷, 尹奇跃, 黄凯奇. 人机对抗中的博弈学习方法, 计算机学报, 2022, 45(9): 1859-1876.

• 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.

部分会议论文：

• Yuxaing Mai, Qiyue Yin, Wancheng Ni et al. Constructive conflict-driven multi-agent reinforcement learning for strategic diversity. IJCAI, 2025.
• Tongtong Yu, Chenghua He, Qiyue Yin. M2RL: A Multi-player multi-agent reinforcement learning framework for complex games. IJCAI, 2024.
• Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang. ADMN: Agent-driven modular network for dynamic parameter sharing in cooperative multi-agent reinforcement learning. IJCAI, 2024.
• Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang. Prioritized tasks mining for multi-task cooperative multi-agent reinforcement learning. AAMAS, 2023.

• Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong, Kaiqi Huang. Subspace-aware exploration for sparse-reward multi-agent tasks. AAAI, 2023.

• Yang Yu, Qiyue Yin, Junge Zhang, Kaiqi Huang. Underexplored subspace mining for sparse-reward cooperative multi-agent reinforcement learning. IJCNN, 2023.

• Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang. Layer-wisely supervised learning for one-shot neural architecture search. IJCNN, 2022.

• Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang, Learning to reweight imaginary transitions for model-­based reinforcement learning. AAAI, 2021.

• Wei Cheng, Ziyan Luo, Qiyue Yin, Adaptive prior‐dependent correction enhanced reinforcement learning for natural language generation. AAAI, 2021.
  

• 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.

• Qiyue Yin, Shu Wu, Liang Wang, Incomplete multi-view clustering via subspace learning, ACM CIKM, pp. 383-392, 2015.

• Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Multi-view clustering via structured low-rank representation, ACM CIKM, pp. 1911-1914, 2015.

• Qiyue Yin, Shu Wu, Liang Wang, Learning to Hash for Recommendation with Tensor Data, APWeb, pp. 292-303, 2015.

• Qiyue Yin, Shu Wu, Liang Wang, Partially tagged image clustering, ICIP, pp. 4012-4016, 2015.

• 大模型关键技术，主持，中国科学院重点部署青年人才项目，2024.9-2026.9

• 新疆生产建设兵团项目实施，主持，境内委托项目，2023.9-2026.12

• 面向无人机集群对抗的多智能体自主学习研究，主持，企业委托，2024.1-2025.11

• 策略自BY系统与提升算法研究，主持，企业委托，2024.3-2024.12.

• ​训练异构资源调度软件框架设计，主持，企业委托，2022.10-2024.12

• 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，企业委托，2021.3-2021.12.

• c*智能博弈决策AI训练学习及推理平台，参与，国家任务，2020.11-2022.6.

• **算法包子课题，主持，国家重点研发计划，2019.7-2022.7.

• 2035人机对抗, 子课题负责人, 研究所任务, 2019-10--2021-12.

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

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

   

郭洲蕊，硕士研究生

陈咨列，硕士研究生

李庆明，硕士研究生

贺成华，硕士研究生

桂杨海，硕士研究生

武浩然，硕士研究生

邱诗羽，博士研究生

麦宇翔，博士研究生

徐沛，博士研究生

于杨，博士研究生 

黄文振，博士研究生 

程维，硕士研究生 

陈皓，硕士研究生