研究方向: 深度学习与数据挖掘、自动控制与工业自动化、动漫制作与仿真
招生信息: 年度招收全日制学术硕士与专业硕士(含计算机、电子信息、车辆工程)、非全日制硕士,涉及软件、机械、经管、工程等背景。
个人简介:
由北京大学获得计算机软件与应用理学学士学位、由北京航空航天大学控制科学与工程博士学位。目前为重庆大学专职教师、省部级专家人才。专注于数据挖掘、动漫制作、嵌入式系统研究与开发十余年。申请国家发明专利11项,其中7项获得授权(获批);发表学术论文五十余篇,其中被SCI、EI和ISTP三大检索机构检索四十余篇。
担任《INT J INF TECH DECIS》、《ARTIF INTELL》、《COMPUT MATH APPL》等顶级SCI期刊和国际会议IEEE International Conference on Data Mining (ICDM)的审稿专家,是国家审计署网络信息技术的外聘咨询专家。
主持、主研国家高技术研究发展计划(863计划)、总装备部装备预研基金(军)、国家自然科学基金、重庆市科技攻关计划、重庆市自然科学基金等项目三十余项。
先后师从张师超、吴信东、张成奇、韩亮、龚光红等教授,属于机器学习与智能仿真团队,近年来一直活跃在大数据与物联网研究与应用前沿。
研究基础:在大数据与人工智能关键技术方面已获得一定的研究和应用成果,在多届物联网远程监护技术大赛、全国挑战杯大赛、教授博士创业计划大赛中获得大奖。自主研发的针对远程监护的智能物联网协议(简称C-MAC)在通讯距离,组网规模、多级路由、智能化支持等指标上超过国外Zigbee协议。其产品先后入选2012年、2013年、2014年、2015年“物联网产业重点项目”计划,在“2012龙芯嵌入式产品发布会”上,香港卫视、江苏电视台、南京电视台等25家媒体进行了报道。
学术成果
论文
[1] Yunfei Yin*, Zheng Yuan, Xianjian Bao. Electronic medical records imputation by temporal Generative Adversarial Network, BioData Mining, vol. 17, no.1 , 2024. (SCI检索)
[2] 尹云飞*, 龙连杰, 黄发良*, 吴开贵. 广告点击率预估的逐层残差交互网络, 计算机学报, vol.47, 2024. (国内重要学术刊物)
[3] Yuxuan Wen (本科生), Yunfei Yin*, Hao Ran. FlipNet: an attention-enhanced hierarchical feature flip fusion network for lane detection, IEEE Transations on Intelligent Transportation Systems, vol. 25, 2024. (SCI检索)
[4] Yunfei Yin*, Zhiling Chen, Xianjian Bao. Bidirectional temporal-delay graph convolutional network for detecting fake news, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 133, 2024. (SCI检索)
[5] Yunfei Yin*, ND Ochieng, Jingqin Sun, Zhuowei Wang. PeNet : A feature excitation learning approach to advertisement click-through rate prediction, NEURAL NETWORKS, vol. 172, 2024. (SCI检索)
[6] Yunfei Yin, Li Jing, Faliang Huang*, Zhuowei Wang. MSA-GCN: Multiscale Adaptive Graph Convolution Network for gait emotion recognition, PATTERN RECOGNITION, vol. 147, 2024. (SCI检索)
[7] Zheng Zhang, Liang Wang, Songlin Liu, Yunfei Yin*. Intelligent fire location detection approach for extrawide immersed tunnels, EXPERT SYSTEMS WITH APPLICATIONS, vol. 239, 2024. (SCI检索)
[8] Yunfei Yin*, Jiameng Wang, Xianjian Bao. TIEN: Temporal interest-aware evolution model for "Next Item Recommendation", EXPERT SYSTEMS WITH APPLICATIONS, vol. 236, 2024. (SCI检索)
[9] Hao Ran, Yunfei Yin*, Faliang Huang*, Xianjian Bao. FLAMNet: A Flexible Line Anchor Mechanism Network for Lane Detection, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol.24, 2023. (SCI检索)
[10] Li Jing, Guangchao Yang, Yunfei Yin*. Pyr-HGCN: Pyramid Hybrid Graph Convolutional Network for Gait Emotion Recognition, 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 187-198, 2023. (CCF国际会议)
[11] Fucheng Wang, Yunfei Yin*, Faliang Huang*, Kaigui Wu. Please don't answer out of context: Personalized Dialogue Generation Fusing Persona and Context, International Joint Conference on Neural Networks (IJCNN), 2023. (CCF国际会议)
[12] Lianjie Long, Yunfei Yin*, Faliang Huang*. Hierarchical Attention Factorization Machine for CTR Prediction, 27th International Conference on Database Systems for Advanced Applications (DASFAA), DASFAA 2022. (CCF国际会议)
[13] Yunfei Yin, Caihao Huang, Jingqin Sun, Faliang Huang. Multi-head Self-attention Recommendation Model based on Feature Interaction Enhancement, IEEE International Conference on Communications 2022 (ICC), IEEE, 2022. (CCF国际会议)
[14] Lianjie Long, Yunfei Yin*, Faliang Huang*, Graph-aware Collaborative Filtering for Top-N Recommendation, The annual International Joint Conference on Neural Networks (IJCNN), IEEE, 2021. (CCF国际会议)
[15] Jingqin Sun, Yunfei Yin*, Faliang Huang*, Mingliang Zhou, Leong Hou U, Self-residual Embedding for Click-Through Rate Prediction, International Joint Conference on Web and Big Data (APWeb-WAIM 2021), 2021. (CCF 国际会议)
[16] Yunfei Yin*, Hui Cheng, Faliang Huang. ECG Pattern Discovery Algorithm Based on Local Repeatability, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),IEEE, 2020, pp. 1206-1209. (CCF国际会议)
[17] 尹云飞*,孙敬钦,黄发良,白翔宇(本科生). 基于认知度与兴趣度的好友推荐反馈算法. 模式识别与人工智能, 2021. (国内重要学术刊物).
[18] Yunfei Yin*, Congrui Zou, Jingqin Sun. Robot communication system based on OIO middleware, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2020, pp.1937-1942. (CCF国际会议)
[19] Yunfei Yin*, Chengen Zheng, Qiyu Peng. Similarity Calculation Algorithm for Intelligent Electronic Customer Service Problems, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, 2020, pp.844-851. (CCF国际会议)
[20] Yunfei Yin*, Xuesong Feng, Friend Recommendation Algorithm Based on Interest and Cognition Combined with Feedback Mechanism, The 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2019), Leicester, UK, pp. 1205-1230, 2019. (CCF国际会议)
[21] Yunfei Yin*, Hailong Yuan, Beilei Zhang, Dynamic Behavioral Assessment Model Based On Hebb Learning Rule, NEURAL COMPUTING & APPLICATIONS, vol. 28, no. s1, pp. S245-S257, 2017. (SCI检索)
[22] Yunfei Yin*, Xiaonan Wang, Haichao Guan, et al. Online Formation Flying Data Control Model, IEEE Aerospace and Electronic Systems, vol.29, no.6, pp.24-36, 2014. (SCI检索)
[23] Yunfei Yin*, Yafei Zeng, Haichao Guan. A Weighted Dynamic Information Systems Reduction Method, INTELLIGENT AUTOMATION AND SOFT COMPUTING, vol.20, no.1, pp.101-114, 2014. (SCI检索)
[24] Yunfei Yin*, Guanghong Gong, Liang Han. Theory and Techniques of Data Mining in CGF Behavior Modeling. Science China Information Sciences, 2011, 54(4) : 717 - 731. (Science in China, Series F, SCI检索)
[25] Yunfei Yin*, Guanghong Gong, Liang Han. A Framework for Interval-valued Information System, International Journal of Systems Science, 2012, 43(9) : 1603 - 1622. (SCI检索)
[26] Yunfei Yin*, Guanghong Gong, Liang Han. Experimental Study on Fighters Behaviors Mining, Expert Systems With Applications, 2011, 38(5) : 5737 – 5747. (SCI检索)
[27] Yunfei Yin*, Guanghong Gong, Liang Han. Two-aircraft Formation Flight Simulation System Based on Four-tiered Architecture. Computers and Mathematics with Applications, 2011, 61(8) : 2323 - 2329. (SCI检索)
[28] Yunfei Yin*, Guanghong Gong, Liang Han. Air-combat Behavior Data Mining Based on Truncation Method. Journal of Systems Engineering and Electronics 2010, 21(5) : 827 - 834. (SCI检索)
[29] Yunfei Yin*. A Proximate Dynamics Model for Data Mining. Expert Systems With Applications, 2009, 36(6) : 9819 - 9833. (SCI检索)
[30] Yunfei Yin*, Guanghong Gong, Liang Han. Control Approach to Rough Set Reduction. Computers and Mathematics with Applications, 2009, 57(1) : 117 - 126. (SCI检索)
[31] Yunfei Yin*. An Approach to Mining Bundled Commodities. Knowledge - Based Systems, 2008, 21(4) : 321 - 331. (SCI检索)
[32] Yunfei Yin*, Haichao Guan. Dynamic Software Testing and Evaluation With State Space Method, Journal Of Testing And Evaluation, vol.41, no.3, pp.403-408, 2013. (SCI检索)
专利
[1]尹云飞;一种面向“服务质量”的代码自动生成方法[P];授权时间:2011年;授权国别:中国;专利号:ZL 201010549764.8
[2]尹云飞;一种监护数据控制方法[P];授权时间:2013年;授权国别:中国;专利号:ZL 201110193392.4
[3]尹云飞;一种同步控制多架飞机的仿真方法[P](C-MAC行为模型相同的算法);授权时间:2013年;授权国别:中国;专利号:ZL 201010605586.6
[4]尹云飞,张蓓蕾;基于无线传感器的火车铁轨温度与压力检测方法[P];授权时间:2016;授权国别:中国;专利号:ZL 2014 1 0298267.3
[5]尹云飞,刘欢,曾亚飞;一种左右递归新词发现方法2016.11.30中国CN201611152464.X (专利)
[6]尹云飞,严宽,曾亚飞;基于用户数量调整系数的推荐方法2016.11.30中国CN201611152463.5 (专利)
[7]尹云飞,谭国登,董俊杰,罗兰,关海超;一种基于图像识别的餐厅无线刷卡系统2013.1.9中国CN201310007258.X (专利)
[8]尹云飞,关海超,王小刚,王晓楠,张蓓蕾,曾亚飞;一种用于美容消肿的冷敷面具系统2014.7.15中国CN201410336732.8 (专利)
项目
1.国家高技术研究发展计划(863计划)项目,2013AA013202,基于新型非易失性存储器的“统一内外存”系统结构及其关键技术,2013/01-2015/12
2.国家自然科学基金青年基金项目, 61402059,基于错误感知的闪存存储系统性能和寿命优化技术研究, 2015/01-2017/12
3.重庆市基础与前沿研究项目,cstc2015jcyjA40006,基于自主物联网协议C-MAC的智能监护技术研究,2016/08-2018/07
4.总装备部装备预研基金重点项目:“***********”(XXXXXXXXHKXX), 2012/01-2013/12
5.重庆市科技攻关计划项目, cstc2012ggC40005,基于非易失性存储器的“统一内外存”的新型系统结构与关键技术, 2013/01-2015/06
6.中冶赛迪集团软件开发项目, “基于B-S架构的过程控制中间件透明性研究与实际委托开发”, 2016/03-2016/06
7.恩硕利科技有限公司软件开发项目, “电磁波核磁共振仪系统v2.0”, 2016/11-2017/06
8.恩硕利科技有限公司软件开发项目,“基于人工智能的自动核磁共振仪软件系统”,2019/03-2019/06
9.重庆城市管理职业学院软件开发项目,“智能货柜管理系统”,2019/08-2019/09
10. 广西人机交互与智能决策重点实验室,“面向交通的环境感知与图像视频场景理解”,2023/03-2023/12
11.重庆海装风电销售有限公司,“基于IEC61400-12019版的风资源分析及风场安全性评估辅助工具开发”,2022/12-2024/12
12. 重庆市巨邦辰源生产力促进中心有限责任公司,“市场监管现代化与卫生服务系统”,2024/06-2026/12
其他
1. 江苏省“六大人才高峰”高层次人才选拔培养对象
1. 南京市科技进步三等奖,自主物联网通信协议(C-MAC)及应用套件(排名第5)
2. 中国轻工业联合会科技进步二等奖,面向家电、轻工机械等智能控制应用的高性能无线模块(排名6)
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