基本信息

姚振杰  男    中国科学院微电子研究所
电子邮件: yaozhenjie@ime.ac.cn
通信地址: 北京市朝阳区北土城西路3号
邮政编码:100029

研究兴趣

人工智能及其在EDA,网络与集群调度,医疗数据分析中的应用

招生信息

   
招生专业
081203-计算机应用技术
080902-电路与系统
081002-信号与信息处理
招生方向
人工智能及其应用
智能化EDA
智能化调度

教育背景

2007-07--2012-07   中国科学院研究生院   工学博士
2003-09--2007-07   浙江大学   工学学士

工作经历

   
工作简历
2020-06~现在, 中国科学院微电子研究所, 副研究员
2019-01~2021-06,南京未来网络产业创新有限公司, 数据科学家
2016-08~2018-12,北京未来网络高精尖创新中心, 数据科学家
2012-07~2016-07,中国移动通信有限公司研究院, 智能计算研究员

出版信息

   
发表论文
[1] 姚振杰. Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. 2021 IEEE International Conference on Big Data (Big Data)null. 2021, [2] 姚振杰. Deep Reinforcement Learning for Job Scheduling on Cluster. International Conference on Artificial Neural Networksnull. 2021, [3] 杨照军, 陈岚, 张贺, 姚振杰. Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction. 2021 IEEE International Conference on Big Data (Big Data)null. 2021, [4] 姚振杰, Qian Xu, 陈永锐. Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. International Joint Conference on Neural Networks (IJCNN)null. 2021, [5] Li, Nan, Yao, Zhenjie, Tu, Yanhui, Chen, Yixin. Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. IEEE ACCESS[J]. 2020, 8: 164035-164044, https://doaj.org/article/31326b374dad4d0e9dc72cfb1b0ce4ec.
[6] 徐倩, 姚振杰. Attention-Based Multi-component LSTM for Internet Traffic Prediction. International Conference on Neural Information Processing (ICONIP)[J]. 2020, [7] Yao, Zhenjie, Li, Jiangong, Guan, Zhaoyu, Ye, Yancheng, Chen, Yixin. Liver disease screening based on densely connected deep neural networks. NEURAL NETWORKS[J]. 2020, 123: 299-304, http://dx.doi.org/10.1016/j.neunet.2019.11.005.
[8] Yao, Zhenjie, Yi, Weidong. Bionic vision system and its application in license plate recognition. NATURAL COMPUTING[J]. 2020, 19(1): 199-209, https://www.webofscience.com/wos/woscc/full-record/WOS:000517129300012.
[9] Wang, Binhua, Bai, Yongyi, Yao, Zhenjie, Li, Jiangong, Dong, Wei, Tu, Yanhui, Xue, Wanguo, Tian, Yaping, Wang, Yifei, He, Kunlun. A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. IEEE ACCESS[J]. 2019, 7: 178392-178400, https://doaj.org/article/55724a634d264b55bc0859b23497526c.
[10] Xu Ke, Guo Shunan, Cao Nan, Gotz David, Xu Aiwen, Qu Huamin, Yao Zhenjie, Chen Yixin, ACM. ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection. PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018)null. 2018, http://dx.doi.org/10.1145/3173574.3174237.
[11] Yao, ZhenJie, Bi, Jie, Chen, YiXin. Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTINGnull. 2018, 15(6): 643-655, http://lib.cqvip.com/Qikan/Article/Detail?id=676825105.
[12] 姚振杰. Atrial fibrillation detection by multi-scale convolutional neural networks. 2017 20th International Conference on Information Fusion (Fusion)null. 2017, [13] Yao Zhenjie, Zhang Zhipeng, Xu LiQun, IEEE. Convolutional Neural Network for Retinal Blood Vessel Segmentation. PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1null. 2016, 406-409, [14] Yao, Zhenjie, Yi, Weidong. Curvature aided Hough transform for circle detection. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2016, 51: 26-33, http://dx.doi.org/10.1016/j.eswa.2015.12.019.
[15] Yao Zhenjie, Zhang Zhipeng, Xu LiQun, Fan Qingxia, Xu Ling, IEEE. Generic Features for Fundus Image Quality Evaluation. 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM)null. 2016, 584-589, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000391459700105.
[16] Yao, Zhenjie, Yi, Weidong. License plate detection based on multistage information fusion. INFORMATION FUSION[J]. 2014, 18: 78-85, http://dx.doi.org/10.1016/j.inffus.2013.05.008.
[17] Li, Shidong, Yao, Zhenjie, Yi, Weidong. Frame Fundamental High-Resolution Image Fusion from Inhomogeneous Measurements. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 21(9): 4002-4015, 

科研活动

   
科研项目
( 1 ) 基于高性能计算的集成电路电子设计自动化(EDA)平台, 参与, 国家级, 2017-07--2021-06