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
人工智能及其应用
智能化EDA
深度学习及其在医疗健康中的应用
招生信息
招生专业
140100-集成电路科学与工程
080903-微电子学与固体电子学
080903-微电子学与固体电子学
招生方向
智能化EDA
智能信息处理与传输
智能信息处理与传输
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
2003-09--2007-07 浙江大学 工学学士
学历
博士研究生
学位
博士
工作经历
2020-06~现在, 中国科学院微电子研究所, 副研究员
2019-01~2020-06,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
2019-01~2020-06,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] 彭胡烊, 常笑涵, 姚振杰, 史东林, 陈永锐. A deep learning framework for ECG denoising and classification. Biomedical Signal Processing and Control[J]. 2024, 第 3 作者94: https://www.sciencedirect.com/science/article/pii/S1746809424004993?dgcid=coauthor.
[2] 姚振杰, Yixin Chen, Jinwei Wang, Junjuan Li, Shuohua Chen, wu shouling, Yanhui Tu, Minghui Zhao, Luxia Zhang. An Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis. ACM Transactions on Computing for Healthcare[J]. 2024, 第 1 作者5(2):
[3] Tianshuai Qi, Peng Xu, Jingwei Xu, Song Sun, Juan Wei, Guangyu Sun, Zhao Liu, Qingchen Cao, Jiangliu Shi, 姚振杰. Test pattern generation by conditional generative model labeled by image parameters. SPIE Advanced Lithography + Patterning, 2024. 2024, 第 10 作者
[4] 蒋中杰, 李志强, 姚振杰. Multi-Objective Optimization in 3D Floorplanning. ELECTRONICS[J]. 2024, 第 3 作者 通讯作者 13(9):
[5] Qiao, Qihang, Chen, Lan, Cai, Hong, Zhang, He, Yao, Zhenjie. An online workflow scheduling algorithm considering license limitation in heterogeneous environment. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2023, 第 5 作者 通讯作者 35(2):
[6] Chang Liu, Zhenjie Yao, Pengfei Liu, Yanhui Tu, Hu Chen, Haibo Cheng, Lixin Xie, Kun Xiao. Early prediction of MODS interventions in the intensive care unit using machine learning. JOURNAL OF BIG DATA[J]. 2023, 第 2 作者10(1): 1-18, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158675/.
[7] Wu, Bo, Fang, Chao, Yao, Zhenjie, Tu, Yanhui, Chen, Yixin. Decompose Auto-Transformer Time Series Anomaly Detection for Network Management. ELECTRONICS[J]. 2023, 第 3 作者12(2): http://dx.doi.org/10.3390/electronics12020354.
[8] Bo Wu, 姚振杰. A Dilated Transformer Network for Time Series Anomaly Detection. 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI). 2022, 第 2 作者https://ieeexplore.ieee.org/document/10098005.
[9] 姚振杰. Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. 2021 IEEE International Conference on Big Data (Big Data). 2021, 第 1 作者
[10] 姚振杰. Deep Reinforcement Learning for Job Scheduling on Cluster. International Conference on Artificial Neural Networks. 2021, 第 1 作者
[11] 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). 2021, 第 4 作者 通讯作者
[12] 姚振杰, Qian Xu, 陈永锐. Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. International Joint Conference on Neural Networks (IJCNN). 2021, 第 1 作者
[13] Li, Nan, Yao, Zhenjie, Tu, Yanhui, Chen, Yixin. Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. IEEE ACCESS[J]. 2020, 第 2 作者8: 164035-164044, https://doaj.org/article/31326b374dad4d0e9dc72cfb1b0ce4ec.
[14] 徐倩, 姚振杰. Attention-Based Multi-component LSTM for Internet Traffic Prediction. International Conference on Neural Information Processing (ICONIP)[J]. 2020, 第 2 作者
[15] Yao, Zhenjie, Li, Jiangong, Guan, Zhaoyu, Ye, Yancheng, Chen, Yixin. Liver disease screening based on densely connected deep neural networks. NEURAL NETWORKS[J]. 2020, 第 1 作者123: 299-304, http://dx.doi.org/10.1016/j.neunet.2019.11.005.
[16] Yao, Zhenjie, Yi, Weidong. Bionic vision system and its application in license plate recognition. NATURAL COMPUTING[J]. 2020, 第 1 作者 通讯作者 19(1): 199-209, http://dx.doi.org/10.1007/s11047-019-09746-6.
[17] 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, 第 3 作者 通讯作者 7: 178392-178400, https://doaj.org/article/55724a634d264b55bc0859b23497526c.
[18] 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). 2018, 第 7 作者http://dx.doi.org/10.1145/3173574.3174237.
[19] Yao, ZhenJie, Bi, Jie, Chen, YiXin. Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING[J]. 2018, 第 1 作者 通讯作者 15(6): 643-655, http://lib.cqvip.com/Qikan/Article/Detail?id=676825105.
[20] 姚振杰. Atrial fibrillation detection by multi-scale convolutional neural networks. 2017 20th International Conference on Information Fusion (Fusion). 2017, 第 1 作者
[21] 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 1. 2016, 第 1 作者406-409,
[22] Yao, Zhenjie, Yi, Weidong. Curvature aided Hough transform for circle detection. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2016, 第 1 作者 通讯作者 51: 26-33, http://dx.doi.org/10.1016/j.eswa.2015.12.019.
[23] 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). 2016, 第 1 作者584-589, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000391459700105.
[24] Yao, Zhenjie, Yi, Weidong. License plate detection based on multistage information fusion. INFORMATION FUSION[J]. 2014, 第 1 作者 通讯作者 18: 78-85, http://dx.doi.org/10.1016/j.inffus.2013.05.008.
[25] Li, Shidong, Yao, Zhenjie, Yi, Weidong. Frame Fundamental High-Resolution Image Fusion from Inhomogeneous Measurements. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 第 2 作者21(9): 4002-4015,
[2] 姚振杰, Yixin Chen, Jinwei Wang, Junjuan Li, Shuohua Chen, wu shouling, Yanhui Tu, Minghui Zhao, Luxia Zhang. An Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis. ACM Transactions on Computing for Healthcare[J]. 2024, 第 1 作者5(2):
[3] Tianshuai Qi, Peng Xu, Jingwei Xu, Song Sun, Juan Wei, Guangyu Sun, Zhao Liu, Qingchen Cao, Jiangliu Shi, 姚振杰. Test pattern generation by conditional generative model labeled by image parameters. SPIE Advanced Lithography + Patterning, 2024. 2024, 第 10 作者
[4] 蒋中杰, 李志强, 姚振杰. Multi-Objective Optimization in 3D Floorplanning. ELECTRONICS[J]. 2024, 第 3 作者 通讯作者 13(9):
[5] Qiao, Qihang, Chen, Lan, Cai, Hong, Zhang, He, Yao, Zhenjie. An online workflow scheduling algorithm considering license limitation in heterogeneous environment. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2023, 第 5 作者 通讯作者 35(2):
[6] Chang Liu, Zhenjie Yao, Pengfei Liu, Yanhui Tu, Hu Chen, Haibo Cheng, Lixin Xie, Kun Xiao. Early prediction of MODS interventions in the intensive care unit using machine learning. JOURNAL OF BIG DATA[J]. 2023, 第 2 作者10(1): 1-18, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158675/.
[7] Wu, Bo, Fang, Chao, Yao, Zhenjie, Tu, Yanhui, Chen, Yixin. Decompose Auto-Transformer Time Series Anomaly Detection for Network Management. ELECTRONICS[J]. 2023, 第 3 作者12(2): http://dx.doi.org/10.3390/electronics12020354.
[8] Bo Wu, 姚振杰. A Dilated Transformer Network for Time Series Anomaly Detection. 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI). 2022, 第 2 作者https://ieeexplore.ieee.org/document/10098005.
[9] 姚振杰. Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. 2021 IEEE International Conference on Big Data (Big Data). 2021, 第 1 作者
[10] 姚振杰. Deep Reinforcement Learning for Job Scheduling on Cluster. International Conference on Artificial Neural Networks. 2021, 第 1 作者
[11] 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). 2021, 第 4 作者 通讯作者
[12] 姚振杰, Qian Xu, 陈永锐. Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. International Joint Conference on Neural Networks (IJCNN). 2021, 第 1 作者
[13] Li, Nan, Yao, Zhenjie, Tu, Yanhui, Chen, Yixin. Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. IEEE ACCESS[J]. 2020, 第 2 作者8: 164035-164044, https://doaj.org/article/31326b374dad4d0e9dc72cfb1b0ce4ec.
[14] 徐倩, 姚振杰. Attention-Based Multi-component LSTM for Internet Traffic Prediction. International Conference on Neural Information Processing (ICONIP)[J]. 2020, 第 2 作者
[15] Yao, Zhenjie, Li, Jiangong, Guan, Zhaoyu, Ye, Yancheng, Chen, Yixin. Liver disease screening based on densely connected deep neural networks. NEURAL NETWORKS[J]. 2020, 第 1 作者123: 299-304, http://dx.doi.org/10.1016/j.neunet.2019.11.005.
[16] Yao, Zhenjie, Yi, Weidong. Bionic vision system and its application in license plate recognition. NATURAL COMPUTING[J]. 2020, 第 1 作者 通讯作者 19(1): 199-209, http://dx.doi.org/10.1007/s11047-019-09746-6.
[17] 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, 第 3 作者 通讯作者 7: 178392-178400, https://doaj.org/article/55724a634d264b55bc0859b23497526c.
[18] 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). 2018, 第 7 作者http://dx.doi.org/10.1145/3173574.3174237.
[19] Yao, ZhenJie, Bi, Jie, Chen, YiXin. Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING[J]. 2018, 第 1 作者 通讯作者 15(6): 643-655, http://lib.cqvip.com/Qikan/Article/Detail?id=676825105.
[20] 姚振杰. Atrial fibrillation detection by multi-scale convolutional neural networks. 2017 20th International Conference on Information Fusion (Fusion). 2017, 第 1 作者
[21] 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 1. 2016, 第 1 作者406-409,
[22] Yao, Zhenjie, Yi, Weidong. Curvature aided Hough transform for circle detection. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2016, 第 1 作者 通讯作者 51: 26-33, http://dx.doi.org/10.1016/j.eswa.2015.12.019.
[23] 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). 2016, 第 1 作者584-589, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000391459700105.
[24] Yao, Zhenjie, Yi, Weidong. License plate detection based on multistage information fusion. INFORMATION FUSION[J]. 2014, 第 1 作者 通讯作者 18: 78-85, http://dx.doi.org/10.1016/j.inffus.2013.05.008.
[25] Li, Shidong, Yao, Zhenjie, Yi, Weidong. Frame Fundamental High-Resolution Image Fusion from Inhomogeneous Measurements. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2012, 第 2 作者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