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
招生方向
智能化EDA
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
学历
博士研究生

学位
博士

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) An Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis, ACM Transactions on Computing for Healthcare, 2024, 第 1 作者
(2) Test pattern generation by conditional generative model labeled by image parameters, SPIE Advanced Lithography + Patterning, 2024, 2024, 第 10 作者
(3) Multi-Objective Optimization in 3D Floorplanning, ELECTRONICS, 2024, 通讯作者
(4) An online workflow scheduling algorithm considering license limitation in heterogeneous environment, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 通讯作者
(5) Early prediction of MODS interventions in the intensive care unit using machine learning, JOURNAL OF BIG DATA, 2023, 第 2 作者
(6) Decompose Auto-Transformer Time Series Anomaly Detection for Network Management, ELECTRONICS, 2023, 第 3 作者
(7) 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
(8) Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data, 2021 IEEE International Conference on Big Data (Big Data), 2021, 第 1 作者
(9) Deep Reinforcement Learning for Job Scheduling on Cluster, International Conference on Artificial Neural Networks, 2021, 第 1 作者
(10) Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction, 2021 IEEE International Conference on Big Data (Big Data), 2021, 通讯作者
(11) Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks, International Joint Conference on Neural Networks (IJCNN), 2021, 第 1 作者
(12) Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN, IEEE ACCESS, 2020, 第 2 作者
(13) Attention-Based Multi-component LSTM for Internet Traffic Prediction, International Conference on Neural Information Processing (ICONIP), 2020, 第 2 作者
(14) Liver disease screening based on densely connected deep neural networks, NEURAL NETWORKS, 2020, 第 1 作者
(15) Bionic vision system and its application in license plate recognition, NATURAL COMPUTING, 2020, 通讯作者
(16) A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records, IEEE ACCESS, 2019, 通讯作者
(17) 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
(18) Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey, Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey, INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2018, 通讯作者
(19) Atrial fibrillation detection by multi-scale convolutional neural networks, 2017 20th International Conference on Information Fusion (Fusion), 2017, 第 1 作者
(20) Convolutional Neural Network for Retinal Blood Vessel Segmentation, PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1, 2016, 通讯作者
(21) Curvature aided Hough transform for circle detection, EXPERT SYSTEMS WITH APPLICATIONS, 2016, 通讯作者
(22) Generic Features for Fundus Image Quality Evaluation, 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2016, 通讯作者
(23) License plate detection based on multistage information fusion, INFORMATION FUSION, 2014, 通讯作者
(24) Frame Fundamental High-Resolution Image Fusion from Inhomogeneous Measurements, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 第 2 作者

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