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ORCIDZhenjie Yao 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Microelectronics, State Key Laboratory of Fabrication Technologies for Integrated Circuits, Beijing, China
- affiliation: Purple Mountain Laboratory, Nanjing, China
- affiliation: Rhinotech, Beijing, China
- affiliation: China Mobile Research Institute, Center of Excellence for mHealth & Smart Healthcare, Beijing, China
- affiliation: Beijing University of Technology, Beijing Advanced Innovation Center for Future Internet Technology, Beijing, China
- affiliation (PhD 2012): University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Zhenjie Yao (aka: Zhen-Jie Yao) — disambiguation page
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Journal Articles
- 2025
[j16]Zhenjie Yao
, Ziyi Hu, Panpan Lai, Fengling Qin, Wenrui Wang, Zhicheng Wu, Lingfei Wang, Hua Shao, Yongfu Li, Zhiqiang Li, Zhongming Liu, Junjie Li, Rui Chen, Ling Li:
Etching process prediction based on cascade recurrent neural network. Eng. Appl. Artif. Intell. 139: 109590 (2025)- [j15]Li Ding, Kun Pang, Junjie Li, Hua Shao, Nan Liu, Rui Chen, Zhiqiang Li, Zhenjie Yao, Ling Li:
A hyperparameter-fusion neural networks for deposition prediction. Eng. Appl. Artif. Intell. 162: 112434 (2025) - [j14]Zhenjie Yao, Li Ding, He Zhang, Huiqiang Li, Lan Chen, Zhiqiang Li:
Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster. J. Big Data 12(1): 276 (2025) - 2024
- [j13]Huyang Peng, Xiaohan Chang, Zhenjie Yao, Donglin Shi, Yongrui Chen:
A deep learning framework for ECG denoising and classification. Biomed. Signal Process. Control. 94: 106441 (2024) - [j12]Zhongjie Jiang, Zhiqiang Li, Zhenjie Yao:
Multi-objective optimization in fixed-outline floorplanning with reinforcement learning. Comput. Electr. Eng. 120: 109784 (2024) - [j11]Zhenjie Yao, Yixin Chen, Jinwei Wang, Junjuan Li, Shuohua Chen, Shouling Wu, Yanhui Tu, Minghui Zhao, Luxia Zhang:
Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis. ACM Trans. Comput. Heal. 5(2): 8:1-8:13 (2024) - 2023
- [j10]Qihang Qiao, Lan Chen, Hong Cai, He Zhang, Zhenjie Yao:
An online workflow scheduling algorithm considering license limitation in heterogeneous environment. Concurr. Comput. Pract. Exp. 35(2) (2023) - [j9]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. J. Big Data 10(1): 55 (2023) - 2020
- [j8]Nan Li, Zhenjie Yao, Yanhui Tu, Yixin Chen:
Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. IEEE Access 8: 164035-164044 (2020) - [j7]Zhenjie Yao, Weidong Yi:
Bionic vision system and its application in license plate recognition. Nat. Comput. 19(1): 199-209 (2020) - [j6]Zhenjie Yao, Jiangong Li, Zhaoyu Guan, Yancheng Ye, Yixin Chen:
Liver disease screening based on densely connected deep neural networks. Neural Networks 123: 299-304 (2020) - 2019
- [j5]Binhua Wang, Yongyi Bai, Zhenjie Yao, Jiangong Li, Wei Dong, Yanhui Tu, Wanguo Xue, Yaping Tian, Yifei Wang, Kunlun He:
A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. IEEE Access 7: 178392-178400 (2019) - 2018
- [j4]Zhenjie Yao, Jie Bi, Yixin Chen:
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey. Int. J. Autom. Comput. 15(6): 643-655 (2018) - 2016
- [j3]Zhenjie Yao, Weidong Yi:
Curvature aided Hough transform for circle detection. Expert Syst. Appl. 51: 26-33 (2016) - 2014
- [j2]Zhenjie Yao, Weidong Yi:
License plate detection based on multistage information fusion. Inf. Fusion 18: 78-85 (2014) - 2012
- [j1]Shidong Li, Zhenjie Yao, Weidong Yi:
Frame Fundamental High-Resolution Image Fusion From Inhomogeneous Measurements. IEEE Trans. Image Process. 21(9): 4002-4015 (2012)
Conference and Workshop Papers
- 2024
- [c14]Zhipeng Zhang, Wenting Ma, Xiaohang Yuan, Yuan Hao, Meng Guo, Hongyi Tang, Zhiheng Zhou, Zhenjie Yao:
Instance-Aware Uncertainty for Active Learning in Object Detection. ICIP 2024: 298-304 - [c13]Wenting Ma, Zhipeng Zhang, Xiaohang Yuan, Ningwei Xie, Yuxin Xie, Xiaolin Wang, Meng Guo, Xingang Chai, Zhenjie Yao:
Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition. ICONIP (5) 2024: 92-106 - 2022
- [c12]Bo Wu, Qian Xu, Zhenjie Yao, Yanhui Tu, Yixin Chen:
VAE-TCN hybrid model for KPI Anomaly Detection. APNOMS 2022: 1-6 - [c11]Bo Wu, Zhenjie Yao, Yanhui Tu, Yixin Chen:
A Dilated Transformer Network for Time Series Anomaly Detection. ICTAI 2022: 48-52 - 2021
- [c10]Zhaojun Yang, Lan Chen, He Zhang, Zhenjie Yao:
Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction. IEEE BigData 2021: 5311-5316 - [c9]Zhenjie Yao, Yixin Chen, Jinwei Wang, Shouling Wu, Yanhui Tu, Minghui Zhao, Luxia Zhang:
Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. IEEE BigData 2021: 6061-6063 - [c8]Zhenjie Yao, Lan Chen, He Zhang:
Deep Reinforcement Learning for Job Scheduling on Cluster. ICANN (4) 2021: 613-624 - [c7]Zhenjie Yao, Qian Xu, Yongrui Chen, Yanhui Tu, He Zhang, Yixin Chen:
Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. IJCNN 2021: 1-8 - 2020
- [c6]Qian Xu, Zhenjie Yao, Yanhui Tu, Yixin Chen:
Attention-Based Multi-component LSTM for Internet Traffic Prediction. ICONIP (5) 2020: 770-777 - 2018
- [c5]Ke Xu, Shunan Guo, Nan Cao, David Gotz, Aiwen Xu, Huamin Qu, Zhenjie Yao, Yixin Chen:
ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection. CHI 2018: 663 - 2017
- [c4]Zhenjie Yao, Zhiyong Zhu, Yixin Chen:
Atrial fibrillation detection by multi-scale convolutional neural networks. FUSION 2017: 1-6 - 2016
- [c3]Zhen-Jie Yao, Zhi-Peng Zhang, Li-Qun Xu, Qingxia Fan, Ling Xu:
Generic features for fundus image quality evaluation. HealthCom 2016: 1-6 - [c2]Zhenjie Yao, Zhipeng Zhang, Li-Qun Xu:
Convolutional Neural Network for Retinal Blood Vessel Segmentation. ISCID (1) 2016: 406-409 - 2014
- [c1]Zhen-Jie Yao, Zhi-Peng Zhang, Li-Qun Xu:
An Effective Algorithm to Detect Abnormal Step Counting Based on One-Class SVM. CSE 2014: 964-969
Coauthor Index
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