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ORCIDJu Gao
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2010 – 2019
- 2019
[j6]Ju Gao
, Yiming Zhang, Qiang Wu:
All Dielectric Terahertz Left-Handed Metamaterial Based on Mie Resonance Coupling Effects. IEEE Access 7: 94882-94887 (2019)- [j5]Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia, Ju Gao:
QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research. BMC Medical Informatics Decis. Mak. 19(1): 82:1-82:13 (2019) - [j4]Tong Ruan, Liqi Lei, Yangming Zhou, Jie Zhai, Le Zhang, Ping He, Ju Gao:
Representation learning for clinical time series prediction tasks in electronic health records. BMC Medical Informatics Decis. Mak. 19-S(8): 259 (2019) - [c11]Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao, Wen Du:
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. BIBM 2019: 1716-1723 - [i4]Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao:
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection. CoRR abs/1908.07147 (2019) - [i3]Tingting Cai, Yangming Zhou, Zhiyuan Ma, Hong Zheng, Lingfei Zhang, Ping He, Ju Gao:
Active Learning for Chinese Word Segmentation in Medical Text. CoRR abs/1908.08419 (2019) - 2018
- [j3]Zhe Wang, Lijuan Yao, Dongdong Li, Tong Ruan, Min Liu, Ju Gao:
Mortality prediction system for heart failure with orthogonal relief and dynamic radius means. Int. J. Medical Informatics 115: 10-17 (2018) - [j2]Ju Gao, Kuang Zhang, Guohui Yang, Sungtek Kahng, Qun Wu:
Tunable Control of Mie Resonances Based on Hybrid VO2 and Dielectric Metamaterial. Symmetry 10(10): 423 (2018) - [c10]Liqi Lei, Yangming Zhou, Jie Zhai, Le Zhang, Zhijia Fang, Ping He, Ju Gao:
An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs. BIBM 2018: 885-892 - [c9]Jiahui Qiu, Qi Wang, Yangming Zhou, Tong Ruan, Ju Gao:
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions. BIBM 2018: 935-942 - [c8]Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao:
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. BIBM 2018: 1587-1594 - [c7]Ju Gao, Diyan Teng, Emre Ertin:
A Probabilistic Approach for Heart Rate Variability Analysis Using Explicit Duration Hidden Markov Models. SSP 2018: 273-277 - [i2]Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao:
Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. CoRR abs/1807.06718 (2018) - [i1]Jiahui Qiu, Qi Wang, Yangming Zhou, Tong Ruan, Ju Gao:
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions. CoRR abs/1808.08669 (2018) - 2017
- [j1]Tong Ruan, Mengjie Wang, Jian Sun, Ting Wang, Lu Zeng, Yichao Yin, Ju Gao:
An automatic approach for constructing a knowledge base of symptoms in Chinese. J. Biomed. Semant. 8-S(1): 71-79 (2017) - [c6]Yu-Bo Yuan, Wen-Qiang Qiu, Ying-Jie Wang, Ju Gao, Ping He:
Classification of heart failure with Polynomial Smooth Support Vector Machine. ICMLC 2017: 48-54 - [c5]Ting-Ting Zhao, Yu-Bo Yuan, Ying-Jie Wang, Ju Gao, Ping He:
Heart disease classification based on feature fusion. ICMLC 2017: 111-117 - [c4]Huan-Huan Zhang, Zheng Cai, Yu-Bo Yuan, Ying-Jie Wang, Ju Gao:
Risk estimation for age of chronic diseases. ICMLC 2017: 322-328 - [p1]Ju Gao, Siddharth Baskar, Diyan Teng, Mustafa al'Absi, Santosh Kumar, Emre Ertin:
A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 289-312 - 2016
- [c3]Tong Ruan, Mengjie Wang, Jian Sun, Ting Wang, Lu Zeng, Yichao Yin, Ju Gao:
An automatic approach for constructing a knowledge base of symptoms in Chinese. BIBM 2016: 1657-1662 - [c2]Ju Gao, Diyan Teng, Emre Ertin:
ECG feature detection using randomly compressed samples for stable HRV analysis over low rate links. BSN 2016: 165-170 - 2013
- [c1]Ju Gao, Emre Ertin, Santosh Kumar, Mustafa al'Absi:
Contactless sensing of physiological signals using wideband RF probes. ACSSC 2013: 86-90
Coauthor Index
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