Alert button
Picture for Jing Mei

Jing Mei

Alert button

Medical visual question answering using joint self-supervised learning

Feb 25, 2023
Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer Syeda-Mahmood

Figure 1 for Medical visual question answering using joint self-supervised learning
Figure 2 for Medical visual question answering using joint self-supervised learning
Figure 3 for Medical visual question answering using joint self-supervised learning
Figure 4 for Medical visual question answering using joint self-supervised learning
Viaarxiv icon

Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach

May 06, 2022
Lianming Zhang, Qian Wang, Pingping Dong, Yehua Wei, Jing Mei

Figure 1 for Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach
Figure 2 for Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach
Figure 3 for Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach
Figure 4 for Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach
Viaarxiv icon

Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records

Jan 13, 2021
Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei

Figure 1 for Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Figure 2 for Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Figure 3 for Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Figure 4 for Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Viaarxiv icon

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Aug 07, 2020
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

Figure 1 for Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Figure 2 for Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Figure 3 for Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Figure 4 for Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Viaarxiv icon

Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification

Apr 30, 2020
Tengteng Zhang, Yiqin Yu, Jing Mei, Zefang Tang, Xiang Zhang, Shaochun Li

Figure 1 for Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Figure 2 for Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Figure 3 for Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Figure 4 for Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Viaarxiv icon

Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention

Mar 27, 2019
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li

Figure 1 for Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Figure 2 for Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Figure 3 for Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Figure 4 for Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Viaarxiv icon

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks

Oct 17, 2018
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li

Figure 1 for Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Figure 2 for Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Figure 3 for Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Figure 4 for Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Viaarxiv icon

Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories

Jul 31, 2017
Jing Mei, Eryu Xia, Xiang Li, Guotong Xie

Figure 1 for Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Figure 2 for Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Figure 3 for Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Figure 4 for Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Viaarxiv icon