Jing Mei

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 75

Top Venues

Publications

Longbao Dai, Jing Mei, Zhibang Yang, Zhao Tong, Cuibin Zeng, Keqin Li
Lyapunov-guided deep reinforcement learning for delay-aware online task offloading in MEC systems. J. Syst. Archit. 153 (2024)
Zhao Tong, Yuanyang Zhang, Jing Mei, Wei Ai, Kenli Li, Keqin Li
Stackelberg Game-Based Bandwidth Allocation and Resource Pricing for Multiuser in MEC System. IEEE Internet Things J. 11 (13) (2024)
Zhao Tong, Jiake Wang, Jing Mei, Kenli Li, Keqin Li
FedTO: Mobile-Aware Task Offloading in Multi-Base Station Collaborative MEC. IEEE Trans. Veh. Technol. 73 (3) (2024)
Yuanyuan Fu, Teng Ran, Wendong Xiao, Liang Yuan, Jun Zhao, Li He, Jing Mei
GD-YOLO: An improved convolutional neural network architecture for real-time detection of smoking and phone use behaviors. Digit. Signal Process. 151 (2024)
Zhao Tong, Jinhui Cai, Jing Mei, Kenli Li, Keqin Li
Computation Offloading for Energy Efficiency Maximization of Sustainable Energy Supply Network in IIoT. IEEE Trans. Sustain. Comput. 9 (2) (2024)
Haohao Wang, Mengmeng Sun, Lianming Zhang, Pingping Dong, Yehua Wei, Jing Mei
Scheduling optimization for upstream dataflows in edge computing. Digit. Commun. Networks 9 (6) (2023)
Zhao Tong, Jiake Wang, Jing Mei, Kenli Li, Wenbin Li, Keqin Li
Multi-type task offloading for wireless Internet of Things by federated deep reinforcement learning. Future Gener. Comput. Syst. 145 (2023)
Jing Mei, Zhao Tong, Kenli Li, Lianming Zhang, Keqin Li
Energy-Efficient Heuristic Computation Offloading With Delay Constraints in Mobile Edge Computing. IEEE Trans. Serv. Comput. 16 (6) (2023)
Zhao Tong, Xin Deng, Jing Mei, Longbao Dai, Kenli Li, Keqin Li
Stackelberg game-based task offloading and pricing with computing capacity constraint in mobile edge computing. J. Syst. Archit. 137 (2023)
Zhao Tong, Bilan Liu, Jing Mei, Jiake Wang, Xin Peng, Keqin Li
Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing. J. Grid Comput. 21 (3) (2023)
Jing Mei, Longbao Dai, Zhao Tong, Lianming Zhang, Keqin Li
Lyapunov optimized energy-efficient dynamic offloading with queue length constraints. J. Syst. Archit. 143 (2023)
Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer F. Syeda-Mahmood
Medical visual question answering using joint self-supervised learning. CoRR (2023)
Zhao Tong, Bilan Liu, Jing Mei, Jiake Wang, Wenbin Li, Keqin Li
D2OP: A Fair Dual-Objective Weighted Scheduling Scheme in Internet of Everything. IEEE Internet Things J. 10 (10) (2023)
Jing Mei, Longbao Dai, Zhao Tong, Xin Deng, Keqin Li
Throughput-Aware Dynamic Task Offloading Under Resource Constant for MEC With Energy Harvesting Devices. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) (2022)
Lianming Zhang, Qian Wang, Pingping Dong, Yehua Wei, Jing Mei
Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach. CoRR (2022)
Zhao Tong, Jinhui Cai, Jing Mei, Kenli Li, Keqin Li
Dynamic Energy-Saving Offloading Strategy Guided by Lyapunov Optimization for IoT Devices. IEEE Internet Things J. 9 (20) (2022)
Zhao Tong, Feng Ye, Jing Mei, Bilan Liu, Keqin Li
A novel task offloading algorithm based on an integrated trust mechanism in mobile edge computing. J. Parallel Distributed Comput. 169 (2022)
Mengmeng Sun, Lianming Zhang, Jing Mei, Pingping Dong
Emotion-aware Task Scheduling for Au-tonomous Vehicles in Software-defined Edge Networks. KSII Trans. Internet Inf. Syst. 16 (11) (2022)
Xiaoyong Tang, Wenbiao Cao, Huiya Tang, Tan Deng, Jing Mei, Yi Liu, Cheng Shi, Meng Xia, Zeng Zeng
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Zhao Tong, Xiaomei Deng, Jing Mei, Bilan Liu, Keqin Li
Response time and energy consumption co-offloading with SLRTA algorithm in cloud-edge collaborative computing. Future Gener. Comput. Syst. 129 (2022)
Lianming Zhang, Huan Zhang, Qian Tang, Pingping Dong, Zhen Zhao, Yehua Wei, Jing Mei, Kaiping Xue
LNTP: An End-to-End Online Prediction Model for Network Traffic. IEEE Netw. 35 (1) (2021)
Zhao Tong, Xiaomei Deng, Hongjian Chen, Jing Mei
DDMTS: A novel dynamic load balancing scheduling scheme under SLA constraints in cloud computing. J. Parallel Distributed Comput. 149 (2021)
Jing Mei, Huahu Xu, Yang Li, Minjie Bian, Yuzhe Huang
MFCNet: Mining Features Context Network for RGB-IR Person Re-Identification. Future Internet 13 (11) (2021)
Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei
Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics 115 (2021)
Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records. CoRR (2021)
Pengwei Hu, Yuan Huang, Jing Mei, Henry Leung, Zhanheng Chen, Ze-min Kuang, Zhu-Hong You, Lun Hu
Learning from low-rank multimodal representations for predicting disease-drug associations. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Zhao Tong, Feng Ye, Bilan Liu, Jinhui Cai, Jing Mei
DDQN-TS: A novel bi-objective intelligent scheduling algorithm in the cloud environment. Neurocomputing 455 (2021)
Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei
BlueMemo: Depression Analysis through Twitter Posts. IJCAI (2020)
Tengteng Zhang, Yiqin Yu, Jing Mei, Zefang Tang, Xiang Zhang, Shaochun Li
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification. CoRR (2020)
Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung
SenseMood: Depression Detection on Social Media. ICMR (2020)
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR (2020)
Yanfei Wang, Jie Ma, Bibo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li
Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning. ISBI (2020)
Jian Wang, Ke Wang, Jing Li, Jianmin Jiang, Yanfei Wang, Jing Mei, Shaochun Li
Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19. AMIA (2020)
Zhong Qu, Jing Mei, Ling Liu, Dong-Yang Zhou
Crack Detection of Concrete Pavement With Cross-Entropy Loss Function and Improved VGG16 Network Model. IEEE Access 8 (2020)
Xiang Zhang, Ping Geng, Tengteng Zhang, Qian Lu, Peng Gao, Jing Mei
Aceso: PICO-Guided Evidence Summarization on Medical Literature. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Zhao Tong, Xiaomei Deng, Hongjian Chen, Jing Mei, Hong Liu
QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment. Neural Comput. Appl. 32 (10) (2020)
Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) (2020)
Eryu Xia, Ke Wang, Yuan Zhang, Yiqin Yu, Jing Mei, Shaochun Li
A Data-driven Clinical Decision Support System for Acute Coronary Syndrome Patient Similarity. ICHI (2019)
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention. MedInfo (2019)
Jing Li, Jing Mei, Shaochun Li
Accelerating Clinical Practice Guideline Implementation for Chronic Disease Management. ICHI (2019)
Yuan Zhang, Peiyao Li, Xiaoyan Zhao, Eryu Xia, Jing Mei, Zhicheng Yang, Yong Qin, Shaochun Li, Zhengbo Zhang
Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China. ICHI (2019)
Bibo Hao, Shouyu Yan, Eryu Xia, Shilei Zhang, Jing Mei
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams. MedInfo (2019)
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention. CoRR (2019)
Yuan Zhang, Changsheng Ma, Jianzeng Dong, Eryu Xia, Bibo Hao, Jing Mei, Yong Qin, Shaochun Li, Wen Sun, Zhengbo Zhang, Xin Du
Insight Ease: A System for Automated Data-driven Healthcare Insight Generation. ICHI (2019)
Jing Mei, Enliang Xu, Bibo Hao, Yuan Zhang, Yiqin Yu, Shaochun Li
Translational Health Informatics from Risk Prediction Modeling to Risk Assessment Service. ICHI (2019)
Jing Mei, Kenli Li, Zhao Tong, Qiang Li, Keqin Li
Profit Maximization for Cloud Brokers in Cloud Computing. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Jing Mei, Eryu Xia
Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories. MedInfo (2019)
Enliang Xu, Jing Mei, Jing Li, Yiqin Yu, Songfang Huang, Yong Qin
From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes. ICHI (2019)
Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. ICHI (2019)
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR (2018)
Kenli Li, Jing Mei, Keqin Li
A Fund-Constrained Investment Scheme for Profit Maximization in Cloud Computing. IEEE Trans. Serv. Comput. 11 (6) (2018)
Eryu Xia, Wen Sun, Jing Mei, Enliang Xu, Ke Wang, Yong Qin
Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis. AMIA (2018)
ZhiBang Yang, Kenli Li, Xu Zhou, Jing Mei, Yunjun Gao
probabilistic skyline queries on uncertain data. Neurocomputing 317 (2018)
Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI (2017)
Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo (2017)
Eryu Xia, Jing Mei, Guotong Xie, Xuejun Li, Zhibin Li, Meilin Xu
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach. AMIA (2017)
Jing Mei, Kenli Li, Keqin Li
Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing. IEEE Trans. Sustain. Comput. 2 (1) (2017)
Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR (2017)
Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo (2017)
Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu
Personal Health Self-Management in a Data Perspective. MedInfo (2017)
Shuli Wang, Kenli Li, Jing Mei, Guoqing Xiao, Keqin Li
A Reliability-aware Task Scheduling Algorithm Based on Replication on Heterogeneous Computing Systems. J. Grid Comput. 15 (1) (2017)
Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo (2017)
Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) (2016)
Wei Ai, Kenli Li, Shenglin Lan, Fan Zhang, Jing Mei, Keqin Li, Rajkumar Buyya
On Elasticity Measurement in Cloud Computing. Sci. Program. 2016 (2016)
Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM (2016)
Jing Mei, Kenli Li, Xu Zhou, Keqin Li
Fault-Tolerant Dynamic Rescheduling for Heterogeneous Computing Systems. J. Grid Comput. 13 (4) (2015)
Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM (2015)
Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE (2015)
Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo (2015)
Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo (2015)
Longxin Zhang, Kenli Li, Yuming Xu, Jing Mei, Fan Zhang, Keqin Li
Maximizing reliability with energy conservation for parallel task scheduling in a heterogeneous cluster. Inf. Sci. 319 (2015)
Jing Mei, Kenli Li, Aijia Ouyang, Keqin Li
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing. IEEE Trans. Computers 64 (11) (2015)
Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu
Synthesizing Analytic Evidence to Refine Care Pathways. MIE (2015)
Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang
Analysis of Care Pathway Variation Patterns in Patient Records. MIE (2015)
Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie
Embracing case management for computerization of care pathways. MIE (2014)
Jing Mei, Kenli Li, Keqin Li
Energy-aware task scheduling in heterogeneous computing environments. Clust. Comput. 17 (2) (2014)
Shuli Wang, Kenli Li, Jing Mei, Keqin Li, Yan Wang
A Task Scheduling Algorithm Based on Replication for Maximizing Reliability on Heterogeneous Computing Systems. IPDPS Workshops (2014)
Boliang Chen, Jing Mei, Wen Sun, Ruilong Su, Haofen Wang, Gang Hu, Guotong Xie, Yong Yu
SPARQL Query Recommendation for Exploring RDF Repositories. CSWS (2014)
Jing Mei, Kenli Li, Keqin Li
A resource-aware scheduling algorithm with reduced task duplication on heterogeneous computing systems. J. Supercomput. 68 (3) (2014)
Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan
Automatic Variance Analysis of Multistage Care Pathways. MIE (2014)
Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE (2014)
Liang Jie, Kenli Li, Lin Shi, RangSu Liu, Jing Mei
Accelerating solidification process simulation for large-sized system of liquid metal atoms using GPU with CUDA. J. Comput. Phys. 257 (2014)
Jing Mei, Kenli Li, Jingtong Hu, Shu Yin, Edwin Hsing-Mean Sha
Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform. Microprocess. Microsystems 37 (1) (2013)
Haifeng Liu, Guo Tong Xie, Jing Mei, Weijia Shen, Wen Sun, Xiang Li
An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. MedInfo (2013)
Jing Mei, Haifeng Liu, Weijia Shen, Wen Sun, Gang Hu, Guo Tong Xie, Yue Pan
A Framework for Evaluating Sequential Clinical Interventions with Disease Progression. MedInfo (2013)
Jing Mei, Kenli Li
Multi-copy Deleting Approach for Duplication Based Scheduling on Heterogeneous Computing Systems. ICPP Workshops (2012)
Jing Mei, Kenli Li
Energy-Aware Scheduling Algorithm with Duplication on Heterogeneous Computing Systems. GRID (2012)
Jing Mei, Haifeng Liu, Guo Tong Xie, Shengping Liu, Baoyao Zhou
An OCL-compliant GELLO Engine. MIE (2011)
Joe Zou, Jing Mei, Yan Wang
From Representational State Transfer to Accountable State Transfer Architecture. ICWS (2010)
Jing Mei, Shengping Liu, Guo Tong Xie, Aditya Kalyanpur, Achille Fokoue, Yuan Ni, Hanyu Li, Yue Pan
\mathcal{EL}^+ Knowledge Base. ISWC (2009)
Shengping Liu, Yuan Ni, Jing Mei, Hanyu Li, Guo Tong Xie, Gang Hu, Haifeng Liu, Xueqiao Hou, Yue Pan
iSMART: Ontology-based Semantic Query of CDA Documents. AMIA (2009)
Jing Mei, Guo Tong Xie, Shengping Liu, Lei Zhang, Yue Pan
A System to Enable Relational Persistence and Semantic Web style Access Simultaneously for Objects. ISWC (Posters & Demos) (2008)
Jing Mei, Guo Tong Xie, Lei Zhang, Shengping Liu, Robert J. Schloss, Yue Pan, Yuan Ni
UMRR: Towards an Enterprise-Wide Web of Models. ISWC (Posters & Demos) (2008)
Jing Mei, Guo Tong Xie, Yuan Ni, Shengping Liu, Hanyu Li, Yue Pan
Making URIs Published on Data Web RDF Dereferencable. ISWC (Posters & Demos) (2008)
Jing Mei, Zuoquan Lin, Harold Boley
: An Integration of Description Logic and General Rules. RR (2007)
Jing Mei, Zuoquan Lin, Harold Boley, Jie Li, Virendrakumar C. Bhavsar
Combination of Deduction Rules and Description Logics. Comput. Intell. 23 (3) (2007)
Jing Mei, Harold Boley, Jie Li, Virendrakumar C. Bhavsar, Zuoquan Lin
: Datalog Rules Parameterized by Description Logics. CSWWS (2006)
Jing Mei, Li Ma, Yue Pan
Ontology Query Answering on Databases. ISWC (2006)
Jing Mei, Harold Boley
Interpreting SWRL Rules in RDF Graphs. Electron. Notes Theor. Comput. Sci. 151 (2) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Mei