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2020 – today
- 2024
[j42]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: 104554 (2024)- [j41]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): 23737-23751 (2024) - [j40]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: 103194 (2024) - [j39]Zhao Tong, Jiaxin Deng, Jing Mei, Yuanyang Zhang, Keqin Li:
Multi-Objective DAG Task Offloading in MEC Environment Based on Federated DQN With Automated Hyperparameter Optimization. IEEE Trans. Serv. Comput. 17(6): 3999-4012 (2024) - [j38]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): 128-140 (2024) - [j37]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): 4352-4365 (2024) - 2023
- [j36]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): 1448-1457 (2023) - [j35]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: 536-549 (2023) - [j34]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): 41 (2023) - [j33]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): 9206-9219 (2023) - [j32]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: 102847 (2023) - [j31]Jing Mei, Longbao Dai, Zhao Tong, Lianming Zhang, Keqin Li:
Lyapunov optimized energy-efficient dynamic offloading with queue length constraints. J. Syst. Archit. 143: 102979 (2023) - [j30]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): 3460-3473 (2023) - [j29]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): 4404-4417 (2023) - [i8]Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer F. Syeda-Mahmood:
Medical visual question answering using joint self-supervised learning. CoRR abs/2302.13069 (2023) - 2022
- [j28]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: 64-76 (2022) - [j27]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): 19903-19915 (2022) - [j26]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): 3523-3543 (2022) - [j25]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: 185-198 (2022) - [j24]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): 2079-2092 (2022) - [c57]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: 739-752 - [i7]Lianming Zhang, Qian Wang, Pingping Dong, Yehua Wei, Jing Mei:
Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach. CoRR abs/2205.03115 (2022) - 2021
- [j23]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): 290 (2021) - [j22]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: 419-430 (2021) - [j21]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: 103686 (2021) - [j20]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: 138-148 (2021) - [j19]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): 308 (2021) - [j18]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): 226-233 (2021) - [i6]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 abs/2101.04853 (2021) - 2020
- [j17]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: 54564-54573 (2020) - [j16]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): 5553-5570 (2020) - [j15]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): 2663-2670 (2020) - [c56]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 - [c55]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: 524-534 - [c54]Pengwei Hu, Chenhao Lin, Hui Su, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei:
BlueMemo: Depression Analysis through Twitter Posts. IJCAI 2020: 5252-5254 - [c53]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: 1933-1936 - [c52]Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung:
SenseMood: Depression Detection on Social Media. ICMR 2020: 407-411 - [i5]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 abs/2005.06601 (2020) - [i4]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 abs/2007.12355 (2020)
2010 – 2019
- 2019
- [j14]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): 190-203 (2019) - [c51]Jing Li, Jing Mei, Shaochun Li:
Accelerating Clinical Practice Guideline Implementation for Chronic Disease Management. ICHI 2019: 1-2 - [c50]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: 1-2 - [c49]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: 1-6 - [c48]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: 1-8 - [c47]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: 1-2 - [c46]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: 1-3 - [c45]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: 1-7 - [c44]Jing Mei, Eryu Xia:
Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories. MedInfo 2019: 258-262 - [c43]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: 457-461 - [c42]Bibo Hao, Shouyu Yan, Eryu Xia, Shilei Zhang, Jing Mei:
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams. MedInfo 2019: 1470-1471 - [i3]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 abs/1903.00197 (2019) - 2018
- [j13]ZhiBang Yang, Kenli Li, Xu Zhou, Jing Mei, Yunjun Gao:
Top k probabilistic skyline queries on uncertain data. Neurocomputing 317: 1-14 (2018) - [j12]Kenli Li, Jing Mei, Keqin Li:
A Fund-Constrained Investment Scheme for Profit Maximization in Cloud Computing. IEEE Trans. Serv. Comput. 11(6): 893-907 (2018) - [c41]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 - [i2]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 abs/1810.07692 (2018) - 2017
- [j11]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): 23-39 (2017) - [j10]Jing Mei, Kenli Li, Keqin Li:
Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing. IEEE Trans. Sustain. Comput. 2(1): 17-29 (2017) - [c40]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: 2824-2830 - [c39]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 - [c38]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: 639-643 - [c37]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: 1185-1189 - [c36]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: 1244 - [c35]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: 1277 - [i1]Jing Mei, Eryu Xia, Xiang Li, Guotong Xie:
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR abs/1707.09706 (2017) - 2016
- [j9]Wei Ai, Kenli Li, Shenglin Lan, Fan Zhang, Jing Mei, Keqin Li, Rajkumar Buyya:
On Elasticity Measurement in Cloud Computing. Sci. Program. 2016: 7519507:1-7519507:13 (2016) - [c34]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: 659-668 - [c33]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 - 2015
- [j8]Jing Mei, Kenli Li, Xu Zhou, Keqin Li:
Fault-Tolerant Dynamic Rescheduling for Heterogeneous Computing Systems. J. Grid Comput. 13(4): 507-525 (2015) - [j7]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: 113-131 (2015) - [j6]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): 3064-3078 (2015) - [c32]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: 226-241 - [c31]Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu:
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo 2015: 300-304 - [c30]Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie:
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo 2015: 711-715 - [c29]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: 70-74 - [c28]Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE 2015: 190-194 - [c27]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: 692-696 - 2014
- [j5]Jing Mei, Kenli Li, Keqin Li:
Energy-aware task scheduling in heterogeneous computing environments. Clust. Comput. 17(2): 537-550 (2014) - [j4]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: 521-535 (2014) - [j3]Jing Mei, Kenli Li, Keqin Li:
A resource-aware scheduling algorithm with reduced task duplication on heterogeneous computing systems. J. Supercomput. 68(3): 1347-1377 (2014) - [c26]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: 3-16 - [c25]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: 1562-1571 - [c24]Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie:
Embracing case management for computerization of care pathways. MIE 2014: 3-7 - [c23]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: 23-27 - [c22]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: 715-719 - 2013
- [j2]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): 99 (2013) - [c21]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: 947 - [c20]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: 1071 - 2012
- [c19]Jing Mei, Kenli Li:
Energy-Aware Scheduling Algorithm with Duplication on Heterogeneous Computing Systems. GRID 2012: 122-129 - [c18]Jing Mei, Kenli Li:
Multi-copy Deleting Approach for Duplication Based Scheduling on Heterogeneous Computing Systems. ICPP Workshops 2012: 610-611 - 2011
- [c17]Jing Mei, Haifeng Liu, Guo Tong Xie, Shengping Liu, Baoyao Zhou:
An OCL-compliant GELLO Engine. MIE 2011: 130-134 - 2010
- [c16]Joe Zou, Jing Mei, Yan Wang:
From Representational State Transfer to Accountable State Transfer Architecture. ICWS 2010: 299-306
2000 – 2009
- 2009
- [c15]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 - [c14]Jing Mei, Shengping Liu, Guo Tong Xie, Aditya Kalyanpur, Achille Fokoue, Yuan Ni, Hanyu Li, Yue Pan:
A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+\mathcal{EL}^+ Knowledge Base. ISWC 2009: 408-423 - 2008
- [c13]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 - [c12]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 - [c11]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 - [p1]Stijn Heymans, Li Ma, Darko Anicic, Zhilei Ma, Nathalie Steinmetz, Yue Pan, Jing Mei, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Cristina Feier, Graham Hench, Branimir Wetzstein, Uwe Keller:
Ontology Reasoning with Large Data Repositories. Ontology Management 2008: 89-128 - 2007
- [j1]Jing Mei, Zuoquan Lin, Harold Boley, Jie Li, Virendrakumar C. Bhavsar:
The DATALOGDL Combination of Deduction Rules and Description Logics. Comput. Intell. 23(3): 356-372 (2007) - [c10]Jing Mei, Zuoquan Lin, Harold Boley:
ALCuP: An Integration of Description Logic and General Rules. RR 2007: 163-177 - 2006
- [c9]Jing Mei, Harold Boley, Jie Li, Virendrakumar C. Bhavsar, Zuoquan Lin:
DatalogDL: Datalog Rules Parameterized by Description Logics. CSWWS 2006: 171-187 - [c8]Jing Mei, Li Ma, Yue Pan:
Ontology Query Answering on Databases. ISWC 2006: 445-458 - 2005
- [c7]Jing Mei, Elena Paslaru Bontas, Zuoquan Lin:
OWL2Jess: A Transformational Implementation of the OWL Semantics. ISPA Workshops 2005: 599-608 - [c6]Marcel Ball, Harold Boley, David Hirtle, Jing Mei, Bruce Spencer:
The OO jDREW Reference Implementation of RuleML. RuleML 2005: 218-223 - [c5]Marcel Ball, Harold Boley, David Hirtle, Jing Mei, Bruce Spencer:
Implementing RuleML Using Schemas, Translators, and Bidirectional Interpreters. Rule Languages for Interoperability 2005 - [c4]Harold Boley, Jing Mei, Michael Sintek, Gerd Wagner:
RDF/RuleML Interoperability. Rule Languages for Interoperability 2005 - [c3]Jing Mei, Harold Boley:
Interpreting SWRL Rules in RDF Graphs. WLFM@FM 2005: 53-69 - 2004
- [c2]Jing Mei, Shengping Liu, Anbu Yue, Zuoquan Lin:
An Extension to OWL with General Rules. RuleML 2004: 155-169 - [c1]Shengping Liu, Jing Mei, Anbu Yue, Zuoquan Lin:
XSDL: Making XML Semantics Explicit. SWDB 2004: 64-83
Coauthor Index
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