An Extension to OWL with General Rules. - Jing Mei; Shengping Liu; Anbu Yue; Zuoquan Lin (RuleML, 2004)

XSDL: Making XML Semantics Explicit. - Shengping Liu; Jing Mei; Anbu Yue; Zuoquan Lin (SWDB, 2004)

OWL2Jess: A Transformational Implementation of the OWL Semantics. - Jing Mei; Elena Paslaru Bontas; Zuoquan Lin (ISPA Workshops, 2005)

The OO jDREW Reference Implementation of RuleML. - Marcel Ball; Harold Boley; David Hirtle; Jing Mei; Bruce Spencer (RuleML, 2005)

Implementing RuleML Using Schemas, Translators, and Bidirectional Interpreters. - Marcel Ball; Harold Boley; David Hirtle; Jing Mei; Bruce Spencer (Rule Languages for Interoperability, 2005)

RDF/RuleML Interoperability. - Harold Boley; Jing Mei; Michael Sintek; Gerd Wagner 001 (Rule Languages for Interoperability, 2005)

Interpreting SWRL Rules in RDF Graphs. - Jing Mei; Harold Boley (WLFM@FM, 2005)

DatalogDL: Datalog Rules Parameterized by Description Logics. - Jing Mei; Harold Boley; Jie Li; Virendrakumar C. Bhavsar; Zuoquan Lin (CSWWS, 2006)

Ontology Query Answering on Databases. - Jing Mei; Li Ma 002; Yue Pan (ISWC, 2006)

ALCuP: An Integration of Description Logic and General Rules. - Jing Mei; Zuoquan Lin; Harold Boley (RR, 2007)

The DATALOGDL Combination of Deduction Rules and Description Logics. - Jing Mei; Zuoquan Lin; Harold Boley; Jie Li; Virendrakumar C. Bhavsar (Comput. Intell., 2007)

A System to Enable Relational Persistence and Semantic Web style Access Simultaneously for Objects. - Jing Mei; Guo Tong Xie; Shengping Liu; Lei Zhang 007; Yue Pan (ISWC (Posters & Demos), 2008)

Making URIs Published on Data Web RDF Dereferencable. - Jing Mei; Guo Tong Xie; Yuan Ni; Shengping Liu; Hanyu Li; Yue Pan (ISWC (Posters & Demos), 2008)

UMRR: Towards an Enterprise-Wide Web of Models. - Jing Mei; Guo Tong Xie; Lei Zhang 007; Shengping Liu; Robert J. Schloss; Yue Pan; Yuan Ni (ISWC (Posters & Demos), 2008)

Ontology Reasoning with Large Data Repositories. - Stijn Heymans; Li Ma 002; Darko Anicic; Zhilei Ma; Nathalie Steinmetz; Yue Pan; Jing Mei; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Edith Schonberg; Kavitha Srinivas; et al. (Ontology Management, 2008)

iSMART: Ontology-based Semantic Query of CDA Documents. - Shengping Liu; Yuan Ni; Jing Mei; Hanyu Li; Guo Tong Xie; Gang Hu 001; Haifeng Liu 005; Xueqiao Hou; Yue Pan (AMIA, 2009)

A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+ mathcal{EL}^+ Knowledge Base. - Jing Mei; Shengping Liu; Guo Tong Xie; Aditya Kalyanpur; Achille Fokoue; Yuan Ni; Hanyu Li; Yue Pan (ISWC, 2009)

From Representational State Transfer to Accountable State Transfer Architecture. - Joe Zou; Jing Mei; Yan Wang 002 (ICWS, 2010)

An OCL-compliant GELLO Engine. - Jing Mei; Haifeng Liu 005; Guo Tong Xie; Shengping Liu; Baoyao Zhou (MIE, 2011)

Energy-Aware Scheduling Algorithm with Duplication on Heterogeneous Computing Systems. - Jing Mei; Kenli Li 001 (GRID, 2012)

Multi-copy Deleting Approach for Duplication Based Scheduling on Heterogeneous Computing Systems. - Jing Mei; Kenli Li 001 (ICPP Workshops, 2012)

An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. - Haifeng Liu 005; Guo Tong Xie; Jing Mei; Weijia Shen; Wen Sun; Xiang Li 013 (MedInfo, 2013)

A Framework for Evaluating Sequential Clinical Interventions with Disease Progression. - Jing Mei; Haifeng Liu 005; Weijia Shen; Wen Sun; Gang Hu 001; Guo Tong Xie; Yue Pan (MedInfo, 2013)

Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform. - Jing Mei; Kenli Li 001; Jingtong Hu; Shu Yin 001; Edwin Hsing-Mean Sha (Microprocess. Microsystems, 2013)

SPARQL Query Recommendation for Exploring RDF Repositories. - Boliang Chen; Jing Mei; Wen Sun; Ruilong Su; Haofen Wang; Gang Hu 001; Guotong Xie; Yong Yu 001 (CSWS, 2014)

A Task Scheduling Algorithm Based on Replication for Maximizing Reliability on Heterogeneous Computing Systems. - Shuli Wang; Kenli Li 001; Jing Mei; Keqin Li 001; Yan Wang 022 (IPDPS Workshops, 2014)

Automatic Variance Analysis of Multistage Care Pathways. - Xiang Li 013; Haifeng Liu 005; Shilei Zhang; Jing Mei; Guotong Xie; Yiqin Yu; Jing Li; Geetika T. Lakshmanan (MIE, 2014)

Embracing case management for computerization of care pathways. - Jing Mei; Jing Li; Yiqin Yu; Xiang Li 013; Haifeng Liu 005; Guotong Xie (MIE, 2014)

Care Pathway Workbench: Evidence Harmonization from Guideline and Data. - Yiqin Yu; Haifeng Liu 005; Jing Li; Xiang Li 013; Jing Mei; Guotong Xie; Adam Perer; Fei Wang 001; Jianying Hu (MIE, 2014)

Energy-aware task scheduling in heterogeneous computing environments. - Jing Mei; Kenli Li 001; Keqin Li 001 (Clust. Comput., 2014)

Accelerating solidification process simulation for large-sized system of liquid metal atoms using GPU with CUDA. - Liang Jie; Kenli Li 001; Lin Shi; RangSu Liu; Jing Mei (J. Comput. Phys., 2014)

A resource-aware scheduling algorithm with reduced task duplication on heterogeneous computing systems. - Jing Mei; Kenli Li 001; Keqin Li 001 (J. Supercomput., 2014)

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. - Yiqin Yu; Xiang Li 013; Haifeng Liu 005; Jing Mei; Nirmal Mukhi; Vatche Ishakian; Guotong Xie; Geetika T. Lakshmanan; Mike Marin (BPM, 2015)

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. - Xiang Li 013; Haifeng Liu 005; Jing Mei; Yiqin Yu; Guo Tong Xie (MedInfo, 2015)

A Decision Fusion Framework for Treatment Recommendation Systems. - Jing Mei; Haifeng Liu 005; Xiang Li 013; Guo Tong Xie; Yiqin Yu (MedInfo, 2015)

Analysis of Care Pathway Variation Patterns in Patient Records. - Xiang Li 013; Jing Mei; Haifeng Liu 005; Yiqin Yu; Guotong Xie; Jianying Hu; Fei Wang 001 (MIE, 2015)

Synthesizing Analytic Evidence to Refine Care Pathways. - Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Jing Mei; Guo Tong Xie; Adam Perer; Fei Wang 001; Jianying Hu (MIE, 2015)

Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. - Jing Mei; Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Guotong Xie (MIE, 2015)

Fault-Tolerant Dynamic Rescheduling for Heterogeneous Computing Systems. - Jing Mei; Kenli Li 001; Xu Zhou 001; Keqin Li 001 (J. Grid Comput., 2015)

Maximizing reliability with energy conservation for parallel task scheduling in a heterogeneous cluster. - Longxin Zhang; Kenli Li 001; Yuming Xu; Jing Mei; Fan Zhang 003; Keqin Li 001 (Inf. Sci., 2015)

A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing. - Jing Mei; Kenli Li 001; Aijia Ouyang; Keqin Li 001 (IEEE Trans. Computers, 2015)

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. - Lingxiao Zhang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Gang Hu 001; Junfeng Zhao 001; Yanzhen Zou; Bing Xie; Guotong Xie (ICDM, 2016)

Building Evidence Graph for Clinical Decision Support. - Jing Mei; Wen Sun; Jing Li; Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Guotong Xie (ISWC (Posters & Demos), 2016)

On Elasticity Measurement in Cloud Computing. - Wei Ai 001; Kenli Li 001; Shenglin Lan; Fan Zhang 003; Jing Mei; Keqin Li 001; Rajkumar Buyya (Sci. Program., 2016)

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. - Kai Yang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Guo Tong Xie; Junfeng Zhao 001; Bing Xie; Fei Wang 001 (AAAI, 2017)

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach. - Eryu Xia; Jing Mei; Guotong Xie; Xuejun Li; Zhibin Li; Meilin Xu (AMIA, 2017)

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. - Jing Mei; Shiwan Zhao; Feng Jin; Lingxiao Zhang; Haifeng Liu 005; Xiang Li 013; Guotong Xie; Xuejun Li; Meilin Xu (MedInfo, 2017)

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. - Eryu Xia; Haifeng Liu 005; Jing Li; Jing Mei; Xuejun Li; Enliang Xu; Xiang Li 013; Gang Hu 001; Guotong Xie; Meilin Xu (MedInfo, 2017)

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. - Enliang Xu; Xiang Li 013; Jing Mei; Shiwan Zhao; Gang Hu 001; Eryu Xia; Haifeng Liu 005; Guotong Xie; Meilin Xu; Xuejun Li (MedInfo, 2017)

Personal Health Self-Management in a Data Perspective. - Yiqin Yu; Xiang Li 013; Gang Hu 001; Haifeng Liu 005; Jing Mei; Yuan Ni; Guoyu Tang; Guotong Xie; Weiming Xu (MedInfo, 2017)

Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. - Jing Mei; Eryu Xia; Xiang Li 013; Guotong Xie (CoRR, 2017)

A Reliability-aware Task Scheduling Algorithm Based on Replication on Heterogeneous Computing Systems. - Shuli Wang; Kenli Li 001; Jing Mei; Guoqing Xiao 001; Keqin Li 001 (J. Grid Comput., 2017)

Customer-Satisfaction-Aware Optimal Multiserver Configuration for Profit Maximization in Cloud Computing. - Jing Mei; Kenli Li 001; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2017)

Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis. - Eryu Xia; Wen Sun; Jing Mei; Enliang Xu; Ke Wang; Yong Qin (AMIA, 2018)

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. - Jing Mei; Shiwan Zhao; Feng Jin; Eryu Xia; Haifeng Liu 005; Xiang Li 013 (CoRR, 2018)

Top k probabilistic skyline queries on uncertain data. - ZhiBang Yang; Kenli Li 001; Xu Zhou 001; Jing Mei; Yunjun Gao (Neurocomputing, 2018)

A Fund-Constrained Investment Scheme for Profit Maximization in Cloud Computing. - Kenli Li 001; Jing Mei; Keqin Li 001 (IEEE Trans. Serv. Comput., 2018)

Accelerating Clinical Practice Guideline Implementation for Chronic Disease Management. - Jing Li; Jing Mei; Shaochun Li (ICHI, 2019)

Translational Health Informatics from Risk Prediction Modeling to Risk Assessment Service. - Jing Mei; Enliang Xu; Bibo Hao; Yuan Zhang; Yiqin Yu; Shaochun Li (ICHI, 2019)

A Data-driven Clinical Decision Support System for Acute Coronary Syndrome Patient Similarity. - Eryu Xia; Ke Wang; Yuan Zhang; Yiqin Yu; Jing Mei; Shaochun Li (ICHI, 2019)

From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes. - Enliang Xu; Jing Mei; Jing Li; Yiqin Yu; Songfang Huang; Yong Qin 001 (ICHI, 2019)

Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. - Enliang Xu; Shiwan Zhao; Jing Mei; Eryu Xia; Yiqin Yu; Songfang Huang (ICHI, 2019)

Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China. - Yuan Zhang; Peiyao Li; Xiaoyan Zhao; Eryu Xia; Jing Mei; Zhicheng Yang; Yong Qin; Shaochun Li; Zhengbo Zhang (ICHI, 2019)

Insight Ease: A System for Automated Data-driven Healthcare Insight Generation. - Yuan Zhang; Changsheng Ma; Jianzeng Dong; Eryu Xia; Bibo Hao; Jing Mei; Yong Qin; Shaochun Li; Wen Sun; Zhengbo Zhang; Xin Du (ICHI, 2019)

Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams. - Bibo Hao; Shouyu Yan; Eryu Xia; Shilei Zhang; Jing Mei (MedInfo, 2019)

Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories. - Jing Mei; Eryu Xia (MedInfo, 2019)

Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention. - Eryu Xia; Xin Du; Jing Mei; Wen Sun; Suijun Tong; Zhiqing Kang; Jian Sheng; Jian Li; Changsheng Ma; Jianzeng Dong; Shaochun Li (MedInfo, 2019)

Profit Maximization for Cloud Brokers in Cloud Computing. - Jing Mei; Kenli Li 001; Zhao Tong 001; Qiang Li; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19. - Jian Wang; Ke Wang; Jing Li; Jianmin Jiang; Yanfei Wang; Jing Mei; Shaochun Li (AMIA, 2020)

Embracing Disease Progression with a Learning System for Real World Evidence Discovery. - Zefang Tang; Lun Hu; Xu Min; Yuan Zhang; Jing Mei; Kenney Ng; Shaochun Li; Pengwei Hu 001; Zhuhong You (ICIC (2), 2020)

BlueMemo: Depression Analysis through Twitter Posts. - Pengwei Hu 001; Chenhao Lin; Hui Su; Shaochun Li; Xue Han; Yuan Zhang; Jing Mei (IJCAI, 2020)

Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning. - Yanfei Wang; Jie Ma; Bibo Hao; Pengwei Hu 001; Xiaoqian Wang 006; Jing Mei; Shaochun Li (ISBI, 2020)

SenseMood: Depression Detection on Social Media. - Chenhao Lin; Pengwei Hu 001; Hui Su; Shaochun Li; Jing Mei; Jie Zhou 016; Henry Leung (ICMR, 2020)

Crack Detection of Concrete Pavement With Cross-Entropy Loss Function and Improved VGG16 Network Model. - Zhong Qu; Jing Mei; Ling Liu; Dong-Yang Zhou (IEEE Access, 2020)

Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification. - Tengteng Zhang; Yiqin Yu; Jing Mei; Zefang Tang; Xiang Zhang; Shaochun Li (CoRR, 2020)

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. - Yiqin Yu; Xu Min; Shiwan Zhao; Jing Mei; Fei Wang 001; Dongsheng Li; Kenney Ng; Shaochun Li (CoRR, 2020)

QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment. - Zhao Tong 001; Xiaomei Deng; Hongjian Chen; Jing Mei; Hong Liu (Neural Comput. Appl., 2020)

Aceso: PICO-Guided Evidence Summarization on Medical Literature. - Xiang Zhang 026; Ping Geng; Tengteng Zhang; Qian Lu; Peng Gao; Jing Mei (IEEE J. Biomed. Health Informatics, 2020)

Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records. - Yiqin Yu; Pin-Yu Chen; Yuan Zhou; Jing Mei (CoRR, 2021)

MFCNet: Mining Features Context Network for RGB-IR Person Re-Identification. - Jing Mei; Huahu Xu; Yang Li 081; Minjie Bian; Yuzhe Huang (Future Internet, 2021)

DDQN-TS: A novel bi-objective intelligent scheduling algorithm in the cloud environment. - Zhao Tong 001; Feng Ye; Bilan Liu; Jinhui Cai; Jing Mei (Neurocomputing, 2021)

Disease network delineates the disease progression profile of cardiovascular diseases. - Zefang Tang; Yiqin Yu; Kenney Ng; Daby Sow; Jianying Hu; Jing Mei (J. Biomed. Informatics, 2021)

DDMTS: A novel dynamic load balancing scheduling scheme under SLA constraints in cloud computing. - Zhao Tong 001; Xiaomei Deng; Hongjian Chen; Jing Mei (J. Parallel Distributed Comput., 2021)

Learning from low-rank multimodal representations for predicting disease-drug associations. - Pengwei Hu 001; Yuan Huang; Jing Mei; Henry Leung; Zhanheng Chen; Ze-min Kuang; Zhu-Hong You; Lun Hu (BMC Medical Informatics Decis. Mak., 2021)

LNTP: An End-to-End Online Prediction Model for Network Traffic. - Lianming Zhang; Huan Zhang; Qian Tang; Pingping Dong; Zhen Zhao; Yehua Wei; Jing Mei; Kaiping Xue (IEEE Netw., 2021)

Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. - 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 001 (ICIC (1), 2022)

Latency Guarantee for Ubiquitous Intelligence in 6G: A Network Calculus Approach. - Lianming Zhang; Qian Wang; Pingping Dong; Yehua Wei; Jing Mei (CoRR, 2022)

Response time and energy consumption co-offloading with SLRTA algorithm in cloud-edge collaborative computing. - Zhao Tong 001; Xiaomei Deng; Jing Mei; Bilan Liu; Keqin Li 001 (Future Gener. Comput. Syst., 2022)

Dynamic Energy-Saving Offloading Strategy Guided by Lyapunov Optimization for IoT Devices. - Zhao Tong 001; Jinhui Cai; Jing Mei; Kenli Li 001; Keqin Li 001 (IEEE Internet Things J., 2022)

Emotion-aware Task Scheduling for Au-tonomous Vehicles in Software-defined Edge Networks. - Mengmeng Sun; Lianming Zhang; Jing Mei; Pingping Dong (KSII Trans. Internet Inf. Syst., 2022)

A novel task offloading algorithm based on an integrated trust mechanism in mobile edge computing. - Zhao Tong 001; Feng Ye; Jing Mei; Bilan Liu; Keqin Li 001 (J. Parallel Distributed Comput., 2022)

Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds. - Xiaoyong Tang; Wenbiao Cao; Huiya Tang; Tan Deng; Jing Mei; Yi Liu; Cheng Shi; Meng Xia; Zeng Zeng (IEEE Trans. Parallel Distributed Syst., 2022)

Medical visual question answering using joint self-supervised learning. - Yuan Zhou; Jing Mei; Yiqin Yu; Tanveer F. Syeda-Mahmood (CoRR, 2023)

Energy-Efficient Heuristic Computation Offloading With Delay Constraints in Mobile Edge Computing. - Jing Mei; Zhao Tong 001; Kenli Li 001; Lianming Zhang; Keqin Li 001 (IEEE Trans. Serv. Comput., 2023)

Stackelberg game-based task offloading and pricing with computing capacity constraint in mobile edge computing. - Zhao Tong 001; Xin Deng; Jing Mei; Longbao Dai; Kenli Li 001; Keqin Li 001 (J. Syst. Archit., 2023)

D2OP: A Fair Dual-Objective Weighted Scheduling Scheme in Internet of Everything. - Zhao Tong 001; Bilan Liu; Jing Mei; Jiake Wang; Wenbin Li 005; Keqin Li 001 (IEEE Internet Things J., 2023)

Multi-type task offloading for wireless Internet of Things by federated deep reinforcement learning. - Zhao Tong 001; Jiake Wang; Jing Mei; Kenli Li 001; Wenbin Li 005; Keqin Li 001 (Future Gener. Comput. Syst., 2023)

Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing. - Zhao Tong 001; Bilan Liu; Jing Mei; Jiake Wang; Xin Peng; Keqin Li 001 (J. Grid Comput., 2023)

Throughput-Aware Dynamic Task Offloading Under Resource Constant for MEC With Energy Harvesting Devices. - Jing Mei; Longbao Dai; Zhao Tong 001; Xin Deng; Keqin Li 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Lyapunov optimized energy-efficient dynamic offloading with queue length constraints. - Jing Mei; Longbao Dai; Zhao Tong 001; Lianming Zhang; Keqin Li 001 (J. Syst. Archit., 2023)

Scheduling optimization for upstream dataflows in edge computing. - Haohao Wang; Mengmeng Sun; Lianming Zhang; Pingping Dong; Yehua Wei; Jing Mei (Digit. Commun. Networks, 2023)

GD-YOLO: An improved convolutional neural network architecture for real-time detection of smoking and phone use behaviors. - Yuanyuan Fu; Teng Ran; Wendong Xiao; Liang Yuan; Jun Zhao; Li He; Jing Mei (Digit. Signal Process., 2024)

Lyapunov-guided deep reinforcement learning for delay-aware online task offloading in MEC systems. - Longbao Dai; Jing Mei; Zhibang Yang; Zhao Tong 001; Cuibin Zeng; Keqin Li 001 (J. Syst. Archit., 2024)

Multi-Objective DAG Task Offloading in MEC Environment Based on Federated DQN With Automated Hyperparameter Optimization. - Zhao Tong 001; Jiaxin Deng; Jing Mei; Yuanyang Zhang; Keqin Li 001 (IEEE Trans. Serv. Comput., 2024)

Computation Offloading for Energy Efficiency Maximization of Sustainable Energy Supply Network in IIoT. - Zhao Tong 001; Jinhui Cai; Jing Mei; Kenli Li 001; Keqin Li 001 (IEEE Trans. Sustain. Comput., 2024)

FedTO: Mobile-Aware Task Offloading in Multi-Base Station Collaborative MEC. - Zhao Tong 001; Jiake Wang; Jing Mei; Kenli Li 001; Keqin Li 001 (IEEE Trans. Veh. Technol., 2024)

Stackelberg Game-Based Bandwidth Allocation and Resource Pricing for Multiuser in MEC System. - Zhao Tong 001; Yuanyang Zhang; Jing Mei; Wei Ai 001; Kenli Li 001; Keqin Li 001 (IEEE Internet Things J., 2024)

Collaborative optimization of offloading and pricing strategies in dynamic MEC system via Stackelberg game. - Jing Mei; Cuibin Zeng; Zhao Tong 001; Longbao Dai; Keqin Li 001 (J. Syst. Archit., 2025)

MADDPG-based task offloading and resource pricing in edge collaboration environment. - Zhao Tong 001; Xin Deng; Yuanyang Zhang; Jing Mei; Can Wang; Keqin Li 001 (J. Syst. Archit., 2025)

Stackelberg Game-Based Pricing and Offloading for the DVFS-Enabled MEC Systems. - Jing Mei; Cuibin Zeng; Zhao Tong 001; Zhibang Yang; Keqin Li 001 (IEEE Trans. Netw. Serv. Manag., 2025)