Ming Sheng

46 papers C 13Misc 9Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation.
CoRR
David Osei Opoku, Ming Sheng, Yong Zhang
2025 J jnl
MQRLD: A multimodal data retrieval platform with query-aware feature representation and learned index based on data lake.
Inf. Process. Manag.
Ming Sheng, Shuliang Wang, Yong Zhang, Kaige Wang, Jingyi Wang, Yi Luo, Rui Hao
2025 J jnl
UREM: A High-performance Unified and Resilient Enhancement Method for Multi- and High-Dimensional Indexes.
CoRR
Ming Sheng, Shuliang Wang, Yong Zhang, Yi Luo, Xianbo Liu, Zeming Li
2024 J jnl
A multi-source heterogeneous medical data enhancement framework based on lakehouse.
Health Inf. Sci. Syst.
Ming Sheng, Shuliang Wang, Yong Zhang, Rui Hao, Ye Liang, Yi Luo, Wenhan Yang, Jincheng Wang, Yinan Li, Wenkui Zheng, Wenyao Li
2024 C conf
LTGAN: Multi-label Time-Series GAN with Constraints for Electronic Health Records Generation.
HIS
Yi Luo, Ming Sheng, Xianbo Liu, Kaiyuan Wang, Yong Zhang, Huiying Zhao
2024 J jnl
MQRLD: A Multimodal Data Retrieval Platform with Query-aware Feature Representation and Learned Index Based on Data Lake.
CoRR
Ming Sheng, Shuliang Wang, Yong Zhang, Kaige Wang, Jingyi Wang, Yi Luo, Rui Hao
2023 C conf
Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.
HIS
Rui Hao, Ming Sheng, Yong Zhang, Huiying Zhao, Chenxiao Hao, Wenyao Li, Luoxi Wang, Chao Li
2022 C conf
A Hybrid Medical Causal Inference Platform Based on Data Lake.
HIS
Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu, Xia Wang, Ruoyu Wang, Ming Sheng
2022 J jnl
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration.
Health Inf. Sci. Syst.
Yong Zhang, Ming Sheng, Xingyue Liu, Ruoyu Wang, Weihang Lin, Peng Ren, Xia Wang, Enlai Zhao, Wenchao Song
2022 C conf
An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series.
HIS
Peng Ren, Zhiyuan Tian, Zeyu Wang, Xin Li, Xia Wang, Tao Zhao, Ming Sheng
2022 C conf
HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse.
HIS
Qin Cui, Wenkui Zheng, Wei Hou, Ming Sheng, Peng Ren, Wang Chang, Xiangyang Li
2022 C conf
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space.
HIS
Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng
2022 J jnl
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space.
CoRR
Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng
2022 C conf
MHDML: Construction of a Medical Lakehouse for Multi-source Heterogeneous Data.
HIS
Qi Xiao, Wenkui Zheng, Chenyu Mao, Wei Hou, Hao Lan, Daojun Han, Yang Duan, Peng Ren, Ming Sheng
2022 C conf
Medical Knowledge Graph Construction Based on Traceable Conversion.
HIS
Wei Hou, Wenkui Zheng, Ming Sheng, Peng Ren, Baifu Zuo, Zhentao Hu, Xianxing Liu, Yang Duan
2021 C conf
HMDFF: A Heterogeneous Medical Data Fusion Framework Supporting Multimodal Query.
HIS
Peng Ren, Weihang Lin, Ye Liang, Ruoyu Wang, Xingyue Liu, Baifu Zuo, Tan Chen, Xin Li, Ming Sheng, Yong Zhang
2021 Misc conf
Intelligent Visualization System for Big Multi-source Medical Data Based on Data Lake.
WISA
Peng Ren, Ziyun Mao, Shuaibo Li, Yang Xiao, Yating Ke, Lanyu Yao, Hao Lan, Xin Li, Ming Sheng, Yong Zhang
2021 Misc conf
MHDP: An Efficient Data Lake Platform for Medical Multi-source Heterogeneous Data.
WISA
Peng Ren, Shuaibo Li, Wei Hou, Wenkui Zheng, Zhen Li, Qin Cui, Wang Chang, Xin Li, Chun Zeng, Ming Sheng, Yong Zhang
2021 C conf
MKGB: A Medical Knowledge Graph Construction Framework Based on Data Lake and Active Learning.
HIS
Peng Ren, Wei Hou, Ming Sheng, Xin Li, Chao Li, Yong Zhang
2020 C conf
AHIAP: An Agile Medical Named Entity Recognition and Relation Extraction Framework Based on Active Learning.
HIS
Ming Sheng, Jing Dong, Yong Zhang, Yuelin Bu, Anqi Li, Weihang Lin, Xin Li, Chunxiao Xing
2020 Misc conf
An Experimental Study of Time Series Based Patient Similarity with Graphs.
WISA
Kalkidan Fekadu Eteffa, Samuel Ansong, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
2020 Misc conf
DSQA: A Domain Specific QA System for Smart Health Based on Knowledge Graph.
WISA
Ming Sheng, Anqi Li, Yuelin Bu, Jing Dong, Yong Zhang, Xin Li, Chao Li, Chunxiao Xing
2020 J jnl
HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians' Expertise Incorporated.
Inf. Process. Manag.
Yong Zhang, Ming Sheng, Rui Zhou, Ye Wang, Guangjie Han, Han Zhang, Chunxiao Xing, Jing Dong
2020 Misc conf
Hospitalization Cost Prediction for Cardiovascular Disease by Effective Feature Selection.
WISA
Wei Dai, Mengxing Huang, Qian Wu, Hanzhi Cai, Ming Sheng, Xin Li
2020 J jnl
RSMOTE: improving classification performance over imbalanced medical datasets.
Health Inf. Sci. Syst.
Mehdi Naseriparsa, Ahmed Al-Shammari, Ming Sheng, Yong Zhang, Rui Zhou
2020 — conf
Smarter Smart Contracts: Efficient Consent Management in Health Data Sharing.
APWeb/WAIM (2)
Mira Shah, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
2019 Misc conf
Application of Patient Similarity in Smart Health: A Case Study in Medical Education.
WISA
Kalkidan Fekadu Eteffa, Samuel Ansong, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
2019 Misc conf
CLMed: A Cross-lingual Knowledge Graph Framework for Cardiovascular Diseases.
WISA
Ming Sheng, Han Zhang, Yong Zhang, Chao Li, Chunxiao Xing, Jingwen Wang, Yuyao Shao, Fei Gao
2019 — conf
CrowdMed: A Blockchain-Based Approach to Consent Management for Health Data Sharing.
ICSH
Mira Shah, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
2019 — conf
DEKGB: An Extensible Framework for Health Knowledge Graph.
ICSH
Ming Sheng, Yuyao Shao, Yong Zhang, Chao Li, Chunxiao Xing, Han Zhang, Jingwen Wang, Fei Gao
2019 C conf
DocKG: A Knowledge Graph Framework for Health with Doctor-in-the-Loop.
HIS
Ming Sheng, Jingwen Wang, Yong Zhang, Xin Li, Chao Li, Chunxiao Xing, Qiang Li, Yuyao Shao, Han Zhang
2019 Misc conf
How to Empower Disease Diagnosis in a Medical Education System Using Knowledge Graph.
WISA
Samuel Ansong, Kalkidan Fekadu Eteffa, Chao Li, Ming Sheng, Yong Zhang, Chunxiao Xing
2018 C conf
A Data-Intensive CDSS Platform Based on Knowledge Graph.
HIS
Ming Sheng, Qingcheng Hu, Yong Zhang, Chunxiao Xing, Tingting Zhang
2017 — conf
A Knowledge-Based Health Question Answering System.
ICSH
Hongxia Liu, Qingcheng Hu, Yong Zhang, Chunxiao Xing, Ming Sheng
2016 — conf
A Networked and Intelligent Regional Collaborative Treatment System for AMI.
ICSH
Ming Sheng, Jianwei Liu, Hongxia Liu, Yong Zhang, Chunxiao Xing, Yinan Li
2015 — conf
Fihuo: A Moblie Smart Health Service Platform.
IEEE WISA
Ming Sheng, Yong Zhang, Jigang Yang, Chao Li, Chunxiao Xing
2012 — conf
BER performance of free-space optical communication in strong turbulence with pointing errors.
WCSP
Ling-Ling Cao, Ming Sheng, Min Feng, Xiu-Xiu Xie
2012 J jnl
Comments on 'BER Performance of FSO Links over Strong Atmospheric Turbulence Channels with Pointing Errors'.
IEEE Commun. Lett.
Jun-Bo Wang, Ming Sheng, Xiaoyu Song, Yuan Jiao, Ming Chen
2011 — conf
MAP equalization in indoor visible light communication.
WCSP
Xiu-Xiu Xie, Jun-Bo Wang, Xiaoyu Dang, Ling-Ling Cao, Ming Sheng, Min Feng
2011 — conf
Outage performance for parallel relay-assisted free-space optical communications in strong turbulence with pointing errors.
WCSP
Min Feng, Jun-Bo Wang, Ming Sheng, Ling-Ling Cao, Xiu-Xiu Xie, Ming Chen
2011 J jnl
System outage probability analysis in uplink multi-hop cellular systems over composite channels.
EURASIP J. Wirel. Commun. Netw.
Xibin Zhao, Jun-Bo Wang, Jin-Yuan Wang, Ming Chen, Min Feng, Ming Sheng
2010 — conf
An Approach of Iris Recognition Based on Partical Swarm Optimization.
FCST
Fuyou Han, Jinsong Li, Miao Qi, Ming Sheng
2008 Misc conf
A self-directed learning approach to signal processing education.
ICASSP
Eliathamby Ambikairajah, Julien Epps, Samuel J. Freney, Ming Sheng
2007 J jnl
Tablet PC and Electronic Whiteboard Use in Signal Processing Education [DSP Education].
IEEE Signal Process. Mag.
Eliathamby Ambikairajah, Julien Epps, Ming Sheng, Branko G. Celler
2005 — conf
Experiences with an electronic whiteboard teaching laboratory and tablet PC based lecture presentations [DSP courses].
ICASSP (5)
Eliathamby Ambikairajah, Julien Epps, Ming Sheng, Branko G. Celler, Peter Chen
2003 — conf
Evaluation of a virtual teaching laboratory for signal processing education.
ICASSP (3)
Eliathamby Ambikairajah, Julien Epps, Ming Sheng, Branko G. Celler