Meihui Zhang

Orcid: 0000-0002-0752-9877

Affiliations:
  • Beijing Institute of Technology, Department Computer Science of Technology, China
  • Singapore University of Technology and Design, Singapore (2014 - 2017)
  • National University of Singapore, Singapore (PhD 2013)
  • Harbin Institute of Technology, Information Countermeasure Technique Research Institute, China (former)


According to our database1, Meihui Zhang authored at least 112 papers between 2008 and 2024.

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Bibliography

2024
Managing Metaverse Data Tsunami: Actionable Insights.
IEEE Trans. Knowl. Data Eng., December, 2024

Front Matter.
Proc. VLDB Endow., August, 2024

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.
SIGMOD Rec., June, 2024

Front Matter.
Proc. VLDB Endow., June, 2024

RCBench: an RDMA-enabled transaction framework for analyzing concurrency control algorithms.
VLDB J., 2024

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database.
CoRR, 2024

NeurDB: An AI-powered Autonomous Data System.
CoRR, 2024

VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

DMRNet: Effective Network for Accurate Discharge Medication Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FC: Adaptive Atomic Commit via Failure Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LBSC: A Cost-Aware Caching Framework for Cloud Databases.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Applications and Challenges for Large Language Models: From Data Management Perspective.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Efficiently Supporting Multi-Level Serializability in Decentralized Database Systems.
IEEE Trans. Knowl. Data Eng., December, 2023

Knowledge-graph-enabled biomedical entity linking: a survey.
World Wide Web (WWW), September, 2023

Context-Aware Semantic Type Identification for Relational Attributes.
J. Comput. Sci. Technol., July, 2023

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec., June, 2023

A Survey on the Integration of Blockchains and Databases.
Data Sci. Eng., June, 2023

A Survey on Deep Reinforcement Learning for Data Processing and Analytics.
IEEE Trans. Knowl. Data Eng., May, 2023

VeriBench: Analyzing the Performance of Database Systems with Verifiability.
Proc. VLDB Endow., 2023

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency.
Proc. VLDB Endow., 2023

MINT: Detecting Fraudulent Behaviors from Time-series Relational Data.
Proc. VLDB Endow., 2023

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow., 2023

FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data.
Proc. ACM Manag. Data, 2023

FLAC: Practical Failure-Aware Atomic Commit Protocol for Distributed Transactions.
CoRR, 2023

Pay "Attention" to Chart Images for What You Read on Text.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

The Metaverse Data Deluge: What Can We Do About It?
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Co-Training for Cross-Modality Medical Image Segmentation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec., 2022

DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics.
Proc. VLDB Endow., 2022

LEDGERBENCH: A Framework for Benchmarking Ledger Databases.
IEEE Data Eng. Bull., 2022

GlassDB: Practical Verifiable Ledger Database Through Transparency.
CoRR, 2022

Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective.
CoRR, 2022

Serverless Data Science - Are We There Yet? A Case Study of Model Serving.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

OpenTFV: An Open Domain Table-Based Fact Verification System.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander?
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Semantics Driven Embedding Learning for Effective Entity Alignment.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Two-Phase Approach for Recognizing Tables with Complex Structures.
Proceedings of the Database Systems for Advanced Applications, 2022

SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
LineageChain: a fine-grained, secure and efficient data provenance system for blockchains.
VLDB J., 2021

Improving Data Analytics with Fast and Adaptive Regularization.
IEEE Trans. Knowl. Data Eng., 2021

Serverless Model Serving for Data Science.
CoRR, 2021

Blockchains vs. Distributed Databases: Dichotomy and Fusion.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ARM-Net: Adaptive Relation Modeling Network for Structured Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Dynamic Coherence with Graph Attention Network for Biomedical Entity Linking.
Proceedings of the International Joint Conference on Neural Networks, 2021

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
The Disruptions of 5G on Data-Driven Technologies and Applications.
IEEE Trans. Knowl. Data Eng., 2020

Revealing Every Story of Data in Blockchain Systems.
SIGMOD Rec., 2020

Spitz: A Verifiable Database System.
Proc. VLDB Endow., 2020

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
CoRR, 2020

Analysis of Indexing Structures for Immutable Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

A Transactional Perspective on Execute-order-validate Blockchains.
Proceedings of the 2020 International Conference on Management of Data, 2020

Cool, a COhort OnLine analytical processing system.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems.
IEEE Trans. Knowl. Data Eng., 2019

Fine-Grained, Secure and Efficient Data Provenance for Blockchain.
Proc. VLDB Endow., 2019

5G: Agent for Further Digital Disruptive Transformations.
IEEE Data Eng. Bull., 2019

Blockchains and Distributed Databases: a Twin Study.
CoRR, 2019

Effective and Efficient Dropout for Deep Convolutional Neural Networks.
CoRR, 2019

2018
Crowd Database Systems.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Scaling distributed transaction processing and recovery based on dependency logging.
VLDB J., 2018

Untangling Blockchain: A Data Processing View of Blockchain Systems.
IEEE Trans. Knowl. Data Eng., 2018

Rafiki: Machine Learning as an Analytics Service System.
Proc. VLDB Endow., 2018

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications.
Proc. VLDB Endow., 2018

REGAL+: Reverse Engineering SPJA Queries.
Proc. VLDB Endow., 2018

Effective Temporal Dependence Discovery in Time Series Data.
Proc. VLDB Endow., 2018

Object-Level Representation Learning for Few-Shot Image Classification.
CoRR, 2018

PANDA: Facilitating Usable AI Development.
CoRR, 2018

Rafiki: Machine Learning as an Analytics Service System.
CoRR, 2018

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications.
CoRR, 2018

Fine-grained Concept Linking using Neural Networks in Healthcare.
Proceedings of the 2018 International Conference on Management of Data, 2018

Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Continuous Proximity Detection via Predictive Safe Region Construction.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

A Comprehensive Performance Evaluation of Modern In-Memory Indices.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Adaptive Lightweight Regularization Tool for Complex Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On the Design of Adaptive and Speculative Concurrency Control in Distributed Databases.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
MSQL: efficient similarity search in metric spaces using SQL.
VLDB J., 2017

Reverse Engineering Aggregation Queries.
Proc. VLDB Endow., 2017

Towards a Unified Graph Model for Supporting Data Management and Usable Machine Learning.
IEEE Data Eng. Bull., 2017

UStore: A Distributed Storage With Rich Semantics.
CoRR, 2017

Cross-Domain Image Retrieval with Attention Modeling.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2017

Big Healthcare Data Analytics: Challenges and Applications.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016
Deep Learning at Scale and at Ease.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Exploiting Single-Threaded Model in Multi-Core In-Memory Systems.
IEEE Trans. Knowl. Data Eng., 2016

Database Meets Deep Learning: Challenges and Opportunities.
SIGMOD Rec., 2016

2015
In-Memory Big Data Management and Processing: A Survey.
IEEE Trans. Knowl. Data Eng., 2015

CrowdOp: Query Optimization for Declarative Crowdsourcing Systems.
IEEE Trans. Knowl. Data Eng., 2015

DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems.
CoRR, 2015

SINGA: A Distributed Deep Learning Platform.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014
Contextual crowd intelligence.
SIGKDD Explor., 2014

GEMINI: An Integrative Healthcare Analytics System.
Proc. VLDB Endow., 2014

A hybrid machine-crowdsourcing system for matching web tables.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Reverse engineering complex join queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012
CDAS: A Crowdsourcing Data Analytics System.
Proc. VLDB Endow., 2012

Efficient Spatial Keyword Search in Trajectory Databases
CoRR, 2012

2011
Automatic discovery of attributes in relational databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

A cross-service travel engine for trip planning.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
On Multi-Column Foreign Key Discovery.
Proc. VLDB Endow., 2010

2009
Effectively Indexing Uncertain Moving Objects for Predictive Queries.
Proc. VLDB Endow., 2009

2008
A Face Image Database for Evaluating Out-of-Focus Blur.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

A Novel Facial Image Retrieval Algorithm Based on PLT-PCA.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008


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