RUC DBMS Research Group
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Xiaoyong Du
最新
Testing Graph Database Systems with Graph-State Persistence Oracle
TDSQL: Tencent Distributed Database System
AeonG: An Efficient Built-in Temporal Support in Graph Databases
A Two-Phase Recall-and-Select Framework for Fast Model Selection
Lion: Minimizing Distributed Transactions through Adaptive Replica Provision
RCBench: an RDMA-enabled transaction framework for analyzing concurrency control algorithms
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation
Compressed Data Direct Computing for Databases
Context-Aware Semantic Type Identification for Relational Attributes
Efficiently Supporting Multi-Level Serializability in Decentralized Database Systems
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Efficient Anomaly Detection in Property Graphs
Efficient Distributed Transaction Processing in Heterogeneous Networks
Efficient Model Store and Reuse in an OLML Database System
T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs
Fine-Grained Multi-Query Stream Processing on Integrated Architectures
FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures
A lightweight and efficient temporal database management system in TDSQL
MSQL+: A Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems
MSQL+: A Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems
Fast Failure Recovery in Vertex-centric Distributed Graph Processing Systems
Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems
Efficient Time-interval Data Extraction in MVCC-based RDBMS
A SQL-Based Solution for Fast Graph Similarity Search
A Survey on Distributed Graph Processing Systems
Mining frequent subgraphs from tremendous amount of small graphs using MapReduce
MSQL: Efficient Similarity Search in Metric Spaces using SQL
Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics
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