1 citations · 2 across the 13 of their papers we have counts for
13 papers
ForeSight: A Predictive-Scheduling Deterministic Database
Junfang Huang, Yu Yan, Hongzhi Wang +2
Deterministic databases enable scalable replicated systems by executing transactions in a predetermined order. However, existing designs fail to capture transaction dependencies, l…
SAM: A Stability-Aware Cache Manager for Multi-Tenant Embedded Databases
Haoran Zhang, Decheng Zuo, Yu Yan +2
The co-location of multiple database instances on resource constrained edge nodes creates significant cache contention, where traditional schemes are inefficient and unstable under…
DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
Kaixin Zhang, Hongzhi Wang, Ziqi Li +4
Research on learned cardinality estimation has made significant progress in recent years. However, existing methods still face distinct challenges that hinder their practical deplo…
CONCERTO: Complex Query Execution Mechanism-Aware Learned Cost Estimation
Kaixin Zhang, Hongzhi Wang, Kunkai Gu +4
With the growing demand for massive data analysis, many DBMSs have adopted complex underlying query execution mechanisms, including vectorized operators, parallel execution, and dy…
EMIT: Micro-Invasive Database Configuration Tuning
Jian Geng, Hongzhi Wang, Yu Yan
The process of database knob tuning has always been a challenging task. Recently, database knob tuning methods has emerged as a promising solution to mitigate these issues. However…
QCFE: An efficient Feature engineering for query cost estimation
Yu Yan, Hongzhi Wang, Junfang Huang +5
Query cost estimation is a classical task for database management. Recently, researchers apply the AI-driven model to implement query cost estimation for achieving high accuracy. H…
IWEK: An Interpretable What-If Estimator for Database Knobs
Yu Yan, Hongzhi Wang, Jian Geng +5
The knobs of modern database management systems have significant impact on the performance of the systems. With the development of cloud databases, an estimation service for knobs…
Duet: efficient and scalable hybriD neUral rElation undersTanding
Kaixin Zhang, Hongzhi Wang, Yabin Lu +4
Learned cardinality estimation methods have achieved high precision compared to traditional methods. Among learned methods, query-driven approaches have faced the workload drift pr…
AAE: An Active Auto-Estimator for Improving Graph Storage
Yu Yan, Man Yang, Hongzhi Wang +1
Nowadays, graph becomes an increasingly popular model in many real applications. The efficiency of graph storage is crucial for these applications. Generally speaking, the tune tas…
Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database
Yu Yan, Hongzhi Wang, Jian Ma +2
Recent years, the database committee has attempted to develop automatic database management systems. Although some researches show that the applying AI to data management is a sign…
Multi-SQL: An extensible multi-model data query language
Yu Yan, Nan Jiang, Hongzhi Wang +3
Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architectu…
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
Yusi Zhang, Chuanjie Liu, Angen Luo +6
We study the problem of deep recall model in industrial web search, which is, given a user query, retrieve hundreds of most relevance documents from billions of candidates. The com…
Index Selection for NoSQL Database with Deep Reinforcement Learning
Shun Yao, Hongzhi Wang, Yu Yan
We propose a new approach of NoSQL database index selection. For different workloads, we select different indexes and their different parameters to optimize the database performanc…