activity
20212026
most citedWhy Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents

3 citations · 5 across the 16 of their papers we have counts for

collaborators

19 papers

cs.DB2026

DBRepro: Automated Database Synthesis via a Hybrid Constraint-Solving Approach for Reproducing Slow Queries

Zhaoyang Zhang, Shuang Liu, Dengfeng Xu +4

Slow queries frequently cause severe performance bottlenecks in database management systems. Diagnosing their root causes online risks exacerbating resource contention, while data…

cs.DB2026

DBcover: A White-box SQL Test Generation Framework for Coverage Improvement

Yankai Rong, Shuang Liu, Jinhao Dong +4

Relational Database Management Systems (RDBMSs) are the backbone of modern data-intensive applications, making reliability and robustness critical. However, achieving high coverage…

cs.DB2026

From Blind Search to Memory-Aware Evolution: Efficient DBMS Tuning via Collaborative Diagnosis and Utility-Aware Retrieval

Zhaoyan Hong, Yishen Sun, Xinyi Zhang +7

Modern DBMSs expose multiple configurable components (e.g., knobs, query hints, and indexes) that jointly determine query performance. Multi-component tuning is challenging due to…

cs.DB2026

TVA: A Version-aware Temporal Graph Storage System for Real-time Analytics

Wenhao Li, Zhanhao Zhao, Jinhao Dong +4

Analyzing temporal graphs can reveal valuable insights that are typically hidden in static graphs. Unfortunately, existing graph storage systems either lack native temporal support…

cs.DB2026★ 3 cited

Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents

Xinyi Zhang, Tiantian Chen, Zhentao Han +9

Modern database management systems (DBMSs) expose hundreds of configuration knobs that critically influence performance. Existing automated tuning methods either adopt a data-drive…

cs.DB2025

Performant Synchronization in Geo-Distributed Databases

Duling Xu, Tong Li, Zegang Sun +5

The deployment of databases across geographically distributed regions has become increasingly critical for ensuring data reliability and scalability. Recent studies indicate that d…

cs.DB2025

Anomaly Pattern-guided Transaction Bug Testing in Relational Databases

Huicong Xu, Shuang Liu, Xianyu Zhu +3

Concurrent transaction processing is a fundamental capability of Relational Database Management Systems (RDBMSs), widely utilized in applications requiring high levels of parallel…

cs.SE2025

Testing Question Answering Software with Context-Driven Question Generation

Shuang Liu, Zhirun Zhang, Jinhao Dong +5

Question-answering software is becoming increasingly integrated into our daily lives, with prominent examples including Apple Siri and Amazon Alexa. Ensuring the quality of such sy…

cs.CL2025

Investigating the Impact of Rationales for LLMs on Natural Language Understanding

Wenhang Shi, Shuqing Bian, Yiren Chen +5

Chain-of-thought (CoT) rationales, which provide step-by-step reasoning to derive final answers, benefit LLMs in both inference and training. Incorporating rationales, either by ge…

cs.CL2025

No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization

Wenhang Shi, Yiren Chen, Shuqing Bian +6

Prompt engineering is crucial for leveraging the full potential of large language models (LLMs). While automatic prompt optimization offers a scalable alternative to costly manual…

cs.DB2025

TXSQL: Lock Optimizations Towards High Contented Workloads (Extended Version)

Donghui Wang, Yuxing Chen, Chengyao Jiang +10

Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concurrent access to database data by following a specific sequence of acquiring…

cs.DB2025

TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection

Qiyu Zhuang, Wei Lu, Shuang Liu +6

Achieving the serializable isolation level, regarded as the gold standard for transaction processing, is costly. Recent studies reveal that adjusting specific query patterns within…

cs.CL2024

Joint Knowledge Editing for Information Enrichment and Probability Promotion

Wenhang Shi, Yiren Chen, Shuqing Bian +5

Knowledge stored in large language models requires timely updates to reflect the dynamic nature of real-world information. To update the knowledge, most knowledge editing methods f…

cs.DB2024

GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version)

Qiyu Zhuang, Xinyue Shi, Shuang Liu +6

The widespread adoption of database middleware for supporting distributed transaction processing is prevalent in numerous applications, with heterogeneous data sources deployed acr…

cs.DB2024

Conformance Testing of Relational DBMS Against SQL Specifications

Shuang Liu, Chenglin Tian, Jun Sun +6

A Relational Database Management System (RDBMS) is one of the fundamental software that supports a wide range of applications, making it critical to identify bugs within these syst…

cs.LG2024

A Two-Phase Recall-and-Select Framework for Fast Model Selection

Jianwei Cui, Wenhang Shi, Honglin Tao +2

As the ubiquity of deep learning in various machine learning applications has amplified, a proliferation of neural network models has been trained and shared on public model reposi…

cs.DC2024

Lion: Minimizing Distributed Transactions through Adaptive Replica Provision (Extended Version)

Qiushi Zheng, Zhanhao Zhao, Wei Lu +4

Distributed transaction processing often involves multiple rounds of cross-node communications, and therefore tends to be slow. To improve performance, existing approaches convert…

cs.DB2023★ 1 cited

AeonG: An Efficient Built-in Temporal Support in Graph Databases

Jiamin Hou, Zhanhao Zhao, Zhouyu Wang +4

Real world graphs are often dynamic and evolve over time. It is crucial for storing and querying graph evolution in graph databases. However, existing works either suffer from high…

cs.DB2021★ 1 cited

Systematic definition and classification of data anomalies in DBMS (English Version)

Li Hai-Xiang, Li Xiao-Yan, Liu Chang +3

There is no unified definition of Data anomalies, which refers to the specific data operation mode that may violate the consistency of the database. Known data anomalies include Di…