50 citations · 51 across the 11 of their papers we have counts for
13 papers
Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents
Jiale Lao, Immanuel Trummer
Traditional query processing engines require continuous development and extensions to support new techniques and user requirements, and in some cases, entirely new systems must be…
sketch-plot: Progressive Editing for Text-to-Image Academic Figures
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3
Text to image (T2I) models such as gpt-image-2 can now generate publication grade academic figures from a short prompt, but the output is a flat raster: a user who wants to change…
Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +3
Large language models can translate a researcher's intent into runnable matplotlib code, yet the resulting chart rarely lands in a paper without multiple rounds of manual revision.…
Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects
Hanxi Li, Jianan Zhou, Jiale Lao +5
Vector databases serve as the retrieval backbone of modern AI applications, yet their security remains largely unexplored. We propose the Black-Hole Attack, a poisoning attack that…
ViviDoc: Generating Interactive Documents through Human-Agent Collaboration
Yinghao Tang, Yupeng Xie, Yingchaojie Feng +4
Interactive documents help readers engage with complex ideas through dynamic visualization, interactive animations, and exploratory interfaces. However, creating such documents rem…
WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
Yibo Wang, Jiale Lao, Chen Zhang +3
Selecting appropriate values for the configurable parameters of Database Management Systems (DBMS) to improve performance is a significant challenge. Recent machine learning (ML)-b…
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
Jiale Lao, Immanuel Trummer
Traditional query processing relies on engines that are carefully optimized and engineered by many experts. However, new techniques and user requirements evolve rapidly, and existi…
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
Yinghao Tang, Xueding Liu, Boyuan Zhang +13
Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) mod…
SemBench: A Benchmark for Semantic Query Processing Engines
Jiale Lao, Andreas Zimmerer, Olga Ovcharenko +12
We present a benchmark targeting a novel class of systems: semantic query processing engines. Those systems rely inherently on generative and reasoning capabilities of state-of-the…
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
Jiale Lao, Immanuel Trummer
Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy con…
QUITE: A Query Rewrite System Beyond Rules with LLM Agents
Yuyang Song, Hanxu Yan, Jiale Lao +5
Query rewrite transforms SQL queries into semantically equivalent forms that run more efficiently. Existing approaches mainly rely on predefined rewrite rules, but they handle a li…
Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
Meiyu Lin, Haichuan Zhang, Jiale Lao +5
Large language models (LLMs) have shown state-of-the-art results in translating natural language questions into SQL queries (Text-to-SQL), a long-standing challenge within the data…
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization
Jiale Lao, Yibo Wang, Yufei Li +6
Modern database management systems (DBMS) expose hundreds of configurable knobs to control system behaviours. Determining the appropriate values for these knobs to improve DBMS per…