2 citations · 2 across the 9 of their papers we have counts for
11 papers
Agentic Evolution of SQL Test Generators
Suyang Zhong, Manuel Rigger
Automated testing has uncovered many logic bugs in Database Management Systems (DBMSs). Existing tools are typically limited to a few SQL dialects and a subset of these dialects' f…
FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review
Suyang Zhong, Jingzhe Zhu, Qi Xu +5
Deploying large language models for professional financial review requires more than measuring general financial competence: models must perform the specific review operation requi…
Uni-XAS: Alignment-Driven Bidirectional Multimodal Learning for X-ray Absorption Spectroscopy
Suyang Zhong, Yuhao Zhao, Boying Huang +6
X-ray absorption spectroscopy (XAS) is a key technique for probing local atomic environments, yet learning based modeling must bridge two heterogeneous modalities: 1D continuous sp…
Ai2-Kit: Streamlining AI-Accelerated Ab Initio Workflows for Complex Chemical Systems
Sheng Bi, Wei-Hong Xu, Yong-Bin Zhuang +47
Molecular simulations of complex chemical systems, such as catalysis, electrochemistry, and energy storage, often need to capture the interplay of effects such as electronic struct…
SpecVQA: A Benchmark for Spectral Understanding and Visual Question Answering in Scientific Images
Jialu Shen, Han Lyu, Suyang Zhong +5
Spectra are a prevalent yet highly information-dense form of scientific imagery, presenting substantial challenges to multimodal large language models (MLLMs) due to their unstruct…
Solving the inverse problem of X-ray absorption spectroscopy via physics-informed deep learning
Suyang Zhong, Boying Huang, Pengwei Xu +6
Resolving transient atomic configurations in non-crystalline or dynamic environments remains a fundamental bottleneck in the physical sciences. While X-ray absorption spectroscopy…
Uni-Parser Technical Report
Xi Fang, Haoyi Tao, Shuwen Yang +8
This technical report introduces Uni-Parser, an industrial-grade document parsing engine tailored for scientific literature and patents, delivering high throughput, robust accuracy…
Automated Discovery of Test Oracles for Database Management Systems Using LLMs
Qiuyang Mang, Runyuan He, Suyang Zhong +3
Since 2020, automated testing for Database Management Systems (DBMSs) has flourished, uncovering hundreds of bugs in widely-used systems. A cornerstone of these techniques is test…
Automated Database Testing via LLM-Synthesized SQL Features
Suyang Zhong, Manuel Rigger
Database Management Systems (DBMSs) have been tested by various automated testing approaches. Many of them generate pairs of equivalent queries to identify bugs that cause DBMSs to…
Scaling Automated Database System Testing
Suyang Zhong, Manuel Rigger
Recently, various automated testing approaches have been proposed that use specialized test oracles to find hundreds of logic bugs in mature, widely-used Database Management System…
Understanding and Reusing Test Suites Across Database Systems
Suyang Zhong, Manuel Rigger
Database Management System (DBMS) developers have implemented extensive test suites to test their DBMSs. For example, the SQLite test suites contain over 92 million lines of code.…