20 citations · 43 across the 10 of their papers we have counts for
11 papers
TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
Keyang Chen, Mingxuan Jiang, Yongsheng Zhao +9
Money laundering poses severe risks to global financial systems, driving the widespread adoption of machine learning for transaction monitoring. However, progress remains stifled b…
UTune: Towards Uncertainty-Aware Online Index Tuning
Chenning Wu, Sifan Chen, Wentao Wu +4
There have been a flurry of recent proposals on learned benefit estimators for index tuning. Although these learned estimators show promising improvement over what-if query optimiz…
ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL
Yiwen Jiao, Tonghui Ren, Yuche Gao +4
Large Language Models (LLMs) have demonstrated remarkable progress in translating natural language to SQL, but a significant semantic gap persists between their general knowledge a…
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Antian Liang, Zhigang Zhao, Kai Zhang +6
With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available…
MLego: Interactive and Scalable Topic Exploration Through Model Reuse
Fei Ye, Jiapan Liu, Yinan Jing +3
With massive texts on social media, users and analysts often rely on topic modeling techniques to quickly extract key themes and gain insights. Traditional topic modeling technique…
Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data
Yanjun Lin, Kai Zhang, Zhenying He +2
Filtered approximate nearest neighbor search (FANNS), an extension of approximate nearest neighbor search (ANNS) that incorporates scalar filters, has been widely applied to constr…
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao, Zhenyi Chen, Zhenying He +3
Numerous real-world information networks form Heterogeneous Information Networks (HINs) with diverse objects and relations represented as nodes and edges in heterogeneous graphs. S…
CHASE: A Native Relational Database for Hybrid Queries on Structured and Unstructured Data
Rui Ma, Kai Zhang, Zhenying He +3
Querying both structured and unstructured data has become a new paradigm in data analytics and recommendation. With unstructured data, such as text and videos, are converted to hig…
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
Meng Chen, Kai Zhang, Zhenying He +2
Approximate Nearest Neighbor Search (ANNS) is a fundamental and critical component in many applications, including recommendation systems and large language model-based application…
PURPLE: Making a Large Language Model a Better SQL Writer
Tonghui Ren, Yuankai Fan, Zhenying He +7
Large Language Model (LLM) techniques play an increasingly important role in Natural Language to SQL (NL2SQL) translation. LLMs trained by extensive corpora have strong natural lan…
Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
Yuankai Fan, Zhenying He, Tonghui Ren +4
The Natural Language Interface to Databases (NLIDB) empowers non-technical users with database access through intuitive natural language (NL) interactions. Advanced approaches, uti…