72 citations · 124 across the 17 of their papers we have counts for
16 papers
Graph Neural Networks for Databases: A Survey
Ziming Li, Youhuan Li, Yuyu Luo +2
Graph neural networks (GNNs) are powerful deep learning models for graph-structured data, demonstrating remarkable success across diverse domains. Recently, the database (DB) commu…
The Dawn of Natural Language to SQL: Are We Fully Ready?
Boyan Li, Yuyu Luo, Chengliang Chai +2
Translating users' natural language questions into SQL queries (i.e., NL2SQL) significantly lowers the barriers to accessing relational databases. The emergence of Large Language M…
HTAP Databases: A Survey
Chao Zhang, Guoliang Li, Jintao Zhang +2
Since Gartner coined the term, Hybrid Transactional and Analytical Processing (HTAP), numerous HTAP databases have been proposed to combine transactions with analytics in order to…
Integrated Sensing and Communication for Edge Inference with End-to-End Multi-View Fusion
Xibin Jin, Guoliang Li, Shuai Wang +3
Integrated sensing and communication (ISAC) is a promising solution to accelerate edge inference via the dual use of wireless signals. However, this paradigm needs to minimize the…
TablePuppet: A Generic Framework for Relational Federated Learning
Lijie Xu, Chulin Xie, Yiran Guo +6
Current federated learning (FL) approaches view decentralized training data as a single table, divided among participants either horizontally (by rows) or vertically (by columns).…
LLM-Enhanced Data Management
Xuanhe Zhou, Xinyang Zhao, Guoliang Li
Machine learning (ML) techniques for optimizing data management problems have been extensively studied and widely deployed in recent five years. However traditional ML methods have…