110 citations · 489 across the 29 of their papers we have counts for
11 papers · 1 filter
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Xiaocan Zeng, Pengfei Wang, Yuren Mao +3
Entity Matching (EM), which aims to identify all entity pairs referring to the same real-world entity from relational tables, is one of the most important tasks in real-world data…
C3: Zero-shot Text-to-SQL with ChatGPT
Xuemei Dong, Chao Zhang, Yuhang Ge +5
This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed C3, which achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and becomes the…
Real-time Workload Pattern Analysis for Large-scale Cloud Databases
Jiaqi Wang, Tianyi Li, Anni Wang +7
Hosting database services on cloud systems has become a common practice. This has led to the increasing volume of database workloads, which provides the opportunity for pattern ana…
Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Xiaoye Miao, Huanhuan Peng, Xinyu Huang +3
Data play an increasingly important role in smart data analytics, which facilitate many data-driven applications. The goal of various data markets aims to alleviate the issue of is…
Knowledge-refined Denoising Network for Robust Recommendation
Xinjun Zhu, Yuntao Du, Yuren Mao +3
Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability. However, existing know…
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao +5
Collaborative Filtering (CF) is a widely used and effective technique for recommender systems. In recent decades, there have been significant advancements in latent embedding-based…
SEA: A Scalable Entity Alignment System
Junyang Wu, Tianyi Li, Lu Chen +2
Entity alignment (EA) aims to find equivalent entities in different knowledge graphs (KGs). State-of-the-art EA approaches generally use Graph Neural Networks (GNNs) to encode enti…
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
Minjun Zhao, Yichen Yin, Yuren Mao +3
Top-k sparsification has recently been widely used to reduce the communication volume in distributed deep learning. However, due to the Sparse Gradient Accumulation (SGA) dilemma,…
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Danlei Hu, Lu Chen, Hanxi Fang +3
Spatio-temporal trajectory analytics is at the core of smart mobility solutions, which offers unprecedented information for diversified applications such as urban planning, infrast…
Unsupervised Entity Alignment for Temporal Knowledge Graphs
Xiaoze Liu, Junyang Wu, Tianyi Li +2
Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend t…
LDPTrace: Locally Differentially Private Trajectory Synthesis
Yuntao Du, Yujia Hu, Zhikun Zhang +4
Trajectory data has the potential to greatly benefit a wide-range of real-world applications, such as tracking the spread of the disease through people's movement patterns and prov…