110 citations · 512 across the 28 of their papers we have counts for
28 papers
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…
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Xinwei Cai, Xiangyu Ke, Kai Wang +4
Bipartite graphs characterize relationships between two different sets of entities, like actor-movie, user-item, and author-paper. The butterfly, a 4-vertices 4-edges (2,2)-bicliqu…
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…
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
Danlei Hu, Ziquan Fang, Hanxi Fang +4
Transportation mode classification, the process of predicting the class labels of moving objects transportation modes, has been widely applied to a variety of real world applicatio…
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Pengfei Wang, Xiaocan Zeng, Lu Chen +4
Entity Matching (EM), which aims to identify whether two entity records from two relational tables refer to the same real-world entity, is one of the fundamental problems in data m…
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Yunjun Gao, Xiaoze Liu, Junyang Wu +3
Entity alignment (EA) aims at finding equivalent entities in different knowledge graphs (KGs). Embedding-based approaches have dominated the EA task in recent years. Those methods…
Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao, Yuntao Du, Yujia Hu +4
The ubiquity of implicit feedback makes them the default choice to build modern recommender systems. Generally speaking, observed interactions are considered as positive samples, w…
Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks
Pengfei Jin, Lu Chen, Yunjun Gao +3
Geo-social networks offer opportunities for the marketing and promotion of geo-located services. In this setting, we explore a new problem, called Maximizing the Influence of Bichr…
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen +2
Knowledge graph (KG) plays an increasingly important role to improve the recommendation performance and interpretability. A recent technical trend is to design end-to-end models ba…
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen +2
A knowledge graph (KG) consists of a set of interconnected typed entities and their attributes. Recently, KGs are popularly used as the auxiliary information to enable more accurat…
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
Keyu Yang, Lu Chen, Zhihao Zeng +1
With the rapid increase of big data, distributed Machine Learning (ML) has been widely applied in training large-scale models. Stochastic Gradient Descent (SGD) is arguably the wor…
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
Ziquan Fang, Yuntao Du, Xinjun Zhu +3
Trajectory similarity computation has drawn massive attention, as it is core functionality in a wide range of applications such as ride-sharing, traffic analysis, and social recomm…
Finding Materialized Models for Model Reuse
Minjun Zhao, Lu Chen, Keyu Yang +2
Materialized model query aims to find the most appropriate materialized model as the initial model for model reuse. It is the precondition of model reuse, and has recently attracte…
CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration
Congcong Ge, Pengfei Wang, Lu Chen +3
Entity Resolution (ER) aims to identify whether two tuples refer to the same real-world entity and is well-known to be labor-intensive. It is a prerequisite to anomaly detection, a…
LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Congcong Ge, Xiaoze Liu, Lu Chen +2
Entity alignment (EA) aims to find equivalent entities in different knowledge graphs (KGs). Current EA approaches suffer from scalability issues, limiting their usage in real-world…