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08/02/2023
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Entity Matching (EM), which aims to identify all entity pairs referring ...
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07/14/2023
C3: Zero-shot Text-to-SQL with ChatGPT
This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed...
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06/08/2023
Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Data play an increasingly important role in smart data analytics, which ...
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06/01/2023
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Bipartite graphs model relationships between two different sets of entit...
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04/28/2023
Knowledge-refined Denoising Network for Robust Recommendation
Knowledge graph (KG), which contains rich side information, becomes an e...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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04/03/2023
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
Top-k sparsification has recently been widely used to reduce the communi...
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02/13/2023
LDPTrace: Locally Differentially Private Trajectory Synthesis
Trajectory data has the potential to greatly benefit a wide-range of rea...
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07/11/2022
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Entity Matching (EM), which aims to identify whether two entity records ...
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05/20/2022
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Entity alignment (EA) aims at finding equivalent entities in different k...
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04/21/2022
Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks
Geo-social networks offer opportunities for the marketing and promotion ...
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04/14/2022
Self-Guided Learning to Denoise for Robust Recommendation
The ubiquity of implicit feedback makes them the default choice to build...
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04/11/2022
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Knowledge graph (KG) plays an increasingly important role to improve the...
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03/29/2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Multi-frame human pose estimation has long been a compelling and fundame...
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02/08/2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
A knowledge graph (KG) consists of a set of interconnected typed entitie...
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12/17/2021
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
Trajectory similarity computation has drawn massive attention, as it is ...
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12/08/2021
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
With the rapid increase of big data, distributed Machine Learning (ML) h...
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10/13/2021
An Efficient Source Model Selection Framework in Model Databases
With the explosive increase of big data, training a Machine Learning (ML...
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08/18/2021
CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration
Entity Resolution (ER) aims to identify whether two tuples refer to the ...
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08/11/2021
LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Entity alignment (EA) aims to find equivalent entities in different know...
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05/07/2020
Indexing Metric Spaces for Exact Similarity Search
With the continued digitalization of societal processes, we are seeing a...
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04/26/2020
CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
Sentiment classification is a fundamental task in content analysis. Alth...
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04/26/2020
KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
The quality assurance of the knowledge graph is a prerequisite for vario...
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03/14/2019