110 citations · 512 across the 28 of their papers we have counts for
5 papers · 1 filter
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…