89 citations · 226 across the 13 of their papers we have counts for
13 papers
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
Weixing Zhou, Qi Peng, Zijie Zhang +11
Multinational enterprises conduct global business that has a demand for geo-distributed transactional databases. Existing state-of-the-art databases adopt a sharded master-follower…
Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Shixun Huang, Zhifeng Bao, Guoliang Li +2
Network embedding is an effective method to learn low-dimensional representations of nodes, which can be applied to various real-life applications such as visualization, node class…
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen, Qun Chen, Boyi Hou +3
Machine-learning-based entity resolution has been widely studied. However, some entity pairs may be mislabeled by machine learning models and existing studies do not study the risk…
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
Caihua Shan, Nikos Mamoulis, Reynold Cheng +3
In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms. Previous works…
An End-to-End Learning-based Cost Estimator
Ji Sun, Guoliang Li
Cost and cardinality estimation is vital to query optimizer, which can guide the plan selection. However traditional empirical cost and cardinality estimation techniques cannot pro…
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Kevin Hu, Neil Gaikwad, Michiel Bakker +7
Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the charact…
Trajectory-driven Influential Billboard Placement
Ping Zhang, Zhifeng Bao, Yuchen Li +3
In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards (each with a location and a cost), a database of…
T-Crowd: Effective Crowdsourcing for Tabular Data
Caihua Shan, Nikos Mamoulis, Guoliang Li +3
Crowdsourcing employs human workers to solve computer-hard problems, such as data cleaning, entity resolution, and sentiment analysis. When crowdsourcing tabular data, e.g., the at…
NXgraph: An Efficient Graph Processing System on a Single Machine
Yuze Chi, Guohao Dai, Yu Wang +3
Recent studies show that graph processing systems on a single machine can achieve competitive performance compared with cluster-based graph processing systems. In this paper, we pr…
The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution
Jiannan Wang, Guoliang Li, Tim Kraska +2
In the SIGMOD 2013 conference, we published a paper extending our earlier work on crowdsourced entity resolution to improve crowdsourced join processing by exploiting transitive re…
Leveraging Transitive Relations for Crowdsourced Joins
Jiannan Wang, Guoliang Li, Tim Kraska +2
The development of crowdsourced query processing systems has recently attracted a significant attention in the database community. A variety of crowdsourced queries have been inves…
SEAL: Spatio-Textual Similarity Search
Ju Fan, Guoliang Li, Lizhu Zhou +2
Location-based services (LBS) have become more and more ubiquitous recently. Existing methods focus on finding relevant points-of-interest (POIs) based on users' locations and quer…
PASS-JOIN: A Partition-based Method for Similarity Joins
Guoliang Li, Dong Deng, Jiannan Wang +1
As an essential operation in data cleaning, the similarity join has attracted considerable attention from the database community. In this paper, we study string similarity joins wi…