Reynold Cheng | DeepAI

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∙ 06/21/2023

Towards Mobility Data Science (Vision Paper)

Mobility data captures the locations of moving objects such as humans, a...

0 Mohamed Mokbel, et al. ∙

∙ 12/23/2021

Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks

Heterogeneous Information Networks (HINs) capture complex relations amon...

0 Wentao Ning, et al. ∙

∙ 11/04/2019

A General Early-Stopping Module for Crowdsourced Ranking

Crowdsourcing can be used to determine a total order for an object set (...

0 Caihua Shan, et al. ∙

∙ 11/04/2019

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

In this paper, we propose a Deep Reinforcement Learning (RL) framework f...

22 Caihua Shan, et al. ∙

∙ 06/02/2019

Efficient Algorithms for Densest Subgraph Discovery

Densest subgraph discovery (DSD) is a fundamental problem in graph minin...

0 Yixiang Fang, et al. ∙

∙ 04/29/2019

A Survey of Community Search Over Big Graphs

With the rapid development of information technologies, various big grap...

0 Yixiang Fang, et al. ∙

∙ 02/26/2019

Detecting Data Errors with Statistical Constraints

A powerful approach to detecting erroneous data is to check which potent...

0 Jing Nathan Yan, et al. ∙

∙ 01/16/2019

Exploring Communities in Large Profiled Graphs

Given a graph G and a vertex q∈ G, the community search (CS) problem aim...

0 Yankai Chen, et al. ∙

∙ 08/07/2017

T-Crowd: Effective Crowdsourcing for Tabular Data

Crowdsourcing employs human workers to solve computer-hard problems, suc...

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