99 citations · 200 across the 30 of their papers we have counts for
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cs.LG2020★ 3 cited
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li, Danhao Ding, Ben Kao +2
A heterogeneous information network (HIN) has as vertices objects of different types and as edges the relations between objects, which are also of various types. We study the probl…
cs.LG2020★ 10 cited
Fast and Secure Distributed Nonnegative Matrix Factorization
Yuqiu Qian, Conghui Tan, Danhao Ding +2
Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks. Recently, there is an increasing interest in the acceleration of NMF, due to its…
cs.LG2019★ 3 cited
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…