activity
20132020
most citedBandit Samplers for Training Graph Neural Networks

22 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2020★ 22 cited

Bandit Samplers for Training Graph Neural Networks

Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang +4

Several sampling algorithms with variance reduction have been proposed for accelerating the training of Graph Convolution Networks (GCNs). However, due to the intractable computati…

cs.AI2019★ 2 cited

Belief dynamics extraction

Arun Kumar, Zhengwei Wu, Xaq Pitkow +1

Animal behavior is not driven simply by its current observations, but is strongly influenced by internal states. Estimating the structure of these internal states is crucial for un…

cs.LG2018★ 3 cited

Inverse Rational Control: Inferring What You Think from How You Forage

Zhengwei Wu, Paul Schrater, Xaq Pitkow

Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning. Inferring an agent's internal model is a…

cs.SI2016

Measuring Economic Activities of China with Mobile Big Data

Lei Dong, Sicong Chen, Yunsheng Cheng +3

Emerging trends in smartphones, online maps, social media, and the resulting geo-located data, provide opportunities to collect traces of people's socio-economical activities in a…

cs.AI2016★ 12 cited

Store Location Selection via Mining Search Query Logs of Baidu Maps

Mengwen Xu, Tianyi Wang, Zhengwei Wu +3

Choosing a good location when opening a new store is crucial for the future success of a business. Traditional methods include offline manual survey, which is very time consuming,…

cs.SI2013

Laplacian Spectral Properties of Graphs from Random Local Samples

Zhengwei Wu, Victor M. Preciado

The Laplacian eigenvalues of a network play an important role in the analysis of many structural and dynamical network problems. In this paper, we study the relationship between th…