Search Results for author: Bingyu Wang

Found 4 papers, 1 papers with code

Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China

no code implementations22 Oct 2020 Xun Liang, Qingfeng Guan, Keith C. Clarke, Shishi Liu, Bingyu Wang, Yao Yao

The change complexity lies in the detailed scale of high granularity data, and in the geometric units used to simulate the change.

Computers and Society

Ranking-Based Autoencoder for Extreme Multi-label Classification

no code implementations NAACL 2019 Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou

Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions.

Extreme Multi-Label Classification Feature Importance +2

Regularizing Model Complexity and Label Structure for Multi-Label Text Classification

1 code implementation1 May 2017 Bingyu Wang, Cheng Li, Virgil Pavlu, Javed Aslam

Multi-label text classifiers need to be carefully regularized to prevent the severe over-fitting in the high dimensional space, and also need to take into account label dependencies in order to make accurate predictions under uncertainty.

General Classification Multi-Label Text Classification

Ideology Detection for Twitter Users with Heterogeneous Types of Links

no code implementations24 Dec 2016 Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang

The problem of ideology detection is to study the latent (political) placement for people, which is traditionally studied on politicians according to their voting behaviors.

Social and Information Networks

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