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06/08/2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
As Transformer-based models have achieved impressive performance on vari...
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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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07/12/2022
Estimation of non-symmetric and unbounded region of attraction using shifted shape function and R-composition
A general numerical method using sum of squares programming is proposed ...
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02/27/2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
Distant supervision assumes that any sentence containing the same entity...
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09/20/2021
Interpolation variable rate image compression
Compression standards have been used to reduce the cost of image storage...
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08/24/2021
Image-based Insider Threat Detection via Geometric Transformation
Insider threat detection has been a challenging task over decades, exist...
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04/13/2021
Spatiotemporal Entropy Model is All You Need for Learned Video Compression
The framework of dominant learned video compression methods is usually c...
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11/01/2019
Prediction Modeling and Analysis for Telecom Customer Churn in Two Months
A practical churn customer prediction model is critical to retain custom...
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02/27/2019