activity
19972026
most citedSAITS: Self-Attention-based Imputation for Time Series

559 citations · 3.7k across the 233 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

cond-mat.mtrl-sci2019★ 28 cited

Electric field induced metallic behavior in thin crystals of ferroelectric α-In2Se3

Justin R. Rodriguez, William Murray, Kazunori Fujisawa +11

Ferroelectric semiconductor field effect transistors (FeSmFETs), which employ ferroelectric semiconducting thin crystals of α-In2Se3 as the channel material as opposed to the gate…

cond-mat.mtrl-sci2019★ 78 cited

Giant anisotropic magnetoresistance and nonvolatile memory in canted antiferromagnet Sr2IrO4

Haowen Wang, Chengliang Lu, Jun Chen +5

Antiferromagnets have been generating intense interest in the spintronics community, owing to their intrinsic appealing properties like zero stray field and ultrafast spin dynamics…

cs.LG2019★ 5 cited

Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks

Guanzhong Tian, Yi Yuan, Yong liu

We propose an end to end deep learning approach for generating real-time facial animation from just audio. Specifically, our deep architecture employs deep bidirectional long short…

quant-ph2019

Study on Estimating Quantum Discord by Neural Network with Prior Knowledge

Yong-Lei Liu, An-Min Wang, Guo-Dong Wang +2

Machine learning has achieved success in many areas because of its powerful fitting ability, so we hope it can help us to solve some significant physical quantitative problems, suc…

astro-ph.SR2019★ 16 cited

A new small satellite sunspot triggering recurrent standard- and blowout-coronal jets

Yuhu Miao, Y. Liu, Y. D. Shen +5

In this paper,we report a detailed analysis of recurrent jets originated from a location with emerging, canceling and converging negative magnetic field at the east edge of NOAA ac…

cs.IR2019★ 14 cited

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation

Yong Liu, Yinan Zhang, Qiong Wu +5

Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years. Most previous…