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20192022
most citedBayesian Temporal Factorization for Multidimensional Time Series Prediction

268 citations · 815 across the 12 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.LG2022★ 41 cited

Laplacian Convolutional Representation for Traffic Time Series Imputation

Xinyu Chen, Zhanhong Cheng, HanQin Cai +2

Spatiotemporal traffic data imputation is of great significance in intelligent transportation systems and data-driven decision-making processes. To perform efficient learning and a…

cs.LG2022

Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression

Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen +2

The problem of broad practical interest in spatiotemporal data analysis, i.e., discovering interpretable dynamic patterns from spatiotemporal data, is studied in this paper. Toward…

cs.CL2022

TCBERT: A Technical Report for Chinese Topic Classification BERT

Ting Han, Kunhao Pan, Xinyu Chen +5

Bidirectional Encoder Representations from Transformers or BERT~\cite{devlin-etal-2019-bert} has been one of the base models for various NLP tasks due to its remarkable performance…

cs.LG2022

Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization

Xinyu Chen, Chengyuan Zhang, Xi-Le Zhao +2

Movement speed data from urban road networks, computed from ridesharing vehicles or taxi trajectories, is often high-dimensional, sparse, and nonstationary (e.g., exhibiting season…

cs.CL2022★ 2 cited

An Adaptive Deep Clustering Pipeline to Inform Text Labeling at Scale

Xinyu Chen, Ian Beaver

Mining the latent intentions from large volumes of natural language inputs is a key step to help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer…

cs.CL2022

A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts

Xinyu Chen, Ian Beaver

Mining the latent intentions from large volumes of natural language inputs is a key step to help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer…