Search Results for author: Xinyu Chen

Found 9 papers, 5 papers with code

Ultralow complexity long short-term memory network for fiber nonlinearity mitigation in coherent optical communication systems

no code implementations12 Aug 2021 Hao Ming, Xinyu Chen, Xiansong Fang, Lei Zhang, Chenjia Li, Fan Zhang

In this paper, we propose a center-oriented long short-term memory network (Co-LSTM) incorporating a simplified mode with a recycling mechanism in the equalization operation, which can mitigate fiber nonlinearity in coherent optical communication systems with ultralow complexity.

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

1 code implementation30 Apr 2021 Xinyu Chen, MengYing Lei, Nicolas Saunier, Lijun Sun

In this paper, we propose a low-rank autoregressive tensor completion (LATC) framework by introducing \textit{temporal variation} as a new regularization term into the completion of a third-order (sensor $\times$ time of day $\times$ day) tensor.

Imputation Time Series +1

Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation

3 code implementations7 Aug 2020 Xinyu Chen, Yixian Chen, Nicolas Saunier, Lijun Sun

Recent studies based on tensor nuclear norm have demonstrated the superiority of tensor learning in imputation tasks by effectively characterizing the complex correlations/dependencies in spatiotemporal data.

Imputation Traffic Data Imputation

Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting

no code implementations1 Jul 2020 Pu Ren, Xinyu Chen, Lijun Sun, Hao Sun

To address this fundamental issue, this paper presents an incremental Bayesian tensor learning method for reconstruction of spatiotemporal missing data in SHM and forecasting of structural response.

Imputation Incremental Learning +1

Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting

1 code implementation18 Jun 2020 Xinyu Chen, Lijun Sun

In this paper, we propose a low-rank autoregressive tensor completion (LATC) framework to model multivariate time series data.

Imputation Multivariate Time Series Forecasting +2

A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation

2 code implementations23 Mar 2020 Xinyu Chen, Jinming Yang, Lijun Sun

Sparsity and missing data problems are very common in spatiotemporal traffic data collected from various sensing systems.

Imputation Traffic Data Imputation

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

3 code implementations14 Oct 2019 Xinyu Chen, Lijun Sun

In this paper, we propose a Bayesian temporal factorization (BTF) framework for modeling multidimensional time series -- in particular spatiotemporal data -- in the presence of missing values.

Imputation Time Series +1

A Survey on Graph Processing Accelerators: Challenges and Opportunities

no code implementations26 Feb 2019 Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin

Graph is a well known data structure to represent the associated relationships in a variety of applications, e. g., data science and machine learning.

Distributed, Parallel, and Cluster Computing

In situ TensorView: In situ Visualization of Convolutional Neural Networks

no code implementations16 Jun 2018 Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James Ahrens, Trilce Estrada

We present in situ TensorView to visualize the training and functioning of CNNs as if they are systems of scientific simulations.

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