Xiuwen Yi

Orcid: 0000-0003-2703-6794

According to our database1, Xiuwen Yi authored at least 31 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection.
CoRR, 2024

Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2023

Incremental unsupervised feature selection for dynamic incomplete multi-view data.
Inf. Fusion, August, 2023

Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection.
Hum. Centric Intell. Syst., April, 2023

2022
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng., 2022

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Predicting Fine-Grained Air Quality Based on Deep Neural Networks.
IEEE Trans. Big Data, 2022

Extracting keyframes of breast ultrasound video using deep reinforcement learning.
Medical Image Anal., 2022

T-copula and Wasserstein distance-based stochastic neighbor embedding.
Knowl. Based Syst., 2022

Matrix representation of the conditional entropy for incremental feature selection on multi-source data.
Inf. Sci., 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.
CoRR, 2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Citywide Traffic Volume Inference with Surveillance Camera Records.
IEEE Trans. Big Data, 2021

2020
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
CoRR, 2019

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.
CoRR, 2018

Predicting citywide crowd flows using deep spatio-temporal residual networks.
Artif. Intell., 2018

Deep Distributed Fusion Network for Air Quality Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Citywide Traffic Volume Estimation Using Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2017

City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016
A Gaussian Bayesian model to identify spatio-temporal causalities for air pollution based on urban big data.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DNN-based prediction model for spatio-temporal data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Managing massive trajectories on the cloud.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems).
计算机科学, 2015

Forecasting Fine-Grained Air Quality Based on Big Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015


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