Xiuwen Yi

According to our database, Xiuwen Yi authored at least 28 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

C²IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

IEEE Trans. Knowl. Data Eng., October, 2023

Incremental unsupervised feature selection for dynamic incomplete multi-view data.

Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li

Inf. Fusion, August, 2023

Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.

Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng

IEEE Trans. Knowl. Data Eng., May, 2023

Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection.

Lusheng Pan, Xiuwen Yi, Shun Chen, Yanyong Huang, Yu Zheng

Hum. Centric Intell. Syst., April, 2023

2022

Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.

Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

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

Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Predicting Fine-Grained Air Quality Based on Deep Neural Networks.

Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng

IEEE Trans. Big Data, 2022

Extracting keyframes of breast ultrasound video using deep reinforcement learning.

Ruobing Huang, Qilong Ying, Zehui Lin, Zijie Zheng, Long Tan, Guoxue Tang, Qi Zhang, Man Luo, Xiuwen Yi, Pan Liu, Weiwei Pan, Jiayi Wu, Baoming Luo, Dong Ni

Medical Image Anal., 2022

T-copula and Wasserstein distance-based stochastic neighbor embedding.

Yanyong Huang, Kejun Guo, Xiuwen Yi, Jing Yu, Zongxin Shen, Tianrui Li

Knowl. Based Syst., 2022

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

Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li

Inf. Sci., 2022

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

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

CoRR, 2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.

Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Citywide Traffic Volume Inference with Surveillance Camera Records.

Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li

IEEE Trans. Big Data, 2021

2020

You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.

Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li

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.

Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yu Zheng

CoRR, 2019

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.

Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.

Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng

CoRR, 2018

Predicting citywide crowd flows using deep spatio-temporal residual networks.

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li

Artif. Intell., 2018

Deep Distributed Fusion Network for Air Quality Prediction.

Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng

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.

Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Citywide Traffic Volume Estimation Using Trajectory Data.

Xianyuan Zhan, Yu Zheng, Xiuwen Yi, Satish V. Ukkusuri

IEEE Trans. Knowl. Data Eng., 2017

City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories.

Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng

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.

Julie Yixuan Zhu, Yu Zheng, Xiuwen Yi, Victor O. K. Li

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.

Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DNN-based prediction model for spatio-temporal data.

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi

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.

Jie Bao, Ruiyuan Li, Xiuwen Yi, Yu Zheng

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).

Xiuwen Yi, Tianrui Li, Junbo Zhang, Fei Teng

计算机科学, 2015

Forecasting Fine-Grained Air Quality Based on Big Data.

Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015