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Huaiyu Wan (万怀宇)
Huaiyu Wan (万怀宇)
Professor, Beijing Jiaotong University
Подтвержден адрес электронной почты в домене bjtu.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
S Guo, Y Lin, N Feng, C Song, H Wan
AAAI 2019, 922-929, 2019
27152019
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
C Song, Y Lin, S Guo, H Wan
AAAI 2020, 914-921, 2020
13362020
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
S Guo, Y Lin, H Wan, X Li, G Cong
IEEE Transactions on Knowledge & Data Engineering (TKDE) 34 (11), 5415-5428, 2022
5292022
Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting
S Guo, Y Lin, S Li, Z Chen, H Wan
IEEE Transactions on Intelligent Transportation Systems (TITS) 20 (10), 3913 …, 2019
4222019
Balanced multi-label propagation for overlapping community detection in social networks
Z Wu, Y Lin, S Gregory, H Wan, S Tian
Journal of Computer Science and Technology (JCST) 27 (3), 468-479, 2012
1722012
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
Y Lin, H Wan, S Guo, Y Lin
AAAI 2021, 4241-4248, 2021
1112021
CTS-LSTM: LSTM-based Neural Networks for Correlated Time Series Prediction
H Wan, S Guo, K Yin, X Liang, Y Lin
Knowledge-Based Systems (KBS) 191, 105239, 2020
1012020
Spatio-temporal recurrent convolutional networks for citywide short-term crowd flows prediction
W Jin, Y Lin, Z Wu, H Wan
ICCDA 2018, 28-35, 2018
932018
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
B Wang, Y Lin, S Guo, H Wan
AAAI 2021, 4402-4409, 2021
912021
AMiner: Search and Mining of Academic Social Networks
H Wan, Y Zhang, J Zhang, J Tang
Data Intelligence (DI) 1 (1), 58-76, 2019
852019
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
H Wen, Y Lin, Y Xia, H Wan, R Zimmermann, Y Liang
SIGSPATIAL 2023, 2023
692023
Multi-component spatial-temporal graph convolution networks for traffic flow forecasting
N Feng, S Guo, C Song, Q Zhu, H Wan
Journal of Software 30 (3), 759-769, 2019
632019
Predicting top-L missing links with node and link clustering information in large-scale networks
Z Wu, Y Lin, H Wan, W Jamil
Journal of Statistical Mechanics: Theory and Experiment 2016 (8), 083202, 2016
502016
Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation
W Chen, H Wan, S Guo, H Huang, S Zheng, J Li, S Lin, Y Lin
Knowledge-Based Systems (KBS) 258, 109951, 2022
482022
Improving Relation Classification by Entity Pair Graph
Y Zhao, H Wan, J Gao, Y Lin
ACML 2019, 1156-1171, 2019
472019
Efficient overlapping community detection in huge real-world networks
Z Wu, Y Lin, H Wan, S Tian, K Hu
Physica A: Statistical Mechanics and its Applications 391 (7), 2475-2490, 2012
442012
Package Pick-up Route Prediction via Modeling Couriers’ Spatial-Temporal Behaviors
H Wen, Y Lin, F Wu, H Wan, S Guo, L Wu, C Song, Y Xu
ICDE 2021, 2141-2146, 2021
392021
Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks
H Wan, MF Moens, W Luyten, X Zhou, Q Mei, L Liu, J Tang
Journal of the American Medical Informatics Association (JAMIA) 23 (2), 356-365, 2016
392016
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction
H Wen, Y Lin, X Mao, F Wu, Y Zhao, H Wang, J Zheng, L Wu, H Hu, ...
KDD 2022, 4143-4152, 2022
382022
Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting
S Guo, Y Lin, L Gong, C Wang, Z Zhou, Z Shen, Y Huang, H Wan
ICDE 2023, 1585-1596, 2023
372023
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Статьи 1–20