Huaiyu Wan (万怀宇)

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Youfang Lin（林友芳）Beijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Shengnan GuoBeijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Yan LinAalborg UniversityDirección de correo verificada de cs.aau.dk
Chao SongCainiao NetworkDirección de correo verificada de cainiao.com
Haomin WenCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Zhihao Wu [武志昊]Beijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Xiaowei MaoBeijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Wei Chen（陈炜）Beijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Gao CongNanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
Tonglong WeiBeijing jiaotong universityDirección de correo verificada de bjtu.edu.cn
Christian S. JensenAalborg University, Department of Computer ScienceDirección de correo verificada de cs.aau.dk
Letian Gong (贡乐天)Beijing Jiaotong UniversityDirección de correo verificada de bjtu.edu.cn
Tang JieWeBank Chair Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Steve GregoryUniversity of BristolDirección de correo verificada de cs.bris.ac.uk
Walter LuytenProfessor of Pharmaceutical and Pharmacological Sciences; KU LeuvenDirección de correo verificada de med.kuleuven.Be
Qiaozhu MeiProfessor, University of MichiganDirección de correo verificada de umich.edu
Marie-Francine MoensProfessor of Computer Science KU LeuvenDirección de correo verificada de cs.kuleuven.be
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupDirección de correo verificada de umich.edu

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Huaiyu Wan (万怀宇)

Professor, Beijing Jiaotong University

Dirección de correo verificada de bjtu.edu.cn - Página principal

Spatial-Temporal Data Mining Social Network Mining Knowledge Graph Reasoning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2697	2019
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	1320	2020
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	520	2022
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	422	2019
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	172	2012
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	109	2021
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	101	2020
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	93	2021
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	93	2018
AMiner: Search and Mining of Academic Social Networks H Wan, Y Zhang, J Zhang, J Tang Data Intelligence (DI) 1 (1), 58-76, 2019	87	2019
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	66	2019
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	65	2023
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	48	2022
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	48	2016
Improving Relation Classification by Entity Pair Graph Y Zhao, H Wan, J Gao, Y Lin ACML 2019, 1156-1171, 2019	45	2019
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	44	2012
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	39	2021
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	39	2016
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	38	2022
High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning X Cao, H Wan, Y Lin, S Han ICTAI 2019, 1510-1514, 2019	36	2019

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