Huaiyu Wan (万怀宇)

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

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Huaiyu Wan (万怀宇)

Professor, Beijing Jiaotong University

Correu electrònic verificat a bjtu.edu.cn - Pàgina d'inici

Spatial-Temporal Data Mining Social Network Mining Knowledge Graph Reasoning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	2710	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	1330	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	526	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	423	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	171	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	88	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	67	2023
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
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
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	36	2023

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