Articles with public access mandates - Huaiyu Wan (万怀宇)Learn more
Available somewhere: 25
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
Improving Relation Classification by Entity Pair Graph
Y Zhao, H Wan, J Gao, Y Lin
ACML 2019, 1156-1171, 2019
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning
X Cao, H Wan, Y Lin, S Han
ICTAI 2019, 1510-1514, 2019
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
面向交通流量预测的多组件时空图卷积网络
冯宁， 郭晟楠， 宋超， 朱琪超， 万怀宇
软件学报 30 (3), 759-769, 2019
Mandates: National Natural Science Foundation of China
特征驱动的关键词提取算法综述
常耀成， 张宇翔， 王红， 万怀宇， 肖春景
软件学报 29 (07), 224-248, 2018
Mandates: National Natural Science Foundation of China
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction
X Mao, H Wen, H Zhang, H Wan, L Wu, J Zheng, H Hu, Y Lin
KDD 2023, 4628-4637, 2023
Mandates: National Natural Science Foundation of China
Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories
H Wan, F Li, S Guo, Z Cao, Y Lin
DASFAA 2019, 268–272, 2019
Mandates: National Natural Science Foundation of China
Exploiting the Entity Type Sequence to Benefit Event Detection
Y Ji, Y Lin, J Gao, H Wan
CoNLL 2019, 613-623, 2019
Mandates: National Natural Science Foundation of China
Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging
T Wei, Y Lin, S Guo, Y Lin, Y Zhao, X Jin, Z Wu, H Wan
Knowledge-Based Systems (KBS) 284, 111325, 2024
Mandates: National Natural Science Foundation of China
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution
X Mao, H Wan, H Wen, F Wu, J Zheng, Y Qiang, S Guo, L Wu, H Hu, Y Lin
AAAI 2023, 4561-4568, 2023
Mandates: National Natural Science Foundation of China
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
L Gong, Y Lin, S Guo, Y Lin, T Wang, E Zheng, Z Zhou, H Wan
AAAI 2023, 4276-4283, 2023
Mandates: National Natural Science Foundation of China
AOL4PS: A Large-Scale Dataset for Personalized Search
Q Guo, W Chen, H Wan
Data Intelligence (DI) 3 (4), 548–567, 2021
Mandates: National Natural Science Foundation of China
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