Huaiyu Wan
Orcid: 0000-0002-0501-9363
According to our database1,
Huaiyu Wan
authored at least 60 papers
between 2010 and 2024.
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Bibliography
2024
Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin.
Expert Syst. Appl., March, 2024
CoRR, 2024
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation.
CoRR, 2024
CoRR, 2024
2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting.
Appl. Intell., December, 2023
Adversarial self-attentive time-variant neural networks for multi-step time series forecasting.
Expert Syst. Appl., November, 2023
Proc. ACM Manag. Data, September, 2023
Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., August, 2023
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.
ACM Trans. Intell. Syst. Technol., 2023
Exploiting global context and external knowledge for distantly supervised relation extraction.
Knowl. Based Syst., 2023
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning.
CoRR, 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
CoRR, 2023
Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
M<sup>2</sup>G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., 2022
Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.
IEEE Trans. Intell. Transp. Syst., 2022
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.
ACM Trans. Intell. Syst. Technol., 2022
Self-attention-based time-variant neural networks for multi-step time series forecasting.
Neural Comput. Appl., 2022
Building and exploiting spatial-temporal knowledge graph for next POI recommendation.
Knowl. Based Syst., 2022
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Knowl. Based Syst., 2020
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access, 2020
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
基于时空循环卷积网络的城市区域人口流量预测 (Citywide Crowd Flows Prediction Based on Spatio-Temporal Recurrent Convolutional Networks).
计算机科学, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Spatio-Temporal Recurrent Convolutional Networks for Citywide Short-term Crowd Flows Prediction.
Proceedings of the 2nd International Conference on Compute and Data Analysis, 2018
2016
Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.
J. Am. Medical Informatics Assoc., 2016
2015
Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers.
IEEE Trans. Intell. Transp. Syst., 2015
J. Comput. Sci. Technol., 2015
2013
2012
Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks.
J. Comput. Sci. Technol., 2012
J. Comput. Sci. Technol., 2012
2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
2010
A fast and reasonable method for community detection with adjustable extent of overlapping.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010