Haotian Wang
Orcid: 0000-0001-9783-6389Affiliations:
- JD Logistics, Beijing, China
According to our database1,
Haotian Wang
authored at least 25 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction.
ACM Trans. Intell. Syst. Technol., December, 2024
IEEE Trans. Knowl. Data Eng., November, 2024
Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework.
ACM Trans. Intell. Syst. Technol., October, 2024
Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs.
Proc. VLDB Endow., August, 2024
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024
CoRR, 2024
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System.
Proc. VLDB Endow., 2023
A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
COME: Learning to Coordinate Crowdsourcing and Regular Couriers for Offline Delivery During Online Mega Sale Days.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022