Haotian Wang

Orcid: 0000-0001-9783-6389

Affiliations:
  • JD Logistics, Beijing, China


According to our database1, Haotian Wang authored at least 25 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events.
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

SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior.
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

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data.
CoRR, 2024

InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs.
CoRR, 2024

Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery.
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

Adaptive Cross-platform Transportation Time Prediction for Logistics.
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

A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics.
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

REDE: Exploring Relay Transportation for Efficient Last-mile Delivery.
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

Logistics Audience Expansion via Temporal Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Urban-scale POI Updating with Crowd Intelligence.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoBuild: Automatic Community Building Labeling for Last-mile Delivery.
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


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