Haoyuan Hu
Orcid: 0000-0003-0464-7736
According to our database1,
Haoyuan Hu
authored at least 50 papers
between 2017 and 2025.
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Bibliography
2025
Inf. Sci., 2025
2024
A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
INFORMS J. Appl. Anal., 2023
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
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
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests.
Proceedings of the International Conference on Machine Learning, 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
Proceedings of the IEEE International Conference on Acoustics, 2023
Intelligent Manufacturing Collaboration Platform for 3D Curved Plates Based on Graph Matching.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 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
2022
The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments.
Manuf. Serv. Oper. Manag., 2022
Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations.
Manag. Sci., 2022
INFORMS J. Appl. Anal., 2022
CoRR, 2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback.
CoRR, 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems.
CoRR, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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
Proceedings of the International Conference on Machine Learning, 2022
2021
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment.
CoRR, 2021
Multipartite-Graph Representation for Transportation Planning in Express Delivery Network.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
A Self-Adaptive Bluetooth Indoor Localization System using LSTM-based Distance Estimator.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
Balancing Exploration and Exploitation in the Memetic Algorithm via a Switching Mechanism for the Large-Scale VRPTW.
Proceedings of the Database Systems for Advanced Applications, 2020
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System.
CoRR, 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
CoRR, 2018
A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System.
CoRR, 2018
CoRR, 2018
2017
CoRR, 2017