Haoyuan Hu

Orcid: 0000-0003-0464-7736

According to our database1, Haoyuan Hu authored at least 42 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023

Robust Representation Learning for Unified Online Top-K Recommendation.
CoRR, 2023

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.
CoRR, 2023

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System.
CoRR, 2023

ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment.
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

An Online Algorithm for Chance Constrained Resource Allocation.
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

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Deep Reinforcement Learning Approach for Online Parcel Assignment.
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

Alibaba Vehicle Routing Algorithms Enable Rapid Pick and Delivery.
INFORMS J. Appl. Anal., 2022

AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction.
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

CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper.
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

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function.
Proceedings of the International Conference on Machine Learning, 2022

2021
Online Allocation with Two-sided Resource Constraints.
CoRR, 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

Balanced Order Batching with Task-Oriented Graph Clustering.
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

A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning?
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming.
CoRR, 2018

A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System.
CoRR, 2018

A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem.
CoRR, 2018

2017
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method.
CoRR, 2017


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