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06/19/2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Real-world last-mile delivery datasets are crucial for research in logis...
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04/04/2023
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System
Text-based delivery addresses, as the data foundation for logistics syst...
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03/06/2023
An Online Algorithm for Chance Constrained Resource Allocation
This paper studies the online stochastic resource allocation problem (RA...
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11/22/2022
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction
Large-scale commercial platforms usually involve numerous business domai...
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08/18/2022
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Maximizing a monotone submodular function is a fundamental task in machi...
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08/16/2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback
In this paper, we revisit the online non-monotone continuous DR-submodul...
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12/28/2021
Online Allocation with Two-sided Resource Constraints
Motivated by many interesting real-world applications in logistics and o...
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09/08/2021
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment
As online shopping prevails and e-commerce platforms emerge, there is a ...
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08/19/2020
Balanced Order Batching with Task-Oriented Graph Clustering
Balanced order batching problem (BOBP) arises from the process of wareho...
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03/07/2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System
In this paper, we study a courier dispatching problem (CDP) raised from ...
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11/29/2018
A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System
Packing cost accounts for a large part of the e-commerce logistics cost....
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11/26/2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
Convolutional neural networks (CNNs) are effective at solving difficult ...
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04/17/2018
A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem
This paper studies a new type of 3D bin packing problem (BPP), in which ...
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08/20/2017
