13 citations · 19 across the 9 of their papers we have counts for
9 papers
Major-Minor LQ Mean Field Games with Erroneous Initial Information: Distributed Error Estimation and Strategy Modification
Yuxin Jin, Haotian Wang, Wang Yao +1
This paper studies major-minor linear-quadratic mean field games (MMLQMFGs) with erroneous initial information under a constrained observation structure. Each minor agent observes…
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
Zhiqing Hong, Zelong Li, Xiubin Fan +5
Human Activity Recognition (HAR) has shown remarkable effectiveness in various applications, such as smart healthcare and intelligent manufacturing. However, a major challenge face…
Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
Jiangyi Fang, Bowen Zhou, Haotian Wang +2
Online 3D Bin Packing (3D-BP) with robotic arms is crucial for reducing transportation and labor costs in modern logistics. While Deep Reinforcement Learning (DRL) has shown strong…
Collaborate sim and real: Robot Bin Packing Learning in Real-world and Physical Engine
Lidi Zhang, Han Wu, Liyu Zhang +6
The 3D bin packing problem, with its diverse industrial applications, has garnered significant research attention in recent years. Existing approaches typically model it as a discr…
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Jinhui Yi, Huan Yan, Haotian Wang +2
Prediction of couriers' delivery timely rates in advance is essential to the logistics industry, enabling companies to take preemptive measures to ensure the normal operation of de…
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Jinhui Yi, Huan Yan, Haotian Wang +2
Accurately estimating package delivery time is essential to the logistics industry, which enables reasonable work allocation and on-time service guarantee. This becomes even more n…
Initial Error Tolerant Distributed Mean Field Control under Partial and Discrete Information
Yuxin Jin, Haotian Wang, Wang Yao +1
In this paper, an initial error tolerant distributed mean field control method under partial and discrete information is introduced, where each agent only has discrete observations…
AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data
Qinchen Yang, Zhiqing Hong, Dongjiang Cao +6
Textual description of a physical location, commonly known as an address, plays an important role in location-based services(LBS) such as on-demand delivery and navigation. However…
Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
Xinyue Feng, Shuxin Zhong, Jinquan Hang +6
Customer expansion, i.e., growing a business existing customer base by acquiring new customers, is critical for scaling operations and sustaining the long-term profitability of log…