4 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models
Anlan Yu, Zaishu Chen, Peili Song +6
Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into uns…
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…
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…
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren, Zilin Jiang, Jinghan Cao +6
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in t…