activity
20232026
most citedPenetrative AI: Making LLMs Comprehend the Physical World

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

AutoTour: Automatic Photo Tour Guide with Smartphones and LLMs

Huatao Xu, Zihe Liu, Zilin Zeng +2

We present AutoTour, a system that enhances user exploration by automatically generating fine-grained landmark annotations and descriptive narratives for photos captured by users.…

cs.AI2025

Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business

Huatao Xu, Yan Zhang, Wei Gao +2

This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the…

cs.AI2024★ 1 cited

AutoLife: Automatic Life Journaling with Smartphones and LLMs

Huatao Xu, Panrong Tong, Mo Li +1

This paper introduces a novel mobile sensing application - life journaling - designed to generate semantic descriptions of users' daily lives. We present AutoLife, an automatic lif…

cs.AI2024

Expand Heterogeneous Learning Systems with Selective Multi-Source Knowledge Fusion

Gaole Dai, Huatao Xu, Yifan Yang +2

Expanding existing learning systems to provide high-quality customized models for more domains, such as new users, is challenged by the limited labeled data and the data and device…

cs.AI2023★ 4 cited

Penetrative AI: Making LLMs Comprehend the Physical World

Huatao Xu, Liying Han, Qirui Yang +2

Recent developments in Large Language Models (LLMs) have demonstrated their remarkable capabilities across a range of tasks. Questions, however, persist about the nature of LLMs an…