Profil bibliographique

Gowen Loo

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

University of Electronic Science and Technology of China

Les domaines associés

Context-Aware Activity Recognition SystemsRecommender Systems and TechniquesPersonal Information Management and User BehaviorSocial Robot Interaction and HRIHuman Motion and Animation

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction

Shuoxin Wang, Chang Liu, Gowen Loo, Lifan Zheng et autres

Large Language Model (LLM)-based mobile agents have made significant performance advancements. However, these agents often follow explicit user instructions while overlooking personalized needs, leading to significant limitations for real users, particularly without personalized context: (1) inability to interpret ambiguous instructions, (2) lack …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction

Shuoxin Wang, Chang Liu, Gowen Loo, Lifan Zheng et autres

Large Language Model (LLM)-based mobile agents have made significant performance advancements. However, these agents often follow explicit user instructions while overlooking personalized needs, leading to significant limitations for real users, particularly without personalized context: (1) inability to interpret ambiguous instructions, (2) lack …

cn (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 conference-paper OpenAlex

Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction

Shuoxin Wang, Chang Liu, Gowen Loo, Lifan Zheng et autres

Large Language Model (LLM)-based mobile agents have made significant performance advancements.However, these agents often follow explicit user instructions while overlooking personalized needs, leading to significant limitations for real users, particularly without personalized context: (1) inability to interpret ambiguous instructions, (2) lack of …

cn, hk (code pays fourni par la source)

0 citations
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