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Jia-Hao Liu

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Book Open access Sep 2026

User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems

Recommender systems deployed at scale are predominantly organized around platform-centric architectures in which each service independently constructs and optimizes an internal representation of the user. As large language models (LLMs) become upstream entry points to digital services, personalization may be reorganize...

Jia-Hao Liu, Ming-Zhe Han, Guan Liu et al. · 0 citations
Book Open access Sep 2026

User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems

A user-controlled intent layer is defined as a user-addressable representation and governance layer between a user/assistant and downstream services, through which personalization intents can be inspected, edited, scoped, authorized, operationalized, revoked, and audited.

Jia-Hao Liu, Ming-Zhe Han, Guan Liu et al. · 0 citations
Preprint Sep 2026

FedHUR: Learning Hierarchical Utility-Guided Client Relations for Personalized Federated Recommendation

FedHUR is a federated recommendation framework for learning hierarchical utility-guided client relations that consistently outperforms existing federated recommendation baselines, demonstrating the effectiveness of hierarchical utility-guided client relation learning.

Ming-Zhe Han, Jia-Hao Liu, Dong-Sheng Li et al. · 0 citations
Book Open access Aug 2026

UniGCRec: Unified User-Item Quantization for Generative Cross-Domain Recommendation

This work presents UniGCRec, which constructs a cross-domain user profile from multi-domain histories and quantizes both users and items into CSC-IDs that integrate semantic and collaborative signals, effectively mitigating user-item asymmetry and enabling preference-aware selective transfer under low-overlap settings.

Chaoyue Ding, Jia-Hao Liu, Dongsheng Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ElderBench: Benchmarking Autonomous Mobile Agents for Older Adults

ElderBench is the first benchmark for evaluating mobile GUI agents in authentic elderly-oriented scenarios and characterize the linguistic divergence between elderly instructions and existing GUI benchmark instructions from syntactic, semantic, and pragmatic perspectives, revealing substantial performance degradation w...

Wei-De Zhan, Qumu Shaqu, Yuan-Qing Liu et al. · 0 citations
Book Open access Aug 2026

UniGCRec: Unified User-Item Quantization for Generative Cross-Domain Recommendation

Cross-domain sequential recommendation (CDSR) improves target-domain prediction by leveraging multi-domain interaction histories. Most CDSR methods rely on shared entities or co-occurrence signals, which become unreliable when overlap is limited, and atomic ID representations further generalize poorly to long-tail or u...

Chaoyue Ding, Jiahao Liu, Dongsheng Li et al. · 0 citations

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