activity
20242026
most citedA Survey on Diffusion Models for Recommender Systems

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

collaborators

5 papers

cs.AI2026

SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale

Jiaqi Liu, Maolin Ran, Xiaoyang Lu +5

Short-drama generation has grown into a large, industrialized pipeline, and as it scales from isolated shots to the episode level, visual continuity has become a critical bottlenec…

cs.AI2026

SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution

Maolin Ran, Xiaoyang Lu, Jiaqi Liu +5

Storyboards turn screenplays into visual shot plans for automated short drama production. Professional storyboarding relies on tacit directorial expertise and remains an industrial…

cs.IR2025

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

Yunjia Xi, Jianghao Lin, Menghui Zhu +10

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by grounding responses with retrieved information. As an emerging paradigm, Agentic RAG further enhances…

cs.IR2025

Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items

Jianghao Lin, Peng Du, Jiaqi Liu +4

E-commerce has revolutionized retail, yet its traditional workflows remain inefficient, with significant resource costs tied to product design and inventory. This paper introduces…

cs.IR2024★ 5 cited

A Survey on Diffusion Models for Recommender Systems

Jianghao Lin, Jiaqi Liu, Jiachen Zhu +5

While traditional recommendation techniques have made significant strides in the past decades, they still suffer from limited generalization performance caused by factors like inad…