Quan Z. Sheng

Macquarie University

Papers on Lattice

Total citations

Topics

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Publication activitypapers/week, last 8 weeks

Research focus

Multimodal Models (3)Recommendation & Information Retrieval (3)Natural Language Processing (2)

Frequent co-authors

Chengkai Huang (3)Lina Yao (2)Xihang Wang (2)Hao Cong (1)

Papers (3)

Jul 8, 2026

5d ago·also Macquarie

Seeing and Reflecting: Multimodal Memory-Enhanced Agent Collaboration for Recommendation

MMEACR achieves significant performance improvements in visually grounded recommendations by effectively integrating multimodal memory and collaborative reasoning.

Hao Cong, Huizu Lin, Chengkai Huang +2

Multimodal Models Recommendation & Information Retrieval

Apr 30, 2026

Apr 30, 2026·also Macquarie, Meituan, UNSW

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG

Stop drowning your MLLMs in irrelevant document noise: FES-RAG shows that carefully selecting multimodal fragments as evidence boosts performance by up to 27% while shrinking context length.

Xihang Wang, Zihan Wang, Chengkai Huang +3

Multimodal Models Natural Language Processing Recommendation & Information Retrieval

Apr 27, 2026

Apr 27, 2026·also Macquarie, PKU, UNSW

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG

Semantic grounding, not token probability, is the key to better multimodal RAG.

Xihang Wang, Chengkai Huang, Quan Z. Sheng +1