10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Hypergraph-based Multimodal Retrieval-Augmented Generation with Incremental Refinement
Shenao Chen, Yidan Xu, Xiangmin Han +5
Modern Multimodal Retrieval-Augmented Generation (M-RAG) systems are fundamentally limited by the binary connectivity paradigm of traditional simple graphs, which fails to capture…
cs.CV2026
Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
Lin Jiang, Qingshan She, Jiale Xu +3
Decoding visual content from electroencephalography (EEG) is important for understanding neural visual representations and developing non-invasive brain-computer interfaces. Existi…
cs.AI2019★ 10 cited
Artificial intelligence empowered multi-AGVs in manufacturing systems
Dong Li, Bo Ouyang, Duanpo Wu +1
AGVs are driverless robotic vehicles that picks up and delivers materials. How to improve the efficiency while preventing deadlocks is the core issue in designing AGV systems. In t…