most citedHM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2025

ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion

Junming Liu, Yifei Sun, Weihua Cheng +4

Magnetic Resonance Imaging (MRI) plays a crucial role in brain disease diagnosis, but it is not always feasible for certain patients due to physical or clinical constraints. Recent…

eess.SY2025

TranSimHub:A Unified Air-Ground Simulation Platform for Multi-Modal Perception and Decision-Making

Maonan Wang, Yirong Chen, Yuxin Cai +12

Air-ground collaborative intelligence is becoming a key approach for next-generation urban intelligent transportation management, where aerial and ground systems work together on p…

cs.LG2025

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling

Yifei Sun, Junming Liu, Yirong Chen +2

Multivariate time series data typically comprises two distinct modalities: variable semantics and sampled numerical observations. Traditional time series models treat variables as…

cs.CL20251 cited

HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

Pei Liu, Xin Liu, Ruoyu Yao +4

While Retrieval-Augmented Generation (RAG) augments Large Language Models (LLMs) with external knowledge, conventional single-agent RAG remains fundamentally limited in resolving c…

cs.LG2025

FedRecon: Missing Modality Reconstruction in Heterogeneous Distributed Environments

Junming Liu, Yanting Gao, Yifei Sun +4

Multimodal data are often incomplete and exhibit Non-Independent and Identically Distributed (Non-IID) characteristics in real-world scenarios. These inherent limitations lead to b…