most citedMambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

17 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Image Distillation for Safe Data Sharing in Histopathology

Zhe Li, Bernhard Kainz

Histopathology can help clinicians make accurate diagnoses, determine disease prognosis, and plan appropriate treatment strategies. As deep learning techniques prove successful in…

astro-ph.HE20241 cited

Constraints on Ultra Heavy Dark Matter Properties from Dwarf Spheroidal Galaxies with LHAASO Observations

Zhen Cao, F. Aharonian, Q. An +276

In this work we try to search for signals generated by ultra-heavy dark matter at the Large High Altitude Air Shower Observatory (LHAASO) data. We look for possible gamma-ray by da…

cs.LG20241 cited

TernaryLLM: Ternarized Large Language Model

Tianqi Chen, Zhe Li, Weixiang Xu +6

Large language models (LLMs) have achieved remarkable performance on Natural Language Processing (NLP) tasks, but they are hindered by high computational costs and memory requireme…

cs.CV202417 cited

MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

Zhe Li, Haiwei Pan, Kejia Zhang +2

Multi-modality image fusion (MMIF) aims to integrate complementary information from different modalities into a single fused image to represent the imaging scene and facilitate dow…

astro-ph.HE202211 cited

Flux Variations of Cosmic Ray Air Showers Detected by LHAASO-KM2A During a Thunderstorm on 10 June 2021

LHAASO Collaboration, F. Aharonian, Q. An +268

The Large High Altitude Air Shower Observatory (LHAASO) has three sub-arrays, KM2A, WCDA and WFCTA. The flux variations of cosmic ray air showers were studied by analyzing the KM2A…