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Hongxia Yang

12 papers hereh-index 214 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author6

Across the 7 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL4
  • cs.AI1
  • cs.DB1
same name
  • Hongxia Yang — 68 papers, h 46
  • Hongxia Yang — 18 papers, h 11
  • Hongxia Yang — 12 papers, h 9
  • Hongxia Yang — 10 papers, h 5
  • Hongxia Yang — 8 papers, h 7
  • Hongxia Yang — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

InfiMed2: A Generalist Medical Multimodal Foundation Model from Contextual Evidence and Stability-Aware Supervision

Guanghao Zhu, Zeyu Liu, Zhitian Hou +9

Recent medical multimodal models have benefited from larger corpora, broader modality coverage, and stronger reasoning-oriented training, yet effective data design across continued…

cs.CL2026

From Parameters to Behaviors: A Survey of Model Fusion for Large Language Models

Shuo Cai, Yanggan Gu, Zihao Wang +8

Model fusion integrates the capabilities from source models into a single target model. As of June 2026, Hugging Face hosts more than 2M models. This growing pool provides a rich b…

cs.CL2026

Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining

Guanghao Zhu, Zeyu Liu, Zhitian Hou +10

Biomedical figures are explained not by captions alone but by body-text passages that discuss them. Yet current multimodal corpora typically reduce figures to isolated image-captio…

cs.CL2026

E-PMQ: Expert-Guided Post-Merge Quantization with Merged-Weight Anchoring

Wenjun Wang, Yanggan Gu, Shuo Cai +4

Low-resource deployment constraints have made model quantization essential for deploying neural networks while preserving performance. Meanwhile, model merging has become an increa…

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