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Jiaxin Liu

12 papers hereh-index 341 citations18 works total

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

author position
  • first author3
  • middle author7
  • last author1

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV4
  • cs.LG4
same name
  • Jiaxin Liu — 4 papers, h 6
  • Jiaxin Liu — 4 papers, h 4
  • Jiaxin Liu — 4 papers, h 5
  • Jiaxin Liu — 3 papers, h 1
  • Jiaxin Liu — 3 papers, h 0
  • Jiaxin Liu — 3 papers, h 6

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

most citedDynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators

Pengcheng Fang, Hongli Chen, Yuxia Chen +3

Spectral token mixers based on Fourier transforms provide an efficient way to model global interactions in visual feature maps. Existing designs often either apply filter-wise spec…

cs.CV2026

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models

Jiaxin Liu, Ding Zhong, Yue Wang +6

Vision-language models (VLMs) have demonstrated remarkable capabilities in bridging visual perception and natural language understanding, enabling a wide range of multimodal reason…

cs.CV2025

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models

Jiaxin Liu, Zhaolu Kang

While recent multimodal models have shown progress in vision-language tasks, small-scale variants still struggle with the fine-grained temporal reasoning required for video underst…

cs.CV2025★ 1 cited

DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning

Chengxuan Qian, Kai Han, Jiaxin Liu +6

Multimodal learning integrates complementary information from diverse modalities to enhance the decision-making process. However, the potential of multimodal collaboration remains…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.