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Lei Song

15 papers hereh-index 7105 citations22 works total

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

author position
  • middle author14
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV4
  • cs.CL2
  • cs.AI1
  • cs.IR1
same name
  • Lei Song — 14 papers, h 5
  • Lei Song — 9 papers, h 9
  • Lei Song — 6 papers, h 7
  • Lei Song — 6 papers, h 4
  • Lei Song — 4 papers, h 7
  • Lei Song — 4 papers, h 3

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

activity
20242026
most citedGraph Neural Network Enhanced Retrieval for Question Answering of LLMs

2 citations · 5 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis

Ziyue Wang, Linghan Cai, Chang Han Low +8

3D CT analysis spans a continuum from low-level perception to high-level clinical understanding. Existing 3D-oriented analysis methods adopt either isolated task-specific modeling…

cs.CV2025

See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning

Shuoshuo Zhang, Yizhen Zhang, Jingjing Fu +4

Large vision-language models (VLMs) often benefit from intermediate visual cues, either injected via external tools or generated as latent visual tokens during reasoning, but these…

cs.CV2025

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images

Shuoshuo Zhang, Zijian Li, Yizhen Zhang +6

Structured images (e.g., charts and geometric diagrams) remain challenging for multimodal large language models (MLLMs), as perceptual slips can cascade into erroneous conclusions.…

cs.CV2025

Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data

Zijian Li, Jingjing Fu, Lei Song +3

Visual reasoning is crucial for multimodal large language models (MLLMs) to address complex chart queries, yet high-quality rationale data remains scarce. Existing methods leverage…

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