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Lei Zhang

7 papers hereh-index 437 citations12 works total

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

author position
  • middle author7

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

fields
  • cs.CV5
  • cs.CL1
  • cs.LG1
same name
  • Lei Zhang — 410 papers
  • Lei Zhang — 78 papers, h 19
  • Lei Zhang — 67 papers, h 54
  • Lei Zhang — 63 papers, h 111
  • Lei Zhang — 59 papers, h 43
  • Lei Zhang — 42 papers

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
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models

Yinfeng Wang, Zhiyuan Yao, Zheren Fu +2

Multimodal large language models (MLLMs) are frequently exposed to auxiliary textual context, the impact of which on visually grounded tasks remains underexplored. In this paper, w…

cs.LG2026

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models

Huatian Zhang, Zhendong Mao, Lei Zhang +1

Direct Preference Optimization (DPO) has proven to be an effective solution for mitigating hallucination in Multimodal Large Language Models (MLLMs) by learning from preference pai…

cs.CV2026

CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers

Weidong Chen, Dexiang Hong, Zhendong Mao +4

Graphic design images consist of multiple editable layers, such as text, background, and decorative elements, while most generative models produce rasterized outputs without explic…

cs.CV2026

FACE-net: Factual Calibration and Emotion Augmentation for Retrieval-enhanced Emotional Video Captioning

Weidong Chen, Cheng Ye, Zhendong Mao +5

Emotional Video Captioning (EVC) is an emerging task, which aims to describe factual content with the intrinsic emotions expressed in videos. Existing works perceive global emotion…

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