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Wei Dong

15 papers hereh-index 7143 citations21 works total

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

author position
  • sole author1
  • first author2
  • middle author10
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CR3
  • cs.AI2
  • cs.MA2
  • cs.CL1
  • cs.LG1
same name
  • Wei Dong — 16 papers, h 12
  • Wei Dong — 9 papers, h 6
  • Wei Dong — 9 papers, h 3
  • Wei Dong — 8 papers, h 13
  • Wei Dong — 7 papers, h 5
  • Wei Dong — 5 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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation

Wei Dong, Tianyu Fu, Zhe Yu +9

As web agents increasingly demonstrate capabilities in automated task execution, the development of robust evaluation frameworks for assessing their navigation and task completion…

cs.CV2026

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

Lingzhi Yuan, Xinfeng Li, Chejian Xu +6

Recent text-to-image (T2I) models have exhibited remarkable performance in generating high-quality images from text descriptions. However, these models are vulnerable to misuse, pa…

cs.CV2026

When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems

Shiqian Zhao, Jiayang Liu, Yiming Li +9

Modern text-to-image (T2I) generation systems (e.g., DALL⋅E 3) exploit the memory mechanism, which captures key information in multi-turn interactions for faithful generation…

cs.CV2025

Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models

Xiaojun Jia, Sensen Gao, Simeng Qin +6

Large pre-trained vision-language models (VLMs), such as CLIP, demonstrate impressive generalization but remain highly vulnerable to adversarial examples (AEs). Previous work has e…

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