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researcher

Sheng Li

37 papers hereh-index 201.5k citations117 works total

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

author position
  • middle author28
  • last author5

Across the 33 of 37 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.CR8
  • cs.MM4
  • eess.IV2
  • cs.CL1
  • cs.CY1
same name
  • Sheng Li — 31 papers, h 17
  • Sheng Li — 26 papers, h 38
  • Sheng Li — 17 papers, h 18
  • Sheng Li — 15 papers, h 10
  • Sheng Li — 13 papers, h 11
  • Sheng Li — 12 papers, h 7

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
20212026
most citedGenerative Steganography Network

67 citations · 142 across the 35 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CR2026

What Survives Self-Evolution: Provenance Marks in Copied Agent Harnesses

Jieyu Li, Jingya Li, Sheng Li +2

Agent harnesses, the prompt and tool code around a base model, leak. Claude Code's 512,000 lines were mirrored within hours of a packaging error. A plagiarist can pass a leaked har…

cs.MM2026

ReVR: Dual-Path Concept Reasoning for Multimodal Fake News Detection

Zhikai Tan, Yuzhou Yang, Qichao Ying +4

Vision-language models (VLMs) support multimodal fake news detection (FND) by producing explicit analyses. Recent methods further improve interpretability by organizing verificatio…

cs.CV2026

Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes

Kun Guo, Yuzhou Yang, Haoyue Wang +3

Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual eviden…

cs.MM2026

RoE-FND: Synergizing LLMs with Experiential Learning for Effective and Generalizable Evidence-Based Fake News Detection

Yuzhou Yang, Qichao Ying, Sheng Li +3

The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or levera…

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