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Lianwei Wu

4 papers hereh-index 5105 citations12 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.MM1
  • cs.SE1
  • cs.SI1
same name
  • Lianwei Wu — 6 papers, h 15
  • Lianwei Wu — 5 papers, h 4

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
20232026
most citedGAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems

Hongru Ji, Yuyin Fan, Meng Zhao +3

Empathetic dialogue requires not only recognizing a user's emotional state but also making strategy-aware, context-sensitive decisions throughout response generation. However, the…

cs.MM2025

SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection

Peican Zhu, Yubo Jing, Le Cheng +4

Previous studies on multimodal fake news detection mainly focus on the alignment and integration of cross-modal features, as well as the application of text-image consistency. Howe…

cs.SE2024

EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment

Xin-Cheng Wen, Jiaxin Ye, Cuiyun Gao +2

Software Vulnerability (SV) assessment is a crucial process of determining different aspects of SVs (e.g., attack vectors and scope) for developers to effectively prioritize effort…

cs.SI2023★ 4 cited

GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking

Shu Yin, Chao Gao, Zhen Wang

With the rise of social media, the spread of fake news has become a significant concern, potentially misleading public perceptions and impacting social stability. Although deep lea…

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