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Guoyin Wang

21 papers here

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

author position
  • middle author10
  • last author9

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL6
  • cs.AI4
  • cs.CV3
ORCID 0000-0002-8521-5232
same name
  • Guoyin Wang — 22 papers, h 52
  • Guoyin Wang — 12 papers, h 16
  • Guoyin Wang — 11 papers, h 30
  • Guoyin Wang — 6 papers, h 4
  • Guoyin Wang — 5 papers, h 9
  • Guoyin Wang — 5 papers, h 8

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
20212025
most citedSentiment Analysis through LLM Negotiations

12 citations · 34 across the 21 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2025

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing

Shuyin Xia, Guan Wang, Gaojie Xu +2

The objective of graph coarsening is to generate smaller, more manageable graphs while preserving key information of the original graph. Previous work were mainly based on the pers…

cs.AI2024

Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set

Nanfang Luo, Qinghua Zhang, Qin Xie +3

Group decision-making (GDM) characterized by complexity and uncertainty is an essential part of various life scenarios. Most existing researches lack tools to fuse information quic…

cs.AI2024

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Ziyu Zhao, Leilei Gan, Guoyin Wang +4

Low-Rank Adaptation (LoRA) provides an effective yet efficient solution for fine-tuning large language models (LLM). The modular and plug-and-play nature of LoRA enables the integr…

cs.AI2022★ 1 cited

Semi-supervised Learning with Deterministic Labeling and Large Margin Projection

Ji Xu, Gang Ren, Yao Xiao +2

The centrality and diversity of the labeled data are very influential to the performance of semi-supervised learning (SSL), but most SSL models select the labeled data randomly. Th…

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