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researcher

Qiao Wang

Southeast University

4 papers hereh-index 578 citations7 works total

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

author position
  • last author4

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

fields
  • cs.LG3
  • cs.CV1
affiliations
  • Southeast University
same name
  • Qiao Wang — 24 papers, h 10
  • Qiao Wang — 7 papers, h 13
  • Qiao Wang — 5 papers, h 4
  • Qiao Wang — 5 papers, h 3
  • Qiao Wang — 5 papers, h 1
  • Qiao Wang — 4 papers, h 6

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

most citedEnhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024★ 1 cited

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting

Rui Cao, Qiao Wang

This research examines the use of Large Language Models (LLMs) in predicting time series, with a specific focus on the LLMTIME model. Despite the established effectiveness of LLMs…

cs.LG2024★ 1 cited

Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise

Haoran Shen, Chen Zeng, Jiahui Wang +1

It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively ev…

cs.CV2024★ 2 cited

Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures

Ruizhe Wang, Chunliang Hua, Tomakayev Shingys +6

The photorealistic reconstruction and rendering of architectural scenes have extensive applications in industries such as film, games, and transportation. It also plays an importan…

cs.LG2023★ 1 cited

A Unified Framework for Fair Spectral Clustering With Effective Graph Learning

Xiang Zhang, Qiao Wang

We consider the problem of spectral clustering under group fairness constraints, where samples from each sensitive group are approximately proportionally represented in each cluste…

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