activity
20182026
most citedFuzzy SLIC: Fuzzy Simple Linear Iterative Clustering

58 citations · 63 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.DC2025

UniFormer: Unified and Efficient Transformer for Reasoning Across General and Custom Computing

Zhuoheng Ran, Chong Wu, Renjie Xu +2

The success of neural networks such as convolutional neural networks (CNNs) has been largely attributed to their effective and widespread deployment on customised computing platfor…

math.NA2025

How many integrals should be evaluated at least in two-dimensional hyperinterpolation?

Maolin Che, Congpei An, Yimin Wei +1

This paper introduces a novel approach to approximating continuous functions over high-dimensional hypercubes by integrating matrix CUR decomposition with hyperinterpolation techni…

math.NA2025

sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation

Renjie Xu, Chong Wu, Maolin Che +3

We propose sparseGeoHOPCA, a novel framework for sparse higher-order principal component analysis (SHOPCA) that introduces a geometric perspective to high-dimensional tensor decomp…

math.NA2025

Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts

Maolin Che, Yimin Wei, Chong Wu +1

Randomized numerical linear algebra is proved to bridge theoretical advancements to offer scalable solutions for approximating tensor decomposition. This paper introduces fast rand…

math.NA2025★ 1 cited

LU Decomposition and Generalized Autoone-Takagi Decomposition of Dual Matrices and their Applications

Renjie Xu, Yimin Wei, Hong Yan

This paper uses matrix transformations to provide the Autoone-Takagi decomposition of dual complex symmetric matrices and extends it to dual quaternion -Hermitian matrices. The…

eess.IV2025★ 3 cited

ELFATT: Efficient Linear Fast Attention for Vision Transformers

Chong Wu, Maolin Che, Renjie Xu +2

The attention mechanism is the key to the success of transformers in different machine learning tasks. However, the quadratic complexity with respect to the sequence length of the…