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Xiaoxiao Li

24 papers hereh-index 152k citations30 works total

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

author position
  • first author5
  • middle author16
  • last author3

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CV6
  • eess.AS3
  • cs.AI1
  • cs.CL1
  • cs.DS1
same name
  • Xiaoxiao Li — 20 papers, h 19
  • Xiaoxiao Li — 17 papers, h 10
  • Xiaoxiao Li — 11 papers, h 12
  • Xiaoxiao Li — 11 papers, h 9
  • Xiaoxiao Li — 11 papers, h 5
  • Xiaoxiao Li — 9 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
20202023
most citedFedBN: Federated Learning on Non-IID Features via Local Batch Normalization

347 citations · 610 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Transsion TSUP's speech recognition system for ASRU 2023 MADASR Challenge

Xiaoxiao Li, Gaosheng Zhang, An Zhu +4

This paper presents a speech recognition system developed by the Transsion Speech Understanding Processing Team (TSUP) for the ASRU 2023 MADASR Challenge. The system focuses on ada…

cs.DS2023

Sparse Convolution for Approximate Sparse Instance

Xiaoxiao Li, Zhao Song, Guangyi Zhang

Computing the convolution A⋆B of two vectors of dimension n is one of the most important computational primitives in many fields. For the non-negative convolution scenari…

cs.LG2023

Biological Factor Regulatory Neural Network

Xinnan Dai, Caihua Shan, Jie Zheng +2

Genes are fundamental for analyzing biological systems and many recent works proposed to utilize gene expression for various biological tasks by deep learning models. Despite their…

cs.LG2023★ 2 cited

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation

Yilin Yang, Kamil Adamczewski, Danica J. Sutherland +2

Maximum mean discrepancy (MMD) is a particularly useful distance metric for differentially private data generation: when used with finite-dimensional features it allows us to summa…

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