Xinyue Liang

About Xinyue Liang

Xinyue Liang, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Machine learning, Distributed learning, Neural networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

DeePMOS: deep posterior mean-opinion-score of speech

Deterministic Transform Based Weight Matrices for Neural Networks

Decentralized learning of randomization-based neural networks with centralized equivalence

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network

Asynchronous Decentralized Learning of Randomization-Based Neural Networks

Feature Reuse for a Randomization Based Neural Network

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead

Adaptive Learning without Forgetting via Low-Complexity Convex Networks

Xinyue Liang Information

University

Position

PhD student of

Citations(all)

59

Citations(since 2020)

59

Cited By

18

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Xinyue Liang Skills & Research Interests

Machine learning

Distributed learning

Neural networks

Top articles of Xinyue Liang

DeePMOS: deep posterior mean-opinion-score of speech

Proceedings of INTERSPEECH

2023

Deterministic Transform Based Weight Matrices for Neural Networks

2022/5/23

Xinyue Liang
Xinyue Liang

H-Index: 3

Saikat Chatterjee
Saikat Chatterjee

H-Index: 7

Decentralized learning of randomization-based neural networks with centralized equivalence

Applied Soft Computing

2022/1/1

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network

arXiv e-prints

2021/10

Xinyue Liang
Xinyue Liang

H-Index: 3

Saikat Chatterjee
Saikat Chatterjee

H-Index: 7

Asynchronous Decentralized Learning of Randomization-Based Neural Networks

2021/7/18

Feature Reuse for a Randomization Based Neural Network

2021/6/6

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead

2021/1/18

Adaptive Learning without Forgetting via Low-Complexity Convex Networks

2021/1/18

Predictive analysis of COVID-19 time-series data from Johns Hopkins University

arXiv preprint arXiv:2005.05060

2020/5/7

Xinyue Liang
Xinyue Liang

H-Index: 3

Saikat Chatterjee
Saikat Chatterjee

H-Index: 7

Asynchrounous decentralized learning of a neural network

2020/5/4

A low complexity decentralized neural net with centralized equivalence using layer-wise learning

2020/7/19

See List of Professors in Xinyue Liang University(Kungliga Tekniska högskolan)