Yinan Li

Orcid: 0000-0002-2778-877X

Affiliations:
  • Space Engineering University, Beijing, China


According to our database1, Yinan Li authored at least 12 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An attack-agnostic defense method against adversarial attacks on speaker verification by fusing downsampling and upsampling of speech signals.
Inf. Sci., 2024

2023
Alternating Direction Method of Multipliers for Convolutive Non-Negative Matrix Factorization.
IEEE Trans. Cybern., December, 2023

2019
Robust Hierarchical Learning for Non-Negative Matrix Factorization With Outliers.
IEEE Access, 2019

2016
Automatic Model Order Selection for Convolutive Non-Negative Matrix Factorization.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Online Convolutive Non-Negative Bases Learning for Speech Enhancement.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Improved Semi-Supervised NMF Based Real-Time Capable Speech Enhancement.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Speech Enhancement Using Non-negative Low-Rank Modeling with Temporal Continuity and Sparseness Constraints.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Adaptive extraction of repeating non-negative temporal patterns for single-channel speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Speech Enhancement Under Low SNR Conditions Via Noise Estimation Using Sparse and Low-Rank NMF with Kullback-Leibler Divergence.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Gobblin: Unifying Data Ingestion for Hadoop.
Proc. VLDB Endow., 2015

Speech enhancement based on robust NMF solved by alternating direction method of multipliers.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Unsupervised monaural speech enhancement using robust NMF with low-rank and sparse constraints.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015


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