Yadong Niu

Orcid: 0000-0001-5936-3867

According to our database1, Yadong Niu authored at least 16 papers between 2017 and 2025.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MiDashengLM: Efficient Audio Understanding with General Audio Captions.
CoRR, August, 2025

MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks.
CoRR, July, 2025

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders.
CoRR, June, 2025

GLAP: General contrastive audio-text pretraining across domains and languages.
CoRR, June, 2025

StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion.
CoRR, June, 2025

X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance.
CoRR, May, 2025

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering.
CoRR, March, 2025

The ICME 2025 Audio Encoder Capability Challenge.
CoRR, January, 2025

2024
Research on Estimation Method for Airport Runway Friction Coefficient Based on Numerical Analysis.
IEEE Access, 2024

A Spectral Change Enhancement Method Based on Self-Supervised Learning Framework.
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024

2023
A Model-Based Hearing Compensation Method Using a Self-Supervised Framework.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Modeling and Analysis of Runway Friction Coefficient Prediction Methods Based on Multivariable Coupling.
IEEE Trans. Instrum. Meas., 2022

2021
Techniques and Methods for Runway Friction Measurement: A Review of State of the Art.
IEEE Trans. Instrum. Meas., 2021

2020
Estimation for Runway Friction Coefficient Based on Multi-Sensor Information Fusion and Model Correlation.
Sensors, 2020

2018
Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

2017
A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks.
CoRR, 2017


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