Pu Wang

According to our database, Pu Wang authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition.

Pu Wang, Shinji Watanabe, Hugo Van hamme

CoRR, January, 2026

2025

Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet.

Anyu Ying, Natarajan Balaji Shankar, Chyi-Jiunn Lin, Mohan Shi, Pu Wang, Hye-jin Shim, Siddhant Arora, Hugo Van hamme, Abeer Alwan, Shinji Watanabe

CoRR, August, 2025

Disentangled-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation.

Pu Wang, Hugo Van hamme

Proceedings of the 6th IEEE International Conference on Image Processing, 2025

SSVD: Structured SVD for Parameter-Efficient Fine-Tuning and Benchmarking under Domain Shift in ASR.

Pu Wang, Shinji Watanabe, Hugo Van hamme

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2023

Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech.

Pu Wang, Hugo Van hamme

EURASIP J. Audio Speech Music. Process., December, 2023

2022

Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding.

Pu Wang, Hugo Van hamme

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Pre-training for low resource speech-to-intent applications.

Pu Wang, Hugo Van hamme

CoRR, 2021

A Light Transformer For Speech-To-Intent Applications.

Pu Wang, Hugo Van hamme

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech.

Pu Wang, Bagher BabaAli, Hugo Van hamme

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification.

Borui Hou, Jianyong Yang, Pu Wang, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2020

2019

Generative adversarial networks for data augmentation in machine fault diagnosis.

Siyu Shao, Pu Wang, Ruqiang Yan

Comput. Ind., 2019

Bearing Degradation Evaluation Using Improved Cross Recurrence Quantification Analysis and Nonlinear Auto-Regressive Neural Network.

Pu Wang, Hui Wang, Ruqiang Yan

IEEE Access, 2019

ECG Arrhythmias Detection Using Auxiliary Classifier Generative Adversarial Network and Residual Network.

Pu Wang, Borui Hou, Siyu Shao, Ruqiang Yan

IEEE Access, 2019