Search Results for author: Pu Wang

Found 8 papers, 3 papers with code

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing

no code implementations18 Oct 2021 Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang

Federated Learning (FL) over wireless multi-hop edge computing networks, i. e., multi-hop FL, is a cost-effective distributed on-device deep learning paradigm.

Edge-computing Federated Learning +1

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

no code implementations15 Jun 2021 Pu Wang, Bagher BabaAli, Hugo Van hamme

The acoustic model is pre-trained in two stages: initialization with a corpus of normal speech and finetuning on a mixture of dysarthric and normal speech.

automatic-speech-recognition Speech Recognition +1

MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations

1 code implementation14 May 2021 Taojiannan Yang, Sijie Zhu, Matias Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen

MutualNet is a general training methodology that can be applied to various network structures (e. g., 2D networks: MobileNets, ResNet, 3D networks: SlowFast, X3D) and various tasks (e. g., image classification, object detection, segmentation, and action recognition), and is demonstrated to achieve consistent improvements on a variety of datasets.

Action Recognition Image Classification +1

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

no code implementations30 Mar 2021 Pu Wang, Hugo Van hamme

In this paper we combine the encoder of an end-to-end ASR system with the prior NMF/capsule network-based user-taught decoder, and investigate whether pre-training methodology can reduce training data requirements for the NMF and capsule network.

End-To-End Speech Recognition

Deep CSI Learning for Gait Biometric Sensing and Recognition

no code implementations6 Feb 2019 Kalvik Jakkala, Arupjyoti Bhuya, Zhi Sun, Pu Wang, Zhuo Cheng

Gait is a person's natural walking style and a complex biological process that is unique to each person.

Denoising Gait Identification

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

7 code implementations12 Nov 2018 Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, Haifeng Li

However, traffic forecasting has always been considered an open scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time, namely, spatial dependence and temporal dependence.

Traffic Prediction

Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals

no code implementations9 Nov 2013 Jun Fang, Yanning Shen, Hongbin Li, Pu Wang

In this paper, we develop a new sparse Bayesian learning method for recovery of block-sparse signals with unknown cluster patterns.

Cannot find the paper you are looking for? You can Submit a new open access paper.