10 citations · 13 across the 6 of their papers we have counts for
5 papers
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
Yun Li, Zhe Liu, Lina Yao +3
With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has been widely applied in E…
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Shengyuan Hu, Jack Goetz, Kshitiz Malik +3
Model compression is important in federated learning (FL) with large models to reduce communication cost. Prior works have been focusing on sparsification based compression that co…
Neural-FST Class Language Model for End-to-End Speech Recognition
Antoine Bruguier, Duc Le, Rohit Prabhavalkar +7
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and finite state transduce…
See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS
Xun Zhou, Changle Li, Zhe Liu +4
The Intelligent Transportation System (ITS) targets to a coordinated traffic system by applying the advanced wireless communication technologies for road traffic scheduling. Toward…
Atomic momentum patterns with narrower interval
Baoguo Yang, Shengjie Jin, Xiangyu Dong +3
We studied the atomic momentum distribution for a superposition of Bloch states spreading in the lowest band of an optical lattice after the action of the standing wave pulse. By d…