AIConfPaper
← Search

Xiaoli Ma

6 accepted papers

2021

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma +1
ICASSP 2021accepted

We propose a novel decentralized feature extraction approach in federated learning to address privacy-preservation issues for speech recognition. It is built upon a quantum convolutional neural network (QCNN) composed of a quantum circuit encoder for feature extraction, and a recurrent neural networ…

Cited by 0Source ↗Scholar ↗
2020

Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
ICASSP 2020accepted

Recent studies have highlighted adversarial examples as ubiquitous threats to the deep neural network (DNN) based speech recognition systems. In this work, we present a U-Net based attention model, UNet <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">At…

Cited by 0Source ↗Scholar ↗
2020

Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning

Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee +1
ICASSP 2020accepted

Recent deep neural networks based techniques, especially those equipped with the ability of self-adaptation in the system level such as deep reinforcement learning (DRL), are shown to possess many advantages of optimizing robot learning systems (e.g., autonomous navigation and continuous robot arm c…

Cited by 0Source ↗Scholar ↗
2016

Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection

Qingsong Wen, Xiaoli Ma
ICASSP 2016accepted

Effective Lenstra-Lenstra-Lovász (ELLL) algorithm is a common low-complexity lattice reduction (LR) technique adopted in LR-aided successive interference cancellation (SIC) multiple-input multiple-output (MIMO) detectors. However, the original ELLL algorithm is undesirable for hardware implementatio…

Cited by 0Source ↗Scholar ↗