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Jun Qi
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 13
Top Topics
Tensor Decomposition
Multiple Kernel
Speech Processing
Student Learning
Top Venues
CoRR
ICASSP
ISCSLP
IEEE Trans. Wirel. Commun.
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Publications
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Xianyan Fu
,
Xiao-Lei Zhang
,
Chao-Han Huck Yang
,
Jun Qi
Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition.
ICASSP
(2024)
Jun Qi
,
Xiao-Lei Zhang
,
Javier Tejedor
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent.
CoRR
(2023)
Jun Qi
,
Chao-Han Huck Yang
,
Pin-Yu Chen
,
Javier Tejedor
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
IEEE ACM Trans. Audio Speech Lang. Process.
31 (2023)
Jun Qi
,
Chao-Han Huck Yang
,
Pin-Yu Chen
,
Min-Hsiu Hsieh
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits.
CoRR
(2023)
Muhammad Shahmeer Omar
,
Jun Qi
,
Xiaoli Ma
Mitigating Clipping Distortion in Multicarrier Transmissions Using Tensor-Train Deep Neural Networks.
IEEE Trans. Wirel. Commun.
22 (3) (2023)
Chao-Han Huck Yang
,
Jun Qi
,
Samuel Yen-Chi Chen
,
Yu Tsao
,
Pin-Yu Chen
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
CoRR
(2022)
Jun Qi
,
Javier Tejedor
Exploiting Hybrid Models of Tensor-Train Networks For Spoken Command Recognition.
ICASSP
(2022)
Chao-Han Huck Yang
,
Jun Qi
,
Sabato Marco Siniscalchi
,
Chin-Hui Lee
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition.
ISCSLP
(2022)
Chao-Han Huck Yang
,
Jun Qi
,
Sabato Marco Siniscalchi
,
Chin-Hui Lee
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition.
CoRR
(2022)
Jun Qi
,
Chao-Han Huck Yang
,
Pin-Yu Chen
,
Min-Hsiu Hsieh
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression.
CoRR
(2022)
Jun Qi
,
Chao-Han Huck Yang
,
Pin-Yu Chen
,
Javier Tejedor
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
CoRR
(2022)
Chao-Han Huck Yang
,
Jun Qi
,
Samuel Yen-Chi Chen
,
Yu Tsao
,
Pin-Yu Chen
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
ICASSP
(2022)
Jun Qi
,
Javier Tejedor
Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks.
ICASSP
(2022)