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Jun Qi
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Variational quantum circuits for deep reinforcement learning
SYC Chen, CHH Yang, J Qi, PY Chen, X Ma, HS Goan
IEEE access 8, 141007-141024, 2020
2812020
On mean absolute error for deep neural network based vector-to-vector regression
J Qi, J Du, SM Siniscalchi, X Ma, CH Lee
IEEE Signal Processing Letters 27, 1485-1489, 2020
2532020
Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition
CHH Yang, J Qi, SYC Chen, PY Chen, SM Siniscalchi, X Ma, CH Lee
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
1462021
Auditory Features based on Gammatone Filters for Robust Speech Recognition
J Qi, D Wang, Y Jiang, R Liu
IEEE International Symposium on Circuits and Systems (ISCAS), 2013
912013
Characterizing speech adversarial examples using self-attention u-net enhancement
CH Yang, J Qi, PY Chen, X Ma, CH Lee
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
622020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression
J Qi, J Du, SM Siniscalchi, X Ma, CH Lee
IEEE Transactions on Signal Processing, 2020
502020
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
CHH Yang, J Qi, PY Chen, Y Ouyang, ITD Hung, CH Lee, X Ma
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
372020
A theory on deep neural network based vector-to-vector regression with an illustration of its expressive power in speech enhancement
J Qi, J Du, SM Siniscalchi, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
372019
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
J Qi, J Tejedor
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
362022
Qtn-vqc: An end-to-end learning framework for quantum neural networks
J Qi, CH Yang, PY Chen
Physica Scripta 99 (1), 015111, 2023
332023
Bottleneck Features based on Gamma-tone Frequency Cepstral Coefficients
J Qi, D Wang, J Xu, J Tejedor
Interspeech, 2013
322013
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
CHH Yang, J Qi, SYC Chen, Y Tsao, PY Chen
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
312022
Theoretical error performance analysis for variational quantum circuit based functional regression
J Qi, CHH Yang, PY Chen, MH Hsieh
npj Quantum Information 9 (1), 4, 2023
232023
Deep multi-view representation learning for multi-modal features of the schizophrenia and schizo-affective disorder
J Qi, J Tejedor
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
232016
Tensor-to-vector regression for multi-channel speech enhancement based on tensor-train network
J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
22*2020
Designing tensor-train deep neural networks for time-varying MIMO channel estimation
J Zhang, X Ma, J Qi, S Jin
IEEE Journal of Selected Topics in Signal Processing 15 (3), 759-773, 2021
192021
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
J Qi, CHH Yang, PY Chen, J Tejedor
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 633-642, 2023
142023
Subspace Models for Bottleneck Features
J Qi, D Wang, J Tejedor
Interspeech, 2013
142013
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
J Qi, H Hu, Y Wang, CHH Yang, SM Siniscalchi, CH Lee
Interspeech, 2020
122020
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition
J Qi, CHH Yang, J Tejedor
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
8*2020
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Articles 1–20