QTN-VQC: An End-to-End Learning Framework for Quantum Neural Networks
- Jun Qi
- Chao-Han Huck Yang
- et al.
- 2021
- NeurIPS 2021
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8 results for Jun Qi
Theoretical error performance analysis for variational quantum circuit based functional regression
- Jun Qi
- Chao-Han Huck Yang
- et al.
- 2023
- npj Quantum Information
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2022
- ICASSP 2022
Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2021
- ICASSP 2021
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
- Chao Han Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Variational Quantum Circuits for Deep Reinforcement Learning
- Samuel Yen-Chi Chen
- Chao-Han Huck Yang
- et al.
- 2020
- IEEE Access
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
- Jun Qi
- Chao-Han Huck Yang
- et al.
- 2023
- IEEE/ACM TASLP