Jun Qi
Orcid: 0000-0001-7533-2630Affiliations:
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, USA (PhD 2022)
- Researcher at Microsoft Research, Deep Learning Technology Center
- Tsinghua University, Department of Electronic Engineering, China (former)
- University of Washington, Seattle, WA, USA (former)
According to our database1,
Jun Qi
authored at least 32 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Mitigating Clipping Distortion in Multicarrier Transmissions Using Tensor-Train Deep Neural Networks.
IEEE Trans. Wirel. Commun., March, 2023
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., 2023
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits.
CoRR, 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Theoretical Error Performance Analysis for Deep Neural Network Based Regression Functional Approximation.
PhD thesis, 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression.
CoRR, 2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
Proceedings of the IEEE International Conference on Acoustics, 2022
Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Designing Tensor-Train Deep Neural Networks For Time-Varying MIMO Channel Estimation.
IEEE J. Sel. Top. Signal Process., 2021
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression.
IEEE Trans. Signal Process., 2020
IEEE Signal Process. Lett., 2020
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding.
CoRR, 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement.
Proceedings of the Interspeech 2020, 2020
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
2019
A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
2018
Distributed Submodular Maximization for Large Vocabulary Continuous Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Deep multi-view representation learning for multi-modal features of the schizophrenia and schizo-affective disorder.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Improving bottleneck features for automatic speech recognition using gammatone-based cochleagram and sparsity regularization.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015
2013
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Proceedings of the INTERSPEECH 2013, 2013