Kai Zhen
Orcid: 0000-0003-4133-8158
According to our database1,
Kai Zhen
authored at least 20 papers
between 2011 and 2024.
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Bibliography
2024
Quantitative Evaluation of driver's situation awareness in virtual driving through Eye tracking analysis.
CoRR, 2024
Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy.
Proceedings of the IEEE International Conference on Acoustics, 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the International Conference on Computers, 2024
2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
IEEE Signal Process. Lett., 2020
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network.
CoRR, 2019
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising.
CoRR, 2018
2017
Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA.
CoRR, 2017
2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011