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Kai Zhen
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2020 – today
- 2024
- [c12]Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang:
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. EMNLP 2024: 977-995 - [c11]Rupak Vignesh Swaminathan, Grant P. Strimel, Ariya Rastrow, Sri Harish Mallidi, Kai Zhen, Hieu Duy Nguyen, Nathan Susanj, Athanasios Mouchtaris:
Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy. ICASSP 2024: 12226-12230 - [c10]Yueming Zhu, Qing Xu, Kai Zhen, Runlin Zhang, Shunbo Wang:
Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness. ICME 2024: 1-6 - [i12]Yunxiang Jiang, Qing Xu, Kai Zhen, Yu Chen:
Quantitative Evaluation of driver's situation awareness in virtual driving through Eye tracking analysis. CoRR abs/2404.14817 (2024) - [i11]Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang:
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. CoRR abs/2406.18060 (2024) - 2023
- [c9]Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants. INTERSPEECH 2023: 2198-2202 - 2022
- [j2]Kai Zhen
, Jongmo Sung
Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE ACM Trans. Audio Speech Lang. Process. 30: 12-25 (2022) - [c8]Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow:
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. INTERSPEECH 2022: 3033-3037 - [c7]Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach. SLT 2022: 15-22 - [i10]Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow:
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. CoRR abs/2206.15408 (2022) - [i9]Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris:
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach. CoRR abs/2210.09188 (2022) - 2021
- [c6]Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim:
Source-Aware Neural Speech Coding for Noisy Speech Compression. ICASSP 2021: 706-710 - [c5]Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. ICASSP 2021: 6009-6013 - [i8]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. CoRR abs/2101.00054 (2021) - [i7]Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. CoRR abs/2102.04932 (2021) - [i6]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Scalable and Efficient Neural Speech Coding. CoRR abs/2103.14776 (2021) - 2020
- [j1]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. IEEE Signal Process. Lett. 27: 2159-2163 (2020) - [c4]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. ICASSP 2020: 361-365 - [c3]Kai Zhen, Mi Suk Lee, Minje Kim:
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. ICASSP 2020: 366-370 - [i5]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization. CoRR abs/2002.05604 (2020)
2010 – 2019
- 2019
- [c2]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. INTERSPEECH 2019: 3396-3400 - [i4]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding. CoRR abs/1906.07769 (2019) - [i3]Kai Zhen, Mi Suk Lee, Minje Kim:
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network. CoRR abs/1908.06468 (2019) - 2018
- [i2]Kai Zhen, Aswin Sivaraman, Jongmo Sung, Minje Kim:
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising. CoRR abs/1801.09774 (2018) - 2017
- [i1]Kai Zhen, Mridul Birla, David J. Crandall, Bingjing Zhang, Judy Qiu:
Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA. CoRR abs/1703.05243 (2017) - 2011
- [c1]Liang Bao, Qian Li, Kai Zhen, Wei Xiang, Ping Chen:
A functional flavor of service composition. FSKD 2011: 2344-2348
Coauthor Index
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