Kai Zhen

35 papers A* 3A 4Misc 5Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models.
EMNLP
Zhen Zhang, Yifan Yang, Kai Zhen, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025 J jnl
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models.
CoRR
Zhen Zhang, Yifan Yang, Kai Zhen, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025 A* conf
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
EMNLP
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025 J jnl
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
CoRR
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025 — conf
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models.
EMNLP (Findings)
Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025 J jnl
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models.
CoRR
Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang
2025 — conf
Wanda++: Pruning Large Language Models via Regional Gradients.
ACL (Findings)
Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2025 J jnl
Wanda++: Pruning Large Language Models via Regional Gradients.
CoRR
Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2024 A* conf
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning.
EMNLP
Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang
2024 J jnl
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning.
CoRR
Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang
2024 — conf
Blind Spot Detection System Merging Scene Data Analysis.
CIPAE
Kai Li, Lingming Kong, Xuebin Shao, Cheng Zhang, Ruixuan Xi, Kai Zhen, Yunpeng Qi
2024 Misc conf
Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy.
ICASSP
Rupak Vignesh Swaminathan, Grant P. Strimel, Ariya Rastrow, Sri Harish Mallidi, Kai Zhen, Hieu Duy Nguyen, Nathan Susanj, Athanasios Mouchtaris
2024 A conf
Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness.
ICME
Yueming Zhu, Qing Xu, Kai Zhen, Runlin Zhang, Shunbo Wang
2024 J jnl
Quantitative Evaluation of driver's situation awareness in virtual driving through Eye tracking analysis.
CoRR
Yunxiang Jiang, Qing Xu, Kai Zhen, Yu Chen
2023 A conf
Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants.
INTERSPEECH
Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
2022 J jnl
Scalable and Efficient Neural Speech Coding: A Hybrid Design.
IEEE ACM Trans. Audio Speech Lang. Process.
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
2022 A conf
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition.
INTERSPEECH
Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow
2022 J jnl
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition.
CoRR
Kai Zhen, Hieu Duy Nguyen, Raviteja Chinta, Nathan Susanj, Athanasios Mouchtaris, Tariq Afzal, Ariya Rastrow
2022 — conf
Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach.
SLT
Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
2022 J jnl
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach.
CoRR
Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris
2021 J jnl
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
CoRR
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
2021 J jnl
Scalable and Efficient Neural Speech Coding.
CoRR
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
2021 Misc conf
Source-Aware Neural Speech Coding for Noisy Speech Compression.
ICASSP
Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim
2021 Misc conf
Sparsification via Compressed Sensing for Automatic Speech Recognition.
ICASSP
Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow
2021 J jnl
Sparsification via Compressed Sensing for Automatic Speech Recognition.
CoRR
Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow
2020 Misc conf
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement.
ICASSP
Kai Zhen, Mi Suk Lee, Minje Kim
2020 J jnl
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization.
CoRR
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
2020 Misc conf
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization.
ICASSP
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
2020 J jnl
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
IEEE Signal Process. Lett.
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
2019 A conf
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding.
INTERSPEECH
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
2019 J jnl
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding.
CoRR
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
2019 J jnl
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network.
CoRR
Kai Zhen, Mi Suk Lee, Minje Kim
2018 J jnl
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising.
CoRR
Kai Zhen, Aswin Sivaraman, Jongmo Sung, Minje Kim
2017 J jnl
Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA.
CoRR
Kai Zhen, Mridul Birla, David J. Crandall, Bingjing Zhang, Judy Qiu
2011 — conf
A functional flavor of service composition.
FSKD
Liang Bao, Qian Li, Kai Zhen, Wei Xiang, Ping Chen