@inproceedings{chang2024palu,title={Palu: Compressing KV-Cache with Low-Rank Projection},author={Chang, Chi-Chih and Lin, Wei-Cheng and Lin, Chien-Yu and Chen, Chong-Yan and Hu, Yu-Fang and Wang, Pei-Shuo and Huang, Ning-Chi and Ceze, Luis and Wu, Kai-Chiang},booktitle={Proceedings of International Conference on Learning Representations (ICLR)},year={2025},month=apr,}
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
@inproceedings{chiang2024quamba,title={Quamba: A Post-Training Quantization Recipe for Selective State Space Models},author={Chiang, Hung-Yueh and Chang, Chi-Chih and Frumkin, Natalia and Wu, Kai-Chiang and Marculescu, Diana},booktitle={Proceedings of International Conference on Learning Representations (ICLR)},year={2025},url={https://arxiv.org/abs/2410.13229},}
2024
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, and 1 more author
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024
@inproceedings{Huang_2024_CVPR,author={Huang, Ning-Chi and Chang, Chi-Chih and Lin, Wei-Cheng and Taka, Endri and Marculescu, Diana and Wu, Kai-Chiang},title={ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2024},pages={8006-8015},}
FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer
Chi-Chih Chang*, Yuan-Yao Sung*, Shixing Yu*, Ning-Chi Huang, Diana Marculescu, and 1 more author
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024
@inproceedings{Chang_2024_WACV,author={Chang, Chi-Chih and Sung, Yuan-Yao and Yu, Shixing and Huang, Ning-Chi and Marculescu, Diana and Wu, Kai-Chiang},title={FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer},booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},month=jan,year={2024},pages={2482-2491},}
Transformer and Its Variants for Identifying Good Dice in Bad Neighborhoods
Cheng-Che Lu, Chi-Chih Chang, Chia-Heng Yen, Shuo-Wen Chang, Ying-Hua Chu, and 2 more authors
In 2024 IEEE 42nd VLSI Test Symposium (VTS), Jan 2024
@inproceedings{10538654,author={Lu, Cheng-Che and Chang, Chi-Chih and Yen, Chia-Heng and Chang, Shuo-Wen and Chu, Ying-Hua and Wu, Kai-Chiang and Chao, Mango Chia-Tso},booktitle={2024 IEEE 42nd VLSI Test Symposium (VTS)},title={Transformer and Its Variants for Identifying Good Dice in Bad Neighborhoods},year={2024},volume={},number={},pages={1-7},keywords={Semiconductor device modeling;Deep learning;Linear regression;Very large scale integration;Multilayer perceptrons;Transformers;Manufacturing},}
2023
Q-YOLOP: Quantization-Aware You Only Look Once for Panoptic Driving Perception
Chi-Chih Chang, Wei-Cheng Lin, Pei-Shuo Wang, Sheng-Feng Yu, Yu-Chen Lu, and 2 more authors
In 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) , Jul 2023
@inproceedings{10222593,author={Chang, Chi-Chih and Lin, Wei-Cheng and Wang, Pei-Shuo and Yu, Sheng-Feng and Lu, Yu-Chen and Lin, Kuan-Cheng and Wu, Kai-Chiang},booktitle={ 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) },title={{ Q-YOLOP: Quantization-Aware You Only Look Once for Panoptic Driving Perception }},year={2023},volume={},issn={},pages={52-56},url={https://doi.ieeecomputersociety.org/10.1109/ICMEW59549.2023.00015},publisher={IEEE Computer Society},address={Los Alamitos, CA, USA},month=jul,}