Chiang, Hung-Yueh

7 publications

ICML 2025 Quamba2: A Robust and Scalable Post-Training Quantization Framework for Selective State Space Models Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu

ICLR 2025 Quamba: A Post-Training Quantization Recipe for Selective State Space Models Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu

CVPRW 2024 Cache and Reuse: Rethinking the Efficiency of On-Device Transfer Learning Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

ICLRW 2024 SCAN-Edge: Finding MobileNet-Speed Hybrid Networks for Commodity Edge Devices Hung-Yueh Chiang, Diana Marculescu

NeurIPS 2023 Efficient Low-Rank Backpropagation for Vision Transformer Adaptation Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

AAAI 2023 MobileTL: On-Device Transfer Learning with Inverted Residual Blocks Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu

ICCVW 2021 FOX-NAS: Fast, On-Device and Explainable Neural Architecture Search Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu