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 (ICCVW, 2021)

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

Efficient Low-rank Backpropagation for Vision Transformer Adaptation. - Yuedong Yang; Hung-Yueh Chiang; Guihong Li; Diana Marculescu; Radu Marculescu (NeurIPS, 2023)

Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning. - Yuedong Yang; Hung-Yueh Chiang; Guihong Li; Diana Marculescu; Radu Marculescu (CVPR Workshops, 2024)

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search. - Hung-Yueh Chiang; Diana Marculescu (CoRR, 2024)

V"Mean"ba: Visual State Space Models only need 1 hidden dimension. - Tien-Yu Chi; Hung-Yueh Chiang; Chi-Chih Chang; Ning-Chi Huang; Kai-Chiang Wu (CoRR, 2024)

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

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images. - Dennis Menn; Feng Liang; Hung-Yueh Chiang; Diana Marculescu (WACV (Workshops), 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 (CoRR, 2025)

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models. - Tien-Yu Chi; Hung-Yueh Chiang; Diana Marculescu; Kai-Chiang Wu (CoRR, 2025)