Hung-Yueh Chiang

20 papers A* 5Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping.
AAAI
Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng, Pei-Shuo Wang, Yu-Fang Hu, Liang Hung-Chun, Hung-Yueh Chiang, Kai-Chiang Wu
2025 J jnl
ELANA: A Simple Energy and Latency Analyzer for LLMs.
CoRR
Hung-Yueh Chiang, Bokun Wang, Diana Marculescu
2025 A* conf
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models.
ICML
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu
2025 J jnl
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models.
CoRR
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu
2025 A* conf
Quamba: A Post-Training Quantization Recipe for Selective State Space Models.
ICLR
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu
2025 J jnl
QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models.
CoRR
Tien-Yu Chi, Hung-Yueh Chiang, Diana Marculescu, Kai-Chiang Wu
2025 — conf
Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images.
WACV (Workshops)
Dennis Menn, Feng Liang, Hung-Yueh Chiang, Diana Marculescu
2025 J jnl
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping.
CoRR
Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng, Pei-Shuo Wang, Yu-Fang Hu, Liang Hung-Chun, Hung-Yueh Chiang, Kai-Chiang Wu
2025 J jnl
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs.
CoRR
Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu, Chien-Yu Lin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu
2024 — conf
Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning.
CVPR Workshops
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
2024 J jnl
Quamba: A Post-Training Quantization Recipe for Selective State Space Models.
CoRR
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu
2024 J jnl
SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search.
CoRR
Hung-Yueh Chiang, Diana Marculescu
2024 J jnl
Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images.
CoRR
Dennis Menn, Feng Liang, Hung-Yueh Chiang, Diana Marculescu
2024 J jnl
V"Mean"ba: Visual State Space Models only need 1 hidden dimension.
CoRR
Tien-Yu Chi, Hung-Yueh Chiang, Chi-Chih Chang, Ning-Chi Huang, Kai-Chiang Wu
2023 A* conf
Efficient Low-rank Backpropagation for Vision Transformer Adaptation.
NeurIPS
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
2023 J jnl
Efficient Low-rank Backpropagation for Vision Transformer Adaptation.
CoRR
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
2023 A* conf
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks.
AAAI
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
2022 J jnl
MobileTL: On-device Transfer Learning with Inverted Residual Blocks.
CoRR
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
2021 — conf
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search.
ICCVW
Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu
2021 J jnl
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search.
CoRR
Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu