Hung-Yueh Chiang

According to our database, Hung-Yueh Chiang authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DARE: Diffusion Language Model Activation Reuse for Efficient Inference.

Natalia Frumkin, Bokun Wang, Hung-Yueh Chiang, Chi-Chih Chang, Mohamed S. Abdelfattah, Diana Marculescu

CoRR, May, 2026

SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping.

Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng, Pei-Shuo Wang, Yu-Fang Hu, Liang Hung-Chun, Hung-Yueh Chiang, Kai-Chiang Wu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ELANA: A Simple Energy and Latency Analyzer for LLMs.

Hung-Yueh Chiang, Bokun Wang, Diana Marculescu

CoRR, December, 2025

UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs.

Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu, Chien-Yu Lin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu

CoRR, December, 2025

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models.

Tien-Yu Chi, Hung-Yueh Chiang, Diana Marculescu, Kai-Chiang Wu

CoRR, July, 2025

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images.

Dennis Menn, Feng Liang, Hung-Yueh Chiang, Diana Marculescu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search.

Hung-Yueh Chiang, Diana Marculescu

CoRR, 2024

Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning.

Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Efficient Low-rank Backpropagation for Vision Transformer Adaptation.

Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MobileTL: On-Device Transfer Learning with Inverted Residual Blocks.

Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021