Embedding information within dynamic visual patterns. - Wen-Hung Liao; Chi-Chih Chang (ICME, 2004)

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; Kuan-Cheng Lin; Kai-Chiang Wu (ICME Workshops, 2023)

ELSA: Exploiting Layer-wise N: M Sparsity for Vision Transformer Acceleration. - Ning-Chi Huang; Chi-Chih Chang; Wei-Cheng Lin; Endri Taka; Diana Marculescu; Kai-Chiang Wu (CVPR Workshops, 2024)

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; Kai-Chiang Wu; Mango Chia-Tso Chao (VTS, 2024)

FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. - Chi-Chih Chang; Yuan-Yao Sung; Shixing Yu; Ning-Chi Huang; Diana Marculescu; Kai-Chiang Wu (WACV, 2024)

Palu: Compressing KV-Cache with Low-Rank Projection. - Chi-Chih Chang; Wei-Cheng Lin; Chien-Yu Lin; Chong-Yan Chen; Yu-Fang Hu; Pei-Shuo Wang; Ning-Chi Huang; Luis Ceze; Kai-Chiang Wu (CoRR, 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; Kai-Chiang Wu (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)

Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. - Endri Taka; Ning-Chi Huang; Chi-Chih Chang; Kai-Chiang Wu; Aman Arora 001; Diana Marculescu (FPGA, 2025)

Palu: KV-Cache Compression with Low-Rank Projection. - Chi-Chih Chang; Wei-Cheng Lin; Chien-Yu Lin; Chong-Yan Chen; Yu-Fang Hu; Pei-Shuo Wang; Ning-Chi Huang; Luis Ceze; Mohamed S. Abdelfattah; Kai-Chiang Wu (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 (ICLR, 2025)

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. - Ahmed F. AbouElhamayed; Jordan Dotzel; Yash Akhauri; Chi-Chih Chang; Sameh Gobriel; J. Pablo Muñoz; Vui Seng Chua; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

TokenButler: Token Importance is Predictable. - Yash Akhauri; Ahmed F. AbouElhamayed; Yifei Gao; Chi-Chih Chang; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

xKV: Cross-Layer SVD for KV-Cache Compression. - Chi-Chih Chang; Chien-Yu Lin; Yash Akhauri; Wei-Cheng Lin; Kai-Chiang Wu; Luis Ceze; Mohamed S. Abdelfattah (CoRR, 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)

SplitReason: Learning To Offload Reasoning. - Yash Akhauri; Anthony Fei; Chi-Chih Chang; Ahmed F. AbouElhamayed; Yueying Li; Mohamed S. Abdelfattah (CoRR, 2025)