Chi-Chih Chang

According to our database, Chi-Chih Chang authored at least 16 papers between 2004 and 2025.

Collaborative distances:

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

2025

SplitReason: Learning To Offload Reasoning.

Yash Akhauri, Anthony Fei, Chi-Chih Chang, Ahmed F. AbouElhamayed, Yueying Li, Mohamed S. Abdelfattah

CoRR, April, 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, March, 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, March, 2025

TokenButler: Token Importance is Predictable.

Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah

CoRR, March, 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, February, 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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Diana Marculescu

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 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

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

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

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

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

Proceedings of the 42nd IEEE VLSI Test Symposium, 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

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

2023

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2004

Embedding information within dynamic visual patterns.

Wen-Hung Liao, Chi-Chih Chang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004