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2020 – today
- 2026
[j1]Yuzong Chen
, Chi-Chih Chang, Xilai Dai, Ahmed F. AbouElhamayed, Marta Andronic, George A. Constantinides, Mohamed S. Abdelfattah:
Bit-Serial Acceleration of LLM Inference With Mixture-of-Datatype Quantization. IEEE Trans. Computers 75(2): 567-581 (2026)- [i18]Chi-Chih Chang, Siqi Zhu, Zhichen Zeng, Haibin Lin, Jiaxuan You, Mohamed S. Abdelfattah, Ziheng Jiang, Xuehai Qian:
SRT: Accelerating Reinforcement Learning via Speculative Rollout with Tree-Structured Cache. CoRR abs/2601.09083 (2026) - 2025
- [c10]Yu-Chen Lu, Chong-Yan Chen, Chi-Chih Chang, Yu-Fang Hu, Kai-Chiang Wu:
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference. EMNLP 2025: 14945-14955 - [c9]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. FPGA 2025: 159-171 - [c8]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:
Palu: KV-Cache Compression with Low-Rank Projection. ICLR 2025 - [c7]Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu:
Quamba: A Post-Training Quantization Recipe for Selective State Space Models. ICLR 2025 - [c6]Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu:
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models. ICML 2025 - [i17]Yuzong Chen, Xilai Dai, Chi-Chih Chang, Yash Akhauri, Mohamed S. Abdelfattah:
The Power of Negative Zero: Datatype Customization for Quantized Large Language Models. CoRR abs/2501.04052 (2025) - [i16]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. CoRR abs/2502.03763 (2025) - [i15]Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri, Chi-Chih Chang, Sameh Gobriel, J. Pablo Muñoz, Vui Seng Chua, Nilesh Jain, Mohamed S. Abdelfattah:
SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. CoRR abs/2502.12444 (2025) - [i14]Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah:
TokenButler: Token Importance is Predictable. CoRR abs/2503.07518 (2025) - [i13]Chi-Chih Chang, Chien-Yu Lin, Yash Akhauri, Wei-Cheng Lin, Kai-Chiang Wu, Luis Ceze, Mohamed S. Abdelfattah:
xKV: Cross-Layer SVD for KV-Cache Compression. CoRR abs/2503.18893 (2025) - [i12]Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu:
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models. CoRR abs/2503.22879 (2025) - [i11]Yash Akhauri, Anthony Fei, Chi-Chih Chang, Ahmed F. AbouElhamayed, Yueying Li, Mohamed S. Abdelfattah:
SplitReason: Learning To Offload Reasoning. CoRR abs/2504.16379 (2025) - [i10]Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang, Chi-Chih Chang, Ning-Chi Huang, Mohamed S. Abdelfattah, Kai-Chiang Wu:
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding. CoRR abs/2509.18344 (2025) - [i9]Yu-Chen Lu, Chong-Yan Chen, Chi-Chih Chang, Yu-Fang Hu, Kai-Chiang Wu:
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference. CoRR abs/2510.09332 (2025) - [i8]Yilong Zhao, Jiaming Tang, Kan Zhu, Zihao Ye, Chi-Chih Chang, Chaofan Lin, Jongseok Park, Guangxuan Xiao, Mohamed S. Abdelfattah, Mingyu Gao, Baris Kasikci, Song Han, Ion Stoica:
Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding. CoRR abs/2512.01278 (2025) - [i7]Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu, Chien-Yu Lin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu:
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs. CoRR abs/2512.03383 (2025) - 2024
- [c5]Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu:
ELSA: Exploiting Layer-wise N: M Sparsity for Vision Transformer Acceleration. CVPR Workshops 2024: 8006-8015 - [c4]Cheng-Che Lu, Chi-Chih Chang, Chia-Heng Yen, Shuo-Wen Chang, Ying-Hua Chu, Kai-Chiang Wu, Mango Chia-Tso Chao:
Transformer and Its Variants for Identifying Good Dice in Bad Neighborhoods. VTS 2024: 1-7 - [c3]Chi-Chih Chang, Yuan-Yao Sung, Shixing Yu, Ning-Chi Huang, Diana Marculescu, Kai-Chiang Wu:
FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. WACV 2024: 2470-2479 - [i6]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:
Palu: Compressing KV-Cache with Low-Rank Projection. CoRR abs/2407.21118 (2024) - [i5]Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu:
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration. CoRR abs/2409.09708 (2024) - [i4]Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu:
Quamba: A Post-Training Quantization Recipe for Selective State Space Models. CoRR abs/2410.13229 (2024) - [i3]Tien-Yu Chi, Hung-Yueh Chiang, Chi-Chih Chang, Ning-Chi Huang, Kai-Chiang Wu:
V"Mean"ba: Visual State Space Models only need 1 hidden dimension. CoRR abs/2412.16602 (2024) - 2023
- [c2]Chi-Chih Chang, Wei-Cheng Lin, Pei-Shuo Wang, Sheng-Feng Yu, Yu-Chen Lu, Kuan-Cheng Lin, Kai-Chiang Wu:
Q-YOLOP: Quantization-Aware You Only Look Once for Panoptic Driving Perception. ICME Workshops 2023: 52-56 - [i2]Chi-Chih Chang, Wei-Cheng Lin, Pei-Shuo Wang, Sheng-Feng Yu, Yu-Chen Lu, Kuan-Cheng Lin, Kai-Chiang Wu:
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception. CoRR abs/2307.04537 (2023) - [i1]Chi-Chih Chang, Yuan-Yao Sung, Shixing Yu, Ning-Chi Huang, Diana Marculescu, Kai-Chiang Wu:
FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. CoRR abs/2311.03912 (2023)
2000 – 2009
- 2004
- [c1]Wen-Hung Liao, Chi-Chih Chang:
Embedding information within dynamic visual patterns. ICME 2004: 895-898
Coauthor Index
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