Chia-Chun Wang

According to our database, Chia-Chun Wang authored at least 12 papers between 2016 and 2026.

Collaborative distances:

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

2026

Adaptive Row-wise Attention Score Pruning and Compensation for Attention Acceleration.

Chia-Chun Wang, Yu-Lin Lin, Ren-Shuo Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Input Reuse, Weight-Stationary Dataflow and Mapping Strategy for Depthwise Convolution in Computing-in-Memory Neural Network Accelerators.

Chia-Chun Wang, Yu-Chih Tsai, Ren-Shuo Liu

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Access Frequency-Aware Storage Reduction for Deep Learning Recommendation Model.

Chia-Chun Wang, Chuan-Yao Lai, Ren-Shuo Liu

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

2024

ISSA: Architecting CNN Accelerators Using Input-Skippable, Set-Associative Computing-in-Memory.

Yun-Chen Lo, Jun-Shen Wu, Chia-Chun Wang, Yu-Chih Tsai, Chih-Chen Yeh, Wen-Chien Ting, Ren-Shuo Liu

IEEE Trans. Computers, September, 2024

A Note on the SNOVA Security.

Lih-Chung Wang, Chun-Yen Chou, Jintai Ding, Yen-Liang Kuan, Jan Adriaan Leegwater, Ming-Siou Li, Bo-Shu Tseng, Po-En Tseng, Chia-Chun Wang

IACR Cryptol. ePrint Arch., 2024

Comparative analysis of machine learning algorithms for Alzheimer's disease classification using EEG signals and genetic information.

Wei-Yang Yu, Ting-Hsuan Sun, Kai-Cheng Hsu, Chia-Chun Wang, Shang-Yu Chien, Chon-Haw Tsai, Yu-Wan Yang

Comput. Biol. Medicine, 2024

2023

Exploiting and Enhancing Computation Latency Variability for High-Performance Time-Domain Computing-in-Memory Neural Network Accelerators.

Chia-Chun Wang, Yun-Chen Lo, Jun-Shen Wu, Yu-Chih Tsai, Chia-Cheng Chang, Tsen-Wei Hsu, Min-Wei Chu, Chuan-Yao Lai, Ren-Shuo Liu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

CNN Inference Accelerators with Adjustable Feature Map Compression Ratios.

Yu-Chih Tsai, Chung-Yueh Liu, Chia-Chun Wang, Tsen-Wei Hsu, Ren-Shuo Liu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

BICEP: Exploiting Bitline Inversion for Efficient Operation-Unit-Based Compute-in-Memory Architecture: No Retraining Needed!

Yun-Chen Lo, Chia-Chun Wang, Ren-Shuo Liu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Built-in Self-Test and Built-in Self-Repair Strategies Without Golden Signature for Computing in Memory.

Yu-Chih Tsai, Wen-Chien Ting, Chia-Chun Wang, Chia-Cheng Chang, Ren-Shuo Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

ISSA: Input-Skippable, Set-Associative Computing-in-Memory (SA-CIM) Architecture for Neural Network Accelerators.

Yun-Chen Lo, Chih-Chen Yeh, Jun-Shen Wu, Chia-Chun Wang, Yu-Chih Tsai, Wen-Chien Ting, Ren-Shuo Liu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2016

Wireless sensors for intelligent ball screws monitoring.

Yen Chih Chang, Chia-Chun Wang, Wen-De Jian, Chia-Chan Chang, Guo-Hua Feng, Huang-Chen Lee

Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2016