| 2026 | ASPDAC | 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 |
| 2026 | ISCAS | Clipping Error Compensation for Accuracy Recovery and Throughput Improvement in Computing-in-Memory. | Yu-Chih Tsai, Hsuan-Hung Shen, Ren-Shuo Liu |
| 2025 | ICCD | DMP-BFP: Dynamic Mixed-Precision Block Floating-Point and Exponent-Guided Precision Adjustment. | Yu-Chih Tsai, Chia-Cheng Chang, Ren-Shuo Liu |
| 2023 | DATE | 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 |
| 2023 | ICCD | CNN Inference Accelerators with Adjustable Feature Map Compression Ratios. | Yu-Chih Tsai, Chung-Yueh Liu, Chia-Chun Wang, Tsen-Wei Hsu, Ren-Shuo Liu |
| 2023 | ICCD | 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 |
| 2022 | ICCAD | 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 |