| 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 |
| 2026 | ISCAS | Adaptive Row-wise Attention Score Pruning and Compensation for Attention Acceleration. | Chia-Chun Wang, Yu-Lin Lin, Ren-Shuo Liu |
| 2026 | ISCAS | Reliability and Optimization for Neural Network Accelerators using Value-Aware Error-Marking Pattern with Sequential Access Error Correction. | Jun-Shen Wu, 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 |
| 2025 | ICCD | Access Frequency-Aware Storage Reduction for Deep Learning Recommendation Model. | Chia-Chun Wang, Chuan-Yao Lai, Ren-Shuo Liu |
| 2023 | DAC | Bit-Serial Cache: Exploiting Input Bit Vector Repetition to Accelerate Bit-Serial Inference. | Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | DAC | Morphable CIM: Improving Operation Intensity and Depthwise Capability for SRAM-CIM Architecture. | Yun-Chen Lo, 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 | 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 |
| 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 |
| 2023 | ICCD | FM-P2L: An Algorithm Hardware Co-design of Fixed-Point MSBs with Power-of-2 LSBs in CNN Accelerators. | Jun-Shen Wu, Ren-Shuo Liu |
| 2023 | ICLR | Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference. | Yun-Chen Lo, Tse-Kuang Lee, Ren-Shuo Liu |
| 2023 | MICRO | Bucket Getter: A Bucket-based Processing Engine for Low-bit Block Floating Point (BFP) DNNs. | Yun-Chen Lo, 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 |
| 2021 | ASPDAC | Value-Aware Error Detection and Correction for SRAM Buffers in Low-Bitwidth, Floating-Point CNN Accelerators. | Jun-Shen Wu, Chi-En Wang, Ren-Shuo Liu |
| 2019 | USENIX | OPTR: Order-Preserving Translation and Recovery Design for SSDs with a Standard Block Device Interface. | Yun-Sheng Chang, Ren-Shuo Liu |
| 2018 | ASPDAC | DI-SSD: Desymmetrized interconnection architecture and dynamic timing calibration for solid-state drives. | Jian-Hao Huang, Ren-Shuo Liu |
| 2017 | ICCAD | VST: A virtual stress testing framework for discovering bugs in SSD flash-translation layers. | Ren-Shuo Liu, Yun-Sheng Chang, Chih-Wen Hung |
| 2014 | ASPLOS | NVM duet: unified working memory and persistent store architecture. | Ren-Shuo Liu, De-Yu Shen, Chia-Lin Yang, Shun-Chih Yu, Cheng-Yuan Michael Wang |
| 2014 | DAC | EC-Cache: Exploiting Error Locality to Optimize LDPC in NAND Flash-Based SSDs. | Ren-Shuo Liu, Meng-Yen Chuang, Chia-Lin Yang, Cheng-Hsuan Li, Kin-Chu Ho, Hsiang-Pang Li |
| 2013 | DAC | DuraCache: a durable SSD cache using MLC NAND flash. | Ren-Shuo Liu, Chia-Lin Yang, Cheng-Hsuan Li, Geng-You Chen |
| 2012 | FAST | Optimizing NAND flash-based SSDs via retention relaxation. | Ren-Shuo Liu, Chia-Lin Yang, Wei Wu |