AutoDCIM: An Automated Digital CIM Compiler. - Jia Chen; Fengbin Tu; Kunming Shao; Fengshi Tian; Xiao Huo; Chi-Ying Tsui; Kwang-Ting Cheng (DAC, 2023)

ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells. - Xiaomeng Wang; Jingyu He; Kunming Shao; Jiakun Zheng; Fengshi Tian; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui (ICCAD, 2024)

E-NPU: A 34 126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables. - Fengshi Tian; Jinbo Chen; Kunming Shao; Zilu Liu; Jiakun Zheng; Hui Wu 010; Chaoming Fang; Xiaomeng Wang; Ziyang Shen; Pingcheng Dong; Yuan Yao; Xuliang Wang; et al. (CICC, 2025)

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. - Kunming Shao; Fengshi Tian; Xiaomeng Wang; Jiakun Zheng; Jia Chen; Jingyu He; Hui Wu 010; Jinbo Chen; Xihao Guan; Yi Deng; Fengbin Tu; Jie Yang 033; et al. (DATE, 2025)

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination. - Liang Zhao; Kunming Shao; Fengshi Tian; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui; Yi Zou (ISCAS, 2025)