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ORCIDKunming Shao
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2020 – today
- 2026
[j1]Jingyu He
, Xiaomeng Wang, Kunming Shao, Kwang-Ting Cheng, Chi-Ying Tsui:
Configurable Dataflow and Adaptive Mapping Optimization for Hybrid ReRAM and SRAM Compute-in-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(3): 1115-1128 (2026)- [c7]Kunming Shao, Liang Zhao, Jiangnan Yu, Zhipeng Liao, Xiaomeng Wang, Yi Zou, Tim Kwang-Ting Cheng, Chi-Ying Tsui:
DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models. DATE 2026: 1-7 - [i6]Kunming Shao, Liang Zhao, Jiangnan Yu, Zhipeng Liao, Xiaomeng Wang, Yi Zou, Tim Kwang-Ting Cheng, Chi-Ying Tsui:
DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models. CoRR abs/2601.06724 (2026) - [i5]Liang Zhao, Kunming Shao, Zhipeng Liao, Xijie Huang, Tim Kwang-Ting Cheng, Chi-Ying Tsui, Yi Zou:
Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction. CoRR abs/2602.05743 (2026) - 2025
- [c6]Fengshi Tian, Jinbo Chen, Kunming Shao, Zilu Liu, Jiakun Zheng, Hui Wu, Chaoming Fang, Xiaomeng Wang, Ziyang Shen, Pingcheng Dong, Yuan Yao, Xuliang Wang, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting Cheng:
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. CICC 2025: 1-3 - [c5]Kunming Shao, Fengshi Tian, Xiaomeng Wang, Jiakun Zheng, Jia Chen, Jingyu He, Hui Wu, Jinbo Chen, Xihao Guan, Yi Deng, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. DATE 2025: 1-7 - [c4]Liang Zhao, Kunming Shao, Fengshi Tian, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui, Yi Zou:
A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination. ISCAS 2025: 1-5 - [c3]Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation. ISLPED 2025: 1-7 - [i4]Liang Zhao, Kunming Shao, Fengshi Tian, Kwang-Ting Cheng, Chi-Ying Tsui, Yi Zou:
A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination. CoRR abs/2502.00687 (2025) - [i3]Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation. CoRR abs/2510.25278 (2025) - [i2]Zhipeng Liao, Kunming Shao, Jiangnan Yu, Liang Zhao, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui, Jie Yang, Mohamad Sawan:
A Memory-Efficient Retrieval Architecture for RAG-Enabled Wearable Medical LLMs-Agents. CoRR abs/2510.27107 (2025) - 2024
- [c2]Xiaomeng Wang, Jingyu He, Kunming Shao, Jiakun Zheng, Fengshi Tian, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells. ICCAD 2024: 213:1-213:9 - [i1]Kunming Shao, Fengshi Tian, Xiaomeng Wang, Jiakun Zheng, Jia Chen, Jingyu He, Hui Wu, Jinbo Chen, Xihao Guan, Yi Deng, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui:
SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. CoRR abs/2411.16806 (2024) - 2023
- [c1]Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng:
AutoDCIM: An Automated Digital CIM Compiler. DAC 2023: 1-6
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