Optimizing Stochastic Computing for Low Latency Inference of Convolutional Neural Networks. - Zhiyuan Chen 009; Yufei Ma 002; Zhongfeng Wang 001 (ICCAD, 2020)

Hybrid Stochastic-Binary Computing for Low-Latency and High-Precision Inference of CNNs. - Zhiyuan Chen 009; Yufei Ma 002; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

A A 22nm 0.43pJ/SOP Sparsity-Aware In-Memory Neuromorphic Computing System with Hybrid Spiking and Artificial Neural Network and Configurable Topology. - Ying Liu 069; Zhiyuan Chen 009; Zhixuan Wang; Wentao Zhao; Wei He; Jianfeng Zhu; Oijun Wang; Ning Zhang; Tianyu Jia; Yufei Ma 002; Le Ye; Ru Huang 001 (CICC, 2023)

An In-Memory Computing Accelerator with Reconfigurable Dataflow for Multi-Scale Vision Transformer with Hybrid Topology. - Zhiyuan Chen 009; Yufei Ma 002; Keyi Li; Yifan Jia 009; Guoxiang Li; Meng Wu 005; Tianyu Jia; Le Ye; Ru Huang 001 (DAC, 2024)

Sparsity-Aware In-Memory Neuromorphic Computing Unit With Configurable Topology of Hybrid Spiking and Artificial Neural Network. - Ying Liu 069; Zhiyuan Chen 009; Wentao Zhao; Tianhao Zhao; Tianyu Jia; Zhixuan Wang; Ru Huang 001; Le Ye; Yufei Ma 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition. - Zhiyuan Chen 009; Keyi Li; Yifan Jia 009; Le Ye; Yufei Ma 002 (CVPR, 2025)