Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. - Haowen Fang; Brady Taylor; Ziru Li; Zaidao Mei; Hai Helen Li; Qinru Qiu (DAC, 2021)

1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. - Brady Taylor; Amar Shrestha; Qinru Qiu; Hai Helen Li (ISCAS, 2021)

CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. - Brady Taylor; Nicky Ramos; Eric C. Yeats; Hai Li 001 (AICAS, 2022)

Research Progress on Memristor: From Synapses to Computing Systems. - Xiaoxuan Yang; Brady Taylor; Ailong Wu; Yiran Chen 001; Leon O. Chua (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. - Brady Taylor; Qilin Zheng; Ziru Li; Shiyu Li 001; Yiran Chen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Biologically Plausible Learning on Neuromorphic Hardware Architectures. - Christopher Wolters; Brady Taylor; Edward Hanson; Xiaoxuan Yang; Ulf Schlichtmann; Yiran Chen 001 (MWSCAS, 2023)

Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation. - Brady Taylor; Xiaoxuan Yang; Hai Li 001 (AICAS, 2024)

MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier. - Bokyung Kim; Qijia Huang; Brady Taylor; Qilin Zheng; Jonathan Ku; Nicky Ramos; Eric C. Yeats; Yiran Chen 001; Hai Helen Li (BioCAS, 2024)

Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. - Qilin Zheng; Ziru Li; Jonathan Ku; Yitu Wang; Brady Taylor; Deliang Fan; Yiran Chen 001 (DAC, 2024)

MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs. - Tergel Molom-Ochir; Brady Taylor; Hai Li 001; Yiran Chen 001 (CoRR, 2024)

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. - Mark Horton; Tergel Molom-Ochir; Peter Liu; Bhavna Gopal; Chiyue Wei; Cong Guo 003; Brady Taylor; Deliang Fan; Shan X. Wang; Hai Li 001; Yiran Chen 001 (CoRR, 2025)