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2020 – today
- 2025
[j4]Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen:
Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain. IEEE Trans. Circuits Syst. I Regul. Pap. 72(8): 3971-3982 (2025)- [j3]Bokyung Kim, Shiyu Li, Brady Taylor, Yiran Chen:
Efficient and Robust Edge AI: Software, Hardware, and the Co-design. ACM Trans. Embed. Comput. Syst. 24(3): 43:1-43:34 (2025) - [c9]Abdulkarim Alorf, Brady Taylor, Yiran Chen:
Effect of Capacitor Mismatch Nonlinearity on Inference Accuracy in Analog Compute-in-Memory Architectures. ISCAS 2025: 1-5 - [c8]Tergel Molom-Ochir, Brady Taylor, Hai (Helen) Li, Yiran Chen:
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs. ISCAS 2025: 1-5 - [i4]Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen:
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. CoRR abs/2502.01770 (2025) - 2024
- [c7]Brady Taylor, Xiaoxuan Yang, Hai Li:
Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation. AICAS 2024: 388-392 - [c6]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric C. Yeats, Yiran Chen, Hai Helen Li:
MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier. BioCAS 2024: 1-5 - [c5]Qilin Zheng
, Ziru Li, Jonathan Ku, Yitu Wang, Brady Taylor, Deliang Fan, Yiran Chen:
Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. DAC 2024: 313:1-313:6 - [i3]Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen:
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs. CoRR abs/2407.11071 (2024) - 2023
- [c4]Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. MWSCAS 2023: 733-737 - 2022
- [j2]Xiaoxuan Yang, Brady Taylor, Ailong Wu, Yiran Chen, Leon O. Chua:
Research Progress on Memristor: From Synapses to Computing Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 1845-1857 (2022) - [j1]Brady Taylor, Qilin Zheng, Ziru Li, Shiyu Li, Yiran Chen:
Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2598-2603 (2022) - [c3]Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li:
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. AICAS 2022: 283-286 - [i2]Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. CoRR abs/2212.14337 (2022) - 2021
- [c2]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC 2021: 361-366 - [c1]Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li:
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS 2021: 1-5 - [i1]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR abs/2104.10712 (2021)
Coauthor Index
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