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Wilman Tsai
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2020 – today
- 2024
- [j1]Fan Zhang, Amitesh Sridharan, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Deliang Fan:
On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2393-2404 (2024) - [c5]Fan Zhang, Amitesh Sridharan, Wilman Tsai, Yiran Chen, Shan X. Wang, Deliang Fan:
Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. DAC 2024: 182:1-182:6 - 2023
- [c4]F. Huang, B. Saini, L. Wan, H. Lu, X. He, S. Qin, Wilman Tsai, A. Gruverman, Andrew C. Meng, H.-S. Philip Wong, Paul C. McIntyre, Simon S. Wong:
First Observation of Ultra-high Polarization (~ 108 μC/cm²) in Nanometer Scaled High Performance Ferroelectric HZO Capacitors with Mo Electrodes. VLSI Technology and Circuits 2023: 1-2 - 2022
- [c3]Yandong Luo, Piyush Kumar, Yu-Ching Liao, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Azad Naeemi, Shimeng Yu:
Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) Accelerators. IMW 2022: 1-4 - [c2]Y. K. Chang, P. J. Liao, S. H. Yeong, Y.-M. Lin, J. H. Lee, C. T. Lin, Z. Yu, Wilman Tsai, Paul C. McIntyre:
The Field-dependence Endurance Model and Its Mutual Effect in Hf-based Ferroelectrics. IRPS 2022: 3
2010 – 2019
- 2019
- [c1]Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan:
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI 2019: 197-202
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last updated on 2024-12-02 22:34 CET by the dblp team
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