Shihui Yin
Arizona State University
H-index: 19
North America-United States
Top articles of Shihui Yin
Circuits and methods for in-memory computing
2023/10/10
Static random-access memory for deep neural networks
2023/8/15
Smart hardware security engine using biometric features and hardware-specific features
2023/7/11
Neuromorphic Accelerator for Deep Spiking Neural Networks with NVM Crossbar Arrays
2022/12/11
Efficient continual learning at the edge with progressive segmented training
Neuromorphic Computing and Engineering
2022/10/28
PIMCA: A programmable in-memory computing accelerator for energy-efficient DNN inference
IEEE Journal of Solid-State Circuits
2022/10/19
Hardware noise-aware training for improving accuracy of in-memory computing-based deep neural network hardware
2022/10/6
Programmable in-memory computing accelerator for low-precision deep neural network inference
2022/10/6
Compact Modeling of IGZO-based CAA-FETs with Time-zero-instability and BTI Impact on Device and Capacitor-less DRAM Retention Reliability
2022/6/12
Vertical Channel-All-Around (CAA) IGZO FET under 50 nm CD with High Read Current of 32.8 μA/μm (Vth + 1 V), Well-performed Thermal Stability up to 120 ℃ for …
2022/6/12
27‐3: Invited Paper: High‐Performance Sub‐50nm Channel Length 3D Monolithically Stackable Vertical IGZO TFTs for Active‐Matrix Application
SID Symposium Digest of Technical Papers
2022/6
Novel Vertical Channel-All-Around (CAA) In-Ga-Zn-O FET for 2T0C-DRAM With High Density Beyond 4F2 by Monolithic Stacking
IEEE Transactions on Electron Devices
2022/3/10
Improving the accuracy and robustness of rram-based in-memory computing against rram hardware noise and adversarial attacks
Semiconductor Science and Technology
2022/1/13
Leveraging noise and aggressive quantization of in-memory computing for robust dnn hardware against adversarial input and weight attacks
2021/12/5
PIMCA: A 3.4-Mb programmable in-memory computing accelerator in 28nm for on-chip DNN inference
2021/6/13
Characterization and mitigation of relaxation effects on multi-level RRAM based in-memory computing
2021/3/21
Modeling and optimization of SRAM-based in-memory computing hardware design
2021/2/1
Efficient and modularized training on FPGA for real-time applications
2021/1/7
Improving DNN hardware accuracy by in-memory computing noise injection
IEEE Design & Test
2021/12/27
Electrocardiographic biometric authentication
2020/11/10
