Selected Previous Publications

Journal and conference papers from ISLAB before 2026

Robust Training to Secure Automated AI Accelerator Generation Against Malicious Platforms

C. Guo and Y. Shi


Bennet’s Doubler-Extended Converter With Optimized Bias for Enhanced Energy Extraction From Triboelectric Nanogenerators

Y. Su and Y. Shi


DSE-Based Hardware Trojan Attack for Neural Network Accelerators on FPGAs

C. Guo, M. Yanagisawa, and Y. Shi


A Novel Security Threat Model for Automated AI Accelerator Generation Platforms

C. Guo and Y. Shi


An FPGA-Based YOLOv6 Accelerator for High-Throughput and
Energy-Efficient Object Detection

X. Sha, M. Yanagisawa, and Y. Shi


An Efficient Multiplier-Less Processing Element on Power-of-2 Dictionary-Based Data Quantization

J. Li, M. Yanagisawa, and Y. Shi


A Dual-Output Rectifier-Based Self-Powered Interface Circuit for Triboelectric Nanogenerators

Y. Su, M. Yanagisawa, and Y. Shi


Dataflow Optimization through Exploring Single-Layer and Inter-Layer Data Reuse in Memory-Constrained Accelerators

J. Ye, M. Yanagisawa, and Y. Shi


Power-Efficient Deep Convolutional Neural Network Design Through Zero-Gating PEs and Partial-Sum Reuse Centric Dataflow

L. Ye, J. Ye, M. Yanagisawa, and Y. Shi


Transition Detector-Based Radiation-Hardened Latch for Both Single- and Multiple-Node Upsets

S. Tajima, M. Yanagisawa, and Y. Shi


Robust Secure Scan Design Against Scan-Based Differential Cryptanalysis

Y. Shi, N. Togawa, M. Yanagisawa, and T. Ohtsuki


Improved Launch for Higher TDF Coverage With Fewer Test Patterns

Y. Shi, N. Togawa, M. Yanagisawa, and T. Ohtsuki