PUBLICATIONS
Research Publications
Journal and conference papers from ISLAB in 2026
2026
SuperMETER: An Efficient Superpixel-Based Architecture for Monocular Depth Estimation on Resource-Constrained IoT Platforms
W. Wang, Y. Li, C. Guo, Y. Wu, and Y. Shi
IEEE Internet of Things Journal (IF: 8.7), 2026.
Artificial Intelligence
Depth Estimation
FPGA
An FPGA-Based YOLO Accelerator Design for High-Throughput and Energy-Efficient Object Detection
X. Sha, Z. Song, S. Lin, J. Lai, and Y. Shi
International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2026.
Object Detection
YOLO
FPGA
DOI→
A Lightweight MobileViT-Based Model for Real-Time Micro-Expression Recognition on Resource-Constrained Edge Devices
X. Sha, K. Nishikawa, and Y. Shi
International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2026.
Micro-Expression Recognition
Mobile-ViT
Edge Device
DOI→
A Low-Latency and Energy-Efficient FPGA Accelerator for Hybrid Convolution-Attention U-Net in Medical Image Segmentation
X. Sha, Z. Song, S. Lin, J. Lai, and Y. Shi
International SoC Conference (ISOCC), 2026.
Medical AI
FPGA Accelerator
U-Net
DOI→
Security Challenges in Automated AI Accelerator Generation
Y. Shi
IEEE International Conference on Communications, Circuits, and Systems (ICCCAS） （Invited Talk）, 2026.
Artificial Intelligence
Hardware Security
AI Accelerator
Dense-Label-Map-Free SLIC Segmentation via Bit-Mask Cluster Encoding
Y. Li, W. Wang, Y. Liu, Z. Wang, and Y. Shi
IEEE Signal Processing Letters (IF: 3.6), vol. 33, pp. 2310–2314, 2026.
Artificial Intelligence
Depth Estimation
A Layer-Aware Heterogeneous SNN Accelerator Architecture for Energy-Efficient Inference on Resource-Limited FPGAs
Z. Song, X. Sha, and Y. Shi
IEEE International Symposium on Circuits and Systems (ISCAS), 2026.
SNN
AI Accelerator
FPGA