27 citations · 73 across the 9 of their papers we have counts for
9 papers
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Ziyue Liu, Yixing Li, Jing Hu +5
Thermal issue is a major concern in 3D integrated circuit (IC) design. Thermal optimization of 3D IC often requires massive expensive PDE simulations. Neural network-based thermal…
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
Akshay Dua, Yixing Li, Fengbo Ren
This paper presents Systolic-CNN, an OpenCL-defined scalable, run-time-flexible FPGA accelerator architecture, optimized for accelerating the inference of various convolutional neu…
Light-Weight RetinaNet for Object Detection
Yixing Li, Fengbo Ren
Object detection has gained great progress driven by the development of deep learning. Compared with a widely studied task -- classification, generally speaking, object detection e…
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li, Fengbo Ren
Convolutional neural network (CNN) has been widely used for vision-based tasks. Due to the high computational complexity and memory storage requirement, it is hard to directly depl…
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
Yixing Li, Zichuan Liu, Kai Xu +2
FPGA-based hardware accelerators for convolutional neural networks (CNNs) have obtained great attentions due to their higher energy efficiency than GPUs. However, it is challenging…
A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing
Kai Xu, Yixing Li, Fengbo Ren
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. However, conventional model-driven CS frameworks…
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing
Zichuan Liu, Yixing Li, Fengbo Ren +1
In this paper, we develop a binary convolutional encoder-decoder network (B-CEDNet) for natural scene text processing (NSTP). It converts a text image to a class-distinguished sali…
An Energy-Efficient Compressive Sensing Framework Incorporating Online Dictionary Learning for Long-term Wireless Health Monitoring
Kai Xu, Yixing Li, Fengbo Ren
Wireless body area network (WBAN) is emerging in the mobile healthcare area to replace the traditional wire-connected monitoring devices. As wireless data transmission dominates po…
A Data-Driven Compressive Sensing Framework for Long-Term Health Monitoring
Kai Xu, Yuhao Wang, Yixing Li +1
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. In this paper, we propose a data-driven CS frame…