3 citations · 7 across the 6 of their papers we have counts for
6 papers
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Prakhar Ganesh, Yao Chen, Yin Yang +2
Performance of object detection models has been growing rapidly on two major fronts, model accuracy and efficiency. However, in order to map deep neural network (DNN) based object…
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Hui Ying, He Wang, Tianjia Shao +2
Image generation has been heavily investigated in computer vision, where one core research challenge is to generate images from arbitrarily complex distributions with little superv…
Training Massive Deep Neural Networks in a Smart Contract: A New Hope
Yin Yang
Deep neural networks (DNNs) could be very useful in blockchain applications such as DeFi and NFT trading. However, training / running large-scale DNNs as part of a smart contract i…
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu, Yin Yang, Yi Yuan +3
In this paper, we propose an effective global relation learning algorithm to recommend an appropriate location of a building unit for in-game customization of residential home comp…
Second-order Neural Network Training Using Complex-step Directional Derivative
Siyuan Shen, Tianjia Shao, Kun Zhou +3
While the superior performance of second-order optimization methods such as Newton's method is well known, they are hardly used in practice for deep learning because neither assemb…
LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains
Xiaodong Qi, Yin Yang, Zhao Zhang +2
This paper presents LinSBFT, a Byzantine Fault Tolerance (BFT) protocol with the capacity of processing over 2000 smart contract transactions per second in production. LinSBFT appl…