72 citations · 236 across the 35 of their papers we have counts for
6 papers · 1 filter
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
Wenlei Bao, Li-Wen Chang, Yang Chen +4
Quantization has emerged to be an effective way to significantly boost the performance of deep neural networks (DNNs) by utilizing low-bit computations. Despite having lower numeri…
Predicting densities and elastic moduli of SiO2-based glasses by machine learning
Yong-Jie Hu, Ge Zhao, Mingfei Zhang +8
Chemical design of SiO2-based glasses with high elastic moduli and low weight is of great interest. However, it is difficult to find a universal expression to predict the elastic m…
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
Yingwei Pan, Yehao Li, Qi Cai +2
This notebook paper presents an overview and comparative analysis of our systems designed for the following two tasks in Visual Domain Adaptation Challenge (VisDA-2019): multi-sour…
Mocycle-GAN: Unpaired Video-to-Video Translation
Yang Chen, Yingwei Pan, Ting Yao +2
Unsupervised image-to-image translation is the task of translating an image from one domain to another in the absence of any paired training examples and tends to be more applicabl…
PoMo: Generating Entity-Specific Post-Modifiers in Context
Jun Seok Kang, Robert L. Logan, Zewei Chu +5
We introduce entity post-modifier generation as an instance of a collaborative writing task. Given a sentence about a target entity, the task is to automatically generate a post-mo…
Some fundamental properties on the sampling free nabla Laplace transform
Yiheng Wei, Yuquan Chen, Yong Wang +1
Discrete fractional order systems have attracted more and more attention in recent years. Nabla Laplace transform is an important tool to deal with the problem of nabla discrete fr…