no code implementations • 7 Sep 2023 • Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
The fast growth of computational power and scales of modern super-computing systems have raised great challenges for the management of exascale scientific data.
1 code implementation • 6 Oct 2022 • Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
In this paper, we present ByteTransformer, a high-performance transformer boosted for variable-length inputs.
no code implementations • 13 Jan 2022 • Dawei Dai, Xiaoyu Tang, Shuyin Xia, Yingge Liu, Guoyin Wang, Zizhong Chen
We consider that there is a significant correlation among these incomplete sketches in the sketch drawing episode of each photo.
no code implementations • 10 Jan 2022 • Shuyin Xia, Cheng Wang, Guoyin Wang, Weiping Ding, Xinbo Gao, JianHang Yu, Yujia Zhai, Zizhong Chen
The granular-ball rough set can simultaneously represent Pawlak rough sets, and the neighborhood rough set, so as to realize the unified representation of the two.
no code implementations • 29 Dec 2021 • Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem
This paper present a strong data mining method based on rough set, which can realize feature selection, classification and knowledge representation at the same time.
no code implementations • 25 May 2021 • Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
(1) We provide an in-depth investigation of the characteristics of various autoencoder models and develop an error-bounded autoencoder-based framework in terms of the SZ model.
no code implementations • 2 May 2020 • Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei
The assigned cluster of the points in the stable area is not changed in the current iteration while the points in the annulus area will be adjusted within a few neighbor clusters in the current iteration.
no code implementations • 27 Mar 2020 • Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
(1) We propose several systematic ABFT schemes based on checksum techniques and analyze their fault protection ability and runtime thoroughly. Unlike traditional ABFT based on matrix-matrix multiplication, our schemes support any convolution implementations.
no code implementations • 22 Jan 2020 • Jinyang Liu, Yujia Zhai, Zizhong Chen
Neural Network based models have been state-of-the-art models for various Natural Language Processing tasks, however, the input and output dimension problem in the networks has still not been fully resolved, especially in text generation tasks (e. g. Machine Translation, Text Summarization), in which input and output both have huge sizes of vocabularies.
no code implementations • 12 Jun 2017 • Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
One serious challenge is that the data prediction has to be performed based on the preceding decompressed values during the compression in order to guarantee the error bounds, which may degrade the prediction accuracy in turn.
Information Theory Information Theory
1 code implementation • 12 Jun 2017 • Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
However, lossy compressor developers and users are missing a tool to explore the features of scientific datasets and understand the data alteration after compression in a systematic and reliable way.
Other Computer Science Instrumentation and Methods for Astrophysics Computational Engineering, Finance, and Science