Liyun He

17 papers B 1C 3Journal 2Unranked 11
YearRankTypeTitle / Venue / Authors
2020 J jnl
Effective attention-based network for syndrome differentiation of AIDS.
BMC Medical Informatics Decis. Mak.
Huaxin Pang, Shikui Wei, Yufeng Zhao, Liyun He, Jian Wang, Baoyan Liu, Yao Zhao
2018 — conf
A randomization and trial supply management system for adaptive clinical studies of TCM and its scientific research application in recurrent tuberculosis.
BIBM
Tiancai Wen, Baoyan Liu, Liyun He, Xiaoying Lv, Xin Wang, Yanning Zhang
2015 J jnl
Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Liyun He, Ronan Fablet, Bertrand Chapron, Jean Tournadre
2014 C conf
Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions.
IGARSS
Liyun He, Bertrand Chapron, Jean Tournadre, Ronan Fablet
2014 — conf
TCM syndrome classification of AIDS based on Manifold ranking.
CIBD
Yufeng Zhao, Lin Luo, Liyun He, Guanli Song, Baoyan Liu, Qi Xie, Xiaoping Zhang, Jian Wang, Xianghong Jing
2014 — conf
TCM syndrome differentiation of AIDS using subspace clustering algorithm.
BIBM
Yufeng Zhao, Xiang Zhang, Lin Luo, Liyun He, Baoyan Liu, Qi Xie, Kun Li, Ruili Huo, Xianghong Jing
2013 — conf
Aid decision of Chinese traditional patent medicine based on manifold ranking.
BIBM
Yufeng Zhao, Liyun He, Baoyan Liu, Ruili Huo, Xianghong Jing
2009 C conf
Information fusion for indoor localization.
FUSION
Pierre Blanchart, Liyun He, François Le Gland
2007 — conf
A Flexible Distributed Maximum Log-Likelihood Scheme for UWB Indoor Positioning.
WPNC
Benoît Denis, Liyun He, Laurent Ouvry
2006 — conf
A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes.
KES (1)
Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li
2006 — conf
Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table.
KES (1)
Honghai Feng, Hao Xu, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li
2006 — conf
An Algorithm for Eliminating the Inconsistencies Caused During Discretization.
KES (1)
Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo
2006 C conf
Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method.
IEA/AIE
Honghai Feng, Zhao Shuo, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li
2006 — conf
Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set.
ICDM (Posters)
Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo
2006 — conf
Using Rough Set to Induce More Abstract Rules from Rule Base.
KES (1)
Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo
2005 — conf
A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values.
IICAI
Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Huang Yong
2005 B conf
Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application.
K-CAP
Honghai Feng, Baoyan Liu, Liyun He