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2020 – today
- 2020
[j2]Huaxin Pang, Shikui Wei, Yufeng Zhao
, Liyun He, Jian Wang, Baoyan Liu, Yao Zhao:
Effective attention-based network for syndrome differentiation of AIDS. BMC Medical Informatics Decis. Mak. 20(1): 264 (2020)
2010 – 2019
- 2018
- [c15]Tiancai Wen, Baoyan Liu, Liyun He, Xiaoying Lv, Xin Wang, Yanning Zhang:
A randomization and trial supply management system for adaptive clinical studies of TCM and its scientific research application in recurrent tuberculosis. BIBM 2018: 1917-1921 - 2015
- [j1]Liyun He, Ronan Fablet, Bertrand Chapron, Jean Tournadre:
Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4742-4750 (2015) - 2014
- [c14]Yufeng Zhao, Xiang Zhang, Lin Luo, Liyun He, Baoyan Liu, Qi Xie, Kun Li, Ruili Huo, Xianghong Jing:
TCM syndrome differentiation of AIDS using subspace clustering algorithm. BIBM 2014: 219-224 - [c13]Yufeng Zhao, Lin Luo, Liyun He, Guanli Song, Baoyan Liu, Qi Xie, Xiaoping Zhang, Jian Wang, Xianghong Jing:
TCM syndrome classification of AIDS based on Manifold ranking. CIBD 2014: 96-100 - [c12]Liyun He, Bertrand Chapron, Jean Tournadre, Ronan Fablet:
Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions. IGARSS 2014: 3914-3917 - 2013
- [c11]Yufeng Zhao, Liyun He, Baoyan Liu, Ruili Huo, Xianghong Jing:
Aid decision of Chinese traditional patent medicine based on manifold ranking. BIBM 2013: 330-331
2000 – 2009
- 2009
- [c10]Pierre Blanchart, Liyun He, François Le Gland:
Information fusion for indoor localization. FUSION 2009: 2083-2090 - 2007
- [c9]Benoît Denis, Liyun He, Laurent Ouvry:
A Flexible Distributed Maximum Log-Likelihood Scheme for UWB Indoor Positioning. WPNC 2007: 77-86 - 2006
- [c8]Honghai Feng, Zhao Shuo, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li:
Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method. IEA/AIE 2006: 1290-1298 - [c7]Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo:
Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set. ICDM (Posters) 2006: 244-252 - [c6]Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo:
An Algorithm for Eliminating the Inconsistencies Caused During Discretization. KES (1) 2006: 145-152 - [c5]Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo:
Using Rough Set to Induce More Abstract Rules from Rule Base. KES (1) 2006: 498-505 - [c4]Honghai Feng, Hao Xu, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li:
Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table. KES (1) 2006: 714-719 - [c3]Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li:
A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes. KES (1) 2006: 1029-1036 - 2005
- [c2]Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Huang Yong:
A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values. IICAI 2005: 2411-2419 - [c1]Honghai Feng, Baoyan Liu, Liyun He:
Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application. K-CAP 2005: 201-202
Coauthor Index
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