摘要：
In this paper, we explore the capabilities of a number of deep neural network models in generating whole-brain 3T-like MR images from clinical 1.5T MRIs. The models include a fully convolutional network (FCN) method and three state-of-the-art super-resolution solutions, ESPCN [26], SRGAN [17] and PRSR [7]. The FCN solution, U-Convert-Net, carries out mapping of 1.5T-to-3T slices through a U-Net-like architecture, with 3D neighborhood information integrated through a multi-view ensemble. The pros and cons of the models, as well the associated evaluation metrics, are measured with experiments and discussed in depth. To the best of our knowledge, this study is the first work to evaluate multiple deep learning solutions for whole-brain MRI conversion, as well as the first attempt to utilize FCN/U-Net-like structure for this purpose.
期刊：
IEEE/ACM Transactions on Computational Biology and Bioinformatics,2022年19(3):1322-1333 ISSN：1545-5963
通讯作者：
Jiang, X.
作者机构：
[He, Tingting; Jiang, Xingpeng; Ma, Yingjun] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.;[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.;[He, Tingting; Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.;[Tan, Yuting] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Tan, Yuting] Hubei Key Lab Math Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
Central China Normal University, School of Computer, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Hubei, Wuhan, China
会议名称：
18th Asia Pacific Bioinformatics Conference (APBC)
会议时间：
AUG 18-20, 2020
会议地点：
ELECTR NETWORK
会议主办单位：
[Ma, Yingjun;He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Tan, Yuting] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.^[Tan, Yuting] Hubei Key Lab Math Sci, Wuhan 430079, Hubei, Peoples R China.
摘要：
Infectious diseases are currently the most important and widespread health problem, and identifying viral infection mechanisms is critical for controlling diseases caused by highly infectious viruses. Because of the lack of non-interactive protein pairs and serious imbalance between positive and negative sample ratios, the supervised learning algorithm is not suitable for prediction. At the same time, due to the lack of information on viral proteins and significant dissimilarity in sequence, some ensemble learning models have poor generalization ability. In this paper, we propose a Sequence-Based Ensemble Learning (Seq-BEL) method to predict the potential virus-human PPIs. Specifically, based on the amino acid sequence of proteins and the currently known virus-human PPI network, Seq-BEL calculates various features and similarities of human proteins and viral proteins, and then combines these similarities and features to score the potential of virus-human PPIs. The computational results show that Seq-BEL achieves success in predicting potential virus-human PPIs and outperforms other state-of-the-art methods. More importantly, Seq-BEL also has good predictive performance for new human proteins and new viral proteins. In addition, the model has the advantages of strong robustness and good generalization ability, and can be used as an effective tool for virus-human PPI prediction.
作者机构：
[Zhong, Shengtao] Cent China Normal Univ, Sch Comp, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.;[Sheng, Rui] Cent China Normal Univ, Sch Math & Stat, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.;[Li, Yiyao; Wang, Ran] Cent China Normal Univ, Sch Journalism & Commun, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
会议名称：
SPIE 11th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
会议时间：
NOV 02-03, 2019
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Sheng, Rui] Cent China Normal Univ, Sch Math & Stat, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.^[Wang, Ran;Li, Yiyao] Cent China Normal Univ, Sch Journalism & Commun, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.^[Zhong, Shengtao] Cent China Normal Univ, Sch Comp, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Sina Weibo;emergencies;propagation effect;random forest
摘要：
Because posting on Sina Weibo has become the most popular and quickest way for spreading emergent news. However, meanwhile, the relevant management departments are obliged to deal with emergencies’ information on social media within a short time. Therefore, predicting the propagation effect of emergency microblog entries can help management departments find out the probable coming problems in time, and also improve the predictability of decision-making. In this paper, a method of predicting the propagation effect toward entries of main emergencies released by official media is proposed which has rarely been studied. We measure the propagation effect of emergency microblog entries from their repost, comment and favorite counts. In order to reach the target, user profiles, text features, interactive attributes were first extracted and verified separately. With these filtered multi-features, an improved model based on random forest is then constructed, trained and tested for predicting the publics’ interactive behaviors on Sina Weibo dataset. The results in our experiment demonstrate the effectiveness of our algorithm compared with most existing models.
作者机构：
[Zhao, Liang; Qu, Shaocheng; Luo, Jing] Cent China Normal Univ, Dept Elect & Informat Engn, Wuhan 430079, Peoples R China.;[Huang, Xin] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
会议名称：
31st Chinese Control And Decision Conference (CCDC)
会议时间：
JUN 03-05, 2019
会议地点：
Nanchang, PEOPLES R CHINA
会议主办单位：
[Zhao, Liang;Qu, Shaocheng;Luo, Jing] Cent China Normal Univ, Dept Elect & Informat Engn, Wuhan 430079, Peoples R China.^[Huang, Xin] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
摘要：
Congestion results in dissipation of the node's energy, deterioration of network performance and an increase in time delay and packet loss. By applying water-level control to queue length control, this paper presented a hop-to-hop congestion control model between link-layer and network-layer in Wireless Sensor Networks (WSNs). In addition, a reaching-law-based discrete sliding mode control algorithm (DSMC) was proposed to balance the inflows and outflows of node's frame buffer. The simulation results in MATLAB show that the proposed DSMC is more robust to tolerate external interference, more adaptive to the change of queue length and more rapidly convergent than other traditional approaches, which effectively avoids network congestion and transmission delay.
作者机构：
[Li, Deying; Chen, Wenping; Wang, Yongcai; Luo, Chuanwen; Ding, Xingjian] Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China.;[Sun, Guodong] Beijing Forestry Univ, Sch Informat, Beijing 100083, Peoples R China.;[Hu, Qian] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
会议名称：
28th International Conference on Computer Communications and Networks (ICCCN)
会议时间：
JUL 29-AUG 01, 2019
会议地点：
Valencia, SPAIN
会议主办单位：
[Ding, Xingjian;Wang, Yongcai;Luo, Chuanwen;Li, Deying;Chen, Wenping] Renmin Univ China, Sch Informat, Beijing 100872, Peoples R China.^[Sun, Guodong] Beijing Forestry Univ, Sch Informat, Beijing 100083, Peoples R China.^[Hu, Qian] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
会议论文集名称：
IEEE International Conference on Computer Communications and Networks
关键词：
Wireless power transfer;charger placement;cost-minimum;wireless rechargeable sensor networks
摘要：
As a promising technology to achieve perpetual operation of battery-powered wireless sensor devices, wireless power transfer has attracted much attention recently. In wireless power transfer, the charger enables the energy to be wirelessly transmitted to the rechargeable sensor devices that are hungry for energy. Previous works mainly focus on maximizing the charging utility or minimizing the charging delay. This paper concerns a more practical issue of placing wireless chargers, which aims at minimizing the deployment cost of chargers while satisfying the overall requirement for charging utility. We investigate the above cost-minimum charger placement problem under two typical scenarios in which omni chargers and directional chargers are used, respectively. To resolve this problem under the two charging models, we first prove its NP-hardness and then propose two approximation algorithms with proven performance guarantees. Finally, we conduct extensive simulation experiments to validate our designs, and the experimental results demonstrate that the proposed algorithms significantly outperform the baselines.
作者机构：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.;[Jiang, Xingpeng; He, Tingting; Zhang, Chenhao] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.;[Jiang, Xingpeng; He, Tingting] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.;[Ge, Leixin] Cent China Normal Univ, Sch Life Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Jiang, Xingpeng] C;Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.;Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Medical Genomics
会议时间：
DEC 03-06, 2018
会议地点：
Madrid, SPAIN
会议主办单位：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Zhang, Chenhao;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Ge, Leixin] Cent China Normal Univ, Sch Life Sci, Wuhan 430079, Hubei, Peoples R China.
作者机构：
[Fan, Shilei] Cent China Normal Univ, Hubei Key Lab Math Sci, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.;[Fan, Shilei] Aix Marseille Univ, Inst Math Marseille, CNRS, Cent Marseille,UMR7373, 39 Rue F Joliot Curie, F-13453 Marseille, France.;[Liao, Lingmin] Univ Paris Est Creteil Val de Marne, CNRS, UMR 8050, LAMA, 61 Ave Gen de Gaulle, F-94010 Creteil, France.
通讯机构：
[Fan, Shilei] C;[Fan, Shilei] A;Cent China Normal Univ, Hubei Key Lab Math Sci, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.;Aix Marseille Univ, Inst Math Marseille, CNRS, Cent Marseille,UMR7373, 39 Rue F Joliot Curie, F-13453 Marseille, France.
会议名称：
14th International Conference p-adic Functional Analysis
会议时间：
JUN 30-JUL 04, 2016
会议地点：
Univ Auvergne, Aurillac, FRANCE
会议主办单位：
Univ Auvergne
会议论文集名称：
Contemporary Mathematics
关键词：
p-adic dynamical system;rational maps;minimal decomposition;subshift of finite type
摘要：
The dynamical structure of the rational map ax + 1/x on the projective line P-1(Q(p)) over the field Q(p) of p-adic numbers is described for P >= 3.
作者机构：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.;[Hu, Xiaohua; Yu, Limin; He, Tingting; Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics
会议时间：
DEC 03-06, 2018
会议地点：
Madrid, SPAIN
会议主办单位：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.^[Yu, Limin;He, Tingting;Hu, Xiaohua;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
会议论文集名称：
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
摘要：
Long non-coding RNA (1ncRNA) has a close relationship with multiple biological processes and complex diseases. Generally speaking, it functions through the interaction with corresponding RNA-binding proteins. However, it is costly and time-consuming to use experimental methods to detect IncRNA-protein interactions. Network-based prediction methods have been developed recently, but very few methods consider the integration of multiple features and the non-linear relationship of IncRNAs (proteins). In this paper, we propose a kernel-based soft-neighborhood propagation algorithm (LKSNS) to predict the potential 1ncRNA-protein interactions. The method not only makes use of the non-neighborhood information, but also excavates the potential non-linear relationship. We compare LKSNS with other state-of-the-art methods based on multiple datasets and the results show that LKSNS has significantly better prediction performance. The case study further demonstrates that the LKSNS has the good practicality for 1ncRNA-protein interaction prediction.
期刊：
Proceedings - International Conference on Pattern Recognition,2018年2018-August:459-464 ISSN：1051-4651
通讯作者：
Pan, Junjun
作者机构：
[Pan, Junjun; Ng, Michael K.] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China.;[Zhang, Xiongjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.
通讯机构：
[Pan, Junjun] H;Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China.
会议名称：
24th International Conference on Pattern Recognition (ICPR)
会议时间：
AUG 20-24, 2018
会议地点：
Chinese Acad Sci, Inst Automat, Beijing, PEOPLES R CHINA
会议主办单位：
Chinese Acad Sci, Inst Automat
会议论文集名称：
International Conference on Pattern Recognition
期刊：
IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY,2018年:537-541
通讯作者：
Qiu, Duo
作者机构：
[Qiu, Duo] Hunan Univ, Sch Econ & Trade, Changsha, Hunan, Peoples R China.;[Zhu, Hu] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing, Jiangsu, Peoples R China.;[Zhang, Xiongjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.
会议名称：
IEEE International Congress on Cybermatics / IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology
会议时间：
JUL 30-AUG 03, 2018
会议地点：
Halifax, CANADA
会议主办单位：
[Qiu, Duo] Hunan Univ, Sch Econ & Trade, Changsha, Hunan, Peoples R China.^[Zhu, Hu] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing, Jiangsu, Peoples R China.^[Zhang, Xiongjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.
关键词：
Accelerated alternating direction method of multipliers;low-rank tensor completion;nuclear norm
摘要：
Low-rank tensor completion has attracted much interest in many applications such as image processing, data mining and machine learning. A widely used method is to minimize the sum of nuclear norms of unfolding matrices of a tensor. In this paper, we study a accelerated alternating direction method of multipliers (ADMM) for solving the sum of nuclear norms of unfolding matrices of a tensor. The basic idea of accelerated ADMM is to incorporate a multistep acceleration scheme into the classical ADMM. We design efficient implementations of the algorithm and present its convergence result. Extensive numerical examples on both random and real world data are presented to validate the superiority of our proposed algorithm over class ADMM.
期刊：
PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2018年:197-200 ISSN：2156-1125
通讯作者：
Hu, XH
作者机构：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.;[Ge, Leixin] Cent China Normal Univ, Sch Life Sci, Wuhan, Hubei, Peoples R China.;[Ma, Yuanyuan] Anyang Normal Univ, Sch Comp & Informat Engn, Anyang, Peoples R China.;[Jiang, Xingpeng; He, Tingting; Hu, Xiaohua; Hu, XH] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
通讯机构：
[Hu, XH] C;Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
DEC 03-06, 2018
会议地点：
Madrid, SPAIN
会议主办单位：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.^[Ge, Leixin] Cent China Normal Univ, Sch Life Sci, Wuhan, Hubei, Peoples R China.^[Ma, Yuanyuan] Anyang Normal Univ, Sch Comp & Informat Engn, Anyang, Peoples R China.^[Jiang, Xingpeng;He, Tingting;Hu, Xiaohua] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
会议论文集名称：
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
摘要：
Studies have shown that microRNAs are functionally related to human diseases. However, experimental methods for detecting miRNA-disease associations are both time consuming and laborious. Therefore, a large number of computational models for predicting potential miRNA-disease interaction have been proposed. However, few methods take into account the nonlinear structural similarity of miRNAs (diseases) and effectively integrate multiple similar metrics into one network. In this paper, we propose a kernel-based soft-neighborhood network propagation algorithm (LKSNF) to predict potential miRNA-disease interactions, which not only exploits the potential nonlinear relationship, but also effectively integrates different similar measures of miRNA (disease). The results of the 5-fold cross-validation show that the LKSNF model has significantly better predictive performance than other state-of-the-art methods. Case study further illustrates the effectiveness of LKSNF in predicting new miRNA-disease interactions.
期刊：
Trends in Mathematics,2017年:207-232 ISSN：2297-0215
通讯作者：
Lau, Ka-Sing
作者机构：
[Lai, Chun-Kit] San Francisco State Univ, Dept Math, 1600 Holloway Ave, San Francisco, CA 94132 USA.;[Lau, Ka-Sing] Chinese Univ Hong Kong, Dept Math, Sha Tin, Hong Kong, Peoples R China.;[Lau, Ka-Sing] Cent China Normal Univ, Dept Math, Wuhan, Hubei, Peoples R China.
通讯机构：
[Lau, Ka-Sing] C;Chinese Univ Hong Kong, Dept Math, Sha Tin, Hong Kong, Peoples R China.;Cent China Normal Univ, Dept Math, Wuhan, Hubei, Peoples R China.
会议名称：
3rd Conference on Fractals and Related Fields (FARF)
会议时间：
SEP 19-25, 2015
会议地点：
FRANCE
会议主办单位：
[Lai, Chun-Kit] San Francisco State Univ, Dept Math, 1600 Holloway Ave, San Francisco, CA 94132 USA.^[Lau, Ka-Sing] Chinese Univ Hong Kong, Dept Math, Sha Tin, Hong Kong, Peoples R China.^[Lau, Ka-Sing] Cent China Normal Univ, Dept Math, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Trends in Mathematics
摘要：
A self-affine set T = T(A; D) the attractor of an affine pair (A, D) where A is an expanding matrix on R-s with integral entries, and D subset of Z(s) is a finite set; T is called a self-affine tile if it is also a tile, and call such D a tile digit set. In this survey, we review some recent developments on the structure and characterizations of the tile digit sets D for a given A. We also discuss the celebrated Fuglede's spectral set problem on the self-affine tiles.
期刊：
MATHEMATICAL ANALYSIS OF CONTINUUM MECHANICS AND INDUSTRIAL APPLICATIONS,2017年 26: 153-164 ISSN：2198-350X
通讯作者：
Liu, Yikan
作者机构：
[Jiang, Daijun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Jiang, Daijun] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.;[Liu, Yikan; Yamamoto, Masahiro] Univ Tokyo, Grad Sch Math Sci, Meguro Ku, 3-8-1 Komaba, Tokyo 1538914, Japan.
通讯机构：
[Liu, Yikan] U;Univ Tokyo, Grad Sch Math Sci, Meguro Ku, 3-8-1 Komaba, Tokyo 1538914, Japan.
会议名称：
International Conference on Continuum Mechanics Focusing on Singularities (CoMFoS)
会议时间：
NOV 16-18, 2015
会议地点：
Kyushu Univ, Fukuoka, JAPAN
会议主办单位：
Kyushu Univ
会议论文集名称：
Mathematics for Industry
摘要：
In this chapter, we study the inverse problem on recovering a spatial component of the source term in a wave equation by the final observation data. Employing the analytic Fredholm theory , we establish a generic well-posedness result concerning the uniqueness of our inverse source problem . Numerically, by treating a corresponding minimization problem, we investigate the variational equation for the minimizer and develop an iterative thresholding algorithm . One- and two-dimensional numerical experiments are implemented to demonstrate the robustness and accuracy of the proposed algorithm.
期刊：
2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2017年:645-650 ISSN：2156-1125
通讯作者：
Zhang, Xiao-Fei
作者机构：
[Le Ou-Yang] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China.;[Le Ou-Yang; Yan, Hong] City Univ Hong Kong, Dept Elect & Engn, Hong Kong, Hong Kong, Peoples R China.;[Zhang, Xiao-Fei] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Zhang, Xiao-Fei] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Zhang, Xiao-Fei] C;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
会议时间：
DEC 15-18, 2016
会议地点：
Shenzhen, PEOPLES R CHINA
会议主办单位：
[Le Ou-Yang] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China.^[Le Ou-Yang;Yan, Hong] City Univ Hong Kong, Dept Elect & Engn, Hong Kong, Hong Kong, Peoples R China.^[Zhang, Xiao-Fei] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.^[Zhang, Xiao-Fei] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
会议论文集名称：
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
期刊：
Lecture Notes in Computer Science,2017年10251:253-265 ISSN：0302-9743
通讯作者：
Li, Deying
作者机构：
[Jia, Jinglan; Yu, Ying] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.;[Li, Deying] Renmin Univ China, Sch Informat, Beijing, Peoples R China.;[Zhu, Yuqing] Calif State Univ Los Angeles, Dept Comp Sci, Los Angeles, CA 90032 USA.
会议名称：
12th International Conference on Wireless Algorithms, Systems, and Applications (WASA)
会议时间：
JUN 19-21, 2017
会议地点：
Guilin, PEOPLES R CHINA
会议主办单位：
[Yu, Ying;Jia, Jinglan] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.^[Li, Deying] Renmin Univ China, Sch Informat, Beijing, Peoples R China.^[Zhu, Yuqing] Calif State Univ Los Angeles, Dept Comp Sci, Los Angeles, CA 90032 USA.
会议论文集名称：
Lecture Notes in Computer Science
摘要：
We study multi-influence competing in social networks. First we propose Timeliness Independent Cascade (TIC) model - a natural multi-influence propagation model. Second we propose FairInf problem: given several companies and their budgets, how to choose their separated seeds such that the overall influence spread is maximized and each individual company’s influence spread is fairly distributed. Third, we prove that when seeds for other companies are fixed, a company’s influence spread is monotone and submodular, which means greedy algorithm has the ratio of \((1-1/e)\). We design a greedy algorithm MG which runs quickly. At last, we conduct extensive experiments on real world social networks of different scales, and evaluate that our algorithm achieves the design goal.
期刊：
MATHEMATICAL BIOSCIENCES AND ENGINEERING,2017年14(5-6):1337-1360 ISSN：1547-1063
通讯作者：
Ren, Shanjing
作者机构：
[Ren, Shanjing] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Ren, Shanjing] Guizhou Educ Univ, Sch Math & Comp Sci, Guiyang 550018, Peoples R China.
通讯机构：
[Ren, Shanjing] C;[Ren, Shanjing] G;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;Guizhou Educ Univ, Sch Math & Comp Sci, Guiyang 550018, Peoples R China.
会议名称：
Workshop on Current Topics in Mathematical Biology (CTMB)
会议时间：
DEC 18-20, 2015
会议地点：
Shanghai Normal Univ, Shanghai, PEOPLES R CHINA
摘要：
In this paper, an SEIR epidemic model for an imperfect treatment disease with age-dependent latency and relapse is proposed. The model is well-suited to model tuberculosis. The basic reproduction number R-0 is calculated. We obtain the global behavior of the model in terms of R-0. If R-0 < 1, the disease-free equilibrium is globally asymptotically stable, whereas if R-0 > 1, a Lyapunov functional is used to show that the endemic equilibrium is globally stable amongst solutions for which the disease is present.
作者机构：
[Peng, Shuangjie; Long, Wei; Yang, Jing] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Long, Wei] Jiangxi Normal Univ, Coll Math & Informat Sci, Nanchang 330022, Jiangxi, Peoples R China.
通讯机构：
[Long, Wei] C;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
会议名称：
2013 Workshop on Variational Problems and Evolution Equations
会议时间：
JUL 22-25, 2013
会议地点：
Xiamen Univ, Xiamen, PEOPLES R CHINA
会议主办单位：
Xiamen Univ
关键词：
Fractional Laplacian;Nonlinear scalar field equation;Reduction method
摘要：
We consider the following nonlinear fractional scalar field equation (-Δ)su + u = K(|x|)up, u > 0 in ℝN, where K(|x|) is a positive radial function, N ≥ 2, 0 < s < 1, and 1 < p < N+2s/N-2s. Under various asymptotic assumptions on K(x) at infinity, we show that this problem has infinitely many non-radial positive solutions and sign-changing solutions, whose energy can be made arbitrarily large.
期刊：
Communications in Statistics - Simulation and Computation,2016年45(7):2362-2376 ISSN：0361-0918
通讯作者：
Fung, Wing Kam
作者机构：
[Pan, Dong-Dong] Yunnan Univ, Dept Stat, Kunming, Peoples R China.;[Li, Zheng-Bang] Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China.;[Li, Qi-Zhai] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China.;[Fung, Wing Kam] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China.
通讯机构：
[Fung, Wing Kam] U;Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China.
会议名称：
1st Meeting of y-BIS / 1st Meeting of jSPE
会议时间：
JUL 23-26, 2012
会议地点：
Caparica, PORTUGAL
会议主办单位：
[Pan, Dong-Dong] Yunnan Univ, Dept Stat, Kunming, Peoples R China.^[Li, Zheng-Bang] Cent China Normal Univ, Sch Math & Stat, Wuhan, Peoples R China.^[Li, Qi-Zhai] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China.^[Fung, Wing Kam] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China.
关键词：
Data fusion;Genetic model uncertainty;GWAS;MAX3;Power;Two-stage design
