刘锐 - 华南理工大学

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刘锐教授博导收藏完善纠错
华南理工大学数学学院
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个人简介

刘锐，青年长江学者、广东省杰出青年基金获得者。 2001年9月至2010年6月在北京大学数学学院本硕博连读。2010年9月至2012年9月在日本东京大学生产技术研究所做博士后，2014年7月至2015年7月在美国斯坦福大学医学院做博士后，2017年9月至2018年9月在美国加州大学洛杉机分校医学院学术访问。2013年9月晋升副教授，2016年4月晋升教授。2015年起兼任华南理工大学数学学院大数据中心副主任。2019年1月任广州市工业与应用数学学会副理事长、广东省工业与应用数学学会常务理事。2016年获评广州市“珠江科技新星”，2019年获得广东省杰出青年基金，入选为2019年度教育部“长江学者奖励计划”青年学者，获得2020年度上海市自然科学一等奖（第三完成人）。教学和指导研究生情况主讲过《常微分方程》、《微分方程定性方法与数值模拟（全英课）》、《线性代数与解析几何（全英课）》等 3 门本科生课程；以及《计算生物学导论》、《数据挖掘技术在数学生物学中的应用》、《数学生物学中的某些理论、方法及应用》、《现代数学基础》等研究生课程。从 2015 年 9 月起在计算数学方向招收硕士研究生；从2018年9月起在计算数学方向招收博士研究生。研究内容：主要在数据挖掘与分析、时间序列分析与预测、动力系统的分岔现象、复杂生物过程的临界点分析与预警、生物分子网络的推断与分析等几个方面发展数学理论与计算方法。承担国家自然科学基金项目情况主持国家自然科学基金委项目： [4] 主持重点专项基金“典型肺疾病的早期预警、病程演进建模与治疗方案优化” (项目编号：12026608，天元基金“数学与医疗健康交叉”重点研发专项，在研)。 [3] 主持面上基金项目“基于高维、大噪声、小样本数据的复杂疾病恶性突变信号的挖掘与利用” (项目编号：11771152，在研)。 [2] 主持青年基金项目“预测某些疾病恶性突变的数学生物方法研究” (项目编号：11401222，已结题)。 [1] 主持主任基金项目“动力系统方法与某些复杂疾病恶性突变的早期预警信号” (项目编号：11241002，已结题)。参与国家重大研发项目、重点项目： [3] 参加重点项目“2型糖尿病发生发展过程的临界状态预测理论和生物信息学方法”（项目编号：31930022，在研）。 [2] 参加重大研发计划集成项目“基于动态网络的复杂疾病分析理论与方法”（项目编号：91530320，已结题）。 [1] 参加重点项目“动脉粥样硬化发生发展过程中关键节点和调控网络的系统生物学研究”（项目编号：91439103，已结题）。入选人才项目情况 [3] 入选为2019年度教育部“长江学者奖励计划”青年长江学者。 [2] 2019年获得广东省杰出青年基金。 [1] 2016年获批为广州市“珠江科技新星”。承担广东省自然科学基金项目情况 [1] 主持“高次波动方程的研究” （项目编号：S2012040007959，已结题）。获奖情况 [5] 获得2020年度上海市自然科学一等奖（第三完成人）。 [4] 获得2020年度华南理工大学“教学优秀奖”。 [3] 第十六届“挑战杯”全国大学生课外学术科技作品竞赛一等奖指导教师。 [2] 获得全国大学生创新创业计划“优秀指导教师”奖，所指导论文获得第十二届全国大学生创新创业年会“优秀论文奖”。 [1] 获得广东省大学生“挑战杯”学术科技竞赛“优秀指导教师” 称号，所指导的作品获得第十五届“挑战杯”广东大学生课外学术科技作品竞赛特等奖。获得授权专利情况 [4] 授权美国专利，专利名称：Detection device, method, and program for assisting network entropy-based detection of precursor to state transition of biological object；授权时间：2019年10月1日；授权专利号：US 10,431,341B2。 [3] 授权中国发明专利，专利名称：用于对前疾病状态进行检测的检测装置；授权时间：2018年11月9日；授权专利号：CN 104794321B。 [2] 授权日本专利，专利名称：ネットワークエントロピーに基づく生体の状態遷移の予兆の検出を支援する検出装置、検出方法及び検出プログラム；発行日：2017.7.19；特許番号（专利号）：特許第6164678号 (P6164678)。 [1] 授权日本专利，专利名称：動的ネットワークバイオマーカーの検出装置、検出方法及び検出プログラム；発行日：2016.8.3；特許番号（专利号）：特許第5963198号(P5963198)。软件著作权情况 [1] 获得软件著作权，软件名称：利用隐马尔可夫模型算法监测生物过程的临界点软件V1.0；登记证书颁发日期：2018年7月10日；证书编号：软著登字第2865696号。指导本科生获奖情况 [2] 指导本科生参加第十六届全国“挑战杯”大学生学术科技作品竞赛，获得一等奖。参赛学生：李宗广；指导教师：刘锐；参赛时间：2019年11月9日--12日。 [1] 指导本科生参加第十五届广东省“挑战杯”大学生学术科技作品竞赛，获得特等奖。参赛学生：李宗广；指导教师：刘锐，杨佼朋；参赛时间：2019年5月26日。

研究领域

动力系统、计算生物学与生物信息学。

近期论文

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[45] Rui Liu#, Jiayuan Zhong#, Renhao Hong, Ely Chen, Kazuyuki Aihara, Pei Chen*, Luonan Chen*. Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy. Science Bulletin, 2021. DOI:10.1016/j.scib.2021.03.0222021ScienceBulletin.pdf [44] Jiayuan Zhong, Chongyin Han, Xuhang Zhang, Pei Chen*, Rui Liu*. SGE: Predicting cell fate commitment during early embryonic development by single-cell graph entropy. Genomics, Proteomics & Bioinformatics, 2021, in press. [43] Rui Liu, Kazuyuki Aihara*, Luonan Chen*. Collective fluctuation implies imminent state transition -- Comment on “Dynamic and thermodynamic models of adaptation” by A.N. Gorban et al. Physics of Life Reviews, 2021, 37(2021):103–107. DOI:10.1016/j.plrev.2021.04.002 2021PLREV.pdf [42] Kazuyuki Aihara*, Rui Liu, Keiichi Koizumi, Xiaoping Liu, Luonan Chen*. Dynamical network biomarkers: theory and applications. Gene, 2021, in press. [41] Xuhang Zhang, Rong Xie, Zhengrong Liu, Yucong Pan, Rui Liu*, Pei Chen*. Identifying pre-outbreak signals of hand, foot and mouth disease based on landscape dynamic network marker. BMC Infectious Diseases, 2021, 21:6. DOI:10.1186/s12879-020-05709-w 2021BMC Infect Dis.pdf [40] Pei Chen, Rui Liu*, Kazuyuki Aihara, Luonan Chen*. Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation. Nature Communications, 2020, 11:4568. DOI: 10.1038/s41467-020-18381-0. 2020Nat. Commun.pdf [39] Rui Liu, Pei Chen*, Luonan Chen*. Single-sample landscape entropy reveals the imminent phase transition during disease progression. Bioinformatics, 2020, 36(5): 1522-1532. DOI:10.1093/bioinformatics/btz758 2020Bioinformatics.pdf [38] Chongyin Han#, Jiayuan Zhong#, Jiaqi Hu, Huisheng Liu, Rui Liu*, Fei Ling*. Single-sample node entropy for molecular transition in pre-deterioration stage of cancer. Frontiers in Bioengineering and Biotechnology, 2020, 8:809. DOI:10.3389/fbioe.2020.00809 2020_Front Bioeng Biotechnol.pdf [37] Jiayuan Zhong, Rui Liu*, Pei Chen*. Identifying critical state of complex diseases by single-sample Kullback–Leibler divergence, BMC Genomics, 2020, 21(1):87. DOI:10.1186/s12864-020-6490-7 2020BMCgenomics.pdf [36] Pei Chen#, Shuo Li#, Wenyuan Li, Jie Ren, Fengzhu Sun, Rui Liu*, Xianghong Jasmine Zhou*. Rapid diagnosis and comprehensive bacteria profiling of sepsis based on cell-free DNA. Journal of Translational Medicine, 2020, 18:5. DOI:10.1186/s12967-019-02186-x 2020JTM.pdf [35] Tianlong Liu, Hongyan Wen, Hao Li, Haochen Xu, Ning Xiao, Rui Liu, Luonan Chen et al. Oleic acid attenuates Ang II (Angiotensin II)-induced cardiac remodeling by inhibiting FGF23 (fibroblast growth factor 23) expression in mice. Hypertension, 2020, 75(3): 680-692. DOI:10.1161/HYPERTENSIONAHA.119.14167 2020Hypertension.pdf [34] Jiaopeng Yang, Rui Liu, Yiren Chen. Bifurcations of solitary waves of a simple equation. International Journal of Bifurcation and Chaos, 2020, 30(09), 2050138. DOI: 10.1142/S0218127420501382 2020IJBC.pdf [33] Zongguang Li, Rui Liu*. Blow-up solutions for a case of b-family equations. Acta Mathematica Scientia, 2020, 40B(4): 1-11. DOI:10.1007/s10473-020 2020Acta Mathematica Scientia.pdf [32] Yingqi Chen, Kun Yang, Jialiu Xie, Rong Xie, Zhengrong Liu, Rui Liu*, Pei Chen*. Detecting the outbreak of influenza based on the shortest path of dynamic city network. PeerJ, 2020, 8: e9432. DOI:10.7717/peerj.9432 2020PeerJ.pdf [31] Kun Yang, Jialiu Xie, Rong Xie, Yucong Pan, Rui Liu*, Pei Chen*. (2020). Real-time forecast of influenza outbreak using dynamic network marker based on minimum spanning tree. BioMed Research International, 2020, 2020:7351398, 1-11. DOI:10.1155/2020/7351398 2020BioMed Research International.pdf [30] Zongguang Li, Rui Liu*. Bifurcations and exact solutions in a nonlinear wave equation. International Journal of Bifurcation and Chaos, 2019, 29(7):1950098. DOI:10.1142/S0218127419500986 2019IJBC.pdf [29] Rui Liu#, Jinzeng Wang#, Masao Ukai#, Ki Sewon, Pei Chen, Yutaka Suzuki, Haiyun Wang*, Kazuyuki Aihara*, Mariko Okada-Hatakeyama*, Luonan Chen*. Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers. Journal of Molecular Cell Biology, 2019, 11(8): 649-664. DOI:10.1093/jmcb/mjy059 2019JMCB.pdf [28] Pei Chen#, Ely Chen#, Luonan Chen, Xianghong Jasmine Zhou*, Rui Liu*. Detecting early-warning signals of influenza outbreak based on dynamic network marker. Journal of Cellular and Molecular Medicine, 2019, 23(1): 395-404. DOI:10.1111/jcmm.13943 2019JCMM.pdf [27] Rui Liu, Jiayuan Zhong, Xiangtian Yu, Yongjun Li, Pei Chen*. Identifying critical state of complex diseases by single-sample-based hidden Markov model. Frontiers in Genetics, 2019, 10:285. DOI: 10.3389/fgene.2019.00285 2019FrontiersGenetics.pdf [26] Pei Chen, Yongjun Li, Xiaoping Liu, Rui Liu*, Luonan Chen*. Detecting the tipping points in a three-state model of complex diseases by temporal differential networks. Journal of Translational Medicine, 2017, 15:217. DOI:10.1186/s12967-017-1320-7 2017JTM.pdf [25] Xiaoping Liu, Xiao Chang, Rui Liu, Xiangtian Yu, Luonan Chen, Kazuyuki Aihara. Quantifying critical states of complex diseases using single-sample dynamic network biomarkers. PLoS Computational Biology, 2017, 13(7): e1005633. DOI:10.1371/journal.pcbi.1005633 2017PLOS CB.pdf [24] Bo Jin#, Rui Liu#, Shiying Hao, et al. Defining and characterizing the critical transition state prior to the type 2 diabetes disease. PLoS ONE, 2017, 12(7): e0180937. DOI:10.1371/journal.pone.0180937 2017PLOS ONE.pdf [23] Pei Chen, Rui Liu, Yongjun Li, Luonan Chen. Detecting critical state before phase transition of complex biological systems by hidden Markov model. Bioinformatics, 2016, 32(14): 2143-2150. DOI:10.1093/bioinformatics/btw154 2016Bioinformatics.pdf [22] Yiren Chen, Weibo Ye, Rui Liu*. The explicit periodic wave solutions and their limit forms for a generalized b-equation. Acta Mathematicae Applicatae Sinica, 2016, 32(2): 513-528. DOI:10.1007/s10255-016-0581-x 2016AMAS.pdf [21] Pei Chen, Rui Liu, Kazuyuki Aihara, Luonan Chen. Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers. Frontiers in Genetics, 2015, 6:252. DOI:10.3389/fgene.2015.00252 2015FrontiersGenetics.pdf [20] Rui Liu, Pei Chen, Kazuyuki Aihara, Luonan Chen. Identifying early-warning signals of critical transitions with strong noise by dynamical network markers. Scientific Reports, 2015, 5:17501. DOI:10.1038/srep17501 2015Srep.pdf [19] Zhou Tan#, Rui Liu#, Le Zheng, et al. Cerebrospinal fluid protein dynamic driver network: At the crossroads of brain tumorigenesis. Methods, 2015, 83: 36-43. DOI:10.1016/j. ymeth.2015.05.004 2015Methods.pdf [18] Yiren Chen, Rui Liu*. Some new nonlinear wave solutions for two (3+1)-dimensional equations. Applied Mathematics and Computation, 2015, 260: 397-411. DOI:10.1016/j.amc.2015.03.098 2015AMC.pdf [17] Weifang Yan, Rui Liu. Traveling wave solutions in n-dimensional delayed nonlocal diffusion system with mixed quasimonotonicity. Analysis and Applications, 2015, 13(1): 23-43. DOI:10.1142/S0219530514500055 2015A&A.pdf [16] Yue Wang, Jin Luo, Shiying Hao, Haihua Xu, Andrew Young Shin, Bo Jin, Rui Liu et al. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. International journal of medical informatics, 2015, 84(12): 1039-1047. DOI:10.1016/j.ijmedinf.2015.06.007 2015InternationalJournalofMedicalInformatics.pdf [15] Rui Liu, Xiangtian Yu, Xiaoping Liu, Dong Xu, Kazuyuki Aihara, Luonan Chen. Identifying critical transitions of complex diseases based on a single sample. Bioinformatics, 2014, 30(11): 1579-1586. DOI:10.1093/bioinformatics/btu084 2014Bioinformatics.pdf [14] Rui Liu, Xiangdong Wang, Kazuyuki Aihara, Luonan Chen. Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers. Medicinal Research Reviews, 2014, 34(3): 455-478. DOI:10.1002/med.21293 2014MRR.pdf [13] Meiyi Li, Tao Zeng, Rui Liu, Luonan Chen. Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. Briefings in Bioinformatics, 2014, 15(2): 229-243. DOI:10.1093/bib/bbt027 2014BIB.pdf [12] Tao Zeng, Wanwei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li, Rui Liu, Luonan Chen. Edge biomarkers for classification and prediction of phenotypes. Science China Life Sciences, 2014, 57(11): 1103-1114. DOI:10.1007/s11427-014-4757-4 2014ScienceChina.pdf [11] Tao Zeng, Chuanchao Zhang, Wanwei Zhang, Rui Liu, Juan Liu, Luonan Chen. Deciphering early development of complex diseases by progressive module network. Methods, 2014, 67(3): 334-343. DOI:10.1016/j.ymeth.2014.01.021 2014Methods.pdf [10] Xiaoping Liu#, Rui Liu#, Xingming Zhao, Luonan Chen. Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers. BMC Medical Genomics, 2013, S6. DOI:10.1186/1755-8794-6-S2-S8 2013BMC Medic.pdf [9] Rui Liu, Weifang Yan. Some common expressions and new bifurcation phenomena for nonlinear waves in a generalized mKdV equation. International Journal of Bifurcation and Chaos, 2013, 23(3): 13330007. DOI:10.1142/S0218127413300073 2013IJBC.pdf [8] Rui Liu. The explicit nonlinear wave solutions of the generalized b-equation. Communications on Pure and Applied Analysis, 2013, 12(2): 1029-1047. DOI:10.3934/cpaa.2013.12.1029 2013CPAA.pdf [7] Rui Liu, Kazuyuki Aihara, Luonan Chen. Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes. Quantitative Biology, 2013, 1(2):105-14. DOI:10.1007/s40484-013-0008-0 2013QB.pdf [6] Weifang Yan, Rui Liu. Existence and critical speed of traveling wave fronts in a modified vector disease model with distributed delay. Journal of Dynamical and Control Systems, 2012, 18(3): 355–378. DOI:10.1007/s10883-012-9148-1 2012JDCS.pdf [5] Luonan Chen, Rui Liu, Zhi-Ping Liu, Meiyi Li, Kazuyuki Aihara. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Scientific Reports, 2012, 2:342. DOI:10.1038/srep00342 2012Srep.pdf [4] Rui Liu, Meiyi Li, Zhi-Ping Liu, Jiarui Wu, Luonan Chen, Kazuyuki Aihara. Identifying critical transitions and their leading biomolecular networks in complex diseases. Scientific Reports, 2012, 2:813. DOI:10.1038/srep00813 2012Srep_L.pdf [3] Rui Liu. Coexistence of multifarious exact nonlinear wave solutions for generalized b-equation. International Journal of Bifurcation and Chaos, 2010, 20(10): 3193-3208. DOI:10.1142/S0218127410027623 2010IJBC.pdf [2] Rui Liu. Some new results on explicit traveling wave solutions of k(m, n) equation. Discrete and Continuous Dynamical Systems-Series B, 2010, 13(3): 633-646. DOI:10.3934/dcdsb.2010.13.633 2010DCDS-B.pdf [1] Rui Liu. Several new types of solitary wave solutions for the generalized Camassa- Holm-Degasperis-Procesi equation. Communications on Pure and Applied Analysis, 2010, 9(1): 77-90. DOI:10.3934/cpaa.2010.9.77 2010CPAA.pdf

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