劉鋭

2001年9月至2010年6月在北京大學數學學院本碩博連讀。2010年9月至2012年9月在日本東京大學生產技術研究所做博士後，2014年7月至2015年7月在美國斯坦福大學醫學院做博士後，2017年9月至2018年9月在美國加州大學洛杉機分校醫學院學術訪問。2013年9月晉升副教授，2016年4月晉升教授。2015年起兼任華南理工大學數學學院大數據中心副主任。2019年起兼任廣州市工業與應用數學學會副理事長、廣東省工業與應用數學學會常務理事。2016年獲評廣州市“珠江科技新星”，2019年獲得廣東省傑出青年基金，2020年入選為教育部“長江學者獎勵計劃”青年學者，2021年獲得上海市自然科學一等獎（第三完成人）。 ^[1] 

主講過《常微分方程》《微分方程定性方法與數值模擬（全英課）》《線性代數與解析幾何（全英課）》等 本科生課程；以及《計算生物學導論》《數據挖掘技術在數學生物學中的應用》、《數學生物學中的某些理論、方法及應用》《現代數學基礎》等研究生課程。在計算數學方向招收碩士研究生和博士研究生。 ^[1] 

主要研究方向：動力系統、計算生物學與生物信息學。

博士生、碩士生招生方向：計算數學。

研究內容：主要在非線性動力學分析、數據挖掘與分析、時間序列分析與預測、動力系統的分岔現象、複雜生物過程的臨界點分析與預警、生物分子網絡的推斷與分析等幾個方面發展數學理論與計算方法。 ^[1] 

主持國家自然科學基金委項目：

[5] 主持面上基金項目“基於動力學和分子組學數據的複雜疾病臨界狀態研究” (項目號：62172164)。

[4] 主持“數學與醫療健康交叉”重點研發專項“典型肺疾病的早期預警、病程演進建模與治療方案優化” (項目號：12026608)。

[3] 主持面上基金項目“基於高維、大噪聲、小樣本數據的複雜疾病惡性突變信號的挖掘與利用” (項目號：11771152，已結題)。

[2] 主持青年基金項目“預測某些疾病惡性突變的數學生物方法研究” (項目號：11401222，已結題)。

[1] 主持主任基金項目“動力系統方法與某些複雜疾病惡性突變的早期預警信號” (項目號：11241002，已結題)。 ^[1] 

參與國家重大研發項目、重點項目：

[3] 參加重點項目“2型糖尿病發生髮展過程的臨界狀態預測理論和生物信息學方法”（項目號：31930022）。

[2] 參加重大研發計劃集成項目“基於動態網絡的複雜疾病分析理論與方法”（項目號：91530320，已結題）。

[1] 參加重點項目“動脈粥樣硬化發生發展過程中關鍵節點和調控網絡的系統生物學研究”（項目號：91439103，已結題）。 ^[1] 

[3] 2020年入選為教育部“長江學者獎勵計劃”青年長江學者。

[2] 2019年獲得廣東省傑出青年基金（項目號：2019B151502062）。

[1] 2016年入選為廣州市“珠江科技新星”。 ^[1] 

[5] 獲得2020年度上海市自然科學一等獎，成果名稱：動力學驅動的數據科學理論和方法研究；完成人：陳洛南（中國科學院分子細胞科學卓越創新中心）、林偉（復旦大學）、劉鋭（華南理工大學）、王勇（中國科學院數學與系統科學研究院）。

[4] 獲得2020年度華南理工大學“教學優秀獎”。

[3] 第十六屆“挑戰杯”全國大學生課外學術科技作品競賽一等獎指導教師。

[2] 獲得全國大學生創新創業計劃“優秀指導教師”獎，所指導論文獲得第十二屆全國大學生創新創業年會“優秀論文獎”。

[1] 獲得廣東省大學生“挑戰杯”學術科技競賽“優秀指導教師” 稱號，所指導的作品獲得第十五屆“挑戰杯”廣東大學生課外學術科技作品競賽特等獎。 ^[1] 

[47] 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, 2022. DOI: 10.1016/j.gpb.2020.11.008. 2022GPB_Proof.pdf

[46] 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, 66: 2265–2270. DOI:10.1016/j.scib.2021.03.0222021ScienceBulletin.pdf

[45] Rui Liu, Kazuyuki Aihara*, Luonan Chen*. Collective fluctuation implies imminent state transition. Physics of Life Reviews, 2021, 37: 103–107. DOI:10.1016/j.plrev.2021.04.002 2021PLREV.pdf

[44] Huisheng Liu#, Jiayuan Zhong#, Jiaqi Hu, Chongyin Han, Rui Li, Xueqing Yao, Shiping Liu, Pei Chen, Rui Liu*, Fei Ling*. Single-cell transcriptome analysis reveals DHX9 in mature B cell as a dynamic network biomarker before lymph node metastasis in colorectal adjacent tissues. Molecular Therapy-Oncolytics, 2021, 22:495–506. DOI:10.1016/j.omto.2021.06.004 2021MTO.pdf

[43] Min Dong, Xuhang Zhang, Kun Yang, Rui Liu*, Pei Chen*. Forecasting the COVID-19 transmission in Italy based on the minimum spanning tree of dynamic region network. PeerJ, 2021, 9: e11603. DOI:10.7717/peerj.11603 2021peerj.pdf

[42] Kazuyuki Aihara*, Rui Liu, Keiichi Koizumi, Xiaoping Liu, Luonan Chen*. Dynamical network biomarkers: theory and applications. Gene, 2021, 145997, DOI:10.1016/j.gene.2021.145997. 2021Gene.pdf

[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(1): 1–10. 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(1): 1–15. 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(1): 1–10. 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*. 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):105–114. 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 ^[1] 

[4] 授權美國專利，專利名稱：Detection device, method, and program for assisting network entropy-based detection of precursor to state transition of biological object；授權時間：2019年10月1日；授權專利號：US 10,431,341B2。

[3] 授權中國發明專利，專利名稱：用於對前疾病狀態進行檢測的檢測裝置；授權時間：2018年11月9日；授權專利號：CN 104794321B。

[2] 授權日本專利，專利名稱： ネットワークエントロピーに基づく生體の狀態遷移の予兆の検出を支援する検出裝置、検出方法及び検出プログラム；発行日：2017.7.19；特許番號（專利號）：特許第6164678號 (P6164678)。

[1] 授權日本專利，專利名稱： 動的ネットワークバイオマーカーの検出裝置、検出方法及び検出プログラム；発行日：2016.8.3；特許番號（專利號）：特許第5963198號(P5963198)。 ^[1] 

[1] 獲得軟件著作權，軟件名稱：利用隱馬爾可夫模型算法監測生物過程的臨界點軟件V1.0；證書編號：軟著登字第2865696號。 ^[1]