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梁湘三(X. San Liang)

梁湘三

特聘教授/博士生导师

xsliang@fudan.edu.cn



个人简介

早年毕业于美国哈佛大学,获应用数学博士学位。曾供职于哈佛大学(Harvard)、纽约库朗数学研究所等单位(Courant),以及国内的国家海洋局二所、中央财经大学中国经济与管理研究院暨中国高等研究院、南京信息工程大学(南气院)、复旦大学等。学术上的突出贡献包括Liang-Kleeman信息流/Liang信息流以及从第一性原理推导出的因果分析(已广泛地应用于财经、神经科学、气象/气候/海洋、量子物理、湍流、人工智能、电网等不同的学科领域)、流体运动跨尺度的正则传输、多尺度子空间变换等理论与方法论,其人也因此被麻省理工学院(MIT)、加州大学洛杉矶分校(UCLA)、Woods Hole海洋所、普林斯顿大学(Princeton/GFDL)、東京大學、欧盟联合研究中心、捷克科学院计算机研究所等30余所海外研究机构邀请做讲座。


研究兴趣

本人兴趣非常广泛,目前在研的课题包括以下几个不同的方向:

1)因果分析、信息流(经典系统与量子系统,如Yi & Bose, 2022: Quantum Liang information flow as causation quantifier. Phys. Rev. Lett., 129, 020501);时间序列分析(应用于金融、气候、脑神经等)

2)(内禀可解释的)因果人工智能算法(Causal AI—intrinsically interpretable AI),如基于Liang-Kleeman信息流的Fuzzy Cognitive Map算法(Tyrovolas et al., 2023),应用于机器人、脑机接口等

3)复杂系统;网络动力学;脑神经系统;认知科学

4)气象预报(主要关注强对流、台风、龙卷风等灾害性天气);气候变化归因

5)大气、海洋动力学;湍流

本人长期招收博士后、博士与硕士研究生,有意者请联系 majiwang@sml-zhuhai.cn(马老师)。详情见本页页底。


教育背景

博士学位(2002年),应用数学,美国哈佛大学(Harvard

硕士学位(1998年),应用数学,美国哈佛大学(Harvard

硕士学位(1992年),物理海洋学,国家海洋局第二海洋研究所

学士学位(1988年),航天技术,国防科学技术大学


主要研究经历

2021年—至今, 复旦大学,特聘教授

2011年—2021年,南京信息工程大学(南京气象学院), 江苏特聘教授

2010年—2011年,美国麻省理工学院(MIT),研究员

2008年—2011年,中央财经大学、中国经济与管理研究院/中国高等研究院, 教授

2004年—2008年,美国库朗数学研究所(Courant),研究员、首席研究员

2002年—2004年,美国哈佛大学(Harvard),博士后

1996年—2002年,美国哈佛大学,助研

1992年—1993年,中国第九次南极考察队 ,大洋班副班长

1991年—1996年,国家海洋局第二海洋研究所,科研人员


在研课题

1. 20231-202712月,国家自然科学基金(重点),因果分析、大气可预报性传递及其在台风突然转折路径预报中的应用,269万,主持

2. 2021-2023,山东省气象局,基于神经网络的分类强对流客观预报,20万,主持

3. 20201月—202312月,国家自然科学基金(面上),多尺度子空间交互作用与北大西洋涛动(NAO)动力过程研究,63万,主持


主要教学经历

20242至今,复杂系统简介,本科生,复旦大学

20213月—20217月,诗词格律,本科生与研究生,南京信息工程大学

20209月—20211月,Elements of Data Science(英文授课),本科生,英国雷丁大学—南京信息工程大学合作办学班

20173月—20177月,气候动力学,研究生,南京信息工程大学

20156月—20157月,地球流体力学基础及前沿问题选讲,研究生,厦门大学

20139月—20211月,大气海洋中的数学物理方法,研究生,南京信息工程大学

20113月—20117月,Basic Topology(英文授课),本科生,中央财经大学/中国经济与管理研究院

20103月—20107月,Stochastic Processes(英文授课),本科生,中央财经大学/中国经济与管理研究院

20099月—20101月,Functional Analysis(英文授课),研究生,中央财经大学/中国经济与管理研究院

20093月—20097月,Principles of Mathematical Analysis(英文授课),本科生,中央财经大学/中国经济与管理研究院

20089月—20091月,动力系统基础,公开课(面向社会),中国高等研究院/中国经济与管理研究院


主要学术兼职

2023—,华东师范大学教育部“数学与工程应用”重点实验室,学术委员会委员

2021—,中国科学院数学与系统科学研究院-中国海洋大学,海洋数学技术联合实验室,学术委员会委员

2020—,国家气候观象台—山东长岛观象台,学术委员会委员

201810月 — ,山东省气象局,科技顾问

20171月—20201月, 河海大学,兼职教授

201710月—2018.4 , 厦门大学,杰出访问学者

20166月—12月,美国斯坦福大学,访问学者

20053-20063月,·美国哈佛大学,名誉副研究员


获奖情况

2015年,入选江苏省双创团队领军人才

1998年,入选哈佛大学Ernst Habicht Fellow


发表论文

代表作

1. Liang, X. San*, Fen Xu, Yineng Rong, Renhe Zhang, Xu Tang, Feng Zhang, 2021: El Niño Modoki can be mostly predicted more than 10 years ahead of time. Sci. Rep., 11:17860 DOI: 10.1038/s41598-021-97111-y

2. Liang, X. San*, 2016: Information flow and causality as rigorous notions ab inito. Phys. Rev. E, 94, 052201-1-28.

3. Liang, X. San*, 2016: Canonical transfer and multiscale energetics for primitive and quasi-geostrophic atmospheres. J. Atmos. Sci.. 73, 4439-4468.

4. Liang, X. San*, 2014: Unraveling the cause-effect relation between time series. Phys. Rev. E, 90, 052150 (1-11).(被美国《今日物理》报道)

5. Liang, X. San*, 2013: The Liang-Kleeman information flow: Theory and applications. Entropy, 15, 327-360.(受邀综述)

6. Liang, X. San*, and D. Anderson, 2007: Multiscale window transform.  SIAM J. Multiscale Model. Simul., Vol. 6, Issue 2, 437-467.

7. Liang, X. San*, and Richard Kleeman, 2005: Information transfer between dynamical system components. Phys. Rev. Lett., 95, 244101.


最近五年其它文章选登

1. Parginos, Konstantinos, Marios Tyrovolas*, Ricardo Bessa, X. San Liang, Chrysostomos Stylios, Simon Camal, and Georges Kariniotakis, On the performance of inherently interpretable AI in grid overloading. 23rd Power Systems Computation Conference. Paris, France, June 4-7, 2024. (submitted)

2. Rong, Yineng, X. San Liang*:  A causal learning-based model for eye state recognition and prediction from EEG data. Computers in Biology and Medicine. (submitted)

3. Yang, Yang, Rui Xin Huang, X. San Liang, Zhiyu Liu, Jianyu Hu, Yuhui Zhao, Guanqi Fu: The causal relation within air-sea interaction as inferred from satellite observations. J. Clim. (submitted)

4. Ma, Jiwang, Yineng Rong, X. San Liang*, Renhe Zhang, Xu Tang, The multiscale interaction leading to the extremely devastating 20 July 2021 hourly rainfall in Zhengzhou, China. J. Atmos. Sci. (submitted)

5. Liang, X. San*, Dake Chen, Renhe Zhang: Quantitative causality, causality-aided discovery, and causal machine learning. Ocean-Land-Atmosphere Research 2023:2, Article 0026,, DOI: 10.34133/olar.0026.

6. Tyrovolas, Marios, X. San Liang, Chrysostomos Stylios*: Information flow-based fuzzy cognitive maps with enhanced interpretability. Granular Computing, 8, 2021-2038. DOI10.1007/s41066-023-00417-7.

7. Zhou, Feihong, Daniel F. T. Hagan, Guojie Wang*, X. San Liang, Shijie Li, Yuhao Shao, Yeboah Emmanuel, Xikun Wei, 2024: Estimating time-dependent structures in a multivariate causality for land-atmosphere interactions. J. Clim. DOI: 10.1175/JCLI-D-23-0207.1

8. Yang, Yang, Guanqi Fu, X. San Liang, Yonggang Liu, Robert H. Weisberg, and Julio Sheinbaum: Causal relations between the Loop Current penetration and the flow conditions in the Yucatan Channel and Florida Straits inferred with a rigorous quantitative causality analysis. Deep-Sea Res. I, DOI10.1016/j.dsr2.2023.105298.

9. He, Weibang, Yang Yang, X. San Liang*, 2024: Time-dependent role of multi-Year La Niña in impacting the Pacific Tropical Instability Waves. J. Geophys. Res. – Oceans, Vol. 129, No. 1, e2023JC020183. DOI10.1029/2023JC020183

10. Yang, Yang, X. San Liang*, Weibang He, 2024: On the interannual variability of the North Atlantic Oscillation. J. Atmos. Sci., 81, 177-208. https://doi.org/10.1175/JAS-D-23-0100.1

11. Ma, Jiwang, X. San Liang, 2023: Upstream-downstream asymmetry in multiscale interaction underlying atmospheric blockings. J. Atmos. Sci., 80, 1995-2011.DOI: 10.1175/JAS-D-22-02201

12. Ma, Jiwang, X. San Liang*, and Dake Chen: The role of multiscale interaction on the maintenance and propagation of MJO in boreal winter.  J. Clim., 36, 7827-7846, 2023 (Nov 15)

13. Ma, Jiwang, X. San Liang*, 2023: Distinctly different dynamical processes in maintaining the intraseasonal NAO+ and NAO-. Geophys. Res. Lett., 50(10), e2023GL103351. DOI: 10.1029/2023GL.103351

14. 赵宇慧、马继望、梁湘三*2023:南海一个罗斯贝标准模态的特征与归因。海洋学报,4510),1-11.

15.  Fu, Guanqi, Yang Yang, X. San Liang, Yuhui Zhao: Characteristics and Dynamics of the Interannual Eddy Kinetic Energy Variation in the Central Pacific Sector   of the Southern Ocean. J. Geophys. Res. – Oceans, 128(10), DOI: 10.1029/2022JC019618

16. Zhao, Yuhui, X. San Liang, Yang Yang: The Kuroshio intrusion into the South China Sea at Luzon Strait can be remotely influenced by the downstream intrusion into the East China Sea. J. Geophys. Res.  http://dx.doi.org/10.1029/2023JC019868

17. He, Weibang, Yang Yang, and X. San Liang*, 2023: Mechanisms in generating and connecting the Yanni-mode and Rossby-mode tropical instability waves in the Equatorial Pacific. Deep-Sea Res. I, 197 (2023), 104041, DOI: 10.1016/j.dsr.2023.104041

18. Vaid, B.H.*, and X. San Liang, 2023:  Additional possible cause of the erratic 2009 monsoon over South and East Asia: Large-scale change in the upper tropospheric temperature.  Atmosphere-Ocean.DOI:  10.1080/07055900.2023.2177136 https://doi.org/10.1080/07055900.2023.2177136

19. Zhang, Yinchen, X. San Liang*, 2023: The distinct PNA pattern induced by the South China Sea. Climate Dynamics. DOI: 10.1007/s00382-022-06607-4

20. Zhang, Zhuang, X. San Liang*, 2022: Multiscale interactive processes underlying the heavy rainstorm associated with a landfalling atmospheric river. Atmosphere, 13, 29. DOI: 10.3390/atmos13010029

21.  Liang, X. San*, 2022: The causal interaction between complex subsystems. Entropy, 24, 3. DOI: 10.3390/e24010003

22. Zhang, Yinchen, X. San Liang*, 2022: The causal role of South China Sea on the Pacific-North American teleconnection pattern. Climate Dynamics. 59, 1815-1832. DOI: 10.1007/s00382-021-06070-7

23. Zhao, Yuhui, Yang Yang, X. San Liang*, Yuanzhi Zhang, 2022: Different mechanisms for the seasonal variations of the mesoscale eddy energy in the South China Sea. Deep-Sea Res.Part I, 179 (2022), 103677. DOI: 10.1016/j.dsr.2021.103677.

24. Docquier, David*, Stephane Vannitsem, F. Ragone, K. Wyser, X. San Liang, 2022: Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Geophys. Res. Lett. DOI: 10.1029/2021GL095892.

25. Vannitsem, Stéphane*, X. San Liang, 2022: Dynamical dependencies at monthly and interannual time scales in the climate system: Study of the North Pacific and Atlantic regions.  Tellus A74(2022), 141-158. DOI: 10.1080/16000870.2022.204572

26.  Rong, Yineng,X. San Liang*, 2022: An information flow-based sea surface height reconstruction through machine learning. IEEE Transactions on Geoscience and Remote Sensing, Vol . 60, 1-9. DOI: 10.1109/TGRS.2022.3140398

27. Lu, Xunfa*, Kai Liu, X. San Liang, Kin Keung Lai, Hairong Cui, 2022: The dynamic causality in sporadic bursts between CO2 emission allowances prices and clean energy index. Environmental Science & Pollution Research, DOI:10.1007/s11356-022-21316-5.

28. Guo, Ziyu, X. San Liang*, 2022: Nexus of ambient flow and squall line via turbulence in the March 2018 meso-scale convective system over Southeast China. Atmospheric Research, 277106287. DOI: 10.1016/j.atmosres.2022.106287.

29. Xu, Fen, X. San Liang*, 2022: Drastic change in dynamics as Typhoon Lekima experiences an eyewall replacement. Frontiers of Earth Science,16(1): 121-131. DOI: 10.1007/s11707-020-0865-6.

30. Liang, X. San*, 2021: Normalized multivariate time series causality analysis and causal graph reconstruction. Entropy, 23, 679. DOI:10.3390/e23060679

31. Liang,X. San*, 2021: Measuring the importance of individual units in producing the collective behavior of a complex network. Chaos, 31, DOI:10.1063/5.0055051

32. Yang, Yang, X. San Liang*, Hideharu Sasaki, 2021: Vertical coupling and dynamical source for the intraseasonal variability in the deep Kuroshio Extension. Deutsche Hydrographische Zeitschrift (Ocean Dynamics), 71, 1069-1086. DOI: 10.1007/s1023-021-01482-9.

33. Rong, Yineng, X. San Liang*, 2021: Panel data causal inference using a rigorous information flow analysis for homogeneous, independent and identically distributed datasets. IEEE Acces. DOI: 10.1109/ACCESS.2021.3068273

34. Liang, X. San*, Xiu-Qun Yang, 2021: A note on causation versus correlation in an extreme situation. Entropy, 233, 316. DOI: 10.3390/e23030316.

35. Liang, X. San*, Jianyu Hu, 2021: Absolute instabilities in the spatially developing Kuroshio Extension. Dyn. Atmos. Oceans. 93, 101205.      DOI:10.1016/j.dynatmoce.2021.101205

36. Yang, Y., J.C. McWilliams, X.S. Liang*, H. Zhang, R.H. Weisberg, Y. Liu, D. Meemenlis, 2021: Spatial and temporal characteristics of the submesoscale energetics in the Gulf of Mexico. J. Phys. Oceanogr., 51(2), 475-489.

37. Tao, Li*, X. San Liang, Lin Cai, Jiuwei Zhao, Meng Zhang, 2021: Relative contributions of global warming, AMO, and IPO to the land precipitation variabilities since 1930s. Clim. Dyn.DOI: 10.1007/s00382-020-05584-w

38. Xu, Fen, X. San Liang*2020: The synchronization between the zonal jet stream and temperature anomalies leads to an extremely freezing North America in January 2019. Geophys. Res. Lett., 47, DOI:10.1029/2020GL089689.(封面亮点文章)

39. 容逸能、马继望、李瑶婷、梁湘三*, 2021:一次自上而下的高原涡的多尺度动力学分析. 气象科技进展, 11(1), 7-18(封面亮点文章)

40. Lu, Xunfa*, Kai Liu, X. San Liang, Zhengjun Zhang, Hairong Cui, 2020: The break point-dependent causality between the cryptocurrency and emerging stock markets. Journal of Economic Computation & Economic Cybernetics Studies & Research. Vol. 54, No. 4, 203-216.

41. Xiao, H., F. Zhang*, L. Miao, X.S. Liang, K. Wu, R. Liu, 2020: Long-term trends in Arctic surface temperature and potential causality over the last 100 years. Clim. Dyn. DOI: 10.1007/s00382-020-05330-2

42. 马继望, 梁湘三*, 2020.大西洋阻塞高压上层冷中心的成因。大气科学学报,433),469-480. doi:10.13878/j.cnki.dqkxxb.20170601002.  

43. Yang, Y., R. Weisberg, Y. Liu, and X.S. Liang, 2020: Instabilities and Multiscale Interactions Underlying the Loop Current Eddy Shedding in the Gulf of Mexico. J. Phys. Oceanogr., 50, 1289-1317.

44. 李刚、马继望、梁湘三*, 2020: 20081月中国南方低温雨雪期间异常阻塞高压事件的多尺度动力过程分析. 气象学报, 78(1), 18-32.

45. Hagan, D.F.T., G. Wang, X.S. Liang, A.J.D. Dolman, 2019: A time-varying causality formalism based on the Liang-Kleeman information flow for analyzing directed interactions in nonstationary climate systems. J. Clim. 32, 7521-7537.

46. Vaid, B.H., X. San Liang, 2019: The out-of-phase variation in vertical thermal contrast over the western and eastern sides of the Tibet Plateau. Pure and Applied Geophysics. DOI : 10.1007/s00024-019-02268-3

47. Yang, Yang, X. San Liang*, 2019: Spatiotemporal variability of the global ocean internal processes inferred from satellite observations. J. Phys. Oceanogr.49, 2147-2164.

48. Yang, Yang, X. San Liang*, 2019: New perspectives on the generation and maintenance of the Kuroshio large meander. J. Phys. Oceanogr., 49, 2095-2113.

49. Zhao, Y.B., and X.S. Liang*, 2019: Charney’s model the renowned prototype of baroclinic instability is barotropically unstable as well. Adv. Atmos. Sci. , 36(7), 733-752, doi: 10.1007/s00376-019-8189-8 

50. Liang, X. San*, 2019: A study of the cross-scale causation and information flow in a stormy model midlatitude atmosphere. Entropy, 21, 149 (1-21).

51. Zhao, Yuan-Bing, X. San Liang*, Zhaoyong Guan, Kevin I. Holdges, 2019: The asymmetric eddy-background flow interaction in the North Pacific storm track. Quarterly Journal of the Royal Meteorological Society, 145, 575-596.

52. 杨洋, 梁湘三. 2019. 黑潮流域内在的平均流-低频变率-中尺度涡之间的非线性相互作用. 中国科学: 地球科学, 49: 1–15, DOI: 10.1360/N072018-00133English version available

53. 赵远冰、梁湘三*, 2019: 北太平洋“深冬抑制”的能量学过程与物理成因, 中国科学—地球科学1-19. DOI:10.1360/N072018-00047.English version available

54. Liang, X. San*, 2018Causation and information flow with respect to relative entropy. Chaos. 28, 075311. DOI:10.1063/1.5010253

55. Zhao, Yuan-Bing, X. San Liang*, 2018: On the inverse relationship between the boreal wintertime Pacific jet strength and storm-track intensity. J. Clim., 31, 9545-9564.  

56. 赵远冰、梁湘三*、朱伟军, 2018: 东亚地区南北两个风暴源地中风暴的结构和动力学差异. 气象学报,765):663-679.

57. Yang, Yang, X. San Liang*, 2018: On the seasonal eddy variability in the Kuroshio Extension. J. Phys. Oceanogr. 48, 1675-1689. DOI: 10.1175/JPO-D-18-0058.1

58. Vaid, B.H., and X. San Liang, 2018: The changing relationship between the convection over the western Tibetan Plateau and the sea surface temperature in the northern Bay of Bengal. Tellus A, DOI10.1080/16000870.2018.1440869

59. Rong, Yineng, and X. San Liang*, 2018: A study of the impact of the Fukushima nuclear leak on the East China coastal regions. Atmosphere-Ocean. DOI:10.1080/07055900.2017.1421139.

60. Bai, C., R. Zhang, S. Bao, X. San Liang, and W. Guo, 2018: Forecasting the tropical cyclone genesis over the Northwest Pacific through identifying the causal factors in the cyclone-climate interactions. J. Atmos. Ocean Tech., 35, 247-259 DOI: 10.1175/JTECH-D-17-0109.1


其它情况

本人长期招收人工智能、动力气象、物理海洋、脑机接口等方向的博士后、博士与硕士研究生,有意者请联系 majiwang@sml-zhuhai.cn(马老师)


#以上信息由本人提供,更新时间:2024/03/15