Since the Nobel Prize in Physics was awarded for the understanding of complex systems in 2021, complexity science has emerged as a focal subject of almost all applied disciplines. IdopNetwork has proven its power to reconstruct informative, dynamic, omnidirectional, and personalized networks from a wide spectrum of data domains and application scenarios. Its seamless integration with Prof. Yau's GLMY homology theory can shed light on the creation of a new subdiscipline – topological statistics. This subdiscipline could provide a powerful tool to characterize the hidden patterns of complex systems and also potentially facilitate the development of AI theory and applications.

To disseminate idopNetwork into a broader science community, BIMSA applied statistics team organizes a mini-workshop on the reconstruction of idopNetwork. Several seasoned statisticians will provide an overview of key statistical approaches applied to network inference. Experienced post-docs and students will give a step-by-step procedure of how an idopNetwork is recovered from messy data. Many examples will be illustrated.

Program

2024-04-18

08:40-09:40

Kiranmoy Das (BIMSA)

Statistics: Current Status and Future Direction

10:00-11:00

Shailesh Lal (BIMSA)

AI-based Statistical Models

11:00-12:00

Jie Wu (吴杰 , BIMSA)

GLMY Homology Theory

13:30-14:30

Rongling Wu (邬荣领 , BIMSA, YMSC)

Curse of Nonlinearity: How Advanced Statistics Promotes AI

14:30-15:30

Shuang Wu (吴双，Beijing Forestry University & BIMSA)

Data Structure for Network Reconstruction: Data fitting by the Power Law

16:00-17:00

Zhifan Li (李智凡 , BIMSA)

A Systematic Survey on Variable Selection

17:00-18:00

Ang Dong（董昂 , BIMSA）

Data Structure for Network Reconstruction: Functional Clustering

2024-04-19

08:30-09:30

Wenkui Sun (孙文奎 , Dalian University of Technology)

Deep Learning of Quasi-dynamic ODE

09:30-10:30

Yu Wang (王宇 , Inner Mongolia Normal University & BIMSA)

A User’s Guide of ChatGPT

10:50-11:20

Zhifan Li (李智凡 , BIMSA)

Programing Issues for idopNetwork Reconstruction: Variable Selection

11:20-11:50

Ang Dong (董昂 , BIMSA)

Programing Issues for idopNetwork Reconstruction: Functional Clustering

13:30-14:00

Jincan Che (车金灿 , Beijing Forest University)

Applications of idopNetwork: Pharmacological Network

14:00-14:30

Huiying Gong (龚慧莹 , Beijing Forest University & BIMSA)

Applications of idopNetwork: Soil microbiota Network

14:30-15:00

Shuyuan Xu (续舒苑 , BIMSA-UCAS)

Applications of idopNetwork: Leukemia Network

15:00-15:30

Yangyang Bian (边洋洋 , Beijing Forestry University & BIMSA)

Applications of idopNetwork: Haplotype Network 1

16:00-16:30

Changjian Fa (法昌健 , Beijing Forestry University & BIMSA)

Applications of idopNetwork: Meihua Network

16:30-17:00

Wenqi Pan (潘文祺 , Beijing Forestry University & BIMSA)

Applications of idopNetwork: Haplotype Network 2

17:00-17:30

Yu Wang (王玉 , Beijing Forestry University & BIMSA)

Applications of idopNetwork: Tibet Poplar Network

17:30-18:00

Rongling Wu (邬荣领 , BIMSA,YMSC)

Prospects for idopNetwork and Its Value to AI