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
