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At the 2020 Annual Conference of the Chinese Complexity Science Society, students from Professor Dingding Han's Laboratory for Ultra-Complex Network Science and Intelligent Systems presented academic reports
        Date : 2020-08-23     Clicks:

On August 23, 2020, five students from Professor Dingding Han's Laboratory for Ultra-Complex Network Science and Intelligent Systems—Xu Mingyue, Yang Zhengzhuang, Zhao Kaidi, Chen Zhuoran, and Yang Chao—delivered academic reports at the 2020 Annual Conference of the Chinese Complexity Science Society, held at Qinghai Normal University. The conference was broadcast live online for a total of 5 hours, attracting 6,500 viewers.

The academic reports covered topics such as Network-VI: A Complex Network Visual Interactive Analysis System, and Adaptive Algorithms for Fast and Stable Community Detection Based on the Principle of Small Probability Events. The presentations provided detailed explanations and analyses on research backgrounds and significance, including studies on static and time-varying networks, historical data models, and real-world applications like logistics transportation with V-based cases, as well as scenarios such as T-CPS.


Xu Mingyue is giving a report


Yang Zhengzhuang is giving a report


Zhao Kaidi is giving a report


Chen Zhuoran is giving a report


Yang Chao is giving a report


The reports presented by several students were outstanding and received high praise from the organizing committee. Among them, the software developed by Yang Chao was particularly recognized by everyone and has already been open-sourced.



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