bet365 online sports betting live time：4month22PM14:30-17:00
Tencent conference number:959-119-155
bet365 online sports betting live 1 bet365 online sports betting live title: Interpretable bet365 online sports betting live based on unsupervised learning
bet365 online sports betting live Summary: Personalized recommendation system is a hot research topic in the field of data intelligence research in recent years，Different scholars have studied and established various recommendation systems from different perspectives，Including traditional machine learning recommendation system and deep learning recommendation system。But in recommendation system application，In addition to pursuing high-precision recommendation performance，They also paid great attention to the explainability of the recommendation system。In this bet365 online sports betting live，We will introduce the classic recommendation system method starting from traditional machine learning，Then introduce the deep learning recommendation algorithm，Introduction to explainable recommendation system，And further explore interpretable recommendation systems based on unsupervised learning。
Personal introduction:
Wang Changdong，Associate Professor, School of Computer bet365 online sports betting live, Sun Yat-sen University，Doctoral Supervisor。Received a PhD in Engineering from Sun Yat-sen University in 2013。Received funding from the first Guangzhou Elite Program to study abroad in 2011，As a jointly trained doctoral student，Studying at the University of Illinois-Chicago Campus in the United States from December 2011 to November 2012。His research interests include data clustering、Social Network、Recommendation system、Medical data processing。He has published more than 100 academic papers，includes IEEE TPAMI、IEEE TKDE、IEEE TCYB、IEEE TNNLS and other top international publications and KDD、AAAI、IJCAI、CVPR and other top international conferences，Among them, there are more than 70 papers in journals of the Chinese Academy of Sciences SCI Zone II and above、CCF A、More than 30 Category B conference papers。Presided over the Guangdong Provincial Natural bet365 online sports betting live Foundation-Outstanding Youth Fund、National Key R&D Program Project-Sub-Project、National Natural bet365 online sports betting live Foundation of China-General Project、National Natural bet365 online sports betting live Foundation of China-Youth Fund、CCF-Tencent Rhino Bird Research Fund and other 13 projects。His ICDM2010 paper won the Best Paper Nomination Award；He was nominated for the 2012 Microsoft Research Asia Scholar Award，2015 Outstanding Doctoral Thesis Award of China Artificial Intelligence Society，2017 Guangdong Special Support Program “Young Top-notch Talents in bet365 online sports betting live and Technology Innovation”，First Prize of Guangdong Provincial Natural bet365 online sports betting live Award 2018、Second Prize of Guangdong Provincial Natural bet365 online sports betting live Award 2020。He is the associate editor (AE) of the Journal of Artificial Intelligence Research (JAIR), an authoritative journal on artificial intelligence。He is the 16th International Conference on Advanced Data Mining and Applications，PC Co-chair of ADMA 2020。He is a member of the Pattern Recognition Professional Committee of the China Artificial Intelligence Society，Member of China Computer Federation-Database Professional Committee，Member of China Computer Federation-Computer Vision Professional Committee，Vice Chairman of CCF Guangzhou Branch (2019.3-2021.3），CCF-YOCSEF Guangzhou Chairman (2020-2021)，Director of Student Chapter of CCF Guangzhou Branch (2021.4-2023.4），Leader of the CCF Student Chapter Working Group (2021.4-2022.4）。
bet365 online sports betting liveTitle: Complex Graph Neural Network Modeling and Inference
bet365 online sports betting liveAbstract:Graph neural network(GNN) has quickly gained favor from academic and industrial circles since it was proposed，Becoming a hot spot in AI research。Existing graph neural network models mainly focus on network representation learning and its applications，And made a lot of important progress。Recently, some researchers have begun to focus on the reasoning of graph neural networks，Hope to further improve the intelligence level of graph neural networks from the perspective of perception to cognition。This bet365 online sports betting live first introduces the basic method of GNN，Then introducedGNN modeling and solving methods for complex graphs，The work of GNN inference will be introduced later，Last versus currentThe development trend of GNN will be discussed.
Personal introduction:
Jindi，Yingcai Associate Professor (Distinguished Researcher), Department of Intelligent Computing, Tianjin bet365 online sports betting live，Doctoral Supervisor。Received PhD from Jilin University in 2012。Has been engaged in graph data mining research，Published more than 50 CCF Class A papers，Hosted 2 projects of National Natural bet365 online sports betting live Foundation of China、2 national key research and development plan sub-projects。Served as CCF Category B、Associate Editor of JCR Area 1 Journal Information Sciences，PC Board Member of IJCAI, CCF Class A Conference。Won the runner-up of the CCF Category A Conference WWW 2021 Best Paper Award (2/1736)，Runner up of the top data mining conference CCF Category B Conference ICDM 2021 Best Student Paper Award (4/990)，"Journal of Automation" 2012 Excellent Paper Award，ACM China Tianjin Chapter Emerging Award, First Prize of bet365 online sports betting live and Technology Progress Award of China Business Federation。
