hour Time: May 25, 2022 (Wednesday)
15:00-17:30 pm
Place Point: Smart Academic Classroom 535, Information Building, New Campus, Central South University
一、Introduction to the speaker
Lu Chengqian，Postdoctoral Researcher, School of Computer Bet365, Central South University。Current research areas include computational biology、Machine Learning、Graph Neural Network，Special focus on long non-coding RNA、Prediction of functions of circular RNAs and their association with diseases。Currently chairing the National Natural Bet365 Foundation of China Youth Fund "Research on the correlation between circular RNA and disease based on latent factor model"。
Bet365 Summary: With the completion of the Human Genome DNA Element Encyclopedia Project，Produced a massive amount of biological Bet365，Discover circRNAs that have important biological functions and are closely related to diseases。Multiple sources of Bet365 characterize the functions of circRNA and other biomolecules in the pathogenesis process from different angles，and changes in related regulatory pathways。How to accurately construct organisms from massive multi-source data、Efficient acquisition of representations of circular RNAs and other disease-causing molecules、Deepening the understanding of the molecular functions of circRNAs and improving the accuracy of predicting the association between circRNAs and diseases are becoming important challenges in the current era of biological Bet365 data。In this report，Will introduce functional mining of circular RNA、A series of Bet365 work on the construction of pathogenic-related multi-source heterogeneous networks and innovative heterogeneous network algorithms。Special cases for biomolecular properties and biological problems，Combined with deep learning、Graph neural network and attention mechanism，Related experiments and case studies show the reliability of the model，Provides meaningful reference for complex disease mechanism Bet365 and drug development。
2. Introduction of the speaker
Chen Xuehan，Postdoctoral researcher at the School of Computer Bet365, Central South University。Dr. Chen Xuehan studied at Central South University for his bachelor’s degree, master’s degree and Ph.D.，The tutor is Professor Chen Zhigang；Two years of joint training at Illinois Institute of Technology in the United States from 2017 to 2019，The instructor is Lin X.Professor Cai。The main Bet365 directions are green communications and network optimization, etc.。Currently in IEEE Network、Published many articles in well-known domestic and foreign journals such as IEEE TWC，And presided over 2 national projects。
Bet365 Summary: The large-scale deployment of the Internet of Things has brought new challenges to wireless data communication technology，New network design is urgently needed to meet the practical application needs of the Internet of Things。This Bet365 addresses the randomness of energy harvesting processes in the Internet of Things、Dynamic nature of network conditions、Key issues such as large-scale and heterogeneous data transmission requirements，Proposed an adaptive resource allocation algorithm and distributed Bet365 transmission mechanism，To achieve energy sustainable Internet of Things，Meet the diverse application needs of the Internet of Things，Also improve network performance.
3. Introduction of the speaker
Guo Lin，Postdoctoral Research Institute of Bet365 Data, Central South University，Assistant Researcher，Is the academic backbone of the "artificial intelligence doctor", the key research direction of the Bet365 Data Research Institute。His current research areas include body area networks、Arrhythmia signal monitoring、Reinforcement Learning and Stochastic System Optimization，Specially focuses on the Bet365 on accurate arrhythmia identification and real-time reliable early warning methods for ECG body area network，Relevant research results were published and accepted in the top Internet of Things journal IEEE Internet of Things Journal (District 1, Chinese Academy of Sciences，IF=9.936) and the top artificial intelligence journal IEEE Transactions on Cybernetics (District 1, Chinese Academy of Sciences，IF=11.448)。Dr. Guo Lin received funding from the “National Natural Bet365 Foundation of China Youth Bet365 Fund Project” and the “Third Batch of Postdoctoral Fund Special Grants (in front of the station)” during his stay at the station；In addition，The research project he participated in "Data Processing for Ubiquitous Power Internet of Things" has passed the preliminary online evaluation of the third prize of the Hunan Provincial Natural Bet365 Award in 2021。
Bet365 Summary: The aging of the population has brought tremendous pressure to the public health system，More than 80% of the elderly population is suffering from chronic diseases，Among them, cardiovascular disease mortality has always ranked first。In this context，The ECG body area network came into being，It is a cardiovascular health monitoring system based on Internet of Things technology。For ECG body area network，How to provide patients with immediate、Accurate、Reliable cardiovascular disease monitoring and early warning services，has important theoretical significance and application value。In this Bet365，I will introduce our research work on high-precision identification of arrhythmia signals and efficient real-time transmission strategies of ECG Bet365 in ECG body area networks，The Bet365 results will form a chronic disease monitoring support system based on body area network，Alleviating the current uneven distribution of medical resources in our country，And the mortality rate from cardiovascular disease is increasing year by year.
4. Introduction of the speaker
Liu Baoju，Postdoctoral researcher at the Bet365 Data Institute of Central South University，is an academic backbone in key research directions such as intelligent application of transportation big data。His current research areas include spatial big data analysis、Human activity pattern recognition and urban complex system optimization，Special focus on modeling of complex geographic spaces、Optimization and Application。Dr. Liu Baoju has been approved by the National Natural Bet365 Foundation of China since joining the site in February 2021，And published 5 SCI papers as the first or corresponding author in top journals in IEEE TSMCS and other fields，1 A2 level Chinese core paper，3 authorized invention patents。Also serves as IEEE JSTARS、CEUS、Reviewer of multiple journals such as IJGI。
Bet365 Summary: Geographic space can be characterized as a complex system that incorporates human activities，It is complex and diverse、Complex features such as dynamic randomness and self-organized evolution。Limited by the lack of Bet365 sources and lack of cognitive means，We still have difficulty understanding the driving mechanisms of such complex systems，The current era of Bet365 data has given us a deep understanding、Optimizing this complex system provides new opportunities。In this report，I will introduce our modeling of complex geographic spaces、Cognition and Optimization Work。We reveal the dynamic interaction mechanism of complex spatial systems based on Bet365 data of human activities，Integrate human behavioral characteristics to dynamically optimize the self-organizing evolution process of complex human-land systems，In this way, the efficient operation of the complex transportation system is achieved.
