What else can artificial intelligence do this year?
Predict the World Cup, Oscars, Football Lottery, publish bestsellers, be a host...
Today's AI is definitely a decathlon player + god operator who knows everything about piano, chess, calligraphy and painting!
No, after day and night training (gai) training (ban), AMiner's "Xiaomai Scouting" prediction function was launched again today. What are we measuring this time?
Xiaomai heard that the list of IEEE/ACM Fellows for the new year will be released soon.
Want to know in advance which big cows can be selected?
Want to know if your tutor is on the list?
Why don't you hesitate, come and try Aminer "Xiaomai Scout"!
The AMiner system covers 130 million scholars. We have already locked the people you want to find!
Forecast entry
Scan the following two-dimensional code, you can also directly enter the prediction channel!
1. Open the test address and enter the name of the scholar
Under the search box, Xiaomai also launched a number of tomorrow's stars, you can choose your favorite scholars to make predictions!
2. The system will show all scholars with the same name, and you need to manually select the designated scholar
The AMiner database contains information of 130 million scholars. As a massive database, you can find the information of any expert or scholar. At the same time, due to the same name and other factors, you need to manually identify the expert you want to predict.
3. View the forecast results
The system will feed back a prediction result, telling you what the scholar is most likely to receive, and what is the probability of winning the award. At the same time, you can click on the dashboard and select the award you want to test in the pop-up window. As reference information, Xiaomai will display the scholar's award status, research field, number of paper citations and other academic indexes, and will also recommend his students, scholars similar to him, and close collaborators with him.
4. Long press to save and share with friends
Youmu is very powerful, Xiaomai is waiting for you to test!
Xiaomai prediction
The International Institute of Electrical and Electronics Engineers (IEEE) is an international society of electronic technology and information science engineers. IEEE has nearly 420,000 members in more than 160 countries, of which more than 50% are from outside the United States.
IEEE Fellow is the highest-level member of the society, and is the highest honor awarded by IEEE. It is selected by IEEE peer experts among members with senior or life level each year. The elected person needs to make contributions to the progress or application of engineering science and technology. Significant contribution, bringing great value to society. The number of elected members does not exceed 1‰ of the total number of IEEE members that year. Since the number of IEEE Fellows elected every year is small, the selected scientists are basically outstanding scientists who have made important achievements in the fields of science and engineering technology.
After preliminary screening of existing IEEE members, Xiaomai, after excluding scholars who have obtained Fellows in the past and who do not meet the selection criteria, compares these scholars' papers, H index, number of citations, activity, sociality and other related indicators , Analyze each index one by one, use deep learning algorithms to mine the inherent laws, and then predict the probability of scholars to obtain a certain honor.
The following scholars are the list of scholars who have a higher probability of obtaining IEEE Fellows calculated by Xiaomai:
Let's take a look at this big cow first. Jiang Tao is a professor at the University of California, Riverside. As early as 2007, he was selected as an ACM Fellow.
His H index is 67, and his citations are as high as 16,652. Xiaomai thinks that he is a highly accomplished and highly cited expert and scholar by looking through a vast array of data.
Let's take a look at his resume. Jiang Tao received a bachelor's degree in computer science from the University of Science and Technology of China in 1984, and a doctorate in computer science from the University of Minnesota in the United States in 1988. From 1989 to 2001, he worked as an assistant professor, associate professor, and professor in the Department of Computing and Software at McMaster University in Canada. Since 1999, he has been a professor in the Department of Computer Science at the University of California, Riverside. He is also a member of the Algorithm and Computational Biology Laboratory, the Institute of Integrated Genomic Biology, and the Plant Cell Biology Center. Jiang Tao is also a visiting scholar at Tsinghua University and Shanghai Center for Bioinformatics (SCBIT).
Jiang Tao is a young authority in the field of computational complexity and bioinformatics. His research fields include computational molecular biology, biological databases, and algorithm design and analysis. He has developed a series of bioinformatics algorithms for sequence alignment, phylogenetic analysis, comparative genomics, and DNA chips.
There is also a big cow who has been calculated by Xiaomai and found that he is a new scholar with high activity and high citations. He is in Internet, Quality of Service, P2p, Bandwidth, Network Topology, Internet Traffic, Transport Protocols, Queueing Theory, etc. There are extensive contributions in this regard, with an H index of 46 and a high number of citations of 8507.
He is Marco Mellia, a professor at the School of Electronics and Telecommunications of the Politecnico di Torino, and the co-founder of the Ermes cybersecurity company.
He has published more than 300 papers in international journals and international conferences in the fields of telecommunications networks and other fields, and holds 9 patents. Won the IRTF Applied Network Research Award in 2013, and won the Best Paper Award in ACM CoNEXT 2013, IEEE TRAC 2015, IEEE ICDCS 201, ITC 2015, and ITC 2018.
His research interests mainly include traffic monitoring and analysis, as well as the application of traffic safety and traffic management, and the application of big data technology for traffic analysis.
Let's take a look at this big cow! He is the fastest-rising chief scientist in the history of the former Adobe; he has published 65 academic papers at the three top conferences at the same time, has brought 31 doctoral interns, and obtained 64 US patents; he has helped Hollywood image special effects company Won the Oscar Science and Technology Award; he is leading a global team to create the king of AI imaging; he is the head of MEGVII Research US-Wang Jue.
Wang Jue studied at Tsinghua University and received his Ph.D. from the University of Washington in 2007, and then joined Adobe Research. With his outstanding research results, in just 6 years, he has been promoted from an assistant researcher several ranks to a chief scientist (Principal Scientist).
Wang Jue has published papers in the highest-level conferences and journals in three fields: computer vision, computer graphics (including 11 SIGGRAPH) and human-computer interaction. His research results are widely used in various Adobe products. It has been Adobe for nearly 10 years. The image processing software upgrade provides strong technical support.
He has an H index of 35 and citations of 5901. According to Xiaomai, he is also a cutting-edge scholar with high activity and high citations.
After talking about the above scholars, do you still want to know which scholars can get IEEE Fellow this year?
Hurry up and let Xiaomai help to test it! Think it's fun, please remember to share it with your friends!
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