Events (Lectures, Webinars, Summer School)
Distinguished Lectures Program (DLP)
|Speaker||Date||Topic||Location||Chapter Chair||Inviting Chapter|
|Kalyanmoy Deb||June 21, 2019||Customized Evolutionary Optimization||DIBRIS - University of Genoa||
|IEEE CIS Italy Section CIS Chapter|
|Rudolf Kruse||July 3, 2019||Decomposable Probabilistic and Possibilistic Graphical Models||Sorbonne University||
Adrien Revault d'Allonnes
|IEEE CIS France Chapter|
|Pau-Choo Chung||September 12-13, 2019||CNN||Queretaro, Mexico||
Saul Tovar Arriaga
|IEEE CIS Queretaro Chapter|
To disseminate advanced knowledge on hot topics in computational intelligence seminars will be organized and distributed through the web free of charge to our members. Past webinars can also be accessed by members free of charge
Webinar Speaker: Dr James Yu
Title: Deep learning on graphs with applications in smart cities research
Date & Time: Wed, Jul 3, 2019 1:00 PM - 2:00 PM GMT
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Deep learning is successful in many research and engineering domains, ranging from acoustics, images to natural language processing. The data in these tasks are typically represented in the Euclidean space. However, there is an increasing number of applications where data are generated from non-Euclidean domains and are represented as graphs with complex relationships and interdependency between objects. The complexity of graph data has imposed significant challenges to apply deep learning to the ubiquitous data structure. Recently, a significant amount of research efforts have been devoted to this area, greatly advancing graph analyzing techniques. In this talk, I will provide an introductory overview of graph neural networks in data mining and machine learning fields, with a focus on graph convolutional networks. I will review alternative architectures that have recently been developed, and discuss the applications of graph neural networks on classical network-related tasks and recent applications in smart cities research.
James is an assistant professor at Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), China, and an honorary assistant professor at Department of Electrical and Electronic Engineering, the University of Hong Kong. He is also the chief research consultant of GWGrid Inc. (Zhuhai) and Fano Labs (Hong Kong). He received the B.Eng. and Ph.D. degree from the University of Hong Kong in 2011 and 2015, respectively. Before joining SUSTech, he was a post-doctoral fellow at the University of Hong Kong. He is broadly interested in smart city and urban computing, deep learning, intelligent transportation systems, and smart energy systems. He is an Editor of the IET Smart Cities journal and the Leading Editor of its special issue on Smart Transport.
When planning to attend a webinar, members should check the location and time zone from where the webinar is broadcast. For all other locations, they should calculate the actual time. Also, members should be aware of the fact that daylight saving time does not begin and end at the same time in different countries.
If they are not sure, members can use a Time Zone Converter.
Members should log in at least 15 minutes earlier to check their connection, hardware, and software and make sure that they are ready to attend the talk when it begins.
The CIS Summer Schools are designed for senior undergraduate, graduate students, post-doc and young researchers who are willingly to deepen their skills in computational intelligence and related areas. The objective is to stimulate them to involve in rapidly evolving fields, and to foster participation in the adventure of research.
- Eligible period: 1 May 2019 to 31 December 2019
- Deadline for submitting the proposal: 14 April 2019 (late submissions may also be considered, but subject to the availability of the budget balance)
- Notification of the outcome of the review process: 30 April 2019
You are encouraged to submit a proposal to hold a CIS summer school in Computational Intelligence from May to December 2019. If the proposal is approved, and upon request, CIS will provide a financial contribution to support the initiative. The amount of the financial support from CIS depends on the available budget, the number of financed proposals and the soundness of the school budget. We recall that organizers can take advantage of other initiatives, e.g., the CIS Distinguished Lecture Program to further support the school (related regulations apply).
The CIS Summer schools subcommittee will review received proposals based on the following criteria:
- The quality of the proposed technical program and topic balance;
- The length of the school;
- The geographical balance of the proposals.
In writing your proposal, please address the following aspects:
- Aim and target.
- Courses and lecturers.
- Tentative program.
- Local organizer(s).
- Registration and accommodation.
- School budget, financial sponsor(s) and requested co-finance from CIS.
A template for the proposals and more details can be found at the Summer School Subcommittee website: https://cis.ieee.org/professional-development/summer-schools