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Seminar on Internet Technologies (Winter 2020 2021): Difference between revisions
Seminar on Internet Technologies (Winter 2020 2021) (view source)
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|credits=5 ECTS (BSc/MSc AI); 5 (ITIS) | |credits=5 ECTS (BSc/MSc AI); 5 (ITIS) | ||
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu] | |lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu] | ||
|ta =Tingting Yuan [ | |ta =Tingting Yuan [tingting.yuan@cs.uni-goettingen.de], [http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] and [http://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao, Sripriya Srikant Adhatarao] | ||
|time=Nov 4th. Register on ecampus before Nov 8th.'''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.''' | |time=Nov 4th. Register on ecampus before Nov 8th.'''Please read this introduction slide [https://docs.google.com/presentation/d/13hmKYBmB4tbTFNeK1GvBAs1qZntMYo75o8ycb1NgYXI/edit?usp=sharing]. If there is any question, please contact teaching assistants.''' | ||
|place=Through Zoom, waiting link | |place=Through Zoom, waiting link | ||
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=262017&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung] | |univz= [https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=262017&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung] | ||
}} | }} | ||
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==Schedule== | ==Schedule== | ||
* '''7th Nov. 2020 ''': Deadline for registration the course | |||
* ''' | * '''20th Jan. 2021 ''': Deadline for registration to attend the final presentation | ||
* '''Jan. | * '''28th Jan. 2021 (14:00-18:00)''' : Final Presentations online (waiting for the link) | ||
* ''' | * '''28th March 2021 (23:59) ''': Deadline for submission of the report (should be sent to the topic adviser!). | ||
== Topics == | == Topics == | ||
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using neural networks in the research field of Physics is nowadays more | using neural networks in the research field of Physics is nowadays more | ||
and more significant. The student is expected to be interested in the | and more significant. The student is expected to be interested in the | ||
interdisciplinary subject of physics and computer science. | the interdisciplinary subject of physics and computer science. | ||
| Basic programming knowledge, Basic machine learning knowledge | | Basic programming knowledge, Basic machine learning knowledge | ||
| [Yunxiao Zhang, yunxiao.zhang@ds.mpg.de] | | [Yunxiao Zhang, yunxiao.zhang@ds.mpg.de] | ||
| Line 71: | Line 71: | ||
| [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao] | | [http://www.net.informatik.uni-goettingen.de/?q=people/sripriya-srikant-adhatarao Sripriya Adhatarao] | ||
| | | | ||
| | | No | ||
|- | |- | ||
| | | Graph neural network | ||
| In this topic, you will study | | In this topic, you will study graph neural networks (GNNs), which are connectionist models that capture the dependence of graphs via message passing between the nodes of graphs. | ||
| Basic programming knowledge, Basic machine learning knowledge | | Basic programming knowledge, Basic machine learning knowledge | ||
| [Tingting Yuan, tingt.yuan@hotmail.com] | | [Tingting Yuan, tingt.yuan@hotmail.com] | ||
|[https:// | |[https://arxiv.org/pdf/1812.08434.pdf?source=post_page] | ||
| | | No | ||
|- | |||
|AI painter | |||
| In this topic, you will study how AI has been used for painting. | |||
| Basic programming knowledge, Basic machine learning knowledge | |||
| [Tingting Yuan, tingt.yuan@hotmail.com] | |||
|[https://topten.ai/ai-painting-generators/] | |||
| No | |||
|- | |- | ||
| The maximum throughput problem in quantum entangle routing | | The maximum throughput problem in quantum entangle routing | ||
| In this topic, you will study entanglement routing problem in quantum network, which is a novel network built on quantum mechanics. | | In this topic, you will study the entanglement routing problem in a quantum network, which is a novel network built on quantum mechanics. | ||
| Basic programming knowledge, Basic mathematical programming knowledge | | Basic programming knowledge, Basic mathematical programming knowledge | ||
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de] | | [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de] | ||
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|- | |- | ||
| Data augmentation with generative adversarial network (GAN) | | Data augmentation with generative adversarial network (GAN) | ||
| Image classification datasets are often imbalanced, characteristic that negatively affects the accuracy of deep-learning classifiers. In this | | Image classification datasets are often imbalanced, characteristic that negatively affects the accuracy of deep-learning classifiers. In this topic, you will learn to use GAN as an augmentation tool to restore balance in imbalanced datasets. This is challenging because the few minority-class images may not be enough to train a GAN. | ||
| Familiar with machine learning and deep learning; image processing with using python; | | Familiar with machine learning and deep learning; image processing with using python; | ||
| [Yachao Shao, yachao.shao@cs.uni-goettingen.de] | | [Yachao Shao, yachao.shao@cs.uni-goettingen.de] | ||
| [https://arxiv.org/abs/1803.09655] | | [https://arxiv.org/abs/1803.09655] | ||
| Yes | | Yes | ||
|- | |||
| Passenger flow prediction with machine learning | |||
| You will study existing methods and algorithms used for the prediction of passenger flow in an urban area to determine the demand for buses, trams or trains. | |||
| Basic machine learning knowledge | |||
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de] | |||
| | |||
| No | |||
|- | |||
| Optimization of public transport schedules | |||
| You will study techniques and algorithms to optimize the schedules for public transport systems. | |||
| Basic machine learning knowledge, Basic mathematical knowledge (knowledge in mathematical optimization problems can be helpful, but is not mandatory) | |||
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de] | |||
| | |||
| No | |||
|- | |||
| Automatic Classification of Time Series (ACTS) | |||
| In this project you will apply machine learning techniques to identify differences and similarities in the evolution of real-world phenomena across different regions and countries, like the spread of the SARS-CoV2 virus. The student is expected to have prior knowledge in data science and programming skills. | |||
| Basic programming knowledge, basic machine learning knowledge | |||
| Pablo Gutierrez-Marques p.gutierrezmarques01@stud.uni-goettingen.de | |||
| [https://doi.org/10.1080/014311600210308] [https://doi.org/10.1109/ICDE.2017.68] | |||
| No | |||
|- | |- | ||
|} | |} | ||
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The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.). | The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.). | ||
Please note that you can not directly copy content from papers or webpages, as this will be considered plagiarism. All quoted images and tables need to indicate their source. | |||
=== 6. Course schedule=== | === 6. Course schedule=== | ||