The complementary strengths and challenges between spatiotemporal data computing and deep learning in recent years suggest urgent needs to bring together the experts in these two domains in prestigious venues, which is still missing until now. This workshop will provide a premium platform for both research and industry to exchange ideas on opportunities, challenges, and cutting-edge techniques of deep learning in spatio-temporal data, algorithms, and systems. Full research papers and short position papers will be accepted under the topics include, but not limited to, the following two broad categories:

Novel Deep Learning Techniques for Spatial and Spatio-Temporal Data:

- Convolutional, recurrent, and deep neural network techniques.
- Representation learning and embedding based on deep learning
- Scalable deep learning algorithms for large data.
- Interpretable deep learning for spatial-temporal data.
- Learning representation on heterogeneous networks, knowledge graphs
- Deep generative models, adversarial machine learning
- Deep reinforcement learning
- Theory of deep learning for spatio-temporal data

Novel Applications of Deep Learning on Spatial and Spatio-Temporal Data:

- Remote sensing and land cover change detection/classification
- Trajectory/mobility data mining and prediction
- Spatial crowdsourcing
- Location-based social network data analytics, event prediction and forecasting
- Smart cities and ride-sharing (e.g., taxi demand forecasting)
- Other applications of deep learning

Important Dates:
Paper Submission: August 8, 2019
Notification of Acceptance: September 17, 2019
Camera-ready Papers: October 1, 2019
Workshop Date: November 8, 2019

Submission Instructions:
The workshop will encourage the submissions of both full research papers presents concrete research techniques and experimental results, as well as short position papers that identify and discuss the grand challenges and research opportunities on the topics of interests. All the workshop events will give enough time for attendant discussions. In particular, the workshop will consist of a series of the following events:

Full research papers presentations: 25 minutes including 15 minutes for author presentation and 10 minutes for attendant discussion about the work.
Short position papers presentations: 20 minutes including 10 minutes for author presentation and 10 minutes for attendant discussion about the proposed vision.
All manuscripts should be submitted in PDF format and formatted using the IEEE Proceedings templates available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

All the papers should be submitted through our online system whose link will be available soon.

One author per accepted workshop contribution is required to register for the conference and workshop, to attend the workshop and to present the accepted submission. Otherwise, the accepted submission will not appear in the published workshop proceedings or in the workshop proceedings.

Contacts:
Liang Zhao (George Mason University): lzhao9@gmu.edu
Xun Zhou (University of Iowa): xun-zhou@uiowa.edu
Feng Chen(SUNY, Albany): fchen5@albany.edu