Publications

Shayan Shams, Sayan Goswami, Kisung Lee (2019). Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study. 2019 20th IEEE International Conference on Mobile Data Management (MDM).

S. Goswami, K. Lee, S. Shams, S. Park (2018). GPU-Accelerated Large-Scale Genome Assembly. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Shayan Shams, Sayan Goswami, Kisung Lee, Seungwon Yang, Seung-Jong Park (2018). Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS).

Lei Zou, Nina SN Lam, Shayan Shams, Heng Cai, Michelle A Meyer, Seungwon Yang, Kisung Lee, Seung-Jong Park, Margaret A Reams (2018). Social and geographical disparities in Twitter use during Hurricane Harvey. International Journal of Digital Earth.

Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Kisung Lee, Seung-Jong Park (2018). Deep generative breast cancer screening and diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention.

Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park (2018). A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics.

Richard Platania, Shayan Shams, Chui-Hui Chiu, Nayong Kim, Joohyun Kim, Seung-Jong Park (2017). Hadoop-based replica exchange over heterogeneous distributed cyberinfrastructures. Concurrency and Computation: Practice and Experience.

Shayan Shams, Richard Platania, Kisung Lee, Seung-Jong Park (2017). Evaluation of deep learning frameworks over different HPC architectures. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

Richard Platania, Shayan Shams, Seungwon Yang, Jian Zhang, Kisung Lee, Seung-Jong Park (2017). Automated breast cancer diagnosis using deep learning and region of interest detection (BC-DROID). Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics.

Shayan Shams, Nayong Kim, Xiandong Meng, Ming Tai Ha, Shantenu Jha, Zhong Wang, Joohyun Kim (2016). A scalable pipeline for transcriptome profiling tasks with on-demand computing clouds. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).