yifan-guo-cwru / awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

🎓 Bio

Yifan Guo is an Assistant Professor in the Department of Computer and Information Sciences at Towson University (TU) since August 2022. Before joining TU, he obtained his Ph.D. degree in Computer and Information Sciences from Case Western Reserve University under the supervision of Dr. Pan Li in 2022, his M.S. degree in Computer Science from Northwestern University in 2015, and his B.S. degree in Information and Computing Sciences from the Beijing University of Posts and Telecommunications in 2013.

His research interests focus on security and privacy issues and optimization algorithm designs in intelligent learning systems with an emphasis on anomaly detection, adversarial training, and robust federated learning and their applications on the Internet of Things (IoT), Cyber-physical Systems (CPS), wireless communications and smart health, etc. His current research goal is to investigate the intercorrelation between security and practical deep learning systems in two folds: 1) developing efficient, scalable, and implementable deep learning schemes for security applications in IoT systems; 2) investigating the vulnerability of practical deep learning systems, and ultimately, developing robust defense strategies to address the security and privacy concerns in both distributed and decentralized settings.

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