Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
(Under submission)

Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu
(To appear in IEEE MASS 2019.)

A Comparative Measurement Study of Deep Learning as a Service Framework
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
(To appear on IEEE Transactions on Services Computing.)

Memory Disaggregation: Research Problems and Opportunities
Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
In 2019 IEEE 39th International Conference on Distributed Computing Systems. IEEE, 2019. (ICDCS'19)

Adversarial Examples in Deep Learning: Characterization and Divergence
Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu
(Under submission)

Experimental Characterizations and Analysis of Deep Learning Frameworks
Yanzhao Wu, Wenqi Cao, Semih Sahin, and Ling Liu
In 2018 IEEE International Conference on Big Data (BigData'2018)

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, and Qi Zhang
In 2018 IEEE 38th International Conference on Distributed Computing Systems, pp. 1258-1269. IEEE, 2018. (ICDCS'18)

CCAligner: a token based large-gap clone detector
Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu and Chanchal K. Roy
In Proceedings of the 40th International Conference on Software Engineering, pp. 1066-1077. ACM, 2018. (ICSE'18)

DeepEyes: Integrating Deep Learning and Crowd Sourcing for Localization
Wenqi Wei, Yanzhao Wu and Ling Liu
In Southern Data Science Conference, 2018. (SDSC'18 Research Track Poster)