Electrical and Computer Engineering
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy.
Pruning Adversarially Robust Neural Networks without Adversarial Examples
Tong Jian, Zifeng Wang, Jennifer Dy, Yanzhi Wang, and Stratis Ioannidis.
Explanations of Black-Box Models based on Directional Feature Interactions
Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, and Jennifer Dy.
Differentially Private Regression with Unbounded Covariates
Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, and Stratis Ioannidis.
Online Caching Networks with Adversarial Guarantees
Yuanyuan Li, Tareq Si-Salem, Giovanni Neglia, and Stratis Ioannidis.
Technical Program Commitees
NeurIPS (2017-2021), ICML (2017-2021),
INFOCOM (2014-2021), ACM MobiHoc (2016–2021)
News and research
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Our research is generously supported by the National Science Foundation via the NSF AI Institute for Future Edge Networks and Distributed Intelligence
, a CAREER award
, by the Defence Advanced Research Projects Agency, as well as by a
Google Faculty Research Award
Facebook Research Award