Stratis Ioannidis


Recent Publications

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy ICML, 2023. [code]

Communication-Aware DNN Pruning
Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik Chowdhury, and Stratis Ioannidis
IEEE INFOCOM, Hoboken, NJ, 2023. [code]

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. NeurIPS, 2022. [code]

Pruning Adversarially Robust Neural Networks without Adversarial Examples
Tong Jian, Zifeng Wang, Jennifer Dy, Yanzhi Wang, and Stratis Ioannidis. ICDM, 2022. [code]

Research Interests

  • Machine Learning
  • Distributed Systems
  • Networking
  • Privacy
News and research highlights, google scholar profile, patents granted and pending. If you are interested in pursuing a Ph.D. in machine learning, distributed systems, or privacy, please feel free to reach out to ioannidis@ece.neu.edu.


Our research is generously supported by the National Science Foundation via the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), a CAREER award CCF-1750539 and grants CNS 2107062, CCF-1937500, IIS-1741197, IIS-1622536, NeTS-1718355, and CNS-1717213, by the Defence Advanced Research Projects Agency, as well as by a Google Faculty Research Award and a Facebook Research Award.