Recent Publications
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer Dy, and Stratis Ioannidis, NeurIPS 2025. [code]
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer Dy, and Stratis Ioannidis, NeurIPS 2025. [code]
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, and Evimaria Terzi, NeurIPS 2025. [code]
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, and Evimaria Terzi, NeurIPS 2025. [code]
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, and Stratis Ioannidis. AAAI 2025. [code]
Gözde Özcan, Chengzhi Shi, and Stratis Ioannidis. AAAI 2025. [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 or networking, please feel free to reach out at ioannidis@northeastern.edu.
Our research has been 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-2414652, 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.
