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.
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer Dy, and Stratis Ioannidis, NeurIPS 2025.
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, and Evimaria Terzi, NeurIPS 2025.
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, and Evimaria Terzi, NeurIPS 2025.
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.
