Optimization

Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, and Stratis Ioannidis.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, 2025. [code]

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, and Lili Su.
Neural Information Processing Systems (NeurIPS), Vancouver, B.C., Canada, 2024. [code]

Exploring Token Pruning in Vision State Space Models
Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, and Yanzhi Wang.
Neural Information Processing Systems (NeurIPS), Vancouver, B.C., Canada, 2024. [code]

Online Submodular Maximization via Online Convex Optimization
Tareq Si-Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, and Stratis Ioannidis.
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Vancouver, B.C., Canada, 2024. [code]

Stochastic Submodular Maximization via Polynomial Estimators
Gözde Özcan and Stratis Ioannidis.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Osaka, Japan, 2023. [code]

Submodular Maximization via Taylor Series Approximation
Gözde Özcan, Armin Moharrer, and Stratis Ioannidis.
SIAM International Conference on Data Mining (SDM), Alexandria, VA, 2021. [code][talk]

Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer and Stratis Ioannidis.
Knowledge and Information Systems (KAIS), 2019. [code]

Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer and Stratis Ioannidis.
IEEE International Conference on Data Mining (ICDM), New Orleans, LA, 2017. [code]
Selected as one of the "Best Papers of ICDM 2017".

Parallel News-Article Traffic Forecasting with ADMM
Stratis Ioannidis, Yunjiang Jiang, Saeed Amizadeh, and Nikolay Laptev.
International Workshop on Mining and Learning from Time Series (MiLeTS), San Francisco, CA, 2016. [code]

Learning on Graphs

AlignGraph: A Group of Generative Models for Graphs
Kimia Shayestehfard, Dana Brooks, and Stratis Ioannidis.
SIAM International Conference on Data Mining (SDM23), Minneapolis, MN, 2023. [code]

Graph Transfer Learning
Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer Dy, and Stratis Ioannidis
Knowledge and Information Systems, 2022. [code]

Graph Transfer Learning
Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer Dy, and Stratis Ioannidis.
IEEE International Conference on Data Mining (ICDM), 2021. [code][talk]
Selected as one of the "Best-Ranked Papers of ICDM 2021".

Massively Distributed Graph Distances
Armin Moharrer, Jasmin Gao, Shikun Wang, José Bento, and Stratis Ioannidis.
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020. [code]

A Family of Tractable Graph Metrics
José Bento and Stratis Ioannidis.
Applied Network Science, 2019.

A Family of Tractable Graph Distances
José Bento and Stratis Ioannidis.
SIAM Interantional Conference on Data Mining (SDM), San Diego, CA, 2018.

Comparison-Based Learning

Spectral Ranking Regression
İlkay Yıldız, Jennifer Dy, Deniz Erdoğmuş, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022.

Sample Complexity of Rank Regression Using Pairwise Comparisons
Berkan Kadıoğlu, Peng Tian, Jennifer Dy, Deniz Erdoğmuş, and Stratis Ioannidis
Elsevier Pattern Recognition, 2022.

Deep Spectral Ranking
İlkay Yıldız, Jennifer Dy, Deniz Erdoğmuş, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. [code][talk]

Fast and Accurate Ranking Regression
İlkay Yıldız, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
International Conference on Artificial Intelligence and Statistics (AISTATS), Palermo, Italy, 2020. [code][talk]

Variational Inference from Ranked Samples with Features
Yuan Guo, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
Asian Conference on Machine Learning (ACML), Nagoya, Japan, 2019. [code]

Classification and Comparison via Neural Networks
İlkay Yıldız, Peng Tian, Jennifer Dy, Deniz Erdoğmuş, James Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
Elsevier Journal of Neural Networks, 2019. [code]

A Severity Score for Retinopathy of Prematurity
Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Jennifer Dy, Deniz Erdoğmuş, and Stratis Ioannidis.
Knowledge Discovery and Data Mining (KDD), Anchorage, AK, 2019. [code]

Accelerated Experimental Design for Pairwise Comparisons
Yuan Guo, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
SIAM International Conference on Data Mining (SDM), Calgary, Alberta, Canada, 2019. [code]

Experimental Design Under the Bradley-Terry Model
Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdoğmuş, Jennifer Dy, and Stratis Ioannidis.
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018. [code]

From Small-World Networks to Comparison-Based Search
Amin Karbasi, Stratis Ioannidis, and Laurent Massoulié.
IEEE Transactions on Information Theory (IT), 2015.

Comparison-Based Learning with Rank Nets
Amin Karbasi, Stratis Ioannidis, and Laurent Massoulié.
International Conference on Machine Learning (ICML), Edinburgh, UK, 2012.

Hot or Not: Interactive Content Search Using Comparisons
Amin Karbasi, Stratis Ioannidis, and Laurent Massoulié.
Information Theory and Applications Workshop (ITA), San Diego, CA, 2012.

Content Search Through Comparisons
Amin Karbasi, Stratis Ioannidis, and Laurent Massoulie.
International Colloquium on Automata, Languages and Programming (ICALP), Zurich, Switzerland, 2011.
[Full Version]

Continual and Robust Learning

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy
International Conference on Machine Learning (ICML), Honolulu, Hawaii, 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.
Neural Information Processing Systems (NeurIPS), 2022. [code]

Pruning Adversarially Robust Neural Networks without Adversarial Examples
Tong Jian, Zifeng Wang, Jennifer Dy, Yanzhi Wang, and Stratis Ioannidis.
International Conference on Data Mining (ICDM), 2022. [code]

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, and J. Dy.
Neural Information Processing Systems (NeurIPS), 2021. [code][talk]

Robust Regression via Model Based Methods
Armin Moharrer, Khashayar Kamran, Edmund Yeh, and Stratis Ioannidis.
European Conference in Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2021. [code][talk]

Learn-Prune-Share for Lifelong Learning
Zifeng Wang, Tong Jian, Kaushik Chowdhury, Yanzhi Wang, Jennifer Dy, and Stratis Ioannidis.
IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 2020. [code][talk1][talk2]

Open-World Class Discovery with Kernel Networks
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik Chowdhury, Stratis Ioannidis, and Jennifer Dy.
IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 2020. [code][talk]
Selected as one of the "Best Papers of ICDM 2020".

Clustering, Learning Mixtures, & Kernel Methods

Neural Point Processes for Pixel-wise Regression
Chengzhi Shi, Gözde Özcan, Miquel Sirera Perelló, Yuanyuan Li, Nina Iftikhar Shamsi, Stratis Ioannidis
International Conference on Artificial Intelligence and Statistics (AISTATS), Mai Khao, Thailand, 2025. [code]

Deep Kernel Learning for Clustering
Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, and Jennifer G. Dy.
SIAM International Conference on Data Mining (SDM), Cincinatti, OH, 2020. [code]

Iterative Spectral Method for Alternative Clustering
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David Kaeli, and Jennifer Dy.
International Conference on Artificial Intelligence and Statistics (AISTATS), Playa Blanca, Spain, 2018. [Supplement]

Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis, and Andrea Montanari.
International Conference on Machine Learning (ICML), Beijing, China, 2014.
[Full Version]

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
Amy Zhang, Nadia Fawaz, Stratis Ioannidis, and Andrea Montanari.
Uncertainty in Artificial Intelligence (UAI), Catalina Island, CA, 2012.

Identifying Users From Their Rating Paterns
José Bento, Nadia Fawaz, Andrea Montanari, and Stratis Ioannidis.
Challenge on Context-Aware Movie Recommendations (CAMRa), collocated with Recommender Systems (RecSys), Chicago, IL, 2011.
Winner of the CAMRa 2011 Challenge.

Privacy-Preserving Machine Learning

Differentially Private Regression with Unbounded Covariates
Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, and Stratis Ioannidis.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

Secure Function Evaluation Using an FPGA Overlay Architecture
Xin Fang, Stratis Ioannidis, and Miriam Leeser.
ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), February 22-24, Monterey, 2017.

GraphSC: Parallel Secure Computation Made Easy
Kartik Nayak, Xiao Shaun Wang, Stratis Ioannidis, Udi Weinsberg, Nina Taft, and Elaine Shi.
Symposium on Security and Privacy (S&P), San Jose, CA, 2015.

Privacy Tradeoffs in Predictive Analytics
Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, and Nina Taft.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), Austin, TX, 2014.
[Full Version]

Privacy-Preserving Matrix Factorization
Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, and Dan Boneh.
Computer and Communications Security (CCS), Berlin, Germany, 2013.

Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
Valeria Nikolaenko, Udi Weinsberg, Stratis Ioannidis, Marc Joye, Dan Boneh, and Nina Taft.
Symposium on Security and Privacy (IEEE S&P), San Francisco, CA, 2013.

Learning from Strategic Agents

Distributed Experimental Design Networks
Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, and Stratis Ioannidis.
IEEE International Conference on Computer Communications (INFOCOM), 2024. [code]

Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints
Yuanyuan Li, Yuezhou Liu, Lili Su, Edmund Yeh, and Stratis Ioannidis.
IEEE/ACM Transactions on Networking, 2023. [code]

Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints
Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, and Stratis Ioannidis.
International Conference on Computer Communications (INFOCOM), 2022. [code]

Linear Regression from Strategic Data Sources
Nicolas Gast, Stratis Ioannidis, Patrick Loiseau, and Benjamin Roussillon.
To appear in the ACM Transactions on Economics and Computation (TEAC), 2020.

Truthful Linear Regression
Rachel Cummings, Stratis Ioannidis, and Katrina Ligett.
Conference on Learning Theory (COLT), Paris, France, 2015.

Budget Feasible Mechanisms for Experimental Design
Thibaut Horel, Stratis Ioannidis, and Muthu Muthukrishnan.
Latin American Theoretical Informatics (LATIN), Montevideo, Uruguay, 2014.

Linear Regression as a Non-Cooperative Game
Stratis Ioannidis and Patrick Loiseau.
Web and Internet Economics (WINE), Cambridge, MA, 2013.

Privacy Auctions for Recommender Systems
Pranav Dandekar, Nadia Fawaz, and Stratis Ioannidis.
Web and Internet Economics (WINE), Liverpool, UK, 2012.

Privacy Auctions for Recommender Systems
Pranav Dandekar, Nadia Fawaz, and Stratis Ioannidis.
Transactions on Economics and Computation (TEAC), 2014.

Machine Learning for Health

SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma
Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy
Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, 2023. [code]

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.
International Conference on Learning Representations (ICLR), 2022. [code]

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation
Peng Tian, Jennifer Dy, Deniz Erdoğmuş, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, and Stratis Ioannidis.
PErvasive Technologies Related to Assistive Environments (PETRA), 2021. [code][talk]

Structurally Guided Channel Attention Networks: SGCA-Net
Veysi Yıldız, Jennifer Dy, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis, and Deniz Erdoğmuş.
PErvasive Technologies Related to Assistive Environments (PETRA), 2021.

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity
Veysi Yıldız, İlkay Yıldız, Peng Tian, Stratis Ioannidis, J. Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdoğmuş, and Jennifer Dy.
IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021.

Biosensor Prediction of Aggression in Youth with Autism using Kernel-based Methods
Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdoğmuş, and Matthew S. Goodwin.
PErvasive Technologies Related to Assistive Environments (PETRA), Corfu, Greece, 2020.

A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment
Kishan Gupta, James M. Brown, Stanford Taylor, J. Peter Campbell, Susan Ostmo, R. V. Paul Chan, Jennifer Dy, Deniz Erdoğmuş, Stratis Ioannidis, Sang J. Kim, Jayashree Kalpathy-Cramer, and Michael F. Chiang.
JAMA Ophthalmology, 2019.

Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning
Stanford Taylor, James M. Brown, Kishan Gupta, J. Peter Campbell, Susan Ostmo, R. V. Paul Chan, Jennifer Dy, Deniz Erdoğmuş, Stratis Ioannidis, Sang J. Kim, Jayashree Kalpathy-Cramer, and Michael F. Chiang.
JAMA Ophthalmology, 2019.

Predicting Aggression to Others in Youth With Autism Using a Wearable Biosensor
Matthew S. Goodwin, Carla A. Mazefsky, Stratis Ioannidis, Deniz Erdoğmuş, and Matthew Siegel.
Autism Research, 2019.

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
James M. Brown, J. Peter Campbell, Andrew Beers, Ken Chang, Susan Ostmo, R. V. Paul Chan, Jennifer Dy, Deniz Erdoğmuş, Stratis Ioannidis, Jayashree Kalpathy-Cramer, and Michael F. Chiang.
JAMA Ophthalmology, 2018.

Evaluation of a Deep Learning Image Assessment System for Detecting Severe Retinopathy of Prematurity
Travis K. Redd, J. Peter Campbell, James M. Brown, Sang Jin Kim, Susan Ostmo, R. V. Paul Chan, Jennifer Dy, Deniz Erdoğmuş, Stratis Ioannidis, Jayashree Kalpathy-Cramer, and Michael F. Chiang.
British Journal of Ophthalmology, 2018.

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals
Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdoğmuş, and Stratis Ioannidis.
International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), New York, NY, 2018.

Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals
Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdoğmuş, Stratis Ioannidis, and Matthew Goodwin.
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018.

Recommender Systems

Harm Mitigation in Recommender Systems under User Preference Dynamics
Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, and Stratis Ioannidis
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , Barcelona, Spain, 2024. [code]

Achieving a Better Tradeoff in Multi-Stage Recommender Systems Through Personalization
Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, and Udi Weinsberg
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , Barcelona, Spain, 2024.

Gateway Entities in Problematic Trajectories
Xi Chen, Abhro Dutta, Sindhu Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, and Udi Weinsberg.
ACM International World Wide Web Conference (WWW), Austin, TX, 2023.

Bandits Under the Influence
Silviu Maniu, Stratis Ioannidis, and Bogdan Cautis.
IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 2020. [code][Extended Version]

PNP: Fast Path Ensemble Method for Movie Design
Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos and Jean Bolot.
Knowledge Discovery and Data Mining (KDD), Halifax, Nova Scotia, Canada, 2017.

Optimal Recommendations under Attraction, Aversion, and Social Influence
Wei Lu, Stratis Ioannidis, Smriti Bhagat, and Laks V.S. Lakshmanan
Knowledge Discovery and Data Mining (KDD), New York, NY, 2014.

Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization
Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, and Nina Taft.
Recommender Systems (RecSys), Foster City, CA, 2014.
[Full Version]

BlurMe: Inferring and Obfuscating User Gender Based on Ratings
Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, and Nina Taft.
Recommender Systems (RecSys), Dublin, Ireland, 2012.

Distributed Rating Prediction in User Generated Content Streams
Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi.
Recommender Systems (RecSys), Chicago, IL, 2011.
[Full Version]

Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web
Stratis Ioannidis and Laurent Massoulié.
International Conference on Computer Communications (INFOCOM), San Diego, CA, USA, 2010.
[Full Version]

Radio Frequency Machine Learning Systems

JARVIS: Disjoint Large Language Models on Radio VLANs for Intelligent Services
Miquel Sirera Perelló, Joshua Groen, Wan Liu, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE Military Communications Conference (MILCOM), 2024.

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge
Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE International Conference on Computer Communications (INFOCOM), 2024. [code]

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

AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces
Sara Garcia Sanchez, Guillem Reus-Muns, Carlos Bocanegra, Yanyu Li, Ufuk Muncuk, Yousof Naderi, Yanzhi Wang, Stratis Ioannidis and Kaushik R. Chowdhury.
IEEE/ACM Transactions on Networking, 2022.

Multi-modality Sensing and Data Fusion for Multi-vehicle Detection
Debashri Roy, Yuanyuan Li, Tong Jian, Peng Tian, Kaushik Chowdhury, and Stratis Ioannidis
IEEE Transactions on Multimedia, 2022.

Radio Frequency Fingerprinting on the Edge
Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer Dy, Kaushik Chowdhury, Yanzhi Wang, and Stratis Ioannidis.
IEEE Transactions on Mobile Computing, 2021. [code]

DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering
Francesco Restuccia, Salvatore D’Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, and Tommaso Melodia.
IEEE Transactions on Wireless Communications, 2021.

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting
Amani Al-Shawabka, Francesco Restuccia, Salvatore D’Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer Dy, Stratis Ioannidis, Kaushik Chowdhury, and Tommaso Melodia.
IEEE International Conference on Computer Communications (INFOCOM), Toronto, ON, Canada, 2020.

Deep Learning for RF Fingerprinting: A Massive Experimental Study
Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer Dy, Kaushik R. Chowdhury, and Stratis Ioannidis.
IEEE Internet of Things Magazine, 2020. [code]

Machine Learning on Camera Images for Fast mmWave Beamforming
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Nasim Soltani, Kunal Sankhe, Jennifer Dy, Stratis Ioannidis, and Kaushik R. Chowdhury.
IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Delhi, India, 2020.

More is better: Data Augmentation for Channel-Resilient RF Fingerprinting
Nasim Soltani, Kunal Sankhe, Jennifer Dy, Stratis Ioannidis, and Kaushik R. Chowdhury.
IEEE Communications Magazine, 2020.

RF Fingerprinting Unmanned Aerial Vehicles with Non-standard Transmitter Waveforms
Nasim Soltani, Guillem Reus-Muns, Batool Salehi, Jennifer Dy, Stratis Ioannidis, and Kaushik R. Chowdhury,
IEEE Transactions on Vehicular Technology, 2020.

DeepRadioID: Real-Time Channel-Resistent Optimization of Deep Learning-based Radio Fingerprinting Algorithm
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik Chowdhury, and Tommaso Melodia.
ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Catania, Italy, 2019.

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Mohamed Riyaz, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019.

MAC ID Spoofing-Resistant Radio Fingerprinting
Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer Dy, Kaushik Chowdhury, and Stratis Ioannidis.
IEEE Global Conference on Signal and Information Processing (GlobalSIP) , Ottawa, Ontario, Canada, 2019.

Finding a ‘New’ Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning
Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer Dy, Kaushik Chowdhury, and Stratis Ioannidis.
IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) , Newark, NJ, 2019.
Best Paper Award

Spectrum Awareness at the Edge: Modulation Classification using Smartphones
Nasim Soltani, Kunal Sankhe, Stratis Ioannidis, Dheryta Jaisinghani, and Kaushik Chowdhury.
IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) , Newark, NJ, 2019.

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections
Kunal Sankhe, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer Dy, Tommaso Melodia, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE/AFCEA Military Communications Conference (MILCOM) , Norfolk, VA, 2019.

Deep Learning Convolutional Neural Networks for Radio Identification.
Shamnaz Riyaz, Kunal Sankhe, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE Communications Magazine. 2018.

Cache Networks

No-regret Caching via Online Mirror Descent
Tareq Si Salem, Giovanni Neglia, and Stratis Ioannidis.
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2023.

Cache-Enabled Federated Learning Systems
Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, and Marie Siew
International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Washington, DC, 2023. [code]

Jointly Optimal Routing and Caching with Bounded Link Capacities
Yuanyuan Li, Yuchao Zhang, Stratis Ioannidis, and Jon Crowcroft.
IEEE International Conference on Communications (ICC), Rome, Italy, 2023. [code]

Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution
Derya Malak, Yuanyuan Li, Stratis Ioannidis, Edmund Yeh, and Muriel Médard.
International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOPT), Singapore, 2023. [code]
Best Paper Award

Online Caching Networks with Adversarial Guarantees
Yuanyuan Li, Tareq Si-Salem, Giovanni Neglia, and Stratis Ioannidis.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), Mumbai, India, 2022. [code]

Cache Networks of Counting Queues
Yuanyuan Li and Stratis Ioannidis.
ACM/IEEE Transactions on Networking, 2021.

Rate Allocation and Content Placement in Cache Networks
Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, and Edmund Yeh.

International Conference on Computer Communications (INFOCOM), Vancouver, BC, Canada, 2021. [code]

No-Regret Caching via Online Mirror Descent
Tareq Si Salem, Giovanni Neglia, and Stratis Ioannidis.

IEEE International Conference on Communications (ICC), 2021. [talk]

Universally Stable Cache Networks
Yuanyuan Li and Stratis Ioannidis.
IEEE International Conference on Computer Communications (INFOCOM), Toronto, ON, Canada, 2020. [talk]

Fair Caching Networks
Yuezhou Liu, Yuanyuan Li, Qian Ma, Stratis Ioannidis, and Edmund Yeh.
International Symposium on Computer Performance, Modeling, Measurements and Evaluation (PERFORMANCE), Milan, Italy, 2020. [talk]

Kelly Cache Networks
Milad Mahdian, Armin Moharrer, Stratis Ioannidis, and Edmund Yeh.
IEEE/ACM Transactions on Networking, 2020.

Kelly Cache Networks
Milad Mahdian, Armin Moharrer, Stratis Ioannidis, and Edmund Yeh.
IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019.

Optimal Cache Allocation Under Network-Wide Capacity Constraint
Van Sy Mai, Stratis Ioannidis, Davide Pesavento, and Lotfi Benmohamed.
IEEE International Conference on Computing, Networking and Communications (ICNC), Honolulu, HI, 2019.

Jointly Optimal Routing and Caching for Arbitrary Network Topologies
Stratis Ioannidis and Edmund Yeh.
IEEE Journal on Selected Areas in Communications, Special Issue on Caching for Communications and Networks, 2018.

Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks
Zhengyu Yang, Danlin Jia, Stratis Ioannidis, Ningfang Mi, and Bo Sheng.
IEEE International Conference on Cloud Computing (CLOUD), San Francisco, CA, 2018.

Adaptive Caching Networks with Optimality Guarantees
Stratis Ioannidis Edmund Yeh.
IEEE/ACM Transactions on Networking, 2018. [code]

Jointly Optimal Routing and Caching for Arbitrary Network Topologies
Stratis Ioannidis and Edmund Yeh.
ACM Conference on Information-Centric Networking (ICN), Berlin, Germany, 2017.
Best Paper Award

Adaptive Caching Networks with Optimality Guarantees
Stratis Ioannidis and Edmund Yeh.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), Antibes San Juan Les Pins, 2016. [code]

Orchestrating Massively Distributed CDNs
Joe Wenjie Jiang, Stratis Ioannidis, Laurent Massoulié, and Fabio Picconi.
Conference on Emerging Network Experiments and Technologies (CoNEXT), Nice, France, 2012.

Distributed Caching over Heterogeneous Mobile Networks
Stratis Ioannidis, Laurent Massoulié, and Augustin Chaintreau.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), New York, NY, 2010.

P2P Systems

Stable and Scalable Universal Swarms
Ji Zhu, Stratis Ioannidis, Nidhi Hegde and Laurent Massoulié.
Principles of Distributed Computing (PODC), Montreal, Canada, 2013.

On the Stability and Optimality of Universal Swarms
Xia Zhou, Stratis Ioannidis, and Laurent Massoulie.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), San Jose, CA, 2011.
[Full Version]

Incentivizing Peer-Assisted Services: A Fluid Shapley Value Approach
Vishal Misra, Stratis Ioannidis, Augustin Chaintreau, and Laurent Massoulié.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), New York, NY, 2010.

Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search
Stratis Ioannidis and Peter Marbach.
International Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, 2009.
[Full Version]

On the Design of Hybrid Peer-to-Peer Systems
Stratis Ioannidis and Peter Marbach.
International Conference on Measurements and Modeling of Computer Systems (SIGMETRICS), Annapolis, MD, USA, 2008.

Mobile & Opportunistic Networks

Dissemination in Opportunistic Mobile Ad-Hoc Networks: the Power of the Crowd
Gjiergji Zyba, Stratis Ioannidis, Christophe Diot, and Geoffrey M. Voelker.
International Conference on Computer Communications (INFOCOM), Shanghai, China, 2011.
[Full Version]

Optimal and Scalable Distribution of Content Updates Over a Mobile Social Network
Stratis Ioannidis, Augustin Chaintreau, and Laurent Massoulié.
International Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, 2009.
[Full Version]

On the Strength of Weak Ties in Mobile Social Networks
Stratis Ioannidis and Augustin Chaintreau.
Social Networking Systems Workshop (SNS), Nuremberg, Germany, 2009.

A Brownian Motion Model for Last Encounter Routing
Stratis Ioannidis and Peter Marbach.
International Conference on Computer Communications (INFOCOM), Barcelona, Spain, 2006.

Towards an Understanding of EASE and its Properties
Stratis Ioannidis and Peter Marbach.
Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Riva del Garda, Italy, 2005.