Conference Publications

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]

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]

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

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.

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]

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]

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.

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

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

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

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]

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]

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.

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.

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".

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

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.

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), Monterey, 2017.

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, France, 2016. [code]

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

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.

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.

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

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]

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]

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

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.

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

A Time and Space Efficient Algorithm for Contextual Linear Bandits
José Bento, Stratis Ioannidis, Muthu Muthukrishnan, and Jinyun Yan.
European Conference in Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Prague, Czech Republic, 2013.

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

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

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

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.

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

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.

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

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]

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]

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.

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.

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]

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]

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 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.

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.

Routing and Wavelength Assignment in Generalized WDM Tree Networks of Bounded Degree
Stratis Ioannidis, Christos Nomikos, Aris Pagourtzis, and Stathis Zachos.
Panhellenic Conference on Informatics (PCI) Volos, Greece, 2005.

Journal Publications

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.

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

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 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.

Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer and Stratis Ioannidis.
Knowledge and Information Systems (KAIS), 2018. [code]

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.

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

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.

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

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

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

Stable and Scalable Universal Swarms
Ji Zhu, Stratis Ioannidis, Nidhi Hegde, and Laurent Massoulié.
Distributed Computing, 2014.

Distributed Caching in Heterogeneous Mobile Networks
Stratis Ioannidis, Augustin Chaintreau, and Laurent Massoulié.
Queuing Systems, Theory and Applications, 2012.

Distributing Content Updates Over a Mobile Social Network
Stratis Ioannidis, Augustin Chaintreau, and Laurent Massoulié.
ACM SIGMOBILE Mobile Computing and Communications Review, 2009.

Workshop Publications

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]

Adding Structure: Social Network Inference with Graph Priors
Han Liu, Stratis Ioannidis, Smriti Bhagat, and Chen-Nee Chuah.
International Workshop on Mining and Learning with Graphs (MLG), San Francisco, CA, 2016.

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.

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

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

Theses

Scalable and Reliable Searching in Unstructured Peer-to-Peer Systems
Ph.D. Thesis
University of Toronto, Dept. of Computer Science, 2009.

Towards an Understanding of Last Encounter Routing in Ad Hoc Networks
M.Sc. Thesis
University of Toronto, Dept. of Computer Science, 2004.