Conference Publications

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.

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.

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]





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]

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".

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]


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]


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.

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.

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][talk]

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".

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

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]

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]


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.

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]

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.

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 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.


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.

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".


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.



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.


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]


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]









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

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.

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.

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network
Batool Salehihikouei, Guillem Reus-Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer Dy, Stratis Ioannidis, and Kaushik Chowdhury.
IEEE Transactions on Vehicular Technology (TVT), 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.

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

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

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

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.




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.

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.