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

Towards an Understanding of EASE and Its Properties. - Stratis Ioannidis; Peter Marbach (WiOpt, 2005)

A Brownian Motion Model for Last Encounter Routing. - Stratis Ioannidis; Peter Marbach (INFOCOM, 2006)

On the design of hybrid peer-to-peer systems. - Stratis Ioannidis; Peter Marbach (SIGMETRICS, 2008)

Optimal and Scalable Distribution of Content Updates over a Mobile Social Network. - Stratis Ioannidis; Augustin Chaintreau; Laurent Massoulié (INFOCOM, 2009)

Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search. - Stratis Ioannidis; Peter Marbach (INFOCOM, 2009)

On the strength of weak ties in mobile social networks. - Stratis Ioannidis; Augustin Chaintreau (SNS, 2009)

Distributing content updates over a mobile social network. - Stratis Ioannidis; Augustin Chaintreau; Laurent Massoulié (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009)

Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web. - Stratis Ioannidis; Laurent Massoulié (INFOCOM, 2010)

Incentivizing peer-assisted services: a fluid shapley value approach. - Vishal Misra; Stratis Ioannidis; Augustin Chaintreau; Laurent Massoulié (SIGMETRICS, 2010)

Scalable and Reliable Searching in Unstructured Peer-to-peer Systems. - Stratis Ioannidis (2010)

Distributed collaborative filtering over social networks. - Sibren Isaacman; Stratis Ioannidis; Augustin Chaintreau; Margaret Martonosi (Allerton, 2011)

Content Search through Comparisons. - Amin Karbasi; Stratis Ioannidis; Laurent Massoulié (ICALP (2), 2011)

Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd. - Gjergji Zyba; Geoffrey M. Voelker; Stratis Ioannidis; Christophe Diot (INFOCOM, 2011)

Distributed rating prediction in user generated content streams. - Sibren Isaacman; Stratis Ioannidis; Augustin Chaintreau; Margaret Martonosi (RecSys, 2011)

On the stability and optimality of universal swarms. - Xia Zhou; Stratis Ioannidis; Laurent Massoulié (SIGMETRICS, 2011)

Adaptive Content Search Through Comparisons - Amin Karbasi; Stratis Ioannidis; Laurent Massoulié (CoRR, 2011)

Privacy Auctions for Inner Product Disclosures - Pranav Dandekar; Nadia Fawaz; Stratis Ioannidis (CoRR, 2011)

Orchestrating massively distributed CDNs. - Wenjie Jiang 001; Stratis Ioannidis; Laurent Massoulié; Fabio Picconi (CoNEXT, 2012)

Comparison-Based Learning with Rank Nets. - Amin Karbasi; Stratis Ioannidis; Laurent Massoulié (ICML, 2012)

Hot or not: Interactive content search using comparisons. - Amin Karbasi; Stratis Ioannidis; Laurent Massoulié (ITA, 2012)

BlurMe: inferring and obfuscating user gender based on ratings. - Udi Weinsberg; Smriti Bhagat; Stratis Ioannidis; Nina Taft (RecSys, 2012)

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. - Amy Zhang 001; Nadia Fawaz; Stratis Ioannidis; Andrea Montanari (UAI, 2012)

Group recommendations via multi-armed bandits. - José Bento 001; Stratis Ioannidis; S. Muthukrishnan 001; Jinyun Yan (WWW (Companion Volume), 2012)

Identifying Users From Their Rating Patterns - José Bento 001; Nadia Fawaz; Andrea Montanari; Stratis Ioannidis (CoRR, 2012)

Distributed caching over heterogeneous mobile networks. - Stratis Ioannidis; Laurent Massoulié; Augustin Chaintreau (Queueing Syst. Theory Appl., 2012)

Privacy-preserving matrix factorization. - Valeria Nikolaenko; Stratis Ioannidis; Udi Weinsberg; Marc Joye; Nina Taft; Dan Boneh (CCS, 2013)

A Time and Space Efficient Algorithm for Contextual Linear Bandits. - José Bento 001; Stratis Ioannidis; S. Muthukrishnan 001; Jinyun Yan (ECML/PKDD (1), 2013)

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

Linear Regression as a Non-cooperative Game. - Stratis Ioannidis; Patrick Loiseau (WINE, 2013)

A Consensus-Focused Group Recommender System. - Stratis Ioannidis; S. Muthukrishnan 001; Jinyun Yan (CoRR, 2013)

Learning Mixtures of Linear Classifiers. - Yuekai Sun; Stratis Ioannidis; Andrea Montanari (ICML, 2014)

Optimal recommendations under attraction, aversion, and social influence. - Wei Lu 002; Stratis Ioannidis; Smriti Bhagat; Laks V. S. Lakshmanan (KDD, 2014)

Budget Feasible Mechanisms for Experimental Design. - Thibaut Horel; Stratis Ioannidis; S. Muthukrishnan 001 (LATIN, 2014)

Recommending with an agenda: active learning of private attributes using matrix factorization. - Smriti Bhagat; Udi Weinsberg; Stratis Ioannidis; Nina Taft (RecSys, 2014)

Privacy tradeoffs in predictive analytics. - Stratis Ioannidis; Andrea Montanari; Udi Weinsberg; Smriti Bhagat; Nadia Fawaz; Nina Taft (SIGMETRICS, 2014)

Privacy Auctions for Recommender Systems. - Pranav Dandekar; Nadia Fawaz; Stratis Ioannidis (ACM Trans. Economics and Comput., 2014)

Truthful Linear Regression. - Rachel Cummings; Stratis Ioannidis; Katrina Ligett (COLT, 2015)

GraphSC: Parallel Secure Computation Made Easy. - Kartik Nayak; Xiao Shaun Wang; Stratis Ioannidis; Udi Weinsberg; Nina Taft; Elaine Shi (IEEE Symposium on Security and Privacy, 2015)

Stable and scalable universal swarms. - Ji Zhu 003; Stratis Ioannidis; Nidhi Hegde 001; Laurent Massoulié (Distributed Comput., 2015)

From Small-World Networks to Comparison-Based Search. - Amin Karbasi; Stratis Ioannidis; Laurent Massoulié (IEEE Trans. Inf. Theory, 2015)

Secure Function Evaluation Using an FPGA Overlay Architecture. - Xin Fang 001; Stratis Ioannidis; Miriam Leeser (FPGA, 2017)

PNP: Fast Path Ensemble Method for Movie Design. - Danai Koutra; Abhilash Dighe; Smriti Bhagat; Udi Weinsberg; Stratis Ioannidis; Christos Faloutsos; Jean Bolot (KDD, 2017)

Learning Combinations of Sigmoids Through Gradient Estimation. - Stratis Ioannidis; Andrea Montanari (CoRR, 2017)

Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. - Zhengyu Yang 001; Danlin Jia; Stratis Ioannidis; Ningfang Mi; Bo Sheng (IEEE CLOUD, 2018)

Iterative Spectral Method for Alternative Clustering. - Chieh Wu; Stratis Ioannidis; Mario Sznaier; Xiangyu Li 006; David R. Kaeli; Jennifer G. Dy (AISTATS, 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 Erdogmus; Stratis Ioannidis; Matthew S. Goodwin (EMBC, 2018)

Experimental Design under the Bradley-Terry Model. - Yuan Guo; Peng Tian; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy; Stratis Ioannidis (IJCAI, 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 Erdogmus; Stratis Ioannidis (PervasiveHealth, 2018)

A Family of Tractable Graph Distances. - José Bento 001; Stratis Ioannidis (SDM, 2018)

Deep Learning Convolutional Neural Networks for Radio Identification. - Shamnaz Riyaz; Kunal Sankhe; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Commun. Mag., 2018)

Deep feature transfer between localization and segmentation tasks. - Szu-Yeu Hu; Andrew Beers; Ken Chang; Kathi Höbel; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Jennifer G. Dy; Michael F. Chiang; Jayashree Kalpathy-Cramer; James M. Brown 001 (CoRR, 2018)

Jointly Optimal Routing and Caching for Arbitrary Network Topologies. - Stratis Ioannidis; Edmund Yeh (IEEE J. Sel. Areas Commun., 2018)

Adaptive Caching Networks With Optimality Guarantees. - Stratis Ioannidis; Edmund M. Yeh (IEEE/ACM Trans. Netw., 2018)

Variational Inference from Ranked Samples with Features. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACML, 2019)

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. - Andrey Gritsenko; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (DySPAN, 2019)

Spectrum Awareness at the Edge: Modulation Classification using Smartphones. - Nasim Soltani; Kunal Sankhe; Stratis Ioannidis; Dheryta Jaisinghani; Kaushik R. Chowdhury (DySPAN, 2019)

MAC ID Spoofing-Resistant Radio Fingerprinting. - Tong Jian; Bruno Costa Rendon; Andrey Gritsenko; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (GlobalSIP, 2019)

Garbled Circuits in the Cloud using FPGA Enabled Nodes. - Kai Huang; Mehmet Güngör; Xin Fang 001; Stratis Ioannidis; Miriam Leeser (HPEC, 2019)

Optimal Cache Allocation under Network-Wide Capacity Constraint. - Van Sy Mai; Stratis Ioannidis; Davide Pesavento; Lotfi Benmohamed (ICNC, 2019)

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. - Kunal Sankhe; Mauro Belgiovine; Fan Zhou 008; Shamnaz Riyaz; Stratis Ioannidis; Kaushik R. Chowdhury (INFOCOM, 2019)

A Severity Score for Retinopathy of Prematurity. - Peng Tian; Yuan Guo; Jayashree Kalpathy-Cramer; Susan Ostmo; John Peter Campbell; Michael F. Chiang; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (KDD, 2019)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. - Kunal Sankhe; Kaushik R. Chowdhury; Francesco Restuccia 001; Salvatore D'Oro; Tong Jian; Zifeng Wang 002; Amani Al-Shawabka; Jennifer G. Dy; Tommaso Melodia; Stratis Ioannidis (MILCOM, 2019)

DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. - Francesco Restuccia 001; Salvatore D'Oro; Amani Al-Shawabka; Mauro Belgiovine; Luca Angioloni; Stratis Ioannidis; Kaushik R. Chowdhury; Tommaso Melodia (MobiHoc, 2019)

Accelerating Large Garbled Circuits on an FPGA-enabled Cloud. - Miriam Leeser; Mehmet Güngör; Kai Huang; Stratis Ioannidis (H2RC@SC, 2019)

Accelerated Experimental Design for Pairwise Comparisons. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (SDM, 2019)

A family of tractable graph metrics. - José Bento 001; Stratis Ioannidis (Appl. Netw. Sci., 2019)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Yale Chang; Stratis Ioannidis; Jennifer G. Dy (CoRR, 2019)

SIFO: Secure Computational Infrastructure Using FPGA Overlays. - Xin Fang 001; Stratis Ioannidis; Miriam Leeser (Int. J. Reconfigurable Comput., 2019)

Distributing Frank-Wolfe via map-reduce. - Armin Moharrer; Stratis Ioannidis (Knowl. Inf. Syst., 2019)

Classification and comparison via neural networks. - Ilkay Yildiz; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; James M. Brown 001; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (Neural Networks, 2019)

Fast and Accurate Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2020)

Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing. - Kai Huang; Mehmet Güngör; Stratis Ioannidis; Miriam Leeser (HPEC, 2020)

Learn-Prune-Share for Lifelong Learning. - Zifeng Wang 002; Tong Jian; Kaushik R. Chowdhury; Yanzhi Wang; Jennifer G. Dy; Stratis Ioannidis (ICDM, 2020)

Open-World Class Discovery with Kernel Networks. - Zifeng Wang 002; Batool Salehi; Andrey Gritsenko; Kaushik R. Chowdhury; Stratis Ioannidis; Jennifer G. Dy (ICDM, 2020)

Bandits Under the Influence. - Silviu Maniu; Stratis Ioannidis; Bogdan Cautis (ICDM, 2020)

Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. - Amani Al-Shawabka; Francesco Restuccia 001; Salvatore D'Oro; Tong Jian; Bruno Costa Rendon; Nasim Soltani; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury; Tommaso Melodia (INFOCOM, 2020)

Universally Stable Cache Networks. - Yuanyuan Li; Stratis Ioannidis (INFOCOM, 2020)

Machine Learning on Camera Images for Fast mmWave Beamforming. - Batool Salehi; Mauro Belgiovine; Sara Garcia Sanchez; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (MASS, 2020)

Biosensor prediction of aggression in youth with autism using kernel-based methods. - Tales Imbiriba; Diana Catalina Cumpanasoiu; James Heathers; Stratis Ioannidis; Deniz Erdogmus; Matthew S. Goodwin (PETRA, 2020)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Stratis Ioannidis; Jennifer G. Dy (SDM, 2020)

More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. - Nasim Soltani; Kunal Sankhe; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Commun. Mag., 2020)

Hacking the Waveform: Generalized Wireless Adversarial Deep Learning. - Francesco Restuccia 001; Salvatore D'Oro; Amani Al-Shawabka; Bruno Costa Rendon; Kaushik R. Chowdhury; Stratis Ioannidis; Tommaso Melodia (CoRR, 2020)

DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning. - Francesco Restuccia 001; Salvatore D'Oro; Amani Al-Shawabka; Bruno Costa Rendon; Stratis Ioannidis; Tommaso Melodia (CoRR, 2020)

Bandits Under The Influence (Extended Version). - Silviu Maniu; Stratis Ioannidis; Bogdan Cautis (CoRR, 2020)

Deep Learning for RF Fingerprinting: A Massive Experimental Study. - Tong Jian; Bruno Costa Rendon; Emmanuel Ojuba; Nasim Soltani; Zifeng Wang 002; Kunal Sankhe; Andrey Gritsenko; Jennifer G. Dy; Kaushik R. Chowdhury; Stratis Ioannidis (IEEE Internet Things Mag., 2020)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Matthew D. Li; Ken Chang; Ben Bearce; Connie Y. Chang; Ambrose J. Huang; J. Peter Campbell; James M. Brown 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

Fair caching networks. - Yuezhou Liu; Yuanyuan Li; Qian Ma 002; Stratis Ioannidis; Edmund Yeh (Perform. Evaluation, 2020)

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments. - Kunal Sankhe; Mauro Belgiovine; Fan Zhou 008; Luca Angioloni; Francesco Restuccia 001; Salvatore D'Oro; Tommaso Melodia; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Cogn. Commun. Netw., 2020)

Linear Regression from Strategic Data Sources. - Nicolas Gast; Stratis Ioannidis; Patrick Loiseau; Benjamin Roussillon (ACM Trans. Economics and Comput., 2020)

Kelly Cache Networks. - Milad Mahdian; Armin Moharrer; Stratis Ioannidis; Edmund Yeh (IEEE/ACM Trans. Netw., 2020)

Massively Distributed Graph Distances. - Armin Moharrer; Jasmin Gao; Shikun Wang; José Bento 001; Stratis Ioannidis (IEEE Trans. Signal Inf. Process. over Networks, 2020)

RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. - Nasim Soltani; Guillem Reus Muns; Batool Salehi; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2020)

Deep Spectral Ranking. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2021)

Rate Allocation and Content Placement in Cache Networks. - Khashayar Kamran; Armin Moharrer; Stratis Ioannidis; Edmund M. Yeh (INFOCOM, 2021)

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. - Veysi Yildiz; Stratis Ioannidis; Ilkay Yildiz; Peng Tian; John Peter Campbell; Susan Ostmo; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy (ISBI, 2021)

Deep Learning on Visual and Location Data for V2I mmWave Beamforming. - Guillem Reus Muns; Batool Salehi; Debashri Roy; Tong Jian; Zifeng Wang 002; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (MSN, 2021)

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. - Zifeng Wang 002; Tong Jian; Aria Masoomi; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2021)

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. - Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (PETRA, 2021)

Structurally Guided Channel Attention Networks: SGCA-Net. - Veysi Yildiz; Jennifer G. Dy; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Stratis Ioannidis; Deniz Erdogmus (PETRA, 2021)

Robust Regression via Model Based Methods. - Armin Moharrer; Khashayar Kamran; Edmund Yeh; Stratis Ioannidis (ECML/PKDD (3), 2021)

Submodular Maximization via Taylor Series Approximation. - Gözde Özcan; Armin Moharrer; Stratis Ioannidis (SDM, 2021)

On the Sample Complexity of Rank Regression from Pairwise Comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (CoRR, 2021)

JSAIT Editorial for the Special Issue on "Beyond Errors and Erasures: Coding for Data Management and Delivery in Networks". - Elza Erkip; Deniz Gündüz; Stratis Ioannidis; Jörg Kliewer; Derya Malak; Muriel Médard; R. Srikant 001 (IEEE J. Sel. Areas Inf. Theory, 2021)

Online Caching Networks with Adversarial Guarantees. - Yuanyuan Li; Tareq Si Salem; Giovanni Neglia; Stratis Ioannidis (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Cache Networks of Counting Queues. - Yuanyuan Li; Stratis Ioannidis (IEEE/ACM Trans. Netw., 2021)

DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering. - Francesco Restuccia 001; Salvatore D'Oro; Amani Al-Shawabka; Bruno Costa Rendon; Stratis Ioannidis; Tommaso Melodia (IEEE Trans. Wirel. Commun., 2021)

Differentially Private Regression with Unbounded Covariates. - Jason Milionis; Alkis Kalavasis; Dimitris A. Fotakis 001; Stratis Ioannidis (AISTATS, 2022)

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. - Sen Lin 001; Ming Shi 003; Anish Arora; Raef Bassily; Elisa Bertino; Constantine Caramanis; Kaushik R. Chowdhury; Eylem Ekici; Atilla Eryilmaz; Stratis Ioannidis; Nan Jiang 008; Gauri Joshi; et al. (CIC, 2022)

Optimizing Designs Using Several Types of Memories on Modern FPGAs. - Mehmet Güngör; Kai Huang; Stratis Ioannidis; Miriam Leeser (HPEC, 2022)

Pruning Adversarially Robust Neural Networks without Adversarial Examples. - Tong Jian; Zifeng Wang 002; Yanzhi Wang; Jennifer G. Dy; Stratis Ioannidis (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; Jennifer G. Dy (ICLR, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

Generalized Wireless Adversarial Deep Learning. - Francesco Restuccia 001; Salvatore D'Oro; Amani Al-Shawabka; Bruno Costa Rendon; Kaushik R. Chowdhury; Stratis Ioannidis; Tommaso Melodia (Comput. Networks, 2022)

Sample complexity of rank regression using pairwise comparisons. - Berkan Kadioglu; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (Pattern Recognit., 2022)

Spectral Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACM Trans. Knowl. Discov. Data, 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. - Batool Salehi; Guillem Reus Muns; Debashri Roy; Zifeng Wang 002; Tong Jian; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2022)

Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (CDC, 2023)

Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs. - Kai Huang; Mehmet Güngör; Suranga Handagala; Stratis Ioannidis; Miriam Leeser (HPEC, 2023)

Jointly Optimal Routing and Caching with Bounded Link Capacities. - Yuanyuan Li; Yuchao Zhang; Stratis Ioannidis; Jon Crowcroft (ICC, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (ICML, 2023)

Communication-Aware DNN Pruning. - Tong Jian; Debashri Roy; Batool Salehi; Nasim Soltani; Kaushik R. Chowdhury; Stratis Ioannidis (INFOCOM, 2023)

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. - Marie Siew; Shoba Arunasalam; Yichen Ruan; Ziwei Zhu; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (IPSN, 2023)

Cache-Enabled Federated Learning Systems. - Yuezhou Liu; Lili Su; Carlee Joe-Wong; Stratis Ioannidis; Edmund Yeh; Marie Siew (MobiHoc, 2023)

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. - Max Torop; Aria Masoomi; Davin Hill; Kivanç Köse; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2023)

Stochastic Submodular Maximization via Polynomial Estimators. - Gözde Özcan; Stratis Ioannidis (PAKDD (2), 2023)

AlignGraph: A Group of Generative Models for Graphs. - Kimia Shayestehfard; Dana H. Brooks; Stratis Ioannidis (SDM, 2023)

Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution. - Derya Malak; Yuanyuan Li; Stratis Ioannidis; Edmund M. Yeh; Muriel Médard (WiOpt, 2023)

Gateway Entities in Problematic Trajectories. - Xi Leslie Chen; Abhratanu Dutta; Sindhu Kiranmai Ernala; Stratis Ioannidis; Shankar Kalyanaraman; Israel Nir; Udi Weinsberg (WWW, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 001; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (CoRR, 2023)

Digital Twins for Maintaining QoS in Programmable Vehicular Networks. - Utku Demir; Suyash Pradhan; Richard Kumahia; Debashri Roy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Netw., 2023)

Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection. - Debashri Roy; Yuanyuan Li; Tong Jian; Peng Tian; Kaushik Roy Chowdhury; Stratis Ioannidis (IEEE Trans. Multim., 2023)

Graph transfer learning. - Andrey Gritsenko; Kimia Shayestehfard; Yuan Guo; Armin Moharrer; Jennifer G. Dy; Stratis Ioannidis (Knowl. Inf. Syst., 2023)

Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. - Yuanyuan Li; Yuezhou Liu; Lili Su; Edmund Yeh; Stratis Ioannidis (IEEE/ACM Trans. Netw., 2023)

No-regret Caching via Online Mirror Descent. - Tareq Si Salem; Giovanni Neglia; Stratis Ioannidis (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2023)

AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. - Sara Garcia Sanchez; Guillem Reus Muns; Carlos Bocanegra; Yanyu Li; Ufuk Muncuk; M. Yousof Naderi; Yanzhi Wang; Stratis Ioannidis; Kaushik Roy Chowdhury (IEEE/ACM Trans. Netw., 2023)

Online Submodular Maximization via Online Convex Optimization. - Tareq Si Salem; Gözde Özcan; Iasonas Nikolaou; Evimaria Terzi; Stratis Ioannidis (AAAI, 2024)

Optimizing FPGA Memory Allocation for Matrix-Matrix Multiplication Using Bayesian Optimization. - Mehmet Güngör; Stratis Ioannidis; Miriam Leeser (HPEC, 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; Kaushik R. Chowdhury (INFOCOM, 2024)

Distributed Experimental Design Networks. - Yuanyuan Li; Lili Su; Carlee Joe-Wong; Edmund Yeh; Stratis Ioannidis (INFOCOM, 2024)

Harm Mitigation in Recommender Systems under User Preference Dynamics. - Jerry Chee; Shankar Kalyanaraman; Sindhu Kiranmai Ernala; Udi Weinsberg; Sarah Dean; Stratis Ioannidis (KDD, 2024)

Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. - Ariel Evnine; Stratis Ioannidis; Dimitris Kalimeris; Shankar Kalyanaraman; Weiwei Li 006; Israel Nir; Wei Sun; Udi Weinsberg (KDD, 2024)

DITTO: DIgital Twins for Testing and Optimizing Wireless Decisions. - Richard Kumahia; Utku Demir; Suyash Pradhan; Batool Salehihikouei; Kaushik R. Chowdhury; Stratis Ioannidis (MetaCom, 2024)

JARVIS: Disjoint Large Language Models on Radio VLANs for Intelligent Services. - Miquel Sirera Perelló; Joshua Groen; Wan Liu; Stratis Ioannidis; Kaushik R. Chowdhury (MILCOM, 2024)

Exploring Token Pruning in Vision State Space Models. - Zheng Zhan 001; Zhenglun Kong; Yifan Gong 004; Yushu Wu; Zichong Meng; Hangyu Zheng; Xuan Shen; Stratis Ioannidis; Wei Niu 002; Pu Zhao 001; Yanzhi Wang (NeurIPS, 2024)

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (NeurIPS, 2024)

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. - Mauro Belgiovine; Joshua Groen; Miquel Sirera; Chinenye Tassie; Ayberk Yarkin Yildiz; Sage Trudeau; Stratis Ioannidis; Kaushik R. Chowdhury (CoRR, 2024)

Fair Concurrent Training of Multiple Models in Federated Learning. - Marie Siew; Haoran Zhang; Jong-Ik Park; Yuezhou Liu; Yichen Ruan; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (CoRR, 2024)

$ text{Omni-CNN}$: A Modality-Agnostic Neural Network for mmWave Beam Selection. - Batool Salehi; Debashri Roy; Tong Jian; Chris Dick; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE Trans. Veh. Technol., 2024)

Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. - Batool Salehi; Utku Demir; Debashri Roy; Suyash Pradhan; Jennifer G. Dy; Stratis Ioannidis; Kaushik R. Chowdhury (IEEE/ACM Trans. Netw., 2024)

Learning Set Functions with Implicit Differentiation. - Gözde Özcan; Chengzhi Shi; Stratis Ioannidis (AAAI, 2025)

Neural Point Processes for Pixel-wise Regression. - Chengzhi Shi; Gözde Özcan; Miquel Sirera Perelló; Yuanyuan Li; Nina Iftikhar Shamsi; Stratis Ioannidis (AISTATS, 2025)

Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. - Ming Xiang; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong; Lili Su (IEEE Trans. Signal Process., 2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning. - Beyza Kalkanli; Tales Imbiriba; Stratis Ioannidis; Deniz Erdogmus; Jennifer G. Dy (CoRR, 2025)

Spectral Survival Analysis. - Chengzhi Shi; Stratis Ioannidis (CoRR, 2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (CoRR, 2025)