Stratis Ioannidis

229 papers A* 51A 16B 6C 1Misc 2Journal 111Unranked 41

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. CoRR Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. Trans. Mach. Learn. Res. Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. IEEE Trans. Signal Process. Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. CoRR Zhenglun Kong, Zheng Zhan, Shiyue Hou, Yifan Gong, Xin Meng, Pengwei Sui, Peiyan Dong, Xuan Shen, Zifeng Wang, Pu Zhao, Hao Tang, Stratis Ioannidis, Yanzhi Wang
2025	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. IEEE Trans. Netw. Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2025	J	`jnl`	H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. CoRR Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros-Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer G. Dy, Stratis Ioannidis
2025	A*	`conf`	Learning Set Functions with Implicit Differentiation. AAAI Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
2025	—	`conf`	Mind the Gap: Delayed Label Bias-Variance Tradeoffs in Predicting Likelihood of Nonpayment. KDD (2) Tal Sarig, Ido Guy, Ami Tavory, Udi Weinsberg, Stratis Ioannidis
2025	A	`conf`	Neural Point Processes for Pixel-wise Regression. AISTATS Chengzhi Shi, Gözde Özcan, Miquel Sirera Perelló, YuanYuan Li, Nina Iftikhar Shamsi, Stratis Ioannidis
2025	J	`jnl`	Online Two-Stage Submodular Maximization. CoRR Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, Evimaria Terzi
2025	J	`jnl`	SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. CoRR Elifnur Sunger, Tales Imbiriba, John Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy
2025	—	`conf`	Spectral Survival Analysis. KDD (2) Chengzhi Shi, Stratis Ioannidis
2025	J	`jnl`	Spectral Survival Analysis. CoRR Chengzhi Shi, Stratis Ioannidis
2024	J	`jnl`	$\text{Omni-CNN}$: A Modality-Agnostic Neural Network for mmWave Beam Selection. IEEE Trans. Veh. Technol. Batool Salehi, Debashri Roy, Tong Jian, Chris Dick, Stratis Ioannidis, Kaushik R. Chowdhury
2024	A*	`conf`	Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. KDD Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg
2024	—	`conf`	DITTO: DIgital Twins for Testing and Optimizing Wireless Decisions. MetaCom Richard Kumahia, Utku Demir, Suyash Pradhan, Batool Salehihikouei, Kaushik R. Chowdhury, Stratis Ioannidis
2024	A*	`conf`	Distributed Experimental Design Networks. INFOCOM YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	J	`jnl`	Distributed Experimental Design Networks. CoRR YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	A*	`conf`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. NeurIPS Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	A*	`conf`	Exploring Token Pruning in Vision State Space Models. NeurIPS Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Exploring Token Pruning in Vision State Space Models. CoRR Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. CoRR Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2024	A*	`conf`	Harm Mitigation in Recommender Systems under User Preference Dynamics. KDD Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis
2024	J	`jnl`	Harm Mitigation in Recommender Systems under User Preference Dynamics. CoRR Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis
2024	—	`conf`	JARVIS: Disjoint Large Language Models on Radio VLANs for Intelligent Services. MILCOM Miquel Sirera Perelló, Joshua Groen, Wan Liu, Stratis Ioannidis, Kaushik R. Chowdhury
2024	J	`jnl`	Learning Set Functions with Implicit Differentiation. CoRR Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
2024	J	`jnl`	Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. IEEE/ACM Trans. Netw. Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2024	A*	`conf`	Online Submodular Maximization via Online Convex Optimization. AAAI Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis
2024	—	`conf`	Optimizing FPGA Memory Allocation for Matrix-Matrix Multiplication Using Bayesian Optimization. HPEC Mehmet Güngör, Stratis Ioannidis, Miriam Leeser
2024	A*	`conf`	T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. INFOCOM Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury
2024	J	`jnl`	T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. CoRR Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Ayberk Yarkin Yildiz, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury
2023	—	`conf`	Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs. HPEC Kai Huang, Mehmet Güngör, Suranga Handagala, Stratis Ioannidis, Miriam Leeser
2023	J	`jnl`	AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. IEEE/ACM Trans. Netw. Sara Garcia Sanchez, Guillem Reus Muns, Carlos Bocanegra, Yanyu Li, Ufuk Muncuk, M. Yousof Naderi, Yanzhi Wang, Stratis Ioannidis, Kaushik Roy Chowdhury
2023	A	`conf`	AlignGraph: A Group of Generative Models for Graphs. SDM Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis
2023	J	`jnl`	AlignGraph: A Group of Generative Models for Graphs. CoRR Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis
2023	B	`conf`	Cache-Enabled Federated Learning Systems. MobiHoc Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
2023	A*	`conf`	Communication-Aware DNN Pruning. INFOCOM Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik R. Chowdhury, Stratis Ioannidis
2023	J	`jnl`	Digital Twins for Maintaining QoS in Programmable Vehicular Networks. IEEE Netw. Utku Demir, Suyash Pradhan, Richard Kumahia, Debashri Roy, Stratis Ioannidis, Kaushik R. Chowdhury
2023	A*	`conf`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	J	`jnl`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	J	`jnl`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. IEEE/ACM Trans. Netw. YuanYuan Li, Yuezhou Liu, Lili Su, Edmund Yeh, Stratis Ioannidis
2023	J	`jnl`	Explanations of Black-Box Models based on Directional Feature Interactions. CoRR Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
2023	A*	`conf`	Gateway Entities in Problematic Trajectories. WWW Xi Leslie Chen, Abhratanu Dutta, Sindhu Kiranmai Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg
2023	J	`jnl`	Graph transfer learning. Knowl. Inf. Syst. Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
2023	B	`conf`	Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution. WiOpt Derya Malak, YuanYuan Li, Stratis Ioannidis, Edmund M. Yeh, Muriel Médard
2023	—	`conf`	Jointly Optimal Routing and Caching with Bounded Link Capacities. ICC YuanYuan Li, Yuchao Zhang, Stratis Ioannidis, Jon Crowcroft
2023	J	`jnl`	Jointly Optimal Routing and Caching with Bounded Link Capacities. CoRR YuanYuan Li, Yuchao Zhang, Stratis Ioannidis, Jon Crowcroft
2023	J	`jnl`	Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection. IEEE Trans. Multim. Debashri Roy, YuanYuan Li, Tong Jian, Peng Tian, Kaushik Roy Chowdhury, Stratis Ioannidis
2023	J	`jnl`	Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. CoRR Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2023	J	`jnl`	No-regret Caching via Online Mirror Descent. ACM Trans. Model. Perform. Evaluation Comput. Syst. Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
2023	J	`jnl`	Online Submodular Maximization via Online Convex Optimization. CoRR Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis
2023	—	`conf`	Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2023	A*	`conf`	SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
2023	J	`jnl`	SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy
2023	—	`conf`	Stochastic Submodular Maximization via Polynomial Estimators. PAKDD (2) Gözde Özcan, Stratis Ioannidis
2023	J	`jnl`	Stochastic Submodular Maximization via Polynomial Estimators. CoRR Gözde Özcan, Stratis Ioannidis
2023	—	`conf`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2023	J	`jnl`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2022	J	`jnl`	Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2022	J	`jnl`	Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2022	A	`conf`	Differentially Private Regression with Unbounded Covariates. AISTATS Jason Milionis, Alkis Kalavasis, Dimitris A. Fotakis, Stratis Ioannidis
2022	J	`jnl`	Differentially Private Regression with Unbounded Covariates. CoRR Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis
2022	A*	`conf`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. INFOCOM Yuezhou Liu, YuanYuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
2022	J	`jnl`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. CoRR Yuezhou Liu, YuanYuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
2022	A*	`conf`	Explanations of Black-Box Models based on Directional Feature Interactions. ICLR Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy
2022	J	`jnl`	Generalized Wireless Adversarial Deep Learning. Comput. Networks Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
2022	—	`conf`	Online Caching Networks with Adversarial Guarantees. SIGMETRICS (Abstracts) YuanYuan Li, Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
2022	—	`conf`	Optimizing Designs Using Several Types of Memories on Modern FPGAs. HPEC Mehmet Güngör, Kai Huang, Stratis Ioannidis, Miriam Leeser
2022	A*	`conf`	Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022	J	`jnl`	Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022	J	`jnl`	Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
2022	J	`jnl`	Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2022	A*	`conf`	SparCL: Sparse Continual Learning on the Edge. NeurIPS Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022	J	`jnl`	SparCL: Sparse Continual Learning on the Edge. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022	J	`jnl`	Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	—	`conf`	Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	J	`jnl`	Cache Networks of Counting Queues. IEEE/ACM Trans. Netw. YuanYuan Li, Stratis Ioannidis
2021	—	`conf`	Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2021	A	`conf`	Deep Spectral Ranking. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	J	`jnl`	DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering. IEEE Trans. Wirel. Commun. Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, Tommaso Melodia
2021	A*	`conf`	Graph Transfer Learning. ICDM Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
2021	J	`jnl`	JSAIT Editorial for the Special Issue on "Beyond Errors and Erasures: Coding for Data Management and Delivery in Networks". IEEE J. Sel. Areas Inf. Theory Elza Erkip, Deniz Gündüz, Stratis Ioannidis, Jörg Kliewer, Derya Malak, Muriel Médard, R. Srikant
2021	J	`jnl`	Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2021	—	`conf`	No-Regret Caching via Online Mirror Descent. ICC Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
2021	J	`jnl`	No-Regret Caching via Online Mirror Descent. CoRR Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
2021	J	`jnl`	On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2021	J	`jnl`	Online Caching Networks with Adversarial Guarantees. Proc. ACM Meas. Anal. Comput. Syst. YuanYuan Li, Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
2021	A*	`conf`	Rate Allocation and Content Placement in Cache Networks. INFOCOM Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, Edmund M. Yeh
2021	J	`jnl`	Rate Allocation and Content Placement in Cache Networks. CoRR Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, Edmund Yeh
2021	A*	`conf`	Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2021	J	`jnl`	Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2021	—	`conf`	Robust Regression via Model Based Methods. ECML/PKDD (3) Armin Moharrer, Khashayar Kamran, Edmund Yeh, Stratis Ioannidis
2021	J	`jnl`	Robust Regression via Model Based Methods. CoRR Armin Moharrer, Khashayar Kamran, Edmund Yeh, Stratis Ioannidis
2021	—	`conf`	Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy
2021	—	`conf`	Structurally Guided Channel Attention Networks: SGCA-Net. PETRA Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus
2021	A	`conf`	Submodular Maximization via Taylor Series Approximation. SDM Gözde Özcan, Armin Moharrer, Stratis Ioannidis
2021	J	`jnl`	Submodular Maximization via Taylor Series Approximation. CoRR Gözde Özcan, Armin Moharrer, Stratis Ioannidis
2020	J	`jnl`	Bandits Under The Influence (Extended Version). CoRR Silviu Maniu, Stratis Ioannidis, Bogdan Cautis
2020	A*	`conf`	Bandits Under the Influence. ICDM Silviu Maniu, Stratis Ioannidis, Bogdan Cautis
2020	—	`conf`	Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin
2020	A	`conf`	Deep Kernel Learning for Clustering. SDM Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy
2020	J	`jnl`	Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2020	J	`jnl`	DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning. CoRR Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, Tommaso Melodia
2020	A*	`conf`	Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. INFOCOM Amani Al-Shawabka, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2020	J	`jnl`	Fair Caching Networks. SIGMETRICS Perform. Evaluation Rev. Yuezhou Liu, YuanYuan Li, Qian Ma, Stratis Ioannidis, Edmund Yeh
2020	J	`jnl`	Fair caching networks. Perform. Evaluation Yuezhou Liu, YuanYuan Li, Qian Ma, Stratis Ioannidis, Edmund Yeh
2020	A	`conf`	Fast and Accurate Ranking Regression. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2020	—	`conf`	Generalized wireless adversarial deep learning. WiseML@WiSec Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia
2020	J	`jnl`	Hacking the Waveform: Generalized Wireless Adversarial Deep Learning. CoRR Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia
2020	J	`jnl`	Kelly Cache Networks. IEEE/ACM Trans. Netw. Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh
2020	A*	`conf`	Learn-Prune-Share for Lifelong Learning. ICDM Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020	J	`jnl`	Learn-Prune-Share for Lifelong Learning. CoRR Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020	J	`jnl`	Linear Regression from Strategic Data Sources. ACM Trans. Economics and Comput. Nicolas Gast, Stratis Ioannidis, Patrick Loiseau, Benjamin Roussillon
2020	B	`conf`	Machine Learning on Camera Images for Fast mmWave Beamforming. MASS Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	J	`jnl`	Massively Distributed Graph Distances. IEEE Trans. Signal Inf. Process. over Networks Armin Moharrer, Jasmin Gao, Shikun Wang, José Bento, Stratis Ioannidis
2020	J	`jnl`	More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. IEEE Commun. Mag. Nasim Soltani, Kunal Sankhe, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	J	`jnl`	No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments. IEEE Trans. Cogn. Commun. Netw. Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia, Stratis Ioannidis, Kaushik R. Chowdhury
2020	A*	`conf`	Open-World Class Discovery with Kernel Networks. ICDM Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2020	J	`jnl`	Open-World Class Discovery with Kernel Networks. CoRR Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2020	—	`conf`	Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing. HPEC Kai Huang, Mehmet Güngör, Stratis Ioannidis, Miriam Leeser
2020	J	`jnl`	RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Trans. Veh. Technol. Nasim Soltani, Guillem Reus Muns, Batool Salehi, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020	J	`jnl`	Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer
2020	A*	`conf`	Universally Stable Cache Networks. INFOCOM YuanYuan Li, Stratis Ioannidis
2019	A*	`conf`	A Severity Score for Retinopathy of Prematurity. KDD Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2019	J	`jnl`	A family of tractable graph metrics. Appl. Netw. Sci. José Bento, Stratis Ioannidis
2019	A	`conf`	Accelerated Experimental Design for Pairwise Comparisons. SDM Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Accelerated Experimental Design for Pairwise Comparisons. CoRR Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	—	`conf`	Accelerating Large Garbled Circuits on an FPGA-enabled Cloud. H2RC@SC Miriam Leeser, Mehmet Güngör, Kai Huang, Stratis Ioannidis
2019	J	`jnl`	Classification and comparison via neural networks. Neural Networks Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Deep Kernel Learning for Clustering. CoRR Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy
2019	B	`conf`	DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. MobiHoc Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2019	J	`jnl`	DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. CoRR Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2019	J	`jnl`	Distributing Frank-Wolfe via map-reduce. Knowl. Inf. Syst. Armin Moharrer, Stratis Ioannidis
2019	—	`conf`	Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2019	—	`conf`	Garbled Circuits in the Cloud using FPGA Enabled Nodes. HPEC Kai Huang, Mehmet Güngör, Xin Fang, Stratis Ioannidis, Miriam Leeser
2019	—	`conf`	Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis
2019	—	`conf`	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller
2019	J	`jnl`	Iterative Spectral Method for Alternative Clustering. CoRR Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
2019	A*	`conf`	Kelly Cache Networks. INFOCOM Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh
2019	J	`jnl`	Kelly Cache Networks. CoRR Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh
2019	—	`conf`	MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2019	A*	`conf`	ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. INFOCOM Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury
2019	Misc	`conf`	Optimal Cache Allocation under Network-Wide Capacity Constraint. ICNC Van Sy Mai, Stratis Ioannidis, Davide Pesavento, Lotfi Benmohamed
2019	J	`jnl`	SIFO: Secure Computational Infrastructure Using FPGA Overlays. Int. J. Reconfigurable Comput. Xin Fang, Stratis Ioannidis, Miriam Leeser
2019	J	`jnl`	SIFO: Secure Computational Infrastructure using FPGA Overlays. CoRR Xin Fang, Stratis Ioannidis, Miriam Leeser
2019	—	`conf`	Spectrum Awareness at the Edge: Modulation Classification using Smartphones. DySPAN Nasim Soltani, Kunal Sankhe, Stratis Ioannidis, Dheryta Jaisinghani, Kaushik R. Chowdhury
2019	C	`conf`	Variational Inference from Ranked Samples with Features. ACML Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2018	A	`conf`	A Family of Tractable Graph Distances. SDM José Bento, Stratis Ioannidis
2018	J	`jnl`	A Family of Tractable Graph Distances. CoRR José Bento, Stratis Ioannidis
2018	J	`jnl`	Adaptive Caching Networks With Optimality Guarantees. IEEE/ACM Trans. Netw. Stratis Ioannidis, Edmund M. Yeh
2018	J	`jnl`	Deep Learning Convolutional Neural Networks for Radio Identification. IEEE Commun. Mag. Shamnaz Riyaz, Kunal Sankhe, Stratis Ioannidis, Kaushik R. Chowdhury
2018	J	`jnl`	Deep feature transfer between localization and segmentation tasks. CoRR 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
2018	A*	`conf`	Distributing Frank-Wolfe via Map-Reduce. IJCAI Armin Moharrer, Stratis Ioannidis
2018	A*	`conf`	Experimental Design under the Bradley-Terry Model. IJCAI Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis
2018	—	`conf`	Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. IEEE CLOUD Zhengyu Yang, Danlin Jia, Stratis Ioannidis, Ningfang Mi, Bo Sheng
2018	J	`jnl`	Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. CoRR Zhengyu Yang, Danlin Jia, Stratis Ioannidis, Ningfang Mi, Bo Sheng
2018	A	`conf`	Iterative Spectral Method for Alternative Clustering. AISTATS Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
2018	J	`jnl`	Jointly Optimal Routing and Caching for Arbitrary Network Topologies. IEEE J. Sel. Areas Commun. Stratis Ioannidis, Edmund Yeh
2018	J	`jnl`	ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. CoRR Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury
2018	—	`conf`	Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis
2018	—	`conf`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2018	J	`jnl`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2017	A*	`conf`	Distributing Frank-Wolfe via Map-Reduce. ICDM Armin Moharrer, Stratis Ioannidis
2017	J	`jnl`	Jointly Optimal Routing and Caching for Arbitrary Network Topologies. CoRR Stratis Ioannidis, Edmund Yeh
2017	—	`conf`	Jointly optimal routing and caching for arbitrary network topologies. ICN Stratis Ioannidis, Edmund Yeh
2017	J	`jnl`	Learning Combinations of Sigmoids Through Gradient Estimation. CoRR Stratis Ioannidis, Andrea Montanari
2017	A*	`conf`	PNP: Fast Path Ensemble Method for Movie Design. KDD Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot
2017	A	`conf`	Secure Function Evaluation Using an FPGA Overlay Architecture. FPGA Xin Fang, Stratis Ioannidis, Miriam Leeser
2016	A*	`conf`	Adaptive Caching Networks with Optimality Guarantees. SIGMETRICS Stratis Ioannidis, Edmund Yeh
2016	J	`jnl`	Adaptive Caching Networks with Optimality Guarantees. CoRR Stratis Ioannidis, Edmund Yeh
2016	J	`jnl`	PNP: Fast Path Ensemble Method for Movie Design. CoRR Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot
2015	J	`jnl`	From Small-World Networks to Comparison-Based Search. IEEE Trans. Inf. Theory Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2015	A*	`conf`	GraphSC: Parallel Secure Computation Made Easy. IEEE Symposium on Security and Privacy Kartik Nayak, Xiao Shaun Wang, Stratis Ioannidis, Udi Weinsberg, Nina Taft, Elaine Shi
2015	J	`jnl`	Stable and scalable universal swarms. Distributed Comput. Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
2015	A*	`conf`	Truthful Linear Regression. COLT Rachel Cummings, Stratis Ioannidis, Katrina Ligett
2015	J	`jnl`	Truthful Linear Regression. CoRR Rachel Cummings, Stratis Ioannidis, Katrina Ligett
2014	B	`conf`	Budget Feasible Mechanisms for Experimental Design. LATIN Thibaut Horel, Stratis Ioannidis, S. Muthukrishnan
2014	J	`jnl`	Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. CoRR Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari
2014	A*	`conf`	Learning Mixtures of Linear Classifiers. ICML Yuekai Sun, Stratis Ioannidis, Andrea Montanari
2014	A*	`conf`	Optimal recommendations under attraction, aversion, and social influence. KDD Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan
2014	J	`jnl`	Privacy Auctions for Recommender Systems. ACM Trans. Economics and Comput. Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis
2014	J	`jnl`	Privacy Tradeoffs in Predictive Analytics. CoRR Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft
2014	A*	`conf`	Privacy tradeoffs in predictive analytics. SIGMETRICS Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft
2014	A	`conf`	Recommending with an agenda: active learning of private attributes using matrix factorization. RecSys Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft
2013	J	`jnl`	A Consensus-Focused Group Recommender System. CoRR Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
2013	—	`conf`	A Time and Space Efficient Algorithm for Contextual Linear Bandits. ECML/PKDD (1) José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
2013	J	`jnl`	Budget Feasible Mechanisms for Experimental Design CoRR Thibaut Horel, Stratis Ioannidis, S. Muthukrishnan
2013	J	`jnl`	Learning Mixtures of Linear Classifiers. CoRR Yuekai Sun, Stratis Ioannidis, Andrea Montanari
2013	J	`jnl`	Linear Regression as a Non-Cooperative Game. CoRR Stratis Ioannidis, Patrick Loiseau
2013	—	`conf`	Linear Regression as a Non-cooperative Game. WINE Stratis Ioannidis, Patrick Loiseau
2013	A*	`conf`	Privacy-Preserving Ridge Regression on Hundreds of Millions of Records. IEEE Symposium on Security and Privacy Valeria Nikolaenko, Udi Weinsberg, Stratis Ioannidis, Marc Joye, Dan Boneh, Nina Taft
2013	A*	`conf`	Privacy-preserving matrix factorization. CCS Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, Dan Boneh
2013	J	`jnl`	Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization. CoRR Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft
2013	A*	`conf`	Stable and scalable universal swarms. PODC Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
2013	A*	`conf`	Stable and scalable universal swarms. SIGMETRICS Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
2012	J	`jnl`	A Time and Space Efficient Algorithm for Contextual Linear Bandits CoRR José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
2012	A	`conf`	BlurMe: inferring and obfuscating user gender based on ratings. RecSys Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, Nina Taft
2012	J	`jnl`	Comparison-Based Learning with Rank Nets CoRR Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2012	A*	`conf`	Comparison-Based Learning with Rank Nets. ICML Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2012	J	`jnl`	Distributed caching over heterogeneous mobile networks. Queueing Syst. Theory Appl. Stratis Ioannidis, Laurent Massoulié, Augustin Chaintreau
2012	—	`conf`	Group recommendations via multi-armed bandits. WWW (Companion Volume) José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
2012	J	`jnl`	Guess Who Rated This Movie: Identifying Users Through Subspace Clustering CoRR Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari
2012	A	`conf`	Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. UAI Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari
2012	Misc	`conf`	Hot or not: Interactive content search using comparisons. ITA Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2012	J	`jnl`	Identifying Users From Their Rating Patterns CoRR José Bento, Nadia Fawaz, Andrea Montanari, Stratis Ioannidis
2012	A	`conf`	Orchestrating massively distributed CDNs. CoNEXT Wenjie Jiang, Stratis Ioannidis, Laurent Massoulié, Fabio Picconi
2012	—	`conf`	Privacy Auctions for Recommender Systems. WINE Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis
2011	J	`jnl`	Adaptive Content Search Through Comparisons CoRR Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2011	—	`conf`	Content Search through Comparisons. ICALP (2) Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
2011	A*	`conf`	Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd. INFOCOM Gjergji Zyba, Geoffrey M. Voelker, Stratis Ioannidis, Christophe Diot
2011	—	`conf`	Distributed collaborative filtering over social networks. Allerton Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi
2011	A	`conf`	Distributed rating prediction in user generated content streams. RecSys Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi
2011	A*	`conf`	On the stability and optimality of universal swarms. SIGMETRICS Xia Zhou, Stratis Ioannidis, Laurent Massoulié
2011	J	`jnl`	Privacy Auctions for Inner Product Disclosures CoRR Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis
2010	A*	`conf`	Distributed caching over heterogeneous mobile networks. SIGMETRICS Stratis Ioannidis, Laurent Massoulié, Augustin Chaintreau
2010	A*	`conf`	Incentivizing peer-assisted services: a fluid shapley value approach. SIGMETRICS Vishal Misra, Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié
2010	—	`—`	Scalable and Reliable Searching in Unstructured Peer-to-peer Systems. Stratis Ioannidis
2010	A*	`conf`	Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web. INFOCOM Stratis Ioannidis, Laurent Massoulié
2009	A*	`conf`	Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search. INFOCOM Stratis Ioannidis, Peter Marbach
2009	J	`jnl`	Distributing content updates over a mobile social network. ACM SIGMOBILE Mob. Comput. Commun. Rev. Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié
2009	—	`conf`	On the strength of weak ties in mobile social networks. SNS Stratis Ioannidis, Augustin Chaintreau
2009	A*	`conf`	Optimal and Scalable Distribution of Content Updates over a Mobile Social Network. INFOCOM Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié
2008	A*	`conf`	On the design of hybrid peer-to-peer systems. SIGMETRICS Stratis Ioannidis, Peter Marbach
2006	A*	`conf`	A Brownian Motion Model for Last Encounter Routing. INFOCOM Stratis Ioannidis, Peter Marbach
2005	—	`conf`	Routing and Wavelength Assignment in Generalized WDM Tree Networks of Bounded Degree. Panhellenic Conference on Informatics Stratis Ioannidis, Christos Nomikos, Aris Pagourtzis, Stathis Zachos
2005	B	`conf`	Towards an Understanding of EASE and Its Properties. WiOpt Stratis Ioannidis, Peter Marbach