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2020 – today
- 2024
- [j39]Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. IEEE/ACM Trans. Netw. 32(4): 3092-3110 (2024) - [j38]Batool Salehi, Debashri Roy, Tong Jian, Chris Dick, Stratis Ioannidis, Kaushik R. Chowdhury:
$\text{Omni-CNN}$: A Modality-Agnostic Neural Network for mmWave Beam Selection. IEEE Trans. Veh. Technol. 73(6): 8169-8183 (2024) - [c109]Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis:
Online Submodular Maximization via Online Convex Optimization. AAAI 2024: 15038-15046 - [c108]Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury:
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. INFOCOM 2024: 1031-1040 - [c107]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. INFOCOM 2024: 2368-2377 - [c106]Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis:
Harm Mitigation in Recommender Systems under User Preference Dynamics. KDD 2024: 255-265 - [c105]Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg:
Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. KDD 2024: 4939-4950 - [c104]Richard Kumahia, Utku Demir, Suyash Pradhan, Batool Salehihikouei, Kaushik R. Chowdhury, Stratis Ioannidis:
DITTO: DIgital Twins for Testing and Optimizing Wireless Decisions. MetaCom 2024: 121-128 - [i62]Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Ayberk Yarkin Yildiz, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury:
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. CoRR abs/2401.04837 (2024) - [i61]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. CoRR abs/2401.04996 (2024) - [i60]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR abs/2404.10091 (2024) - [i59]Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR abs/2404.13841 (2024) - [i58]Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis:
Harm Mitigation in Recommender Systems under User Preference Dynamics. CoRR abs/2406.09882 (2024) - [i57]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR abs/2409.17446 (2024) - [i56]Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang:
Exploring Token Pruning in Vision State Space Models. CoRR abs/2409.18962 (2024) - 2023
- [j37]Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph transfer learning. Knowl. Inf. Syst. 65(4): 1627-1656 (2023) - [j36]Utku Demir, Suyash Pradhan, Richard Kumahia, Debashri Roy, Stratis Ioannidis, Kaushik R. Chowdhury:
Digital Twins for Maintaining QoS in Programmable Vehicular Networks. IEEE Netw. 37(4): 208-214 (2023) - [j35]Debashri Roy, Yuanyuan Li, Tong Jian, Peng Tian, Kaushik Roy Chowdhury, Stratis Ioannidis:
Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection. IEEE Trans. Multim. 25: 2280-2295 (2023) - [j34]Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
No-regret Caching via Online Mirror Descent. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(4): 11:1-11:32 (2023) - [j33]Yuanyuan Li, Yuezhou Liu, Lili Su, Edmund Yeh, Stratis Ioannidis:
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. IEEE/ACM Trans. Netw. 31(5): 2236-2250 (2023) - [j32]Sara Garcia Sanchez, Guillem Reus Muns, Carlos Bocanegra, Yanyu Li, Ufuk Muncuk, M. Yousof Naderi, Yanzhi Wang, Stratis Ioannidis, Kaushik Roy Chowdhury:
AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. IEEE/ACM Trans. Netw. 31(6): 2470-2482 (2023) - [c103]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC 2023: 6719-6724 - [c102]Kai Huang, Mehmet Güngör, Suranga Handagala, Stratis Ioannidis, Miriam Leeser:
Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs. HPEC 2023: 1-8 - [c101]Yuanyuan Li, Yuchao Zhang, Stratis Ioannidis, Jon Crowcroft:
Jointly Optimal Routing and Caching with Bounded Link Capacities. ICC 2023: 1130-1136 - [c100]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML 2023: 36578-36592 - [c99]Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik R. Chowdhury, Stratis Ioannidis:
Communication-Aware DNN Pruning. INFOCOM 2023: 1-10 - [c98]Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - [c97]Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew:
Cache-Enabled Federated Learning Systems. MobiHoc 2023: 1-11 - [c96]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS 2023 - [c95]Gözde Özcan, Stratis Ioannidis:
Stochastic Submodular Maximization via Polynomial Estimators. PAKDD (2) 2023: 535-548 - [c94]Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis:
AlignGraph: A Group of Generative Models for Graphs. SDM 2023: 271-279 - [c93]Derya Malak, Yuanyuan Li, Stratis Ioannidis, Edmund M. Yeh, Muriel Médard:
Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution. WiOpt 2023: 310-317 - [c92]Xi Leslie Chen, Abhratanu Dutta, Sindhu Kiranmai Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg:
Gateway Entities in Problematic Trajectories. WWW 2023: 2840-2851 - [i55]Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis:
AlignGraph: A Group of Generative Models for Graphs. CoRR abs/2301.11273 (2023) - [i54]Yuanyuan Li, Yuchao Zhang, Stratis Ioannidis, Jon Crowcroft:
Jointly Optimal Routing and Caching with Bounded Link Capacities. CoRR abs/2302.02508 (2023) - [i53]Gözde Özcan, Stratis Ioannidis:
Stochastic Submodular Maximization via Polynomial Estimators. CoRR abs/2303.09960 (2023) - [i52]Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy:
Explanations of Black-Box Models based on Directional Feature Interactions. CoRR abs/2304.07670 (2023) - [i51]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR abs/2305.00380 (2023) - [i50]Batool Salehi, Utku Demir, Debashri Roy, Suyash Pradhan, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming. CoRR abs/2305.10350 (2023) - [i49]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR abs/2306.00280 (2023) - [i48]Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis:
Online Submodular Maximization via Online Convex Optimization. CoRR abs/2309.04339 (2023) - [i47]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR abs/2311.00858 (2023) - 2022
- [j31]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia:
Generalized Wireless Adversarial Deep Learning. Comput. Networks 216: 109264 (2022) - [j30]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. 130: 108688 (2022) - [j29]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data 16(6): 120:1-120:38 (2022) - [j28]Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis:
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21(11): 4078-4093 (2022) - [j27]Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Trans. Veh. Technol. 71(7): 7639-7655 (2022) - [c91]Jason Milionis, Alkis Kalavasis, Dimitris A. Fotakis, Stratis Ioannidis:
Differentially Private Regression with Unbounded Covariates. AISTATS 2022: 3242-3273 - [c90]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:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c89]Mehmet Güngör, Kai Huang, Stratis Ioannidis, Miriam Leeser:
Optimizing Designs Using Several Types of Memories on Modern FPGAs. HPEC 2022: 1-7 - [c88]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM 2022: 993-998 - [c87]Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy:
Explanations of Black-Box Models based on Directional Feature Interactions. ICLR 2022 - [c86]Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis:
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. INFOCOM 2022: 210-219 - [c85]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. NeurIPS 2022 - [c84]Yuanyuan Li, Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
Online Caching Networks with Adversarial Guarantees. SIGMETRICS (Abstracts) 2022: 91-92 - [i46]Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. CoRR abs/2201.04712 (2022) - [i45]Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis:
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. CoRR abs/2201.04830 (2022) - [i44]Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis:
Differentially Private Regression with Unbounded Covariates. CoRR abs/2202.11199 (2022) - [i43]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. CoRR abs/2209.09476 (2022) - [i42]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR abs/2210.04311 (2022) - 2021
- [j26]Elza Erkip, Deniz Gündüz, Stratis Ioannidis, Jörg Kliewer, Derya Malak, Muriel Médard, R. Srikant:
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 2(4): 1075-1077 (2021) - [j25]Yuanyuan Li, Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
Online Caching Networks with Adversarial Guarantees. Proc. ACM Meas. Anal. Comput. Syst. 5(3): 35:1-35:39 (2021) - [j24]Yuanyuan Li, Stratis Ioannidis:
Cache Networks of Counting Queues. IEEE/ACM Trans. Netw. 29(6): 2751-2764 (2021) - [j23]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, Tommaso Melodia:
DeepFIR: Channel-Robust Physical-Layer Deep Learning Through Adaptive Waveform Filtering. IEEE Trans. Wirel. Commun. 20(12): 8054-8066 (2021) - [c83]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c82]Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
No-Regret Caching via Online Mirror Descent. ICC 2021: 1-6 - [c81]Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis:
Graph Transfer Learning. ICDM 2021: 141-150 - [c80]Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, Edmund M. Yeh:
Rate Allocation and Content Placement in Cache Networks. INFOCOM 2021: 1-10 - [c79]Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI 2021: 353-357 - [c78]Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning on Visual and Location Data for V2I mmWave Beamforming. MSN 2021: 559-566 - [c77]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. NeurIPS 2021: 586-597 - [c76]Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA 2021: 33-36 - [c75]Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus:
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA 2021: 93-96 - [c74]Armin Moharrer, Khashayar Kamran, Edmund Yeh, Stratis Ioannidis:
Robust Regression via Model Based Methods. ECML/PKDD (3) 2021: 200-216 - [c73]Gözde Özcan, Armin Moharrer, Stratis Ioannidis:
Submodular Maximization via Taylor Series Approximation. SDM 2021: 423-431 - [i41]Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Rate Allocation and Content Placement in Cache Networks. CoRR abs/2101.03441 (2021) - [i40]Gözde Özcan, Armin Moharrer, Stratis Ioannidis:
Submodular Maximization via Taylor Series Approximation. CoRR abs/2101.07423 (2021) - [i39]Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
No-Regret Caching via Online Mirror Descent. CoRR abs/2101.12588 (2021) - [i38]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. CoRR abs/2102.07337 (2021) - [i37]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR abs/2105.01463 (2021) - [i36]Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy:
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. CoRR abs/2106.02734 (2021) - [i35]Armin Moharrer, Khashayar Kamran, Edmund Yeh, Stratis Ioannidis:
Robust Regression via Model Based Methods. CoRR abs/2106.10759 (2021) - 2020
- [j22]Nasim Soltani, Kunal Sankhe, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting. IEEE Commun. Mag. 58(10): 66-72 (2020) - [j21]Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. 3(1): 50-57 (2020) - [j20]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:
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine 3 (2020) - [j19]Yuezhou Liu, Yuanyuan Li, Qian Ma, Stratis Ioannidis, Edmund Yeh:
Fair caching networks. Perform. Evaluation 143: 102138 (2020) - [j18]Yuezhou Liu, Yuanyuan Li, Qian Ma, Stratis Ioannidis, Edmund Yeh:
Fair Caching Networks. SIGMETRICS Perform. Evaluation Rev. 48(3): 89-90 (2020) - [j17]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia, Stratis Ioannidis, Kaushik R. Chowdhury:
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments. IEEE Trans. Cogn. Commun. Netw. 6(1): 165-178 (2020) - [j16]Nicolas Gast, Stratis Ioannidis, Patrick Loiseau, Benjamin Roussillon:
Linear Regression from Strategic Data Sources. ACM Trans. Economics and Comput. 8(2): 10:1-10:24 (2020) - [j15]Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Kelly Cache Networks. IEEE/ACM Trans. Netw. 28(3): 1130-1143 (2020) - [j14]Armin Moharrer, Jasmin Gao, Shikun Wang, José Bento, Stratis Ioannidis:
Massively Distributed Graph Distances. IEEE Trans. Signal Inf. Process. over Networks 6: 667-683 (2020) - [j13]Nasim Soltani, Guillem Reus Muns, Batool Salehi, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Trans. Veh. Technol. 69(12): 15518-15531 (2020) - [c72]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Fast and Accurate Ranking Regression. AISTATS 2020: 77-88 - [c71]Kai Huang, Mehmet Güngör, Stratis Ioannidis, Miriam Leeser:
Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing. HPEC 2020: 1-7 - [c70]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. ICDM 2020: 631-640 - [c69]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. ICDM 2020: 641-650 - [c68]Silviu Maniu, Stratis Ioannidis, Bogdan Cautis:
Bandits Under the Influence. ICDM 2020: 1172-1177 - [c67]Yuanyuan Li, Stratis Ioannidis:
Universally Stable Cache Networks. INFOCOM 2020: 546-555 - [c66]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:
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. INFOCOM 2020: 646-655 - [c65]Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. MASS 2020: 338-346 - [c64]Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin:
Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA 2020: 13:1-13:6 - [c63]Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. SDM 2020: 640-648 - [c62]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia:
Generalized wireless adversarial deep learning. WiseML@WiSec 2020: 49-54 - [i34]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia:
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning. CoRR abs/2005.02270 (2020) - [i33]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, Tommaso Melodia:
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning. CoRR abs/2005.04226 (2020) - [i32]Silviu Maniu, Stratis Ioannidis, Bogdan Cautis:
Bandits Under The Influence (Extended Version). CoRR abs/2009.10135 (2020) - [i31]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. CoRR abs/2012.06956 (2020) - [i30]Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. CoRR abs/2012.06957 (2020)
2010 – 2019
- 2019
- [j12]José Bento, Stratis Ioannidis:
A family of tractable graph metrics. Appl. Netw. Sci. 4(1): 107:1-107:27 (2019) - [j11]Xin Fang, Stratis Ioannidis, Miriam Leeser:
SIFO: Secure Computational Infrastructure Using FPGA Overlays. Int. J. Reconfigurable Comput. 2019: 1439763:1-1439763:18 (2019) - [j10]Armin Moharrer, Stratis Ioannidis:
Distributing Frank-Wolfe via map-reduce. Knowl. Inf. Syst. 60(2): 665-690 (2019) - [j9]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:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - [c61]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. ACML 2019: 599-614 - [c60]Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN 2019: 1-10 - [c59]Nasim Soltani, Kunal Sankhe, Stratis Ioannidis, Dheryta Jaisinghani, Kaushik R. Chowdhury:
Spectrum Awareness at the Edge: Modulation Classification using Smartphones. DySPAN 2019: 1-10 - [c58]Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis:
MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP 2019: 1-5 - [c57]Kai Huang, Mehmet Güngör, Xin Fang, Stratis Ioannidis, Miriam Leeser:
Garbled Circuits in the Cloud using FPGA Enabled Nodes. HPEC 2019: 1-6 - [c56]Van Sy Mai, Stratis Ioannidis, Davide Pesavento, Lotfi Benmohamed:
Optimal Cache Allocation under Network-Wide Capacity Constraint. ICNC 2019: 816-820 - [c55]Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Kelly Cache Networks. INFOCOM 2019: 217-225 - [c54]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury:
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. INFOCOM 2019: 370-378 - [c53]Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
A Severity Score for Retinopathy of Prematurity. KDD 2019: 1809-1819 - [c52]Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis 2019: 109501R - [c51]Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis:
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections. MILCOM 2019: 598-603 - [c50]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia:
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. MobiHoc 2019: 51-60 - [c49]Miriam Leeser, Mehmet Güngör, Kai Huang, Stratis Ioannidis:
Accelerating Large Garbled Circuits on an FPGA-enabled Cloud. H2RC@SC 2019: 19-25 - [c48]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. SDM 2019: 432-440 - [i29]Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Kelly Cache Networks. CoRR abs/1901.04092 (2019) - [i28]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. CoRR abs/1901.06080 (2019) - [i27]Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia:
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. CoRR abs/1904.07623 (2019) - [i26]Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. CoRR abs/1908.03515 (2019) - [i25]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. CoRR abs/1909.03441 (2019) - [i24]Xin Fang, Stratis Ioannidis, Miriam Leeser:
SIFO: Secure Computational Infrastructure using FPGA Overlays. CoRR abs/1912.01710 (2019) - 2018
- [j8]Shamnaz Riyaz, Kunal Sankhe, Stratis Ioannidis, Kaushik R. Chowdhury:
Deep Learning Convolutional Neural Networks for Radio Identification. IEEE Commun. Mag. 56(9): 146-152 (2018) - [j7]Stratis Ioannidis, Edmund Yeh:
Jointly Optimal Routing and Caching for Arbitrary Network Topologies. IEEE J. Sel. Areas Commun. 36(6): 1258-1275 (2018) - [j6]Stratis Ioannidis, Edmund M. Yeh:
Adaptive Caching Networks With Optimality Guarantees. IEEE/ACM Trans. Netw. 26(2): 737-750 (2018) - [c47]Zhengyu Yang, Danlin Jia, Stratis Ioannidis, Ningfang Mi, Bo Sheng:
Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. IEEE CLOUD 2018: 277-284 - [c46]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. AISTATS 2018: 115-123 - [c45]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC 2018: 5745-5748 - [c44]Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - [c43]Armin Moharrer, Stratis Ioannidis:
Distributing Frank-Wolfe via Map-Reduce. IJCAI 2018: 5334-5338 - [c42]Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis:
Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth 2018: 201-207 - [c41]José Bento, Stratis Ioannidis:
A Family of Tractable Graph Distances. SDM 2018: 333-341 - [i23]José Bento, Stratis Ioannidis:
A Family of Tractable Graph Distances. CoRR abs/1801.04301 (2018) - [i22]Zhengyu Yang, Danlin Jia, Stratis Ioannidis, Ningfang Mi, Bo Sheng:
Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. CoRR abs/1804.10563 (2018) - [i21]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR abs/1809.09948 (2018) - [i20]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:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i19]Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury:
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. CoRR abs/1812.01124 (2018) - 2017
- [c40]Stratis Ioannidis, Edmund Yeh:
Jointly optimal routing and caching for arbitrary network topologies. ICN 2017: 77-87 - [c39]Xin Fang, Stratis Ioannidis, Miriam Leeser:
Secure Function Evaluation Using an FPGA Overlay Architecture. FPGA 2017: 257-266 - [c38]Armin Moharrer, Stratis Ioannidis:
Distributing Frank-Wolfe via Map-Reduce. ICDM 2017: 317-326 - [c37]Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot:
PNP: Fast Path Ensemble Method for Movie Design. KDD 2017: 1527-1536 - [i18]Stratis Ioannidis, Edmund Yeh:
Jointly Optimal Routing and Caching for Arbitrary Network Topologies. CoRR abs/1708.05999 (2017) - [i17]Stratis Ioannidis, Andrea Montanari:
Learning Combinations of Sigmoids Through Gradient Estimation. CoRR abs/1708.06678 (2017) - 2016
- [c36]Stratis Ioannidis, Edmund Yeh:
Adaptive Caching Networks with Optimality Guarantees. SIGMETRICS 2016: 113-124 - [i16]Stratis Ioannidis, Edmund Yeh:
Adaptive Caching Networks with Optimality Guarantees. CoRR abs/1604.03175 (2016) - [i15]Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot:
PNP: Fast Path Ensemble Method for Movie Design. CoRR abs/1611.02388 (2016) - 2015
- [j5]Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié:
Stable and scalable universal swarms. Distributed Comput. 28(6): 391-406 (2015) - [j4]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
From Small-World Networks to Comparison-Based Search. IEEE Trans. Inf. Theory 61(6): 3056-3074 (2015) - [c35]Rachel Cummings, Stratis Ioannidis, Katrina Ligett:
Truthful Linear Regression. COLT 2015: 448-483 - [c34]Kartik Nayak, Xiao Shaun Wang, Stratis Ioannidis, Udi Weinsberg, Nina Taft, Elaine Shi:
GraphSC: Parallel Secure Computation Made Easy. IEEE Symposium on Security and Privacy 2015: 377-394 - [i14]Rachel Cummings, Stratis Ioannidis, Katrina Ligett:
Truthful Linear Regression. CoRR abs/1506.03489 (2015) - 2014
- [j3]Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis:
Privacy Auctions for Recommender Systems. ACM Trans. Economics and Comput. 2(3): 12:1-12:22 (2014) - [c33]Yuekai Sun, Stratis Ioannidis, Andrea Montanari:
Learning Mixtures of Linear Classifiers. ICML 2014: 721-729 - [c32]Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan:
Optimal recommendations under attraction, aversion, and social influence. KDD 2014: 811-820 - [c31]Thibaut Horel, Stratis Ioannidis, S. Muthukrishnan:
Budget Feasible Mechanisms for Experimental Design. LATIN 2014: 719-730 - [c30]Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft:
Recommending with an agenda: active learning of private attributes using matrix factorization. RecSys 2014: 65-72 - [c29]Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft:
Privacy tradeoffs in predictive analytics. SIGMETRICS 2014: 57-69 - [i13]Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft:
Privacy Tradeoffs in Predictive Analytics. CoRR abs/1403.8084 (2014) - [i12]Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari:
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. CoRR abs/1408.2055 (2014) - 2013
- [c28]Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, Dan Boneh:
Privacy-preserving matrix factorization. CCS 2013: 801-812 - [c27]José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan:
A Time and Space Efficient Algorithm for Contextual Linear Bandits. ECML/PKDD (1) 2013: 257-272 - [c26]Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié:
Stable and scalable universal swarms. PODC 2013: 260-269 - [c25]Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié:
Stable and scalable universal swarms. SIGMETRICS 2013: 369-370 - [c24]Valeria Nikolaenko, Udi Weinsberg, Stratis Ioannidis, Marc Joye, Dan Boneh, Nina Taft:
Privacy-Preserving Ridge Regression on Hundreds of Millions of Records. IEEE Symposium on Security and Privacy 2013: 334-348 - [c23]Stratis Ioannidis, Patrick Loiseau:
Linear Regression as a Non-cooperative Game. WINE 2013: 277-290 - [i11]Thibaut Horel, Stratis Ioannidis, S. Muthukrishnan:
Budget Feasible Mechanisms for Experimental Design. CoRR abs/1302.5724 (2013) - [i10]Stratis Ioannidis, Patrick Loiseau:
Linear Regression as a Non-Cooperative Game. CoRR abs/1309.7824 (2013) - [i9]Yuekai Sun, Stratis Ioannidis, Andrea Montanari:
Learning Mixtures of Linear Classifiers. CoRR abs/1311.2547 (2013) - [i8]Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft:
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization. CoRR abs/1311.6802 (2013) - [i7]Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan:
A Consensus-Focused Group Recommender System. CoRR abs/1312.7076 (2013) - 2012
- [j2]Stratis Ioannidis, Laurent Massoulié, Augustin Chaintreau:
Distributed caching over heterogeneous mobile networks. Queueing Syst. Theory Appl. 72(3-4): 279-309 (2012) - [c22]Wenjie Jiang, Stratis Ioannidis, Laurent Massoulié, Fabio Picconi:
Orchestrating massively distributed CDNs. CoNEXT 2012: 133-144 - [c21]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
Comparison-Based Learning with Rank Nets. ICML 2012 - [c20]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
Hot or not: Interactive content search using comparisons. ITA 2012: 291-297 - [c19]Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, Nina Taft:
BlurMe: inferring and obfuscating user gender based on ratings. RecSys 2012: 195-202 - [c18]Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari:
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. UAI 2012: 944-953 - [c17]Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis:
Privacy Auctions for Recommender Systems. WINE 2012: 309-322 - [c16]José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan:
Group recommendations via multi-armed bandits. WWW (Companion Volume) 2012: 463-464 - [i6]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
Comparison-Based Learning with Rank Nets. CoRR abs/1206.4674 (2012) - [i5]José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan:
A Time and Space Efficient Algorithm for Contextual Linear Bandits. CoRR abs/1207.3024 (2012) - [i4]José Bento, Nadia Fawaz, Andrea Montanari, Stratis Ioannidis:
Identifying Users From Their Rating Patterns. CoRR abs/1207.6379 (2012) - [i3]Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari:
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. CoRR abs/1208.1544 (2012) - 2011
- [c15]Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi:
Distributed collaborative filtering over social networks. Allerton 2011: 1136-1142 - [c14]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
Content Search through Comparisons. ICALP (2) 2011: 601-612 - [c13]Gjergji Zyba, Geoffrey M. Voelker, Stratis Ioannidis, Christophe Diot:
Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd. INFOCOM 2011: 1179-1187 - [c12]Sibren Isaacman, Stratis Ioannidis, Augustin Chaintreau, Margaret Martonosi:
Distributed rating prediction in user generated content streams. RecSys 2011: 69-76 - [c11]Xia Zhou, Stratis Ioannidis, Laurent Massoulié:
On the stability and optimality of universal swarms. SIGMETRICS 2011: 341-352 - [i2]Amin Karbasi, Stratis Ioannidis, Laurent Massoulié:
Adaptive Content Search Through Comparisons. CoRR abs/1107.3059 (2011) - [i1]Pranav Dandekar, Nadia Fawaz, Stratis Ioannidis:
Privacy Auctions for Inner Product Disclosures. CoRR abs/1111.2885 (2011) - 2010
- [b1]Stratis Ioannidis:
Scalable and Reliable Searching in Unstructured Peer-to-peer Systems. University of Toronto, Canada, 2010 - [c10]Stratis Ioannidis, Laurent Massoulié:
Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web. INFOCOM 2010: 2507-2515 - [c9]Vishal Misra, Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié:
Incentivizing peer-assisted services: a fluid shapley value approach. SIGMETRICS 2010: 215-226 - [c8]Stratis Ioannidis, Laurent Massoulié, Augustin Chaintreau:
Distributed caching over heterogeneous mobile networks. SIGMETRICS 2010: 311-322
2000 – 2009
- 2009
- [j1]Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié:
Distributing content updates over a mobile social network. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(1): 44-47 (2009) - [c7]Stratis Ioannidis, Peter Marbach:
Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search. INFOCOM 2009: 576-584 - [c6]Stratis Ioannidis, Augustin Chaintreau, Laurent Massoulié:
Optimal and Scalable Distribution of Content Updates over a Mobile Social Network. INFOCOM 2009: 1422-1430 - [c5]Stratis Ioannidis, Augustin Chaintreau:
On the strength of weak ties in mobile social networks. SNS 2009: 19-25 - 2008
- [c4]Stratis Ioannidis, Peter Marbach:
On the design of hybrid peer-to-peer systems. SIGMETRICS 2008: 157-168 - 2006
- [c3]Stratis Ioannidis, Peter Marbach:
A Brownian Motion Model for Last Encounter Routing. INFOCOM 2006 - 2005
- [c2]Stratis Ioannidis, Christos Nomikos, Aris Pagourtzis, Stathis Zachos:
Routing and Wavelength Assignment in Generalized WDM Tree Networks of Bounded Degree. Panhellenic Conference on Informatics 2005: 57-67 - [c1]Stratis Ioannidis, Peter Marbach:
Towards an Understanding of EASE and Its Properties. WiOpt 2005: 267-276
Coauthor Index
aka: John Peter Campbell
aka: Kaushik Roy Chowdhury
aka: Edmund Yeh
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