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ORCIDNicholas D. Sidiropoulos
Nikos D. Sidiropoulos – Nikolas D. Sidiropoulos – Nikolaos D. Sidiropoulos
Person information
- affiliation: University of Minnesota-Twin Cities, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- affiliation: Technical University of Crete, Greece
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation: University of Maryland, College Park, MD, USA
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2020 – today
- 2022
[j153]Mohamed Salah Ibrahim
, Ahmed Hussain, Nicholas D. Sidiropoulos:
A Novel Linear Precoder Design for Reliable UL/DL Detection in TDD Cellular Networks. IEEE Trans. Commun. 70(12): 8167-8180 (2022)- [j152]Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosini Papadaki:
Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis. IEEE Trans. Image Process. 31: 4011-4022 (2022) - [j151]Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Large Scale Tensor Factorization via Parallel Sketches. IEEE Trans. Knowl. Data Eng. 34(1): 365-378 (2022) - [j150]Aritra Konar, Nicholas D. Sidiropoulos:
Graph Matching Via the Lens of Supermodularity. IEEE Trans. Knowl. Data Eng. 34(5): 2200-2211 (2022) - [j149]Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos:
Probabilistic Simplex Component Analysis. IEEE Trans. Signal Process. 70: 582-599 (2022) - [j148]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations. IEEE Trans. Signal Process. 70: 2654-2668 (2022) - [j147]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. IEEE Trans. Signal Process. 70: 2669-2680 (2022) - [j146]Mikael Sørensen, Nicholas D. Sidiropoulos, Ananthram Swami:
Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms. IEEE Trans. Signal Process. 70: 4321-4336 (2022) - [j145]Mohamed Salah Ibrahim, Paris A. Karakasis, Nicholas D. Sidiropoulos:
A Simple and Practical Underlay Scheme for Short-Range Secondary Communication. IEEE Trans. Wirel. Commun. 21(11): 9990-10004 (2022) - [c162]Aritra Konar, Nicholas D. Sidiropoulos:
The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization. AAAI 2022: 4075-4082 - [c161]Mikael Sørensen, Nicholas D. Sidiropoulos:
Identifiability Results for Nonuniform Linear and Rectangular Sensor Arrays. EUSIPCO 2022: 1736-1740 - [c160]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
GAGE: Geometry Preserving Attributed Graph Embeddings. WSDM 2022: 439-448 - [i51]Magda Amiridi, Nicholas D. Sidiropoulos:
Learning Multivariate CDFs and Copulas using Tensor Factorization. CoRR abs/2210.07132 (2022) - [i50]Nicholas D. Sidiropoulos, Paris A. Karakasis, Aritra Konar:
Finding the smallest or largest element of a tensor from its low-rank factors. CoRR abs/2210.11413 (2022) - 2021
- [j144]Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Prema: Principled Tensor Data Recovery From Multiple Aggregated Views. IEEE J. Sel. Top. Signal Process. 15(3): 535-549 (2021) - [j143]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. IEEE Trans. Knowl. Data Eng. 33(3): 909-920 (2021) - [j142]Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low, Nicholas D. Sidiropoulos:
Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections. IEEE Trans. Smart Grid 12(4): 3232-3241 (2021) - [j141]Nikos Kargas, Nicholas D. Sidiropoulos:
Supervised Learning and Canonical Decomposition of Multivariate Functions. IEEE Trans. Signal Process. 69: 1097-1107 (2021) - [j140]Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. IEEE Trans. Signal Process. 69: 2452-2467 (2021) - [j139]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity. IEEE Trans. Signal Process. 69: 6195-6205 (2021) - [j138]Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar, Nicholas D. Sidiropoulos:
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation. IEEE Trans. Wirel. Commun. 20(11): 7431-7444 (2021) - [c159]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI 2021: 4830-4837 - [c158]Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. AAAI 2021: 6609-6617 - [c157]Faisal M. Almutairi, Nicholas D. Sidiropoulos, Bo Yang:
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering. CIKM 2021: 2847-2851 - [c156]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay via Canonical Correlation Analysis. ICASSP 2021: 8123-8127 - [c155]Mohamed Salah Ibrahim, Saeed R. Khosravirad, Jakub Mazgula, Harish Viswanathan, Nicholas D. Sidiropoulos:
Beam Selection for Ultra-Reliable Low-Latency Communication in Industrial Environment with Beamforming Repeaters. ICC Workshops 2021: 1-6 - [c154]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI 2021: 2906-2912 - [c153]Paris A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos:
Joint Graph Embedding and Alignment with Spectral Pivot. KDD 2021: 851-859 - [c152]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. SDM 2021: 603-611 - [c151]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Secure Low-power IoT Uplink Communication via Unsupervised Signal Alignment. SPAWC 2021: 196-200 - [c150]Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos:
Robust Probabilistic Simplex Component Analysis. SSP 2021: 456-460 - [c149]Aritra Konar, Nicholas D. Sidiropoulos:
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension. WSDM 2021: 743-751 - [i49]Aritra Konar, Nicholas D. Sidiropoulos:
Exploring the Subgraph Density-Size Trade-off via the Lovász Extension. CoRR abs/2102.03434 (2021) - [i48]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR abs/2105.05326 (2021) - [i47]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. CoRR abs/2106.10591 (2021) - [i46]Zack W. Almquist, Tri Duc Nguyen, Mikael Sørensen, Xiao Fu, Nicholas D. Sidiropoulos:
Uncovering migration systems through spatio-temporal tensor co-clustering. CoRR abs/2112.15296 (2021) - 2020
- [j137]Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping. IEEE Trans. Computational Imaging 6: 194-207 (2020) - [j136]Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks 6: 271-283 (2020) - [j135]Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. 68: 1-16 (2020) - [j134]Mohamed Salah Ibrahim, Aritra Konar, Nicholas D. Sidiropoulos:
Fast Algorithms for Joint Multicast Beamforming and Antenna Selection in Massive MIMO. IEEE Trans. Signal Process. 68: 1897-1909 (2020) - [j133]Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. 68: 2857-2869 (2020) - [j132]Mikael Sørensen, Nicholas D. Sidiropoulos:
Multi-Set Low-Rank Factorizations With Shared and Unshared Components. IEEE Trans. Signal Process. 68: 5122-5137 (2020) - [j131]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Reliable Detection of Unknown Cell-Edge Users via Canonical Correlation Analysis. IEEE Trans. Wirel. Commun. 19(6): 4170-4182 (2020) - [j130]Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 29(5): 1129-1148 (2020) - [c148]Nikos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. AAAI 2020: 4420-4427 - [c147]Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling. ACSSC 2020: 27-31 - [c146]Nikos Kargas, Nicholas D. Sidiropoulos:
Supervised Learning via Ensemble Tensor Completion. ACSSC 2020: 196-199 - [c145]Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki:
Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis *. EMBC 2020: 1497-1502 - [c144]Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki:
Multi-subject Resting-State fMRI Data Analysis via Generalized Canonical Correlation Analysis. EUSIPCO 2020: 1040-1044 - [c143]Aritra Konar, Nicholas D. Sidiropoulos:
Soft Graph Matching: Submodular Relaxation and Lovász Extension. ICDM 2020: 262-271 - [c142]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Weak Target Detection in MIMO Radar via Beamspace Canonical Correlation. SAM 2020: 1-5 - [c141]Aritra Konar, Nicholas D. Sidiropoulos:
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods. KDD 2020: 577-587 - [c140]Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Tendi: Tensor Disaggregation from Multiple Coarse Views. PAKDD (2) 2020: 867-880 - [c139]Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos:
Identifying Potential Investors with Data Driven Approaches. SDM 2020: 235-243 - [c138]Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Phased: Phase-Aware Submodularity-Based Energy Disaggregation. NILM@SenSys 2020: 94-98 - [c137]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Delay-locking: Unraveling Multiple Unknown Signals in Unknown Multipath. SPAWC 2020: 1-5 - [i45]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis. CoRR abs/2003.02255 (2020) - [i44]Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. CoRR abs/2003.11205 (2020) - [i43]Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
GRATE: Granular Recovery of Aggregated Tensor Data by Example. CoRR abs/2003.12666 (2020) - [i42]Aritra Konar, Nicholas D. Sidiropoulos:
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods. CoRR abs/2008.07996 (2020) - [i41]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. CoRR abs/2008.12315 (2020) - [i40]Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation. CoRR abs/2010.00696 (2020) - [i39]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. CoRR abs/2010.11367 (2020) - [i38]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity. CoRR abs/2010.16181 (2020) - [i37]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
GAGE: Geometry Preserving Attributed Graph Embeddings. CoRR abs/2011.01422 (2020) - [i36]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR abs/2012.04747 (2020) - [i35]Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. CoRR abs/2012.10853 (2020)
2010 – 2019
- 2019
- [j129]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I. IEEE J. Sel. Areas Commun. 37(10): 2181-2183 (2019) - [j128]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. IEEE J. Sel. Areas Commun. 37(10): 2184-2199 (2019) - [j127]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part 2. IEEE J. Sel. Areas Commun. 37(11): 2409-2412 (2019) - [j126]Cheng Qian, Xiao Fu, Nikolaos D. Sidiropoulos:
Algebraic Channel Estimation Algorithms for FDD Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. 13(5): 961-973 (2019) - [j125]Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong:
Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1056-1071 (2019) - [j124]Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos:
Amplitude Retrieval for Channel Estimation of MIMO Systems With One-Bit ADCs. IEEE Signal Process. Lett. 26(11): 1698-1702 (2019) - [j123]Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma:
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. IEEE Signal Process. Mag. 36(2): 59-80 (2019) - [j122]Ahmed S. Zamzam, Emiliano Dall'Anese, Changhong Zhao, Josh A. Taylor, Nicholas D. Sidiropoulos:
Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution. IEEE Trans. Control. Netw. Syst. 6(1): 37-47 (2019) - [j121]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [j120]Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong:
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. IEEE Trans. Signal Process. 67(2): 306-319 (2019) - [c136]Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC 2019: 1040-1044 - [c135]Nikos Kargas, Nicholas D. Sidiropoulos:
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. AISTATS 2019: 388-396 - [c134]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Statistical Learning Using Hierarchical Modeling of Probability Tensors. DSW 2019: 290-294 - [c133]Martijn Boussé, Nikos D. Sidiropoulos, Lieven De Lathauwer:
NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution. EUSIPCO 2019: 1-5 - [c132]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling. EUSIPCO 2019: 1-5 - [c131]Mikael Sørensen, Nikolaos D. Sidiropoulos:
Joint Low-Rank Factorizations with Shared and Unshared Components: Identifiability and Algorithms. EUSIPCO 2019: 1-5 - [c130]Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu:
Regular Sampling of Tensor Signals: Theory and Application to FMRI. ICASSP 2019: 2932-2936 - [c129]Aritra Konar, Nicholas D. Sidiropoulos:
Fast Optimization of Boolean Quadratic Functions via Iterative Submodular Approximation and Max-flow. ICASSP 2019: 5591-5595 - [c128]Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad:
From Gene Expression to Drug Response: A Collaborative Filtering Approach. ICASSP 2019: 7465-7469 - [c127]Mikael Sørensen, Nicholas D. Sidiropoulos, Lieven De Lathauwer:
Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. ICASSP 2019: 7490-7494 - [c126]Aritra Konar, Nicholas D. Sidiropoulos:
Iterative Graph Alignment via Supermodular Approximation. ICDM 2019: 1162-1167 - [c125]Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos:
A Simple Algebraic Channel Estimation Method for FDD Massive MIMO Systems. SPAWC 2019: 1-5 - [c124]Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Cell-edge Interferometry: Reliable Detection of Unknown Cell-edge Users via Canonical Correlation Analysis. SPAWC 2019: 1-5 - [i34]Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR abs/1901.01568 (2019) - [i33]Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt:
TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR abs/1902.10226 (2019) - [i32]Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Physics-Aware Neural Networks for Distribution System State Estimation. CoRR abs/1903.09669 (2019) - [i31]Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
Energy Storage Management via Deep Q-Networks. CoRR abs/1903.11107 (2019) - [i30]Nikos Kargas, Nicholas D. Sidiropoulos:
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. CoRR abs/1904.01156 (2019) - [i29]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. CoRR abs/1904.12385 (2019) - [i28]Nikolaos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. CoRR abs/1906.05746 (2019) - [i27]Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos:
REP: Predicting the Time-Course of Drug Sensitivity. CoRR abs/1907.11911 (2019) - [i26]Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views. CoRR abs/1910.12001 (2019) - 2018
- [j119]Faisal M. Almutairi, Fan Yang, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data. Proc. VLDB Endow. 11(11): 1496-1508 (2018) - [j118]Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos:
On Identifiability of Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 25(3): 328-332 (2018) - [j117]Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall'Anese:
Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables. IEEE Trans. Smart Grid 9(5): 3966-3975 (2018) - [j116]Athanasios P. Liavas, Georgios Kostoulas, Georgios Lourakis, Kejun Huang, Nicholas D. Sidiropoulos:
Nesterov-Based Alternating Optimization for Nonnegative Tensor Factorization: Algorithm and Parallel Implementation. IEEE Trans. Signal Process. 66(4): 944-953 (2018) - [j115]Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. IEEE Trans. Signal Process. 66(6): 1649-1658 (2018) - [j114]Tianyu Qiu, Xiao Fu, Nicholas D. Sidiropoulos, Daniel P. Palomar:
MISO Channel Estimation and Tracking from Received Signal Strength Feedback. IEEE Trans. Signal Process. 66(7): 1691-1704 (2018) - [j113]Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu:
Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors. IEEE Trans. Signal Process. 66(18): 4854-4868 (2018) - [j112]Aritra Konar, Nicholas D. Sidiropoulos:
A Simple and Effective Approach for Transmit Antenna Selection in Multiuser Massive MIMO Leveraging Submodularity. IEEE Trans. Signal Process. 66(18): 4869-4883 (2018) - [j111]Panos N. Alevizos, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang, Aggelos Bletsas:
Limited Feedback Channel Estimation in Massive MIMO With Non-Uniform Directional Dictionaries. IEEE Trans. Signal Process. 66(19): 5127-5141 (2018) - [j110]Yunmei Shi, Aritra Konar, Nicholas D. Sidiropoulos, Xingpeng Mao, Yongtan Liu:
Learning to Beamform for Minimum Outage. IEEE Trans. Signal Process. 66(19): 5180-5193 (2018) - [j109]Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos:
Learning to Optimize: Training Deep Neural Networks for Interference Management. IEEE Trans. Signal Process. 66(20): 5438-5453 (2018) - [j108]Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos, Ye Yang:
Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems. IEEE Trans. Signal Process. 66(24): 6390-6403 (2018) - [j107]Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma:
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach. IEEE Trans. Signal Process. 66(24): 6503-6517 (2018) - [c123]Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
On Convergence of Epanechnikov Mean Shift. AAAI 2018: 3263-3270 - [c122]Ahmed S. Zamzam, Emiliano Dall'Anese, Nicholas D. Sidiropoulos:
Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition. CDC 2018: 2396-2401 - [c121]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos:
Imputation of Coupled Tensors and Graphs.