| Sensor network localization by eigenvector synchronization over the Euclidean group M Cucuringu, Y Lipman, A Singer ACM Transactions on Sensor Networks (TOSN) 8 (3), 19, 2012 | 153 | 2012 |
| Uniqueness of low-rank matrix completion by rigidity theory A Singer, M Cucuringu SIAM Journal on Matrix Analysis and Applications 31 (4), 1621-1641, 2010 | 140 | 2010 |
| Density-based and transport-based core-periphery structures in networks SH Lee, M Cucuringu, MA Porter Physical Review E 89 (3), 032810, 2014 | 100 | 2014 |
| Detection of Core-Periphery Structure in Networks Using Spectral Methods and Geodesic Paths M Cucuringu, MP Rombach, SH Lee, MA Porter European Journal of Applied Mathematics, Vol. 27, No. 6: 846-887 (2016), 2016 | 99 | 2016 |
| Anomaly Detection in Networks with Application to Financial Transaction Networks A Elliott, M Cucuringu, MM Luaces, P Reidy, G Reinert arXiv preprint arXiv:1901.00402, 2019 | 92* | 2019 |
| Eigenvector synchronization, graph rigidity and the molecule problem M Cucuringu, A Singer, D Cowburn Information and Inference: A Journal of the IMA 1 (1), 21-67, 2012 | 88 | 2012 |
| Sync-Rank: Robust ranking, constrained ranking and rank aggregation via eigenvector and SDP synchronization M Cucuringu IEEE Transactions on Network Science and Engineering 3 (1), 58-79, 2016 | 83 | 2016 |
| Simple and Scalable Constrained Clustering: A Generalized Spectral Method RP M. Cucuringu, I. Koutis, S. Chawla, G. Miller AISTATS 2016 (Artificial Intelligence and Statistics Conference), 2016 | 67* | 2016 |
| SPONGE: A generalized eigenproblem for clustering signed networks M Cucuringu, P Davies, A Glielmo, H Tyagi AISTATS 2019, 2019 | 66 | 2019 |
| Hermitian matrices for clustering directed graphs: insights and applications M Cucuringu, H Li, H Sun, L Zanetti International Conference on Artificial Intelligence and Statistics, 983-992, 2020 | 51 | 2020 |
| Synchronization over Z_2 and community detection in signed multiplex networks with constraints M Cucuringu Journal of Complex Networks 3 (3), 469-506, 2015 | 41 | 2015 |
| Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108, 77-95, 2019 | 35 | 2019 |
| Core–periphery structure in directed networks A Elliott, A Chiu, M Bazzi, G Reinert, M Cucuringu Proceedings of the Royal Society A 476 (2241), 20190783, 2020 | 34 | 2020 |
| Equity2vec: End-to-end deep learning framework for cross-sectional asset pricing Q Wu, CG Brinton, Z Zhang, A Pizzoferrato, Z Liu, M Cucuringu International Conference on AI in Finance (ICAIF 2021), 2019 | 33* | 2019 |
| Localization on low-order eigenvectors of data matrices M Cucuringu, MW Mahoney arXiv preprint arXiv:1109.1355, 2011 | 32 | 2011 |
| SSSNET: Semi-Supervised Signed Network Clustering Y He, G Reinert, S Wang, M Cucuringu Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 28 | 2022 |
| Extracting spatial information from networks with low-order eigenvectors M Cucuringu, VD Blondel, P Van Dooren Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (3 …, 2013 | 28 | 2013 |
| Volatility forecasting with machine learning and intraday commonality C Zhang, Y Zhang, M Cucuringu, Z Qian Journal of Financial Econometrics 22 (2), 492-530, 2024 | 26 | 2024 |
| Fin-GAN: Forecasting and classifying financial time series via generative adversarial networks M Vuletić, F Prenzel, M Cucuringu Quantitative Finance, 1-25, 2024 | 26 | 2024 |
| Tail-GAN: Learning to Simulate Tail Risk Scenarios R Cont, M Cucuringu, R Xu, C Zhang Available at SSRN 3812973, 2022 | 26* | 2022 |
Gesine ReinertProfessor of Statistics, University of Oxford 在 stats.ox.ac.uk 的电子邮件经过验证
