| Signal processing on higher-order networks: Livin’on the edge... and beyond MT Schaub, Y Zhu, JB Seby, TM Roddenberry, S Segarra Signal Processing 187, 108149, 2021 | 202 | 2021 |
| Network inference from consensus dynamics with unknown parameters Y Zhu, MT Schaub, A Jadbabaie, S Segarra IEEE Transactions on Signal and Information Processing over Networks 6, 300-315, 2020 | 40 | 2020 |
| Signal processing on simplicial complexes MT Schaub, JB Seby, F Frantzen, TM Roddenberry, Y Zhu, S Segarra Higher-Order Systems, 301-328, 2022 | 39 | 2022 |
| Estimating network processes via blind identification of multiple graph filters Y Zhu, FJI Garcia, AG Marques, S Segarra IEEE Transactions on Signal Processing 68, 3049-3063, 2020 | 24 | 2020 |
| Co-clustering vertices and hyperedges via spectral hypergraph partitioning Y Zhu, B Li, S Segarra 2021 29th European Signal Processing Conference (EUSIPCO), 1416-1420, 2021 | 21 | 2021 |
| Joint embedding of biological networks for cross-species functional alignment L Li, R Dannenfelser, Y Zhu, N Hejduk, S Segarra, V Yao Bioinformatics 39 (9), btad529, 2023 | 16 | 2023 |
| Hypergraph cuts with edge-dependent vertex weights Y Zhu, S Segarra Applied Network Science 7 (1), 45, 2022 | 10 | 2022 |
| A spatial hypergraph model where epidemic spread demonstrates clear higher-order effects O Eldaghar, Y Zhu, DF Gleich International Conference on Complex Networks and Their Applications, 43-55, 2024 | 7 | 2024 |
| Free energy node embedding via generalized skip-gram with negative sampling Y Zhu, A Swami, S Segarra IEEE Transactions on Knowledge and Data Engineering 35 (8), 8024-8036, 2022 | 7 | 2022 |
| HOSVD-based limited feedback and precoding design for massive MIMO systems Y Zhu, Y Tian, C Yang 2016 IEEE/CIC International Conference on Communications in China (ICCC …, 2016 | 7 | 2016 |
| Hypergraph 1-Spectral Clustering with General Submodular Weights Y Zhu, B Li, S Segarra 2022 56th Asilomar Conference on Signals, Systems, and Computers, 935-939, 2022 | 5 | 2022 |
| Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian Y Zhu, B Li, S Segarra ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering Y Zhu, S Segarra Frontiers in big Data 6, 2023 | 4 | 2023 |
| Estimation of network processes via blind graph multi-filter identification Y Zhu, FJ Iglesias, AG Marques, S Segarra ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
| A spatial hypergraph model to smoothly interpolate between pairwise graphs and hypergraphs to study higher-order structures O Eldaghar, Y Zhu, D Gleich PLOS Complex Systems 2 (9), e0000066, 2025 | 2 | 2025 |
| Constructing Segregation: Examining Social and Spatial Division in Road Networks E Roberto, Y Zhu, S Segarra, J Jalili | 1 | 2025 |
| Framework for de novo sequencing of peptide mixtures via network analysis and two-dimensional tandem mass spectrometry MPT Le, Y Zhu, ET Dziekonski, DT Holden, DF Gleich, RG Cooks Chemical Science 16 (39), 18243-18254, 2025 | 1 | 2025 |
| An Impossibility Theorem for Node Embedding TM Roddenberry, Y Zhu, S Segarra International Conference on Artificial Intelligence and Statistics, 2422-2430, 2024 | | 2024 |
| Learning on Inhomogeneous Hypergraphs Y Zhu Rice University, 2023 | | 2023 |
| Node Embedding based on the Free Energy Distance Y Zhu, A Swami, S Segarra 2021 55th Asilomar Conference on Signals, Systems, and Computers, 187-191, 2021 | | 2021 |
Santiago SegarraAssociate Professor, Electrical and Computer Engineering, Rice UniversityVerified email at rice.edu
