Yu Zhu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Spectral Clustering

Top Venues

Publications

T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
An Impossibility Theorem for Node Embedding. AISTATS (2024)
Yu Zhu, Santiago Segarra
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. Frontiers Big Data 6 (2023)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR (2023)
Lechuan Li, Ruth Dannenfelser, Yu Zhu, Nathaniel Hejduk, Santiago Segarra, Vicky Yao
Joint embedding of biological networks for cross-species functional alignment. Bioinform. 39 (9) (2023)
Yu Zhu, Ananthram Swami, Santiago Segarra
Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yu Zhu, Santiago Segarra
Hypergraph Cuts with Edge-Dependent Vertex Weights. CoRR (2022)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF (2022)
Yu Zhu, Santiago Segarra
Hypergraph cuts with edge-dependent vertex weights. Appl. Netw. Sci. 7 (1) (2022)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP (2022)
Yu Zhu, Santiago Segarra
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering. CoRR (2022)
Yu Zhu, Ananthram Swami, Santiago Segarra
Node Embedding based on the Free Energy Distance. ACSCC (2021)
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
Signal processing on simplicial complexes. CoRR (2021)
Yu Zhu, Ananthram Swami, Santiago Segarra
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling. CoRR (2021)
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
An Impossibility Theorem for Node Embedding. CoRR (2021)
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
Signal processing on higher-order networks: Livin' on the edge... and beyond. Signal Process. 187 (2021)
Yu Zhu, Boning Li, Santiago Segarra
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR (2021)
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond. CoRR (2021)
Yu Zhu, Boning Li, Santiago Segarra
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO (2021)
Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. 68 (2020)
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
Network Inference From Consensus Dynamics With Unknown Parameters. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP (2019)
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
Network Inference from Consensus Dynamics with Unknown Parameters. CoRR (2019)