Ji Zhu

26 papers Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Interpretable Network-assisted Random Forest+.
CoRR
Tiffany M. Tang, Elizaveta Levina, Ji Zhu
2025 J jnl
Latent Process Models for Functional Network Data.
J. Mach. Learn. Res.
Peter W. MacDonald, Elizaveta Levina, Ji Zhu
2025 J jnl
Latent space models for grouped multiplex networks.
CoRR
Alexander Kagan, Peter W. MacDonald, Elizaveta Levina, Ji Zhu
2024 J jnl
General linear threshold models with application to influence maximization.
CoRR
Alexander Kagan, Elizaveta Levina, Ji Zhu
2024 J jnl
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks.
J. Mach. Learn. Res.
Yunpeng Zhao, Ning Hao, Ji Zhu
2023 J jnl
Community models for networks observed through edge nominations.
J. Mach. Learn. Res.
Tianxi Li, Elizaveta Levina, Ji Zhu
2023 J jnl
Fair Information Spread on Social Networks with Community Structure.
CoRR
Octavio Mesner, Elizaveta Levina, Ji Zhu
2023 J jnl
Link Prediction for Egocentrically Sampled Networks.
J. Comput. Graph. Stat.
Tianxi Li, Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
2022 J jnl
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks.
CoRR
Yunpeng Zhao, Ning Hao, Ji Zhu
2020 J jnl
Detecting Overlapping Communities in Networks Using Spectral Methods.
SIAM J. Math. Data Sci.
Yuan Zhang, Elizaveta Levina, Ji Zhu
2020 J jnl
High-dimensional Gaussian graphical models on network-linked data.
J. Mach. Learn. Res.
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
2019 J jnl
High-dimensional Gaussian graphical model for network-linked data.
CoRR
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
2018 J jnl
Link prediction for egocentrically sampled networks.
CoRR
Yun-Jhong Wu, Elizaveta Levina, Ji Zhu
2015 J jnl
Community Detection in Networks with Node Features.
CoRR
Yuan Zhang, Elizaveta Levina, Ji Zhu
2013 J jnl
Link prediction for partially observed networks
CoRR
Yunpeng Zhao, Elizaveta Levina, Ji Zhu
2012 J jnl
Sparse Ising Models with Covariates
CoRR
Jie Cheng, Elizaveta Levina, Pei Wang, Ji Zhu
2011 J jnl
On Consistency of Community Detection in Networks
CoRR
Yunpeng Zhao, Elizaveta Levina, Ji Zhu
2004 — conf
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning.
NIPS
Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
2004 J jnl
Boosting as a Regularized Path to a Maximum Margin Classifier.
J. Mach. Learn. Res.
Saharon Rosset, Ji Zhu, Trevor Hastie
2004 — conf
The Entire Regularization Path for the Support Vector Machine.
NIPS
Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
2004 J jnl
The Entire Regularization Path for the Support Vector Machine.
J. Mach. Learn. Res.
Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
2003 — conf
1-norm Support Vector Machines.
NIPS
Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
2003 — conf
Boosting and support vector machines as optimal separators.
DRR
Saharon Rosset, Ji Zhu, Trevor Hastie
2003 — conf
Margin Maximizing Loss Functions.
NIPS
Saharon Rosset, Ji Zhu, Trevor Hastie
2002 — conf
Support Vector Machines, Kernel Logistic Regression and Boosting.
Multiple Classifier Systems
Ji Zhu, Trevor Hastie
2001 — conf
Kernel Logistic Regression and the Import Vector Machine.
NIPS
Ji Zhu, Trevor Hastie