Zhu, Ji

20 publications

JMLR 2025 Latent Process Models for Functional Network Data Peter W. MacDonald, Elizaveta Levina, Ji Zhu

JMLR 2024 Variational Estimators of the Degree-Corrected Latent Block Model for Bipartite Networks Yunpeng Zhao, Ning Hao, Ji Zhu

JMLR 2023 Community Models for Networks Observed Through Edge Nominations Tianxi Li, Elizaveta Levina, Ji Zhu

JMLR 2023 Distributed Community Detection in Large Networks Sheng Zhang, Rui Song, Wenbin Lu, Ji Zhu

JMLR 2022 SODEN: A Scalable Continuous-Time Survival Model Through Ordinary Differential Equation Networks Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu

ICML 2020 A Flexible Latent Space Model for Multilayer Networks Xuefei Zhang, Songkai Xue, Ji Zhu

JMLR 2020 High-Dimensional Gaussian Graphical Models on Network-Linked Data Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu

NeurIPS 2019 A Flexible Generative Framework for Graph-Based Semi-Supervised Learning Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei

ECCV 2018 Online Multi-Object Tracking with Dual Matching Attention Networks Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang

CVPRW 2017 Deep Spatial-Temporal Fusion Network for Video-Based Person Re-Identification Lin Chen, Hua Yang, Ji Zhu, Qin Zhou, Shuang Wu, Zhiyong Gao

ICML 2007 Hybrid Huberized Support Vector Machines for Microarray Classification Li Wang, Ji Zhu, Hui Zou

COLT 2007 L1 Regularization in Infinite Dimensional Feature Spaces Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu

NeurIPS 2005 Computing the Solution Path for the Regularized Support Vector Regression Lacey Gunter, Ji Zhu

NeurIPS 2004 A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning Saharon Rosset, Ji Zhu, Hui Zou, Trevor J. Hastie

JMLR 2004 Boosting as a Regularized Path to a Maximum Margin Classifier Saharon Rosset, Ji Zhu, Trevor Hastie

JMLR 2004 The Entire Regularization Path for the Support Vector Machine Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu

NeurIPS 2004 The Entire Regularization Path for the Support Vector Machine Saharon Rosset, Robert Tibshirani, Ji Zhu, Trevor J. Hastie

NeurIPS 2003 1-Norm Support Vector Machines Ji Zhu, Saharon Rosset, Robert Tibshirani, Trevor J. Hastie

NeurIPS 2003 Margin Maximizing Loss Functions Saharon Rosset, Ji Zhu, Trevor J. Hastie

NeurIPS 2001 Kernel Logistic Regression and the Import Vector Machine Ji Zhu, Trevor Hastie