Jianhui Chen

发表

Large-scale sparse logistic regression

Jieping Ye, Jianhui Chen, Jun Liu, 2009, KDD.

Clustered Multi-Task Learning Via Alternating Structure Optimization

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, NIPS.

Learning subspace kernels for classification

Jieping Ye, Jianhui Chen, Qi Li, 2008, KDD.

Sparse trace norm regularization

Jieping Ye, Jianhui Chen, 2013, Computational Statistics.

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

Ji Liu, Jieping Ye, Jianhui Chen, 2010, TKDD.

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction

Jieping Ye, Jianhui Chen, Qi Li, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Convex Factorization Machine for Toxicogenomics Prediction

Jianhui Chen, Samuel Kaski, Makoto Yamada, 2017, KDD.

Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA

Jieping Ye, Jianhui Chen, Sudhir Kumar, 2008, TKDD.

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, KDD '07.

Multi-class Discriminant Kernel Learning via Convex Programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2008, J. Mach. Learn. Res..

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation

Philip S. Yu, Jiawei Han, Jianhui Chen, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010, TKDD.

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Integrating low-rank and group-sparse structures for robust multi-task learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, KDD.

Learning incoherent sparse and low-rank patterns from multiple tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010 .

Sparse trace norm regularization

Jieping Ye, Jianhui Chen, Jieping Ye, 2012, Comput. Stat..

Ranking Relevance in Yahoo Search

Hongbo Deng, Jianhui Chen, Hua Ouyang, 2016, KDD.

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation

Jianhui Chen, Hua Ouyang, Yi Chang, 2017, AAAI.

Link Prediction with Cardinality Constraint

Philip S. Yu, Jianhui Chen, Yi Chang, 2017, WSDM.

Exploiting Task-Feature Co-Clusters in Multi-Task Learning

Enhong Chen, Jianhui Chen, Linli Xu, 2015, AAAI.

Low-Rank and Sparse Multi-task Learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Training SVM with indefinite kernels

Jieping Ye, Jianhui Chen, Jieping Ye, 2008, ICML '08.

Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections

Tianbao Yang, Jianhui Chen, Yi Chang, 2013, UAI.

Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs

Tianbao Yang, Shenghuo Zhu, Jianhui Chen, 2014, AISTATS.

Discriminant kernel and regularization parameter learning via semidefinite programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, ICML '07.

BDIOCTL: Obligations and the Specification of Agent Behavior

Jieping Ye, Jianhui Chen, Lei Tang, 2009, IJCAI.

A Framework of Online Learning with Imbalanced Streaming Data

Yi Yang, Tianbao Yang, Jianhui Chen, 2017, AAAI.

A convex formulation for learning shared structures from multiple tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2009, ICML '09.

Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes

Hongbo Deng, Jianhui Chen, Yi Chang, 2017, WSDM.

Learning the Optimal Neighborhood Kernel for Classification

Jieping Ye, Jianhui Chen, Jun Liu, 2009, IJCAI.