Dejun Chu

According to our database, Dejun Chu authored at least 7 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation.

Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Semismooth Newton Algorithm for Efficient Projections onto ℓ_{1, ∞}-norm Ball.

Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.

Qing Tao, Gao-wei Wu, Dejun Chu

IEEE Trans. Neural Networks Learn. Syst., 2018

Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm.

Dejun Chu, Rui Lu, Jin Li, Xintong Yu, Changshui Zhang, Qing Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

A faster cutting plane algorithm with accelerated line search for linear SVM.

Dejun Chu, Changshui Zhang, Qing Tao

Pattern Recognit., 2017

2012

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses.

Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2008

Recursive Support Vector Machines for Dimensionality Reduction.

Qing Tao, Dejun Chu, Jue Wang

IEEE Trans. Neural Networks, 2008