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Dejun Chu
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2020 – today
- 2023
- [c3]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. AAAI 2023: 7193-7201 - 2020
- [c2]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. ICML 2020: 1974-1983
2010 – 2019
- 2018
- [j4]Qing Tao
, Gao-wei Wu, Dejun Chu:
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2782-2793 (2018) - [j3]Dejun Chu
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6264-6275 (2018) - 2017
- [j2]Dejun Chu, Changshui Zhang, Qing Tao:
A faster cutting plane algorithm with accelerated line search for linear SVM. Pattern Recognit. 67: 127-138 (2017) - 2012
- [c1]Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu:
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses. ECML/PKDD (1) 2012: 537-552
2000 – 2009
- 2008
- [j1]Qing Tao, Dejun Chu, Jue Wang:
Recursive Support Vector Machines for Dimensionality Reduction. IEEE Trans. Neural Networks 19(1): 189-193 (2008)
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