52 citations · 54 across the 2 of their papers we have counts for
4 papers
Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li +2
Multi-task learning is a powerful method for solving multiple correlated tasks simultaneously. However, it is often impossible to find one single solution to optimize all the tasks…
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
Xi Lin, Hui-Ling Zhen, Zhenhua Li +2
The surrogate-assisted optimization algorithm is a promising approach for solving expensive multi-objective optimization problems. However, most existing surrogate-assisted multi-o…
Nonlinear Collaborative Scheme for Deep Neural Networks
Hui-Ling Zhen, Xi Lin, Alan Z. Tang +3
Conventional research attributes the improvements of generalization ability of deep neural networks either to powerful optimizers or the new network design. Different from them, in…
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation
Zhenhua Li, Qingfu Zhang
In this paper, we propose an efficient approximated rank one update for covariance matrix adaptation evolution strategy (CMA-ES). It makes use of two evolution paths as simple as t…