16 citations · 24 across the 4 of their papers we have counts for
4 papers
A Large-Scale Sparse Multiobjective Optimization Algorithm Based on Optimal Performance Scores
Jia-Lin Mai, Min-Rong Chen, Guo-Qiang Zeng +2
Large-scale sparse multiobjective optimization problems (LSSMOPs) involve a large number of decision variables and Pareto optimal solutions with only a few nonzero variables. Howev…
A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
Jia-Cheng Li, Min-Rong Chen, Guo-Qiang Zeng +3
Large-scale multi-objective optimization poses challenges to existing evolutionary algorithms in maintaining the performances of convergence and diversity because of high dimension…
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Hongwei Huang, Weiqi Luo, Guoqiang Zeng +3
Deep Learning (DL) techniques allow ones to train models from a dataset to solve tasks. DL has attracted much interest given its fancy performance and potential market value, while…
A Hybrid and Universal Blind Quantum Computation
Xiaoqian Zhang, Weiqi Luo, Guoqiang Zeng +4
In blind quantum computation (BQC), a client delegates her quantum computation to a server with universal quantum computers who learns nothing about the client's private informatio…