activity
20172023
most citedBenchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments

44 citations · 56 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NE2023★ 5 cited

EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

Mai Peng, Delaram Yazdani, Zeneng She +9

Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algo…

cs.NE2022

Evolutionary Multiparty Distance Minimization

Zeneng She, Wenjian Luo, Xin Lin +2

In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives. In the real-world applications, there usually exist more than one…

cs.CR2022

Defending Adversarial Examples by Negative Correlation Ensemble

Wenjian Luo, Hongwei Zhang, Linghao Kong +2

The security issues in DNNs, such as adversarial examples, have attracted much attention. Adversarial examples refer to the examples which are capable to induce the DNNs return com…

cs.CR2022

Privacy-Preserving Distributed Machine Learning Made Faster

Zoe L. Jiang, Jiajing Gu, Hongxiao Wang +5

With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning…

cs.SI2022

Spatial-Aware Local Community Detection Guided by Dominance Relation

Li Ni, Hefei Xu, Yiwen Zhang +1

The problem of finding the spatial-aware community for a given node has been defined and investigated in geo-social networks. However, existing studies suffer from two limitations:…

cs.NE2022★ 44 cited

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments

Wenjian Luo, Xin Lin, Changhe Li +2

Dynamic and multimodal features are two important properties and widely existed in many real-world optimization problems. The former illustrates that the objectives and/or constrai…

cs.CR2019★ 5 cited

Random Directional Attack for Fooling Deep Neural Networks

Wenjian Luo, Chenwang Wu, Nan Zhou +1

Deep neural networks (DNNs) have been widely used in many fields such as images processing, speech recognition; however, they are vulnerable to adversarial examples, and this is a…

cs.AI2019★ 1 cited

Community-based 3-SAT Formulas with a Predefined Solution

Yamin Hu, Wenjian Luo, Junteng Wang

It is crucial to generate crafted SAT formulas with predefined solutions for the testing and development of SAT solvers since many SAT formulas from real-world applications have so…

cs.ET2017

Design Methods for Polymorphic Combinational Logic Circuits based on the Bi_Decomposition Approach

Zhifang Li, Wenjian Luo, Lihua Yue +1

Polymorphic circuits are a special kind of digital logic components, which possess multiple build-in functions. In different environments, a polymorphic circuit would perform diffe…

cs.ET2017★ 1 cited

A Simplification Method of Polymorphic Boolean Functions

Wenjian Luo, Zhifang Li

Polymorphic circuits are a special kind of circuits which possess multiple build-in functions, and these functions are activated by environment parameters, like temperature, light…

cs.ET2017

A Straightforward Method to Judge the Completeness of a Polymorphic Gate Set

Zhifang Li, Wenjian Luo, Lihua Yue +1

Polymorphic circuits are a special kind of circuits which possess some different build-in functions and these functions are activated by environment parameters, like light and VDD.…