Xin Du
Orcid: 0000-0003-3485-2175Affiliations:
- Fujian Normal University, Fuzhou, China
According to our database1,
Xin Du
authored at least 33 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Tsoa: a two-stage optimization approach for GCC compilation options to minimize execution time.
Autom. Softw. Eng., November, 2024
Evolutionary optimization approach based on heuristic information with pseudo-utility for the quadratic assignment problem.
Swarm Evol. Comput., 2024
Swarm Evol. Comput., 2024
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals.
CoRR, 2024
2023
A novel binary multi-swarms fruit fly optimisation algorithm for the 0-1 multidimensional knapsack problem.
Int. J. Bio Inspired Comput., 2023
2022
Efficient Gaussian Kernel Microcluster Real-Time Clustering Method for Industrial Internet of Things (IIoT) Streams.
IEEE Internet Things J., 2022
2021
Multi-objective software performance optimisation at the architecture level using randomised search rules.
Inf. Softw. Technol., 2021
A Multi-Objective Differential Evolutionary Optimization Method for Performance Optimization of Cloud Application.
Int. J. Cogn. Informatics Nat. Intell., 2021
Toward more efficient locality-sensitive hashing via constructing novel hash function cluster.
Concurr. Comput. Pract. Exp., 2021
Proceedings of the Exploration of Novel Intelligent Optimization Algorithms, 2021
2020
GLDH: Toward more efficient global low-density locality-sensitive hashing for high dimensions.
Inf. Sci., 2020
Toward an Effective Locality-Sensitive Hashing Search for WMSNs Based on the Neighborhood Rough Set Approach.
IEEE Internet Things J., 2020
An Algorithm for Multi-objective Software Performance Optimisation at the Architecture Level.
Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020
2019
Frequent pattern mining assisted energy consumption evolutionary optimization approach based on surrogate model at GCC compile time.
Swarm Evol. Comput., 2019
Knowl. Based Syst., 2019
FJLT-FLSH: More Efficient Fly Locality-Sensitive Hashing Algorithm via FJLT for WMSN IoT Search.
IEEE Internet Things J., 2019
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019
2018
OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain.
EURASIP J. Wirel. Commun. Netw., 2018
Constructing A Novel Spark-based Distributed Maximum Frequent Sequence Pattern Mining for IoT Log.
Proceedings of the 8th International Conference on Communication and Network Security, 2018
2017
基于随机搜索规则的软件体系结构层性能演化优化方法 (Random Search Rule Based Performance Evolutionary Optimization Method at Software Architecture Level).
计算机科学, 2017
Surrogate Model Assisted Multi-objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
2016
Int. J. Wirel. Mob. Comput., 2016
2015
Soft Comput., 2015
基于规则的软件体系结构层性能优化模型 (Rule-based Performance Optimization Model at Software Architecture Level).
计算机科学, 2015
SRSP-PMF: A Novel Probabilistic Matrix Factorization Recommendation Algorithm Using Social Reliable Similarity Propagation.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
A Multi-objective Evolutionary Algorithm for Rule-based Performance Optimization at Software Architecture Level.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
An evolutionary algorithm for performance optimization at software architecture level.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
J. Low Power Electron., 2014
Proceedings of the International Conference on Cloud Computing and Big Data, 2014
2013
Int. J. Comput. Appl. Technol., 2013
An Iimproved GEP-Cluster Algorithm.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
2012
Multi-modulus blind equalization algorithm based on high-order QAM genetic optimization.
Proceedings of the Eighth International Conference on Natural Computation, 2012