Xiangjuan Wu

Orcid: 0000-0001-8723-5299

According to our database1, Xiangjuan Wu authored at least 14 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A nature recoil mechanism-based Octopus optimization algorithm for solving the global and constraint optimization from engineering structural design problems.
J. Comput. Des. Eng., 2026

2025
Large-Scale Multi-Objective Optimization Algorithms: A Decade Survey.
Expert Syst. J. Knowl. Eng., 2025

Low-Rank Approximation CLIP to Improve Cross-Modal Consistency in Language-Guided Age Estimation.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Appearance Contrasts for Unconstrained Age Estimation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Conservation-Informed Neural Network for Human Motion Prediction.
Proceedings of the Biometric Recognition - 19th Chinese Conference, 2025

2024
A learning and potential area-mining evolutionary algorithm for large-scale multi-objective optimization.
Expert Syst. Appl., March, 2024

HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation.
IEEE Trans. Image Process., 2024

2022
A distributed storage MLCS algorithm with time efficient upper bound and precise lower bound.
Inf. Sci., 2022

A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization.
Connect. Sci., 2022

2021
A Reference Point Selection and Direction Guidance-Based Algorithm for Large-Scale Multi-Objective Optimization.
Int. J. Pattern Recognit. Artif. Intell., 2021

A new filled function method based on adaptive search direction and valley widening for global optimization.
Appl. Intell., 2021

2020
A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A New Hybrid Algorithm for Solving Large Scale Global Optimization Problems.
IEEE Access, 2019

A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm.
IEEE Access, 2019


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