Qinghua Ling

28 papers Misc 1Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolutionary multi-task feature selection in high-dimensional spaces via feature association graph.
Neurocomputing
Xuelei Zhao, Fei Han, Qinghua Ling, Qing Liu, Henry Han
2026 J jnl
Feature enrichment imitative reinforcement learning for high-frequency trading.
Expert Syst. Appl.
Fei Han, Qinghua Ling, Sheng Lu, Henry Han
2025 J jnl
A Survey on Class Imbalance Learning Algorithms in Complex Scenarios.
IEEE Access
Lingyun Zhao, Fei Han, Qinghua Ling, Henry Han, Zhu Yao, Wenhao Liu, Zihao Zhou
2025 J jnl
A denoising majority weighted minority oversampling technique for imbalanced classification.
Expert Syst. Appl.
Fei Han, Chuanzhen Wang, Qinghua Ling, Henry Han
2025 J jnl
A multi-objective evolutionary algorithm based on a grid with adaptive divisions for multi-objective optimization with irregular Pareto fronts.
Appl. Soft Comput.
Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang, Qing Liu
2025 J jnl
An Improved Conditional Wasserstein GAN With Gradient Penalty for Gene Expression Profiling Data Augmentation Based on Data Segmentation and Depth Feature Constraint.
IEEE Trans. Comput. Biol. Bioinform.
Fei Han, Yutao Liang, Qinghua Ling, Henry Han
2025 Misc conf
Causal fMRI-Mamba: Causal State Space Model for Neural Decoding and Brain Task States Recognition.
ICASSP
Weihao Deng, Fei Han, Qinghua Ling, Qing Liu, Henry Han
2025 J jnl
Constraint-Pareto Dominance and Diversity Enhancement Strategy-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang
2025 J jnl
Contribution-based imbalanced hybrid resampling ensemble.
Pattern Recognit.
Lingyun Zhao, Fei Han, Qinghua Ling, Yubin Ge, Yuze Zhang, Qing Liu, Henry Han
2025 J jnl
Dual-level semantic alignment for video moment retrieval and highlight detection.
Multim. Syst.
Haifeng Zhao, Qinghua Ling, Wenhai Qin, Leilei Ma, Dengdi Sun
2025 J jnl
Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization.
Complex Intell. Syst.
Xiang Bao, Fei Han, Qinghua Ling
2025 J jnl
Evolutionary extreme learning machine based on an improved MOPSO algorithm.
Neural Comput. Appl.
Qinghua Ling, Kaimin Tan, Yuyan Wang, Zexu Li, Wenkai Liu
2025 J jnl
Feature selection based on multimodal multi-objective particle swarm optimization and prior information.
Pattern Anal. Appl.
Wenkai Liu, Qinghua Ling, Fei Han, Henry Han, Jinlong Shi
2025 J jnl
Feature selection using importance-based two-stage multi-modal multiobjective particle swarm optimization.
Clust. Comput.
Qinghua Ling, Wenkai Liu, Fei Han, Jinlong Shi, Ali Aweis Hussein, Ben Sanvee Sayway
2025 J jnl
Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization.
PeerJ Comput. Sci.
Sumet Mehta, Fei Han, Muhammad Sohail, Bhekisipho Twala, Asad Ullah, Fasee Ullah, Arfat Ahmad Khan, Qinghua Ling
2025 J jnl
MORPSO_ECD+ELM: A Unified Framework for Gene Selection and Cancer Classification.
IEEE J. Biomed. Health Informatics
Sumet Mehta, Fei Han, Qinghua Ling, Muhammad Sohail, Arfan Ali Nagra
2025 J jnl
Multi-objective particle swarm optimization based on particle contribution and mutual information for feature selection method.
J. Supercomput.
Qinghua Ling, Zexu Li, Wenkai Liu, Jinlong Shi, Fei Han
2024 J jnl
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO.
Neural Process. Lett.
Fei Han, Fanyu Li, Qinghua Ling, Henry Han, Tianyi Lu, Zijian Jiao, Haonan Zhang
2024 J jnl
A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems.
Soft Comput.
Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang
2023 J jnl
A many-objective optimization evolutionary algorithm based on hyper-dominance degree.
Swarm Evol. Comput.
Zhe Liu, Fei Han, Qinghua Ling, Henry Han, Jing Jiang
2023 J jnl
An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information.
Appl. Intell.
Fei Han, Tianyi Wang, Qinghua Ling
2022 J jnl
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network.
Connect. Sci.
Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo
2022 J jnl
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems.
Swarm Evol. Comput.
Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Yue Wang
2022 J jnl
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism.
Appl. Intell.
Fei Han, Mingpeng Zheng, Qinghua Ling
2022 J jnl
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP.
Neural Comput. Appl.
Fei Han, Shaojun Zhu, Qinghua Ling, Henry Han, Hailong Li, Xinli Guo, Jiechuan Cao
2021 J jnl
Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search.
Inf. Sci.
Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Zizhu Fan
2020 J jnl
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition.
Neural Networks
Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, Tiange Li, Henry Han
2018 — conf
An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization.
ICIC (2)
Qiuwei Li, Fei Han, Qinghua Ling