Chunlin He

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

Adaptive Multiparticle Swarm Neural Architecture Search for High-Incidence Cancer Prediction.

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IEEE Trans. Artif. Intell., August, 2025

Deep Disease Label-guided Graph Convolutional Network for Medical Report Generation.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2025

Evolutionary architecture search for generative adversarial networks using an aging mechanism-based strategy.

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[DOI]

Wenxing Man

Liming Xu

Chunlin He

Neural Networks, 2025

DTI-MPFM: A multi-perspective fusion model for predicting potential drug-target interactions.

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[DOI]

Expert Syst. Appl., 2025

Training-free multi-scale neural architecture search for high-incidence cancer prediction.

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Eng. Appl. Artif. Intell., 2025

State estimation of Lithium-ion Batteries with state space model.

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Eng. Appl. Artif. Intell., 2025

A Network-Assisted Evolutionary Multitask Framework for Multi-objective Optimization Problems with Unknown Constraints.

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Approximated Expectation Propagation Assisted Decentralized Signal Detection for Uplink Massive MIMO-OTFS Systems.

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[DOI]

IEEE Trans. Veh. Technol., July, 2024

Deep Learning-Based Hybrid Precoding for RIS-Aided Broadband Terahertz Communication Systems in the Face of Beam Squint.

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[DOI]

IEEE Wirel. Commun. Lett., February, 2024

Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges.

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[DOI]

Swarm Evol. Comput., 2024

CPM: Knowledge Graph Tensor Factorisation Model for Discovering Drug Targets.

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[DOI]

Proceedings of the 17th International Congress on Image and Signal Processing, 2024

A Multi-Task Optimization-based Heterogeneous Expensive Multi-Objective Evolutionary Algorithm.

[BibT_eX]

[DOI]

Chunlin He

Yong Zhang

Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

2023

Transound: Hyper-head attention transformer for birds sound recognition.

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[DOI]

Ecol. Informatics, July, 2023

MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation.

[BibT_eX]

[DOI]

Minzhi Chen

Chunlin He

Xin Luo

IEEE Trans. Big Data, June, 2023

Anomaly Detection of GAN Industrial Image Based on Attention Feature Fusion.

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[DOI]

Sensors, 2023

A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness.

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[DOI]

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

A Double-Norm Aggregated Latent Factorization of Tensors Model for Temporal-Aware QoS Prediction.

[BibT_eX]

[DOI]

Juan Wang

Hao Wu

Chunlin He

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Study of Chinese Medicine Entity Recognition Method by Fusing Multi-Features and Pointer Networks.

[BibT_eX]

[DOI]

Zihao Lv

Chunlin He

Liming Xu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Construction and validation of a junior high school biology laboratory class teaching model based on desktop VR.

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[DOI]

Proceedings of the 9th International Conference on Education and Training Technologies, 2023

2022

Algorithms for Trajectory Points Clustering in Location-based Social Networks.

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[DOI]

ACM Trans. Intell. Syst. Technol., 2022

An Incremental Approach Based on Hierarchical Classification in Multikernel Fuzzy Rough Sets Under the Variation of Object Set.

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[DOI]

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

Research on the Improvement of Teachers' Computational Thinking Teaching Ability Based on STEM86 Platform.

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[DOI]

Proceedings of the IC4E 2022: 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo, Japan, January 14, 2022

2020

A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems.

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[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Elastic-net regularized latent factor analysis-based models for recommender systems.

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[DOI]

Neurocomputing, 2019

Routing Selection With Reinforcement Learning for Energy Harvesting Multi-Hop CRN.

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[DOI]

IEEE Access, 2019

Momentum-incorporated Latent Factorization of Tensors for Extracting Temporal Patterns from QoS Data.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI.

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[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Calculating the normalized Laplacian spectrum and the number of spanning trees of linear pentagonal chains.

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[DOI]

J. Comput. Appl. Math., 2018

Latent source mining of fMRI data via deep belief network.

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Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Latent Factor Model Based on Elastic Network for Recommender Systems.

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[DOI]

Proceedings of the International Conference on Big Data Engineering and Technology, 2018

Chunlin He

Bibliography

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