Yan Kang

Orcid: 0000-0001-6969-0562

Affiliations:
  • Yunnan University, Department of Software Engineering, Kunming, China


According to our database1, Yan Kang authored at least 32 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
A novel multi-view contrastive learning for herb recommendation.
Appl. Intell., November, 2024

MGMFN: Multi-graph and MLP-mixer fusion network for Chinese social network sentiment classification.
Multim. Tools Appl., July, 2024

MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting.
IEEE Trans. Cybern., March, 2024

A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data.
IEEE Trans. Consumer Electron., February, 2024

A hybrid style transfer with whale optimization algorithm model for textual adversarial attack.
Neural Comput. Appl., 2024

Inter-structure and intra-semantics graph contrastive learning for disease prediction.
Knowl. Based Syst., 2024

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation.
Expert Syst. Appl., 2024

UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style.
CoRR, 2024

2023
BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction.
Comput. Biol. Medicine, December, 2023

MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering.
Expert Syst. Appl., September, 2023

Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems.
Neural Comput. Appl., June, 2023

TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems.
Neural Comput. Appl., June, 2023

STGHTN: Spatial-temporal gated hybrid transformer network for traffic flow forecasting.
Appl. Intell., May, 2023

HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.
Briefings Bioinform., January, 2023

A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system.
World Wide Web, 2022

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.
Neural Networks, 2022

MDAFF-Net: A Multi-scale Dual-attention Feature Fusion Model for Long-term Traffic Prediction.
Proceedings of the IEEE Smartworld, 2022

2021
GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays.
Pattern Recognit., 2021

ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation.
Knowl. Based Syst., 2021

ST-IFC: efficient spatial-temporal inception fully connected network for citywide crowd flow prediction.
Int. J. Sens. Networks, 2021

2020
融合自注意力机制和多路金字塔卷积的软件需求聚类算法 (Software Requirements Clustering Algorithm Based on Self-attention Mechanism and Multi- channel Pyramid Convolution).
计算机科学, 2020

Deep Spatio-Temporal Modified-Inception with Dilated Convolution Networks for Citywide Crowd Flows Prediction.
Int. J. Pattern Recognit. Artif. Intell., 2020

A Novel Mutual Fractional Grey Bernoulli Model With Differential Evolution Algorithm and Its Application in Education Investment Forecasting in China.
IEEE Access, 2020

A Fusion of Java Domain Knowledge Base and Siamese Network for Java API Recommendation.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Fuzzy Multi-objective Requirements for NRP Based on Particle Swarm Optimization.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019
Research on massive ECG data in XGBoost.
J. Intell. Fuzzy Syst., 2019

A transfer learning algorithm for automatic requirement model generation.
J. Intell. Fuzzy Syst., 2019

Generative Adversarial Network-Based Regional Epitaxial Traffic Flow Prediction.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Urban Traffic Flow Forecast Based on ST-SEResNet.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2016
A Job Shop Scheduling Algorithm Using Big Bang-Big Crunch Strategy.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016


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