Xuchu Jiang
Orcid: 0000-0002-6443-9990
According to our database1,
Xuchu Jiang authored at least 25 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Contrastive Learning-Based Deep Embedded Clustering and the TCN-DMAttention Model for Traffic Congestion Prediction.
IEEE Trans. Intell. Transp. Syst., January, 2026
Never judge a node by its neighbors: adaptive multi-perspective contrastive learning for heterogeneous graphs.
Inf. Sci., 2026
CHMA-Net : Contrastive triplet networks for heterogeneous graph representation learning with multiscale augmentation.
Expert Syst. Appl., 2026
Bidirectional mamba enhanced multimodal fusion framework for emotion recognition in conversations.
Eng. Appl. Artif. Intell., 2026
Eng. Appl. Artif. Intell., 2026
2025
CrossGFA: wind power prediction with a multi-scale cross-graph network via a Frequency-Enhanced Channel attention mechanism.
Appl. Intell., January, 2025
IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks.
Pattern Recognit., 2025
Refining graph representation: Hyperbolic cross-space diffusion for hierarchical structure preservation.
Knowl. Based Syst., 2025
Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop.
Inf. Sci., 2025
Multi-objective scheduling for surface mount technology workshop: automatic design of two-layer decomposition-based approach.
Int. J. Prod. Res., 2025
CTHNE: Contrastive triplet learning for heterogeneous information networks with enhanced model fusion.
Neurocomputing, 2025
Knowledge- and data-driven hybrid method for lot streaming scheduling in hybrid flowshop with dynamic order arrivals.
Comput. Oper. Res., 2025
Multi-objective Human-robot collaborative batch scheduling in distributed hybrid flowshop via automatic design of local search-reconstruction-feedback algorithm.
Comput. Ind. Eng., 2025
2024
ConUMIP: Continuous-time dynamic graph learning via uncertainty masked mix-up on representation space.
Knowl. Based Syst., 2024
Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., 2024
Automatic algorithm design of distributed hybrid flowshop scheduling with consistent sublots.
Complex Intell. Syst., 2024
A novel multi-task learning method for evaluating short-term voltage stability with incomplete PMU measurements.
Complex Intell. Syst., 2024
2023
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm.
Expert Syst. Appl., May, 2023
A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., February, 2023
Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model.
PeerJ Comput. Sci., 2023
2022
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model.
PeerJ Comput. Sci., 2022
2021
Research on the commonness and dissimilarity of group machine tools based on BP and SAE algorithms.
Comput. Ind. Eng., 2021
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021
2019
Estimation of mass matrix in machine tool's weak components research by using symbolic regression.
Comput. Ind. Eng., 2019
A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression.
Proceedings of the Fuzzy Systems and Data Mining V, 2019