Meilan Hao
Orcid: 0000-0002-5265-4992
According to our database1,
Meilan Hao authored at least 20 papers
between 2023 and 2026.
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Bibliography
2026
PDR-FSCIL: prompt decoupling regularization with an optimized classifier for few-shot class-incremental learning.
J. Supercomput., April, 2026
MCIFSS:Mask-guided modality collaboration with global-local discriminative synergy for incremental few-shot semantic segmentation.
Expert Syst. Appl., 2026
Autoencoder: An efficient inverse design method for gallium nitride high electron mobility transistor structures.
Eng. Appl. Artif. Intell., 2026
2025
Mathematical expression exploration with graph representation and generative graph neural network.
Neural Networks, 2025
A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier.
Neural Networks, 2025
Knowl. Based Syst., 2025
Inf. Fusion, 2025
Expert Syst. Appl., 2025
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Inf. Fusion, 2024
Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations.
CoRR, 2024
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning.
CoRR, 2024
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression.
CoRR, 2024
CoRR, 2024
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure.
CoRR, 2024
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Neurocomputing, 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations.
CoRR, 2023