Meilan Hao

Orcid: 0000-0002-5265-4992

According to our database1, Meilan Hao authored at least 20 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

CaMo: Capturing the modularity by end-to-end models for Symbolic Regression.
Knowl. Based Syst., 2025

MMSR: Symbolic regression is a multi-modal information fusion task.
Inf. Fusion, 2025

Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search.
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
Coarse to fine-based image-point cloud fusion network for 3D object detection.
Inf. Fusion, 2024

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning.
CoRR, 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

MMSR: Symbolic Regression is a Multimodal Task.
CoRR, 2024

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression.
CoRR, 2024

Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search.
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
3D human pose and shape estimation via de-occlusion multi-task learning.
Neurocomputing, 2023

MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations.
CoRR, 2023


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