Meilan Hao

According to our database, Meilan Hao authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mathematical expression exploration with graph representation and generative graph neural network.

Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Wenqiang Li, Yanjie Li, Meilan Hao

Neural Networks, 2025

A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier.

Meilan Hao, Yizhan Gu, Kejian Dong, Prayag Tiwari, Xiaoqing Lv, Xin Ning

Neural Networks, 2025

CaMo: Capturing the modularity by end-to-end models for Symbolic Regression.

Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Wenqiang Li, Yanjie Li, Meilan Hao, Yusong Deng, Shu Wei

Knowl. Based Syst., 2025

MMSR: Symbolic regression is a multi-modal information fusion task.

Yanjie Li, Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Xin Ning, Wenqiang Li, Meilan Hao, Yusong Deng, Shu Wei

Inf. Fusion, 2025

Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao

Expert Syst. Appl., 2025

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Shu Wei, Yusong Deng, Meilan Hao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Coarse to fine-based image-point cloud fusion network for 3D object detection.

Meilan Hao, Zhongkang Zhang, Lei Li, Kejian Dong, Long Cheng, Prayag Tiwari, Xin Ning

Inf. Fusion, 2024

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

Jingyi Liu, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Wenqiang Li, Meilan Hao, Yusong Deng, Shu Wei

CoRR, 2024

Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations.

Shu Wei, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Meilan Hao, Wenqiang Li, Jingyi Liu, Yusong Deng

CoRR, 2024

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng

CoRR, 2024

MMSR: Symbolic Regression is a Multimodal Task.

Yanjie Li, Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng

CoRR, 2024

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

Min Wu, Weijun Li, Lina Yu, Wenqiang Li, Jingyi Liu, Yanjie Li, Meilan Hao

CoRR, 2024

Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng

CoRR, 2024

A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao

CoRR, 2024

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data.

Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Yusong Deng, Meilan Hao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

3D human pose and shape estimation via de-occlusion multi-task learning.

Hang Ran, Xin Ning, Weijun Li, Meilan Hao, Prayag Tiwari

Neurocomputing, 2023

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

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng

CoRR, 2023