Huakun Luo

According to our database, Huakun Luo authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

ERS-DETR: a lightweight real-time transformer for remote sensing small target detection with enhanced feature fusion and dual-frequency encoding.

Zongmin Liu, Yuqi Wang, Youlin Chen, Xi Li, Huakun Luo, Jianhui Zhan, Hong Zhao

J. Supercomput., March, 2026

Thoth: Mid-Training Bridges LLMs to Time Series Understanding.

Jiafeng Lin, Yuxuan Wang, Jialong Wu, Huakun Luo, Zhongyi Pei, Jianmin Wang

CoRR, March, 2026

TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts.

Jiafeng Lin, Yuxuan Wang, Huakun Luo, Zhongyi Pei, Jianmin Wang

CoRR, February, 2026

BCGW-YOLO: A lightweight network for road damage detection using enhanced feature fusion and dynamically adjusted gradient loss.

Youlin Chen, Yuqi Wang, Huakun Luo, Xi Li, Jianhui Zhan, Weichao Chen

Digit. Signal Process., 2026

2025

EBC-YOLO: a remote sensing target recognition model adapted for complex environments.

Huakun Luo, Yuqi Wang, Youlin Chen, Xi Li, Jianhui Zhan, Deng Zuo

Earth Sci. Informatics, March, 2025

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries.

Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

RoPINN: Region Optimized Physics-Informed Neural Networks.

Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long

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

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Solving High-Dimensional PDEs with Latent Spectral Models.

Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long

Proceedings of the International Conference on Machine Learning, 2023