Solving High-Dimensional PDEs with Latent Spectral Models. - Haixu Wu; Tengge Hu; Huakun Luo; Jianmin Wang 001; Mingsheng Long (ICML, 2023)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. - Shiyu Wang 001; Haixu Wu; Xiaoming Shi 001; Tengge Hu; Huakun Luo; Lintao Ma; James Y. Zhang; Jun Zhou 011 (ICLR, 2024)

Transolver: A Fast Transformer Solver for PDEs on General Geometries. - Haixu Wu; Huakun Luo; Haowen Wang; Jianmin Wang 001; Mingsheng Long (ICML, 2024)

RoPINN: Region Optimized Physics-Informed Neural Networks. - Haixu Wu; Huakun Luo; Yuezhou Ma; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2024)

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries. - Huakun Luo; Haixu Wu; Hang Zhou; Lanxiang Xing; Yichen Di; Jianmin Wang 001; Mingsheng Long (CoRR, 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, 2025)