🤔 About me
I’m a third-year master student in Department of Electronic Engineering and Information Science at University of Science and Technology of China. 📕
Previously, I obtained a Bachelor of Engineering from Central China Normal University in Electronic Information Engineering.
I’m interested in Natural Language Processing, LLMs, Knowledge Graph, Operator Learning, and AI for Science. Also I have published several papers about AI4PDE and AI for Scientific Computing.
Currently, I’m working with Wenhan Gao for designing enhanced kernels for localized effects and interactions in FNO. Before that, I worked with Hong Wang and Huanshuo Dong for AI4PDE and AI for Scientific Computing, and worked with Hanzhu Chen for Knowledge Graph and LLMs.
If you are interested about my research topics, feel free to contact me through my email: jianluo(at)mail(dot)ustc(dot)edu(dot)com . đź“«
✨ News
September 2024: Paper “Neural Krylov Iteration for Accelerating Linear System Solving” accepted by NeurIPS as Spotlight.
May 2024: Paper “Accelerating PDE Data Generation via Differential Operator Action in Solution Space” accepted by ICML.
🎉 Publications
* indicates equal contributors.
Neural Krylov Iteration for Accelerating Linear System Solving (Spotlight)
Jian Luo, Jie Wang, Hong Wang, huanshuo dong, Zijie Geng, Hanzhu Chen, Yufei Kuang
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
Huanshuo Dong, Hong Wang, Haoyang Liu, Jian Luo, Jie Wang
Forty-First International Conference on Machine Learning (ICML), 2024
🍳 Preprints
- One paper on eigenfunction problems for high dimension PDEs; submitted to ICLR 25; H.Wang, Y.Jiang, J.Wang, X.Li, J.Luo, H.Dong
- One paper on designing enhanced kernels for localized effects and interactions in FNO; submitted to CVPR 25; W.Gao, J.Luo, Y.Liu