Kenghong Lin

According to our database, Kenghong Lin authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain.

Baoquan Zhang, Zhehao Yu, Lisai Zhang, Kenghong Lin, Tianran Chen, Yuxi Sun, Yunming Ye, Yao He

CoRR, May, 2026

Advection-diffusion spatiotemporal recurrent network for regional wind speed prediction.

Shidong Chen, Baoquan Zhang, Dong Liu, Xutao Li, Yunming Ye, Kenghong Lin, Rui Ye

Pattern Recognit., 2026

From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting.

Xinyu Zhang, Shanshan Feng, Xutao Li, Kenghong Lin, Fan Li, Pengfei Jia

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting.

Pengfei Jia, Jianghong Ma, Baoquan Zhang, Kenghong Lin, Xinyu Zhang, Chuyao Luo, Xutao Li, Yunming Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PiMMNet: Introducing Multi-Modal Precipitation Nowcasting via a Physics-informed Perspective.

Demin Yu, Wenchuan Du, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Xunlai Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Perceptually Constrained Precipitation Nowcasting Model.

Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu, Yunming Ye, Yaowei Wang

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

AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting.

Kenghong Lin, Baoquan Zhang, Demin Yu, Wenzhi Feng, Shidong Chen, Feifan Gao, Xutao Li, Yunming Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Integrating Multi-Source Data for Long Sequence Precipitation Forecasting.

Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting.

Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Spherical Neural Operator Network for Global Weather Prediction.

Kenghong Lin, Xutao Li, Yunming Ye, Shanshan Feng, Baoquan Zhang, Guangning Xu, Ziye Wang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave.

Ziye Wang, Xutao Li, Kenghong Lin, Chuyao Luo, Yunming Ye, Xiuqing Hu

IEEE Trans. Geosci. Remote. Sens., 2024

Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction.

Shidong Chen, Baoquan Zhang, Xutao Li, Yunming Ye, Kenghong Lin

Neural Networks, 2024

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting.

Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Xiaochen Qi, Guangming Ye

CoRR, 2024

2022

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction.

Guangning Xu, Kenghong Lin, Xutao Li, Yunming Ye

Pattern Recognit. Lett., 2022

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, Zhihua Tu, Kenghong Lin, Zhichao Huang

Neural Networks, 2022