Junchao Gong

According to our database, Junchao Gong authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization.

Kaiyi Xu, Junchao Gong, Wenlong Zhang, Ben Fei, Lei Bai, Wanli Ouyang

CoRR, October, 2025

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space.

Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, Wanghan Xu, Weidong Yang, Xiaokang Yang, Lei Bai

CoRR, October, 2025

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis.

Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai

CoRR, September, 2025

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts.

Xuming He, Zhiyuan You, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang, Lei Bai

CoRR, August, 2025

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences.

Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, Wanghan Xu, Li Yan, Pierre Gentine, Lei Bai

CoRR, May, 2025

Transforming Weather Data from Pixel to Latent Space.

Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen, Tao Han, Junchao Gong, Ran Tao, Pengfeng Xiao, Lei Bai, Wanli Ouyang

CoRR, March, 2025

WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning.

Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling.

Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen, Wenlong Zhang, Xiaokang Yang, Wanli Ouyang, Lei Bai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer.

Junchao Gong, Tao Han, Kang Chen, Lei Bai

CoRR, 2024

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting.

Tao Han, Song Guo, Fenghua Ling, Kang Chen, Junchao Gong, Jing-Jia Luo, Junxia Gu, Kan Dai, Wanli Ouyang, Lei Bai

CoRR, 2024

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling.

Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang

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

2023

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead.

Kang Chen, Tao Han, Junchao Gong, Lei Bai, Fenghua Ling, Jing-Jia Luo, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang

CoRR, 2023

2020

Throughput Maximization for UAV-Enabled Data Collection.

Junchao Gong, Xiaojun Zhu, Lijie Xu

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020