Chen, Kun

15 publications

NeurIPS 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

NeurIPS 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

NeurIPS 2025 LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting Yi Xiao, Hang Fan, Kun Chen, Ye Cao, Ben Fei, Wei Xue, Lei Bai

ICLR 2025 PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen, Zhangwenlong, Xiaokang Yang, Wanli Ouyang, Lei Bai

CVPR 2025 Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution Siwei Tu, Ben Fei, Weidong Yang, Fenghua Ling, Hao Chen, Zili Liu, Kun Chen, Hang Fan, Wanli Ouyang, Lei Bai

NeurIPS 2025 Self-Supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction Tengfei Ma, Kun Chen, Yongsheng Zang, Yujie Chen, Xuanbai Ren, Bosheng Song, Hongxin Xiang, Yiping Liu, Xiangxiang Zeng

ICLR 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology Yi Xiao, Qilong Jia, Kun Chen, Lei Bai, Wei Xue

TMLR 2024 A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He

NeurIPS 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai

ICML 2024 Towards a Self-Contained Data-Driven Global Weather Forecasting Framework Yi Xiao, Lei Bai, Wei Xue, Hao Chen, Kun Chen, Kang Chen, Tao Han, Wanli Ouyang

JMLR 2022 Fast Stagewise Sparse Factor Regression Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng

ICML 2022 On Non-Local Convergence Analysis of Deep Linear Networks Kun Chen, Dachao Lin, Zhihua Zhang

ICML 2021 Communication-Efficient Distributed SVD via Local Power Iterations Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang

IJCAI 2018 Beyond the Click-Through Rate: Web Link Selection with Multi-Level Feedback Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui

NeurIPS 2018 Boosted Sparse and Low-Rank Tensor Regression Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang