Face hallucination based on neighbor embedding via illumination adaptation. - Sijie Song; Yanghao Li; Zhihan Gao 001; Jiaying Liu 001 (APSIPA, 2015)

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model. - Xingjian Shi; Zhihan Gao 001; Leonard Lausen; Hao Wang 014; Dit-Yan Yeung; Wai-Kin Wong; Wang-chun Woo (NIPS, 2017)

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. - Ting Sun 001; Lei Tai; Zhihan Gao 001; Ming Liu 001; Dit-Yan Yeung (CoRR, 2019)

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. - Zhihan Gao 001; Xingjian Shi; Hao Wang 014; Yi Zhu 001; Yuyang Wang 001; Mu Li 003; Dit-Yan Yeung (NeurIPS, 2022)

PreDiff: Precipitation Nowcasting with Latent Diffusion Models. - Zhihan Gao 001; Xingjian Shi; Boran Han; Hao Wang 014; Xiaoyong Jin; Danielle C. Maddix; Yi Zhu 001; Mu Li 003; Yuyang Wang 001 (NeurIPS, 2023)

Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. - Vitus Benson; Christian Requena-Mesa; Claire Robin; Lázaro Alonso; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CoRR, 2023)

Multi-Modal Learning for Geospatial Vegetation Forecasting. - Vitus Benson; Claire Robin; Christian Requena-Mesa; Lázaro Alonso; Nuno Carvalhais; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CVPR, 2024)