| 2026 | AAAI | BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction. | Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu |
| 2026 | ICCS | Aligning and Assimilating Multi-source Data for Flood Forecasting. | Kun Wang, Gabriele Bertoli, Sibo Cheng, Kai Schrter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci |
| 2025 | ICCV | GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation. | Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong |
| 2025 | ICLR | Learning Chaos In A Linear Way. | Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu |
| 2025 | ICML | Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation. | Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu |
| 2024 | ICASSP | ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. | Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci |
| 2024 | ICASSP | Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. | Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci |
| 2023 | ICCS | An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. | Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci |
| 2023 | ICCS | Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. | Jake Lever, Sibo Cheng, Rossella Arcucci |
| 2023 | MICCAI | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. | Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2022 | ICCS | Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. | Sibo Cheng, Csar Quilodrn Casas, Rossella Arcucci |