Fanbin Mo

According to our database, Fanbin Mo authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification.

Xun Zhu, Fanbin Mo, Xi Chen, Kaili Zheng, Shaoshuai Yang, Yiming Shi, Jian Gao, Miao Li, Ji Wu

CoRR, April, 2026

2025

SirP: Semi-Recurrent Paradigm-Based Prediction Network for Satellite Image Sequences.

Kaixin Chen, Mengqiu Xu, Weiqing Li, Fanbin Mo, Yixiang Huang, Ming Wu, Chuang Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data.

Xun Zhu, Fanbin Mo, Zheng Zhang, Jiaxi Wang, Yiming Shi, Ming Wu, Chuang Zhang, Miao Li, Ji Wu

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

2024

VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting.

Yutong Xiong, Xun Zhu, Ming Wu, Weiqing Li, Fanbin Mo, Chuang Zhang, Bin Zhang

CoRR, 2024

Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE.

Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MMSISP: A Satellite Image Sequence Prediction Network with Multi-factor Decoupling and Multi-modal Fusion.

Fanbin Mo, Yixiang Huang, Ming Wu, Xun Zhu, Chuang Zhang

Proceedings of the Pattern Recognition - 27th International Conference, 2024