Interpretable Minority Synthesis for Imbalanced Classification. - Yi He 007; Fudong Lin; Xu Yuan 001; Nian-Feng Tzeng (IJCAI, 2021)

Cascade Variational Auto-Encoder for Hierarchical Disentanglement. - Fudong Lin; Xu Yuan 001; Lu Peng 001; Nian-Feng Tzeng (CIKM, 2022)

MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. - Fudong Lin; Summer Crawford; Kaleb Guillot; Yihe Zhang 001; Yan Chen; Xu Yuan 001; Li Chen 019; Shelby Williams; Robert Minvielle; Xiangming Xiao; Drew Gholson; Nicolas Ashwell; et al. (ICCV, 2023)

Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. - Fudong Lin; Xu Yuan 001; Yihe Zhang 001; Purushottam Sigdel; Li Chen 019; Lu Peng 001; Nian-Feng Tzeng (ECML/PKDD (7), 2023)

Towards Robust Vision Transformer via Masked Adaptive Ensemble. - Fudong Lin; Jiadong Lou; Xu Yuan 001; Nian-Feng Tzeng (CIKM, 2024)

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. - Fudong Lin; Kaleb Guillot; Summer Crawford; Yihe Zhang 001; Xu Yuan 001; Nian-Feng Tzeng (KDD, 2024)

ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. - Bishal Thapaliya; Anh Nguyen; Yao Lu; Tian Xie; Igor Grudetskyi; Fudong Lin; Antonios Valkanas; Jingyu Liu 001; Deepayan Chakraborty; Bilel Fehri (CoRR, 2024)

BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis. - Tiankuo Chu; Fudong Lin; Shubo Wang; Jason Jiang; Wiley Jia-Wei Gong; Xu Yuan 001; Liyun Wang (ICLR, 2025)

Do Protein Transformers Have Biological Intelligence? - Fudong Lin; Wanrou Du; Jinchan Liu; Tarikul I. Milon; Shelby Meche; Wu Xu; Xiaoqi Qin; Xu Yuan (CoRR, 2025)

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. - Fudong Lin; Jiadong Lou; Hao Wang 022; Brian Jalaian; Xu Yuan 001 (CoRR, 2025)