Fudong Lin - RankMe

16 papers A* 4A 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis. ICLR Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Jia-Wei Gong, Xu Yuan, Liyun Wang
2025	—	`conf`	Do Protein Transformers Have Biological Intelligence? ECML/PKDD (9) Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul I. Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan
2025	J	`jnl`	Do Protein Transformers Have Biological Intelligence? CoRR Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul I. Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan
2025	J	`jnl`	Long-Tailed Recognition via Information-Preservable Two-Stage Learning. CoRR Fudong Lin, Xu Yuan
2025	—	`conf`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. ECML/PKDD (7) Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2025	J	`jnl`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. CoRR Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2024	A*	`conf`	An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. KDD Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
2024	J	`jnl`	An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. CoRR Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
2024	J	`jnl`	ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. CoRR Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakraborty, Bilel Fehri
2024	A	`conf`	Towards Robust Vision Transformer via Masked Adaptive Ensemble. CIKM Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng
2024	J	`jnl`	Towards Robust Vision Transformer via Masked Adaptive Ensemble. CoRR Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng
2023	—	`conf`	Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. ECML/PKDD (7) Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng
2023	A*	`conf`	MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. ICCV Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng
2023	J	`jnl`	MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. CoRR Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng
2022	A	`conf`	Cascade Variational Auto-Encoder for Hierarchical Disentanglement. CIKM Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng
2021	A*	`conf`	Interpretable Minority Synthesis for Imbalanced Classification. IJCAI Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng