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2020 – today
- 2025
[c9]Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Jia-Wei Gong, Xu Yuan, Liyun Wang:
BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis. ICLR 2025- [c8]Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan:
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. ECML/PKDD (7) 2025: 92-110 - [c7]Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul I. Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan:
Do Protein Transformers Have Biological Intelligence? ECML/PKDD (9) 2025: 373-390 - [i7]Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul I. Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan:
Do Protein Transformers Have Biological Intelligence? CoRR abs/2506.06701 (2025) - [i6]Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan:
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. CoRR abs/2506.17250 (2025) - [i5]Fudong Lin, Xu Yuan:
Long-Tailed Recognition via Information-Preservable Two-Stage Learning. CoRR abs/2510.08836 (2025) - 2024
- [c6]Fudong Lin
, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng:
Towards Robust Vision Transformer via Masked Adaptive Ensemble. CIKM 2024: 1389-1399 - [c5]Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng:
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. KDD 2024: 5375-5386 - [i4]Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng:
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. CoRR abs/2406.06081 (2024) - [i3]Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng:
Towards Robust Vision Transformer via Masked Adaptive Ensemble. CoRR abs/2407.15385 (2024) - [i2]Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakraborty, Bilel Fehri:
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. CoRR abs/2410.11765 (2024) - 2023
- [c4]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:
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. ICCV 2023: 5751-5761 - [c3]Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng:
Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. ECML/PKDD (7) 2023: 54-71 - [i1]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:
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. CoRR abs/2309.09067 (2023) - 2022
- [c2]Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng:
Cascade Variational Auto-Encoder for Hierarchical Disentanglement. CIKM 2022: 1248-1257 - 2021
- [c1]Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng:
Interpretable Minority Synthesis for Imbalanced Classification. IJCAI 2021: 2542-2548
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