Yuan, Xu

16 publications

ICLR 2025 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, Liyun Wang

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

AAAI 2025 Instruction-Guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model Xu Yuan, Li Zhou, Zenghui Sun, Zikun Zhou, Jinsong Lan

NeurIPS 2025 Long-Tailed Recognition via Information-Preservable Two-Stage Learning Fudong Lin, Xu Yuan

ECML-PKDD 2025 Towards Interpretable Adversarial Examples via Sparse Adversarial Attack Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan

ICLR 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

AAAI 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang

ECML-PKDD 2023 Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng

AAAI 2023 DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness Gang Yan, Hao Wang, Xu Yuan, Jian Li

ICCV 2023 MMST-ViT: Climate Change-Aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer 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 Bayoumi, Nian-Feng Tzeng

ICCV 2023 Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan

IJCAI 2021 Improving Sequential Recommendation Consistency with Self-Supervised Imitation Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding

IJCAI 2021 Interpretable Minority Synthesis for Imbalanced Classification Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng

AAAI 2021 Online Learning in Variable Feature Spaces Under Incomplete Supervision Yi He, Xu Yuan, Sheng Chen, Xindong Wu

ECML-PKDD 2021 Precise Weather Parameter Predictions for Target Regions via Neural Networks Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul J. Darby Iii, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, Nian-Feng Tzeng

IJCAI 2020 Learning Interpretable Representations with Informative Entanglements Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu