Publications

2025

1. NAACL

   

   Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs

   Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha Kass-Hout, Jiayu Zhou , and 1 more author

   Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Apr 2025

   DOI PDF Code

   
2. MECC

   

   Fast Online Adaptive Neural MPC via Meta-Learning

   Yu Mei, Xinyu Zhou, Shuyang Yu, Vaibhav Srivastava, and Xiaobo Tan

   The 5th Modeling, Estimation and Control Conference (MECC 2025), 2025

   DOI arXiv Code

   
3. Preprint

   

   ConDS: Context Distribution Shift for Robust In-Context Learning

   Shuyang Yu, Sumyeong Ahn, Siqi Liang, Bairu Hou, Jiabao Ji , and 2 more authors

   OpenReview preprint, 2025

   PDF

   

2024

1. ICLR

   

   Safe and Robust Watermark Injection with a Single OoD Image

   Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang , and 1 more author

   International Conference on Learning Representations (ICLR), 2024

   PDF Code

   
2. TNNLS

   

   Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths

   Yajing Fan^*, Shuyang Yu^*, Bin Gu, Ziran Xiong, Zhou Zhai , and 2 more authors

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024

   * equal contribution

   DOI

   

2023

1. ICLR

   

   Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection

   Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, and Jiayu Zhou

   International Conference on Learning Representations (ICLR), 2023

   Spotlight

   PDF Code

   
2. ICML

   

   Revisiting Data-Free Knowledge Distillation with Poisoned Teachers

   Junyuan Hong^*, Yi Zeng^*, Shuyang Yu^*, Lingjuan Lyu, Ruoxi Jia , and 1 more author

   Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

   * equal contribution

   PDF Code

   
3. NeurIPS Regulatable ML workshop

   

   Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning

   Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia , and 1 more author

   NeurIPS Regulatable ML workshop, 2023

   arXiv

   

2022

1. ICDM

   

   Robust Unsupervised Domain Adaptation from a Corrupted Source

   Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, and Jiayu Zhou

   2022 IEEE International Conference on Data Mining (ICDM), 2022

   DOI Code

   

2021

1. KDD

   

   Federated Adversarial Debiasing for Fair and Transferable Representations

   Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge , and 1 more author

   Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021

   DOI Code

   
2. PR

   A Kernel Path Algorithm for General Parametric Quadratic Programming Problem

   Bin Gu, Ziran Xiong, Shuyang Yu, and Guansheng Zheng

   Pattern Recognition, 2021

   DOI

   

2019

1. KDD

   

   Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning

   Shuyang Yu^*, Bin Gu^*, Kunpeng Ning, Haiyan Chen, Jian Pei , and 1 more author

   Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2019

   * equal contribution

   DOI