Zheng, Songzhu

10 publications

WACV 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen

TMLR 2025 Reweighting Improves Conditional Risk Bounds Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka

TMLR 2024 Learning to Abstain from Uninformative Data Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

ICLRW 2023 Backdoor Attacks Against Transformers with Attention Enhancement Weimin Lyu, Songzhu Zheng, Haibin Ling, Chao Chen

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

ICLRW 2023 On the Existence of a Trojaned Twin Model Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen

ICLR 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

NeurIPS 2021 Topological Detection of Trojaned Neural Networks Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen

NeurIPS 2020 A Topological Filter for Learning with Label Noise Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, Chao Chen

ICML 2020 Error-Bounded Correction of Noisy Labels Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen