Ye, Jingwen

22 publications

ICCV 2025 Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang

NeurIPS 2025 Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework Shixuan Wang, Jingwen Ye, Xinchao Wang

NeurIPS 2025 Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models Lexiang Xiong, Liu Chengyu, Jingwen Ye, Yan Liu, Yuecong Xu

CVPR 2024 Distilled Datamodel with Reverse Gradient Matching Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

IJCAI 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song

NeurIPS 2024 Model LEGO: Creating Models like Disassembling and Assembling Building Blocks Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song

AAAI 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

ICML 2024 StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang

ECCV 2024 Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang

NeurIPS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng

CVPR 2024 Ungeneralizable Examples Jingwen Ye, Xinchao Wang

CVPR 2023 Partial Network Cloning Jingwen Ye, Songhua Liu, Xinchao Wang

CVPR 2023 Slimmable Dataset Condensation Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang

NeurIPS 2022 Dataset Distillation via Factorization Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang

NeurIPS 2022 Deep Model Reassembly Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

ECCV 2022 DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

ECCV 2022 Factorizing Knowledge in Neural Networks Xingyi Yang, Jingwen Ye, Xinchao Wang

ECCV 2022 Learning with Recoverable Forgetting Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

AAAI 2022 Safe Distillation Box Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

ECCVW 2022 Unleashing the Potential of Adaptation Models via Go-Getting Domain Labels Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

ICCV 2021 Online Knowledge Distillation for Efficient Pose Estimation Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan

IJCAI 2019 Amalgamating Filtered Knowledge: Learning Task-Customized Student from Multi-Task Teachers Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song