Jingwen Ye

According to our database, Jingwen Ye authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heavy Labels Out! Dataset Distillation with Label Space Lightening.

Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang

CoRR, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.

Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.

Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Distilled Datamodel with Reverse Gradient Matching.

Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ungeneralizable Examples.

Jingwen Ye, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mutual-Modality Adversarial Attack with Semantic Perturbation.

Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2023

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.

Songhua Liu, Jingwen Ye, Xinchao Wang

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Partial Network Cloning.

Jingwen Ye, Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Slimmable Dataset Condensation.

Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Spot-Adaptive Knowledge Distillation.

Jie Song, Ying Chen, Jingwen Ye, Mingli Song

IEEE Trans. Image Process., 2022

Data Cleaning and AutoML: Would an Optimizer Choose to Clean?

Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan

Datenbank-Spektrum, 2022

A Survey of Neural Trees.

Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song

CoRR, 2022

Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples.

Jingwen Ye, Zunlei Feng, Xinchao Wang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Deep Model Reassembly.

Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dataset Distillation via Factorization.

Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning with Recoverable Forgetting.

Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Factorizing Knowledge in Neural Networks.

Xingyi Yang, Jingwen Ye, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.

Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Safe Distillation Box.

Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.

Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Online Knowledge Distillation for Efficient Pose Estimation.

Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song

IEEE Trans. Vis. Comput. Graph., 2020

Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.

Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song

IEEE Trans. Image Process., 2020

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.

Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.

Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.

Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.

Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Finer-Net: Cascaded Human Parsing with Hierarchical Granularity.

Jingwen Ye, Zunlei Feng, Yongcheng Jing, Mingli Song

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2017