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ORCIDJingwen Ye
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2020 – today
- 2024
[c24]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI 2024: 6657-6665- [c23]Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CVPR 2024: 11944-11953 - [c22]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CVPR 2024: 11954-11963 - [c21]Ruonan Yu
, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. ECCV (46) 2024: 1-17 - [c20]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. ICML 2024 - [c19]Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song:
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. IJCAI 2024: 848-856 - [i23]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CoRR abs/2404.14006 (2024) - [i22]Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CoRR abs/2404.14016 (2024) - [i21]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR abs/2406.00275 (2024) - [i20]Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song:
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. CoRR abs/2406.08829 (2024) - [i19]Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang:
Heavy Labels Out! Dataset Distillation with Label Space Lightening. CoRR abs/2408.08201 (2024) - 2023
- [c18]Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang:
Slimmable Dataset Condensation. CVPR 2023: 3759-3768 - [c17]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CVPR 2023: 20137-20146 - [c16]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. KDD 2023: 237-249 - [i18]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CoRR abs/2303.10597 (2023) - [i17]Songhua Liu, Jingwen Ye, Xinchao Wang:
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR abs/2304.09728 (2023) - [i16]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. CoRR abs/2305.19903 (2023) - [i15]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR abs/2312.12768 (2023) - 2022
- [j4]Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan:
Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum 22(2): 121-130 (2022) - [j3]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-Adaptive Knowledge Distillation. IEEE Trans. Image Process. 31: 3359-3370 (2022) - [c15]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. AAAI 2022: 3117-3124 - [c14]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) 2022: 72-90 - [c13]Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. ECCV (34) 2022: 73-91 - [c12]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. ECCV (11) 2022: 87-103 - [c11]Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. ECCV Workshops (8) 2022: 308-325 - [c10]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. NeurIPS 2022 - [c9]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. NeurIPS 2022 - [c8]Jingwen Ye, Zunlei Feng, Xinchao Wang:
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples. VCIP 2022: 1-5 - [i14]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-adaptive Knowledge Distillation. CoRR abs/2205.02399 (2022) - [i13]Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. CoRR abs/2207.03337 (2022) - [i12]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR abs/2207.06124 (2022) - [i11]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022) - [i10]Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song:
A Survey of Neural Trees. CoRR abs/2209.03415 (2022) - [i9]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. CoRR abs/2210.16774 (2022) - [i8]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. CoRR abs/2210.17409 (2022) - 2021
- [c7]Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan:
Online Knowledge Distillation for Efficient Pose Estimation. ICCV 2021: 11720-11730 - [c6]Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song:
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. PRCV (4) 2021: 201-213 - [i7]Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan:
Online Knowledge Distillation for Efficient Pose Estimation. CoRR abs/2108.02092 (2021) - [i6]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. CoRR abs/2112.03695 (2021) - 2020
- [j2]Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song:
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. IEEE Trans. Image Process. 29: 1177-1191 (2020) - [j1]Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song:
Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. 26(11): 3365-3385 (2020) - [c5]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR 2020: 3921-3929 - [c4]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CVPR 2020: 12513-12522 - [i5]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR abs/2003.07496 (2020) - [i4]Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CoRR abs/2003.09088 (2020)
2010 – 2019
- 2019
- [c3]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CVPR 2019: 2829-2838 - [c2]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. IJCAI 2019: 4128-4134 - [i3]Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CoRR abs/1904.10167 (2019) - [i2]Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. CoRR abs/1905.11569 (2019) - 2018
- [c1]Jingwen Ye, Zunlei Feng, Yongcheng Jing, Mingli Song:
Finer-Net: Cascaded Human Parsing with Hierarchical Granularity. ICME 2018: 1-6 - 2017
- [i1]Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song:
Neural Style Transfer: A Review. CoRR abs/1705.04058 (2017)
Coauthor Index
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