Jingwen Ye
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
11
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Heavy Labels Out! Dataset Distillation with Label Space Lightening. | Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang |
| 2025 | IROS | High-Precision Parallel Manipulation of Multi-Particle System Using Optoelectronic Tweezers. | Shunxiao Huang, Jiawei Zhao, Chunyuan Gan, Zijin Zeng, Hongyi Xiong, Jingwen Ye, Wenyan Niu, Ao Wang, Chan Li, Hongyan Sun, Zaiyang Chen, Yingjian Guo, Lin Feng |
| 2025 | IROS | A Study on the Generation of Single Cell Droplets via the Combination of Lateral-Field Optoelectronic Tweezers and Electrowetting-on-Dielectric. | Jiawei Zhao, Shunxiao Huang, Hongyi Xiong, Chunyuan Gan, Jingwen Ye, Wenyan Niu, Lin Feng |
| 2025 | SIGGRAPH | PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive transformer. | Jingwen Ye, Yuze He, Yanning Zhou, Yiqin Zhu, Kaiwen Xiao, Yong-Jin Liu, Wei Yang, Xiao Han |
| 2025 | SiggraphA | CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling. | Yuze He, Yanning Zhou, Wang Zhao, Jingwen Ye, Yushi Bai, Kaiwen Xiao, Yong-Jin Liu, Zhongqian Sun, Wei Yang |
| 2024 | AAAI | Mutual-Modality Adversarial Attack with Semantic Perturbation. | Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang |
| 2024 | CVPR | Ungeneralizable Examples. | Jingwen Ye, Xinchao Wang |
| 2024 | CVPR | Distilled Datamodel with Reverse Gradient Matching. | Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang |
| 2024 | ECCV | Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. | Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang |
| 2024 | ICML | StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. | Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang |
| 2024 | IJCAI | Improving Adversarial Robustness via Feature Pattern Consistency Constraint. | Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song |
| 2023 | CVPR | Slimmable Dataset Condensation. | Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang |
| 2023 | CVPR | Partial Network Cloning. | Jingwen Ye, Songhua Liu, Xinchao Wang |
| 2023 | KDD | 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 |
| 2022 | AAAI | Safe Distillation Box. | Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song |
| 2022 | ECCV | 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 |
| 2022 | ECCV | DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. | Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang |
| 2022 | ECCV | Factorizing Knowledge in Neural Networks. | Xingyi Yang, Jingwen Ye, Xinchao Wang |
| 2022 | ECCV | Learning with Recoverable Forgetting. | Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang |
| 2022 | VCIP | Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples. | Jingwen Ye, Zunlei Feng, Xinchao Wang |
| 2021 | ICCV | Online Knowledge Distillation for Efficient Pose Estimation. | Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan |
| 2020 | CVPR | DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. | Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song |
| 2020 | CVPR | Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. | Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song |
| 2019 | CVPR | 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 |
| 2019 | IJCAI | Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. | Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song |