| FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Y Chen, J Wang, C Yu, W Gao, X Qin IJCAI-19 Workshop; IEEE Intelligent Systems, 2020 | 1240 | 2020 |
| Transfer Learning with Dynamic Adversarial Adaptation Network C Yu, J Wang, Y Chen, M Huang IEEE International Conference on Data Mining (ICDM) 2019 (Full paper, 9.08 …, 2019 | 477 | 2019 |
| Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Q Zhou, C Yu, Z Wang, Q Qian, H Li Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2021 | 286 | 2021 |
| Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning X Qin, Y Chen, J Wang, C Yu (UbiComp'20) Proceedings of the ACM on Interactive, Mobile, Wearable and …, 2019 | 98 | 2019 |
| WorldVLA: Towards Autoregressive Action World Model J Cen, C Yu, H Yuan, Y Jiang, S Huang, J Guo, X Li, Y Song, H Luo, ... arXiv preprint arXiv:2506.21539, 2025 | 65 | 2025 |
| Point RCNN: An Angle-Free Framework for Rotated Object Detection Q Zhou, C Yu, Z Wang, H Li Remote Sensing 14 (11), 2605, 2022 | 59 | 2022 |
| Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation C Yu, Q Zhou, J Li, Z Zhang, Z Wang, F Wang ACM International Conference on Multimedia (ACMMM) 2023, 2023 | 53 | 2023 |
| Animate3D: Animating Any 3D Model with Multi-view Video Diffusion Y Jiang, C Yu, C Cao, F Wang, W Hu, J Gao Neural Information Processing Systems (NeurIPS) 2024, 2024 | 50 | 2024 |
| SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer Z Wu, C Yu, Y Jiang, C Cao, F Wang, X Bai European Conference on Computer Vision (ECCV) 2024, 2024 | 46 | 2024 |
| Object Detection Made Simpler by Eliminating Heuristic NMS Q Zhou, C Yu, C Shen, Z Wang, H Li IEEE Transactions on Multimedia (TMM), 2023, 2021 | 46 | 2021 |
| RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension Q Zhou, C Yu, S Zhang, S Wu, Z Wang, F Wang arXiv preprint arXiv:2308.02299, 2023 | 34 | 2023 |
| Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning C Yu, J Wang, Y Chen, Z Wu International Joint Conference on Neural Networks (IJCNN) 2019, 2019 | 33 | 2019 |
| MimCo: Masked Image Modeling Pre-training with Contrastive Teacher Q Zhou, C Yu, H Luo, Z Wang, H Li ACM International Conference on Multimedia (ACMMM) 2022, 2022 | 30 | 2022 |
| Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation C Yu, Q Zhou, J Li, J Yuan, Z Wang, F Wang CVPR 2023, 23685-23694, 2023 | 24 | 2023 |
| LMSeg: Language-guided Multi-dataset Segmentation Q Zhou, Y Liu, C Yu, J Li, Z Wang, F Wang International Conference on Learning Representations (ICLR) 2023, 2023 | 23 | 2023 |
| MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing C Cao, C Yu, Y Fu, F Wang, X Xue Neural Information Processing Systems (NeurIPS) 2024, 2024 | 22 | 2024 |
| MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis Z Zhong, Y Xu, J Li, J Xu, Z Li, C Yu, S Gao European Conference on Computer Vision (ECCV) 2024, 2024 | 16 | 2024 |
| D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers Q Zhou, C Yu, Z Wang, F Wang IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 16 | 2023 |
| SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing Z Wu, C Yu, Z Zhu, F Wang, X Bai arXiv preprint arXiv:2310.08094, 2023 | 15 | 2023 |
| Transfer channel pruning for compressing deep domain adaptation models C Yu, J Wang, Y Chen, X Qin International Journal of Machine Learning and Cybernetics 10 (11), 3129-3144, 2019 | 14 | 2019 |