| Learning efficient vision transformers via fine-grained manifold distillation Z Hao, J Guo, D Jia, K Han, Y Tang, C Zhang, H Hu, Y Wang Advances in Neural Information Processing Systems, 2022 | 109 | 2022 |
| One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Z Hao, J Guo, K Han, Y Tang, H Hu, Y Wang, C Xu Advances in Neural Information Processing Systems, 2023 | 55 | 2023 |
| CDFKD-MFS: Collaborative data-free knowledge distillation via multi-level feature sharing Z Hao, Y Luo, Z Wang, H Hu, J An IEEE Transactions on Multimedia 24, 4262-4274, 2022 | 33 | 2022 |
| Multi-agent collaborative inference via DNN decoupling: Intermediate feature compression and edge learning Z Hao, G Xu, Y Luo, H Hu, J An, S Mao IEEE Transactions on Mobile Computing 22 (10), 6041-6055, 2022 | 33 | 2022 |
| Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale Z Hao, J Guo, K Han, H Hu, C Xu, Y Wang Advances in Neural Information Processing Systems, 2023 | 26* | 2023 |
| Data-free ensemble knowledge distillation for privacy-conscious multimedia model compression Z Hao, Y Luo, H Hu, J An, Y Wen Proceedings of the 29th ACM International Conference on Multimedia, 1803-1811, 2021 | 18 | 2021 |
| Ghostnetv3: Exploring the training strategies for compact models Z Liu, Z Hao, K Han, Y Tang, Y Wang arXiv preprint arXiv:2404.11202, 2024 | 17 | 2024 |
| DeViT: Decomposing vision transformers for collaborative inference in edge devices G Xu, Z Hao, Y Luo, H Hu, J An, S Mao IEEE Transactions on Mobile Computing 23 (5), 5917-5932, 2023 | 16 | 2023 |
| Data-efficient large vision models through sequential autoregression Z Hao, J Guo, C Wang, Y Tang, H Wu, H Hu, K Han, C Xu International Conference on Machine Learning, 2024 | 15 | 2024 |
| SAM-diffsr: Structure-modulated diffusion model for image super-resolution C Wang, Z Hao, Y Tang, J Guo, Y Yang, K Han, Y Wang arXiv preprint arXiv:2402.17133, 2024 | 9 | 2024 |
| Model compression via collaborative data-free knowledge distillation for edge intelligence Z Hao, Y Luo, Z Wang, H Hu, J An 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 6 | 2021 |
| Adapt without forgetting: Distill proximity from dual teachers in vision-language models M Zheng, Y Tang, Z Hao, K Han, Y Wang, C Xu European Conference on Computer Vision, 109-125, 2024 | 1 | 2024 |
| Visual Prompting via Partial Optimal Transport M Zheng, Z Hao, Y Tang, C Xu European Conference on Computer Vision, 1-18, 2025 | | 2025 |
| PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation Z Hao, Z Xiao, Y Luo, J Guo, J Wang, L Shen, H Hu Proceedings of the 32nd ACM International Conference on Multimedia, 1943-1951, 2024 | | 2024 |
| ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning Z Hao, J Guo, L Shen, Y Luo, H Hu, Y Wen arXiv preprint arXiv:2410.17779, 2024 | | 2024 |
| Empirical Study on Enhancing Efficiency in Masked Image Modeling Pre-training J Guo, Z Hao, K Han, Y Tang, H Wu, X Chen, H Hu, C Xu, Y Wang | | |