| Mixed autoencoder for self-supervised visual representation learning K Chen, Z Liu, L Hong, H Xu, Z Li, DY Yeung Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 25 | 2023 |
| EHSOD: CAM-guided end-to-end hybrid-supervised object detection with cascade refinement L Fang, H Xu, Z Liu, S Parisot, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10778 …, 2020 | 22 | 2020 |
| Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing Z Liu, J Han, K Chen, L Hong, H Xu, C Xu, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 55, 65, 2022 | 21* | 2022 |
| DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning E Xie, L Yao, H Shi, Z Liu, D Zhou, Z Liu, J Li, Z Li IEEE InternationalConference on Computer Vision, 2023, 2023 | 19 | 2023 |
| Mixture of cluster-conditional lora experts for vision-language instruction tuning Y Gou, Z Liu, K Chen, L Hong, H Xu, A Li, DY Yeung, JT Kwok, Y Zhang arXiv preprint arXiv:2312.12379, 2023 | 17 | 2023 |
| Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts Z Liu, K Chen, J Han, H Lanqing, H Xu, Z Li, J Kwok International Conference on Learning Representations, 0 | 16* | |
| Your contrastive learning is secretly doing stochastic neighbor embedding T Hu, Z Liu, F Zhou, W Wang, W Huang International Conference on Learning Representations, 2022 | 15 | 2022 |
| Geom-erasing: Geometry-driven removal of implicit concept in diffusion models Z Liu, K Chen, Y Zhang, J Han, L Hong, H Xu, Z Li, DY Yeung, J Kwok arXiv preprint arXiv:2310.05873, 2023 | 10 | 2023 |
| Trackdiffusion: Multi-object tracking data generation via diffusion models P Li, Z Liu, K Chen, L Hong, Y Zhuge, DY Yeung, H Lu, X Jia arXiv preprint arXiv:2312.00651, 2023 | 8 | 2023 |
| Relaxed conditional image transfer for semi-supervised domain adaptation Q Luo, Z Liu, L Hong, C Li, K Yang, L Wang, F Zhou, G Li, Z Li, J Zhu arXiv preprint arXiv:2101.01400, 2021 | 4 | 2021 |
| Eyes closed, safety on: Protecting multimodal llms via image-to-text transformation Y Gou, K Chen, Z Liu, L Hong, H Xu, Z Li, DY Yeung, JT Kwok, Y Zhang arXiv preprint arXiv:2403.09572, 2024 | 3 | 2024 |
| MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric H Lin, H Bai, Z Liu, L Hou, M Sun, L Song, Y Wei, Z Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 1 | 2024 |
| Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment Z Liu, Y Gou, K Chen, L Hong, J Gao, F Mi, Y Zhang, Z Li, X Jiang, Q Liu, ... arXiv preprint arXiv:2405.00557, 2024 | | 2024 |
