| Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age‐related macular degeneration K Jin, Y Yan, M Chen, J Wang, X Pan, X Liu, M Liu, L Lou, Y Wang, J Ye Acta Ophthalmologica 100 (2), e512-e520, 2022 | 138 | 2022 |
| Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis W He*, S Fu*, M Liu*, X Wang, W Xiao, F Shu, Y Wang, L Zhang, Z Yu, ... AAAI 2025, 2024 | 22* | 2024 |
| CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation M Liu, J Dan, Z Lu, Y Yu, Y Li, X Li arXiv preprint arXiv:2405.10530, 2024 | 16 | 2024 |
| Lightweight MIMO-WNet for single image deblurring M Liu, Y Yu, Y Li, Z Ji, W Chen, Y Peng Neurocomputing 516, 106-114, 2023 | 12 | 2023 |
| Llm4gen: Leveraging semantic representation of llms for text-to-image generation M Liu, Y Ma, Y Zhen, J Dan, Y Yu, Z Zhao, Z Hu, B Liu, C Fan AAAI 2025, 2024 | 11 | 2024 |
| Tolerant Self-Distillation for image classification M Liu, Y Yu, Z Ji, J Han, Z Zhang Neural Networks 174, 106215, 2024 | 8 | 2024 |
| OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning M Liu, B Li, Y Yu ECAI 2024, 2024 | 8 | 2024 |
| Improving Zero-Shot Generalization for CLIP with Variational Adapter Z Lu, F Shen, M Liu, Y Yu, X Li ECCV 2024, 2024 | 7 | 2024 |
| HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment J Dan, W Liu, M Liu, C Xie, S Dong, G Ma, Y Tan, J Xing Proceedings of the 32nd ACM International Conference on Multimedia, 11109-11118, 2024 | 6 | 2024 |
| Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning M Liu, F Wu, B Li, Z Lu, Y Yu, X Li AAAI 2025, 2024 | 6 | 2024 |
| Similar norm more transferable: Rethinking feature norms discrepancy in adversarial domain adaptation J Dan, M Liu, C Xie, J Yu, H Xie, R Li, S Dong Knowledge-Based Systems 296, 111908, 2024 | 6 | 2024 |
| Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition B Li*, M Liu*, G Wang, Y Yu AAAI 2025, 2024 | 5 | 2024 |
| Pirn: Phase invariant reconstruction network for infrared image super-resolution J Dan, T Jin, H Chi, M Liu, J Yu, K Cao, X Yang, L Zhao, H Xie Neurocomputing 599, 128221, 2024 | 4 | 2024 |
| Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios M Liu, W He, Z Lu, J Dan, Y Yu, Y Li, X Li, J Han Neural Networks 184, 107083, 2025 | 1 | 2025 |
| RestorerID: Towards Tuning-Free Face Restoration with ID Preservation J Ying*, M Liu*, Z Wu, R Zhang, Z Yu, S Fu, SY Cao, C Wu, Y Yu, HL Shen arXiv preprint arXiv:2411.14125, 2024 | 1 | 2024 |
| Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners M Liu, B Li, Y Yu arXiv preprint arXiv:2407.04003, 2024 | 1 | 2024 |
| CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers D She, M Liu, J Pang, J Wang, Z Yang, W He, G Zhang, Y Wang, Q Huang, ... arXiv preprint arXiv:2502.06527, 2025 | | 2025 |
| Variational Adapter: Improving CLIP in Data-Imbalanced Scenarios Z Lu, M Liu, Y Yu, Z Wang, X Li, J Han IEEE Transactions on Circuits and Systems for Video Technology, 2025 | | 2025 |
| Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision W He, M Liu, Y Yu, Z Lu, X Li arXiv preprint arXiv:2409.04011, 2024 | | 2024 |