| Prompt guided transformer for multi-task dense prediction Y Lu, S Sirejiding, Y Ding, C Wang, H Lu IEEE Transactions on Multimedia, 2024 | 15 | 2024 |
| Scale-Aware Task Message Transferring for Multi-Task Learning S Sirejiding, Y Lu, H Lu, Y Ding 2023 IEEE International Conference on Multimedia and Expo (ICME), 1859-1864, 2023 | 10 | 2023 |
| FedHCA2: Towards Hetero-Client Federated Multi-Task Learning Y Lu, S Huang, Y Yang, S Sirejiding, Y Ding, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9* | 2024 |
| YOLO-Med: Multi-Task Interaction Network for Biomedical Images S Huang, S Sirejiding, Y Lu, Y Ding, L Liu, H Zhou, H Lu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| TFUT: Task fusion upward transformer model for multi-task learning on dense prediction Z Xin, S Sirejiding, Y Lu, Y Ding, C Wang, T Alsarhan, H Lu Computer Vision and Image Understanding 244, 104014, 2024 | 3 | 2024 |
| Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective S Sirejiding, B Bayramli, Y Lu, S Huang, H Lu, Y Ding IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 2 | 2024 |
| Task Indicating Transformer for Task-Conditional Dense Predictions Y Lu, S Sirejiding, B Bayramli, S Huang, Y Ding, H Lu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| Topology-Aware Popularity Debiasing via Simplicial Complexes Y Ji, Y Ding, C Liu, Y Lu, X Xin, H Lu arXiv preprint arXiv:2411.13892, 2024 | 1 | 2024 |
| Task-Interaction-Free multi-task learning with efficient hierarchical feature representation S Sirejiding, B Bayramli, Y Lu, Y Yang, T Alsarhan, H Lu, Y Ding Proceedings of the 32nd ACM International Conference on Multimedia, 6103-6112, 2024 | 1 | 2024 |
| Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Y Yang, Y Lu, S Huang, S Sirejiding, H Lu, Y Ding Proceedings of the 2024 International Conference on Multimedia Retrieval …, 2024 | 1 | 2024 |
| Learning Auxiliary Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting W Jiang, Z Xie, Y Lu, L Qi, J Cai, H Uchiyama, B Chen, Y Ding, H Lu IEEE Transactions on Multimedia, 2025 | | 2025 |
| MMAT: Multi-scale Multi-attention Transformer for Fine-Grained Wild Fungi Visual Classification Q Dai, Y Lu, C Wang, H Lu Pacific Rim International Conference on Artificial Intelligence, 41-53, 2024 | | 2024 |
| Differentiable Gaussian Representation for Incomplete CT Reconstruction S Wu, Y Lu, W Ji, S Huang, F Yang, S Sirejiding, Q He, J Tong, Y Ji, ... arXiv preprint arXiv:2411.04844, 2024 | | 2024 |
| Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Y Lu, S Cao, YX Wang arXiv preprint arXiv:2410.14633, 2024 | | 2024 |
| BARTENDER: A simple baseline model for task-level heterogeneous federated learning Y Yang, Y Lu, S Huang, S Sirejiding, C Liu, M Yi, Z Xie, Y Ding, H Lu 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | | 2024 |
| Towards Mixture of Task-Intensive Experts for Multi-task Recommendation X Cai, Y Lu, H Lu, Y Ding International Conference on Database Systems for Advanced Applications, 323-332, 2024 | | 2024 |
| Towards Personalized Federated Multi-Scenario Multi-Task Recommendation Y Ding, Y Ji, X Cai, X Xin, Y Lu, S Huang, C Liu, X Gao, T Murata, H Lu arXiv preprint arXiv:2406.18938, 2024 | | 2024 |
Hongtao LuShanghai Jiao Tong universityEmail verificata su sjtu.edu.cn