Haoran Li

1. H. Wang^*, Haoran Li^*, H. Chen, Y. Jun, J. Shi and J. Shen. (2025) FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning. IEEE/CVF International Conference on Computer Vision 2025 (ICCV 2025, Core Ranking A*).
2. H. Wang^*, Haoran Li^*, H. Chen, Y. Jun, J. Shi and J. Shen. (2025) FedSC: Federated Learning with Semantic-Aware Collaboration. The 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025, Core Ranking A*).
3. H. Wang, Haoran Li, H. Chen, Y. Jun, L. Wang, J. Shi, S. Chen and J. Shen. (2025) FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration. International Conference on Web Services (ICWS 2025, Core Ranking A).
4. Haoran Li, X. Li, J. Shi, H. Chen, B. Du, D. Kihara, J. Barthelemy, J. Shen and M. Xu. (2025) Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025, Core Ranking A*).
5. Q. Liu, Y. Xiao, Y. Gui, G. Dai, Haoran Li, X. Zhou, A. Ren, G. Zhou, and J. Shen. (2025) MMF-RNN: A Multimodal Fusion Model for Precipitation Nowcasting Using Radar and Ground Station Data. IEEE Transactions on Geoscience and Remote Sensing (IF = 7.5).
6. Y. Zhao, H. Bian, K. Chen, P. Ji, L. Qu, S. Lin, W. Yu, Haoran Li, H. Chen, J. Shen, B. Raj and M. Xu. (2024) Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. The 38th Annual Conference on Neural Information Processing Systems (Neurips 2024, Core Ranking A*).
7. Haoran Li, J. Shi, H. Chen, B. Du, S. Maksour, G. Phillips, M. Dottori and J. Shen. (2024) FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells. The 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024, ERA Ranking A).
8. G. Zhou, Y. Qin, Q. Hong, Haoran Li, H. Chen and J. Shen. (2024) GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. Briefings in Bioinformatics (IF = 6.8).
9. W. Liu, G. Zhou, X. Mao, S.D. Bao, Haoran Li, J. Shi, H. Chen, J. Shen and Y. Huang. (2024) Global disentangled graph convolutional neural network based on a graph topological metric. Knowledge-Based Systems (IF = 7.2).
10. Q. Hong, G. Zhou, Y. Qin, J. Shen, and Haoran Li. (2024) SadNet: a novel multimodal fusion network for protein–ligand binding affinity prediction. Physical Chemistry Chemical Physics (IF = 3.67).
11. Haoran Li, C-M. Feng, Y. Xu, T. Zhou, L. Yao and X. Chang. (2023) Zero-shot Camouflaged Object Detection. IEEE Transactions on Image Processing (IF=13.7, Core Ranking A*).
12. Haoran Li, C-M. Feng, T. Zhou, Y. Xu and J. Shen. (2022) Prompt-driven efficient open-set semi-supervised learning. arXiv preprint.
13. C. Li, D. Liu, Haoran Li, Z. Zhang, G. Lu, X. Chang and W. Cai. (2022). Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labeling. The 25th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022, Core Ranking A).

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