Haoran Li

According to our database, Haoran Li authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation.

Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu

Int. J. Comput. Vis., May, 2026

FedHPro: Federated Hyper-Prototype Learning via Gradient Matching.

Huan Wang, Jun Shen, Haoran Li, Zhenyu Yang, Jun Yan, Ousman Manjang, Yanlong Zhai, Di Wu, Guansong Pang

CoRR, May, 2026

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading.

Haoran Li, Yuxin Lin, Huan Wang, Xiaoling Luo, Qi Zhu, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Zongyan Xue, Jun Shen, Yong Xu

CoRR, February, 2026

KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning.

Binbin Yong, Haoran Pei, Jun Shen, Haoran Li, Qingguo Zhou, Zhao Su

CoRR, February, 2026

Dual Visual Prompting With Context-Modulated Diffusion Prompts.

Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

IEEE Trans. Multim., 2026

A Survey on Graph Neural Networks.

Xinyang Zhang, Shengrong Li, Haoran Li, Peiliang Gong, Jiahua Shi, Jun Shen, Chunwei Tian, Daoqiang Zhang, Qi Zhu

IEEE Access, 2026

Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating.

Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis.

Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MMF-RNN: A Multimodal Fusion Model for Precipitation Nowcasting Using Radar and Ground Station Data.

Qian Liu, Yongxiang Xiao, Yaocheng Gui, Guilan Dai, Haoran Li, Xu Zhou, Aiai Ren, Guoqiang Zhou, Jun Shen

IEEE Trans. Geosci. Remote. Sens., 2025

Deep Learning-Driven Protein-Ligand Binding Affinity Prediction: Data, Architecture, Training and Evaluation.

Zhiwei Li, Guoqiang Zhou, Haoran Li, Jiacong Mi, Jiahua Shi, Jun Shen

IEEE Trans. Comput. Biol. Bioinform., 2025

MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.

Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu

Knowl. Based Syst., 2025

FedSC: Federated Learning with Semantic-Aware Collaboration.

Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration.

Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen

Proceedings of the IEEE International Conference on Web Services, 2025

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning.

Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling.

Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction.

Guoqiang Zhou, Yuke Qin, Qiansen Hong, Haoran Li, Huaming Chen, Jun Shen

Briefings Bioinform., July, 2024

Global disentangled graph convolutional neural network based on a graph topological metric.

Wenzhen Liu, Guoqiang Zhou, Xiaoyu Mao, Shudi Bao, Haoran Li, Jiahua Shi, Huaming Chen, Jun Shen, Yuanming Huang

Knowl. Based Syst., 2024

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation.

Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells.

Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Zero-Shot Camouflaged Object Detection.

Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang

IEEE Trans. Image Process., 2023

2022

Prompt-driven efficient Open-set Semi-supervised Learning.

Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang

CoRR, 2022

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling.

Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022