Haoran Li

25 papers A* 4A 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Graph Neural Networks.
IEEE Access
Xinyang Zhang, Shengrong Li, Haoran Li, Peiliang Gong, Jiahua Shi, Jun Shen, Chunwei Tian, Daoqiang Zhang, Qi Zhu
2026 A* conf
Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis.
AAAI
Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang
2026 J jnl
From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation.
Int. J. Comput. Vis.
Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2026 J jnl
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning.
CoRR
Binbin Yong, Haoran Pei, Jun Shen, Haoran Li, Qingguo Zhou, Zhao Su
2026 J jnl
Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading.
CoRR
Haoran Li, Yuxin Lin, Huan Wang, Xiaoling Luo, Qi Zhu, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Zongyan Xue, Jun Shen, Yong Xu
2026 A* conf
Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating.
AAAI
Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen
2025 J jnl
Deep Learning-Driven Protein-Ligand Binding Affinity Prediction: Data, Architecture, Training and Evaluation.
IEEE Trans. Comput. Biol. Bioinform.
Zhiwei Li, Guoqiang Zhou, Haoran Li, Jiacong Mi, Jiahua Shi, Jun Shen
2025 J jnl
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 — conf
FedSC: Federated Learning with Semantic-Aware Collaboration.
KDD (2)
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 J jnl
FedSC: Federated Learning with Semantic-Aware Collaboration.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen
2025 A conf
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration.
ICWS
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen
2025 J jnl
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration.
CoRR
Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen
2025 J jnl
MMF-RNN: A Multimodal Fusion Model for Precipitation Nowcasting Using Radar and Ground Station Data.
IEEE Trans. Geosci. Remote. Sens.
Qian Liu, Yongxiang Xiao, Yaocheng Gui, Guilan Dai, Haoran Li, Xu Zhou, Aiai Ren, Guoqiang Zhou, Jun Shen
2025 J jnl
MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.
Knowl. Based Syst.
Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2025 A* conf
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling.
AAAI
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2024 — conf
FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells.
ISBI
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen
2024 J jnl
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells.
CoRR
Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen
2024 J jnl
GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction.
Briefings Bioinform.
Guoqiang Zhou, Yuke Qin, Qiansen Hong, Haoran Li, Huaming Chen, Jun Shen
2024 J jnl
Global disentangled graph convolutional neural network based on a graph topological metric.
Knowl. Based Syst.
Wenzhen Liu, Guoqiang Zhou, Xiaoyu Mao, Shudi Bao, Haoran Li, Jiahua Shi, Huaming Chen, Jun Shen, Yuanming Huang
2024 A* conf
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation.
NeurIPS
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
2024 J jnl
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling.
CoRR
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2023 J jnl
Zero-Shot Camouflaged Object Detection.
IEEE Trans. Image Process.
Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
2022 — conf
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling.
MICCAI (8)
Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai
2022 J jnl
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling.
CoRR
Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai
2022 J jnl
Prompt-driven efficient Open-set Semi-supervised Learning.
CoRR
Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang