Xiaoling Luo

According to our database, Xiaoling Luo authored at least 45 papers between 2019 and 2025.

Collaborative distances:

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

2025

SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction.

Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu

BMC Bioinform., December, 2025

Retina-Inspired Lightweight Spiking Convolutional Neural Network for Single-Image Dehazing.

Ya Zhang, Xiaoling Luo, Qian Sun, Yuchen Wang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models.

Malu Zhang, Xiaoling Luo, Jibin Wu, Ammar Belatreche, Siqi Cai, Yang Yang, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., June, 2025

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

Xiaoling Luo, Qihao Xu, Zhihua Wang, Chao Huang, Chengliang Liu, Xiaopeng Jin, Jianguo Zhang

IEEE J. Biomed. Health Informatics, May, 2025

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection.

Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu

CoRR, March, 2025

HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction.

Jiaqi Yang, Wenting Chen, Xiaohan Xing, Sean He, Xiaoling Luo, Xinheng Lyu, Linlin Shen, Guoping Qiu

CoRR, March, 2025

MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification.

Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Zheng Lu, Linlin Shen

CoRR, February, 2025

Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing.

Yuxin Lin, Xiaoyan Dou, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Tianyi Luo, Jie Wen, Bingo Wing-Kuen Ling, Yong Xu, Wei Wang

Pattern Recognit., 2025

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Ying Liu, Xiaoling Luo, Ya Zhang, Yun Zhang, Wei Zhang, Hong Qu

Neural Networks, 2025

InstCNet: A Dual-Branch Network for Enhanced Tumor Diagnosis via Joint Segmentation and Classification.

Zhihui Lai, Xingxin Guo, Heng Kong, Israr Hussain, Xiaoling Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading.

Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai, Linlin Shen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases.

Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching.

Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Information Recovery-Driven Deep Incomplete Multiview Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.

Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., May, 2024

A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence.

Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang

CAAI Trans. Intell. Technol., February, 2024

A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks.

Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu

Neural Networks, 2024

AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction.

Jinkai Li, Jinghua Wang, Lian Wu, Xin Wang, Xiaoling Luo, Yong Xu

Neural Networks, 2024

Activation Space Selectable Kolmogorov-Arnold Networks.

Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Zheng Lu, Linlin Shen

CoRR, 2024

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.

Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen

CoRR, 2024

SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis.

Zijian Cai, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuechen Li, Linlin Shen, He Meng, Yongqiang Deng

CoRR, 2024

A comprehensive review and comparison of existing computational methods for protein function prediction.

Baohui Lin, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin

Briefings Bioinform., 2024

Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network.

Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph.

Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SpikeFusionNet: A Hybrid Approach to Robotic Fault Diagnosis Using Spiking Neural Dynamics.

Ying Liu, Wei Zhang, Xiaoling Luo, Yun Zhang, Hong Qu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation.

Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification.

Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.

Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

A biologically inspired auto-associative network with sparse temporal population coding.

Ya Zhang, Kexin Shi, Xiaoling Luo, Yi Chen, Yucheng Wang, Hong Qu

Neural Networks, September, 2023

Class-guided human motion prediction via multi-spatial-temporal supervision.

Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu

Neural Comput. Appl., May, 2023

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

CoRR, 2023

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy.

Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu

Comput. Biol. Medicine, 2023

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning.

Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network.

Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers.

Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification.

Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PHR-search: a search framework for protein remote homology detection based on the predicted protein hierarchical relationships.

Xiaopeng Jin, Xiaoling Luo, Bin Liu

Briefings Bioinform., 2022

Correction to: PHR-search: a search framework for protein remote homology detection based on the predicted protein hierarchical relationships.

Xiaopeng Jin, Xiaoling Luo, Bin Liu

Briefings Bioinform., 2022

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.

Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms.

Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou

Pattern Recognit., 2021

A new recursive least squares-based learning algorithm for spiking neurons.

Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li

Neural Networks, 2021

Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network.

Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.

Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li

IEEE J. Sel. Top. Signal Process., 2020

2019

Multi-resolution dictionary learning for face recognition.

Xiaoling Luo, Yong Xu, Jian Yang

Pattern Recognit., 2019

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons.

Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019