Xiaoling Luo

According to our database, Xiaoling Luo authored at least 71 papers between 2019 and 2026.

Collaborative distances:

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

2026

ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis.

Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen

IEEE J. Biomed. Health Informatics, April, 2026

Maximizing Incremental Information Entropy for Contrastive Learning.

Jiansong Zhang, Zhuoqin Yang, Xu Wu, Xiaoling Luo, Peizhong Liu, Linlin Shen

CoRR, March, 2026

Spike-VAD: Efficient and Robust Spiking Neural Network for Voice Activity Detection.

Kexin Shi, Mengshu Hou, Xiaoling Luo, Dehao Zhang, Hanwen Liu, Jingya Wang

IEEE Trans. Cogn. Dev. Syst., February, 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

MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement.

Meidan Ding, Jipeng Zhang, Wenxuan Wang, Haiqin Zhong, Xiaoling Luo, Wenting Chen, Linlin Shen

CoRR, January, 2026

Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models.

Shaonan Liu, Guo Yu, Xiaoling Luo, Shiyi Zheng, Wenting Chen, Jie Liu, Linlin Shen

CoRR, January, 2026

SDC-Net: Semi-supervised breast ultrasound lesion segmentation via semantic decoupling.

Jiansong Zhang, Zhuoqin Yang, Xiaoling Luo, Shaozheng He, Linlin Shen

Pattern Recognit., 2026

FProtoSeg: Fine-grained prototype alignment for Weakly Supervised Semantic Segmentation of histopathology images.

Meidan Ding, Wenting Chen, Xiaoling Luo, Haiqin Zhong, Linlin Shen

Pattern Recognit., 2026

Text condition embedded regression network for automated dental implant abutment design.

Mianjie Zheng, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuefen Liu, Kun Tang, He Meng, Linlin Shen

Expert Syst. Appl., 2026

A bionic spiking sequence memory model with minicolumns, dendrites and oscillation for text retrieval.

Yun Zhang, Xinlin Pu, Xiaoling Luo, Ping Li, Hong Qu

Expert Syst. Appl., 2026

A bionic spiking recurrent neural network with sparse connections and Dale's principle for image and speech recognition.

Yun Zhang, Lang Xue, Xiaoling Luo, Ping Li, Hong Qu

Digit. Signal Process., 2026

Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis.

Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu

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

VPSentry: Semi-supervised Video Polyp Segmentation via Sentry-guided Long-term Prototype Fusion with Correlation Dynamic Propagation.

Guilian Chen, Xiaoling Luo, Huisi Wu, Jing Qin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Text Condition Embedded Regression Network for Automated Dental Abutment Design.

Mianjie Zheng, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuefen Liu, Kun Tang, He Meng, Linlin Shen

CoRR, November, 2025

SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction.

Guolin Huang, Wenting Chen, Jiaqi Yang, Xinheng Lyu, Xiaoling Luo, Sen Yang, Xiaohan Xing, Linlin Shen

CoRR, November, 2025

Temporal-Spatial-Relation Former for Multi-Person Motion Prediction.

Yun Zhang, Chiyu Cai, Xiaoling Luo, Ping Li, Yalan Ye

IEEE Trans. Consumer Electron., August, 2025

A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models.

Xiaoling Luo, Ruli Zheng, Qiaojian Zheng, Zibo Du, Shuo Yang, Meidan Ding, Qihao Xu, Chengliang Liu, Linlin Shen

CoRR, August, 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

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

Adaptive self-correction network for human motion prediction.

Jinkai Li, Jinghua Wang, Xin Wang, Liang Yan, Xiaoling Luo, Yong Xu

Appl. Soft Comput., 2025

Saliency-Guided Selection Driven Multi-scale Network for Breast Tumor Detection.

Xinfei Gu, Chengliang Liu, Xiaoling Luo, Qihao Xu, Zhihui Lai, Heng Kong

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

OTMamba: Ophthalmology Image Translation Using Guidance-Controllable Mamba Diffusion Model.

Huijie Deng, Yamei Lu, Zhuoru Wu, Chunhui Zou, Hui Li, Bowei Yuan, Xiaoling Luo, Linlin Shen

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

PET-GPRA: Rethinking PET with Gradient-Aware Prompting and Router-Free Adapters for Few-shot Class-Incremental Learning.

Yishu Liu, Zhiming Chen, Desen Wang, Xiaoling Luo, Bingzhi Chen, Guangming Lu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CauRDG: Enhancing Domain Generalization with Causal-Driven Semantic Consistency Reasoning.

Zongxin Liu, Yishu Liu, Guangming Lu, Xiaoling Luo, Bingzhi Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training.

Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer.

Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

UBDet: An Unsupervised Breast Tumor Detection Framework with Boundary-Aware Enhancement.

Xingxin Guo, Zhihui Lai, Heng Kong, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

Baohui Lin, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin

Briefings Bioinform., July, 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

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

💎 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