| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | ACL | Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models. | Shaonan Liu, Guo Yu, Xiaoling Luo, Shiyi Zheng, Jie Liu, Wenting Chen, Linlin Shen |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | MICCAI | 💎 GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. | Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen |
| 2024 | MICCAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. | Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu |
| 2023 | AAAI | 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 |
| 2022 | GLOBECOM | AoI-aware Scheduling and Trajectory Optimization for Multi-UAV-assisted Wireless Networks. | Yusi Long, Wenjie Zhang, Shimin Gong, Xiaoling Luo, Dusit Niyato |
| 2022 | ICONIP | Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. | Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu |
| 2022 | IWCMC | Optimization-driven Deep Reinforcement Learning for Sniffer Patrolling in Wireless Networks. | Xiaoling Luo, Meng Wang, Chunnian Zeng, Chengtao Li, Jing Xu, Shimin Gong |
| 2022 | MICCAI | Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. | Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu |
| 2021 | IJCNN | 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 |
| 2019 | AAAI | 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 |