| 2026 | AAAI | Oligodendrocyte-Driven Spiking Neural Model. | Mengqiao Han, Liyuan Pan, Xiabi Liu, Hongming Zhang |
| 2025 | CVPR | GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven. | Mengqiao Han, Liyuan Pan, Xiabi Liu |
| 2025 | CVPR | Task-Specific Gradient Adaptation for Few-Shot One-Class Classification. | Yunlong Li, Xiabi Liu, Liyuan Pan, Yuchen Ren |
| 2025 | ICONIP | Optimization Design of Adaptive Loss Function Using Evolutionary Neural Networks. | Xiang Meng, Zhaoyang Hai, Xiabi Liu, Yan Pei |
| 2025 | ISCAS | PMIL: A Topology Module to Improve MIL-based WSI Classification. | Ahmad Obeid, Anabia Sohail, Said Boumaraf, Xiabi Liu, Sajid Javed, Hasan Almarzouqi, Jorge Dias, Mohammed Bennamoun, Naoufel Werghi, Ibrahim Abe M. Elfadel |
| 2025 | SMC | A Brain-Inspired Dual-Stream Neural Network for Tumor Classification in Ultrasound Images. | Chaochao Lin, Said Boumaraf, Xiabi Liu, Qianglin Liu, Lijuan Niu, Naoufel Werghi |
| 2024 | AAAI | MA-Net: Rethinking Neural Unit in the Light of Astrocytes. | Mengqiao Han, Liyuan Pan, Xiabi Liu |
| 2023 | CVPR | AstroNet: When Astrocyte Meets Artificial Neural Network. | Mengqiao Han, Liyuan Pan, Xiabi Liu |
| 2020 | IJCNN | A New Three-stage Curriculum Learning Approach for Deep Network Based Liver Tumor Segmentation. | Huiyu Li, Xiabi Liu, Said Boumaraf, Weihua Liu, Xiaopeng Gong, Xiaohong Ma |
| 2020 | IJCNN | Image Co-segmentation with Multi-Scale Dual-Cross Correlation Network. | Yushuo Li, Yuanpei Liu, Xiaopeng Gong, Xiabi Liu |
| 2020 | MICCAI | Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation. | Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma |
| 2019 | IJCNN | A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion. | Xiaodong Qi, Xiabi Liu, Said Boumaraf |
| 2016 | ICPR | Simplifying Gaussian mixture model via model similarity. | Yuchai Wan, Xiabi Liu, Yuyang Tang |
| 2014 | ICONIP | A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modeling. | Yi Wu, Xiabi Liu, Lunhao Guo |
| 2012 | CBMS | Using HOG-LBP features and MMP learning to recognize imaging signs of lung lesions. | Li Song, Xiabi Liu, Ling Ma, Chunwu Zhou, Xinming Zhao, Yanfeng Zhao |
| 2012 | ICONIP | GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces. | Yuchai Wan, Xiabi Liu, Kunqi Tong, Xue Wei, Yi Wu, Fei Guan, Kunpeng Pang |
| 2012 | PDCAT | Descent Search with Mean Direction Evolution Strategies Based on GPU with CUDA. | Kunpeng Pang, Yugang Li, Xiabi Liu |
| 2010 | MMM | Automatic Image Annotation with Cooperation of Concept-Specific and Universal Visual Vocabularies. | Yanjie Wang, Xiabi Liu, Yunde Jia |
| 2009 | CAIP | Soft Measure of Visual Token Occurrences for Object Categorization. | Yanjie Wang, Xiabi Liu, Yunde Jia |
| 2009 | GECCO | Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers. | Xuefeng Chen, Xiabi Liu, Yunde Jia |
| 2009 | ICDAR | Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition. | Xuefeng Chen, Xiabi Liu, Yunde Jia |
| 2009 | ICDAR | Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation. | Yanjie Wang, Xiabi Liu, Yunde Jia |
| 2006 | ICIP | Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images. | Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng |
| 2006 | ICONIP | Maximum-Minimum Similarity Training for Text Extraction. | Hui Fu, Xiabi Liu, Yunde Jia |
| 2006 | ICVS | Hand-Gesture Based Text Input for Wearable Computers. | Yang Liu, Xiabi Liu, Yunde Jia |