I am a Ph.D. student at the Life Sciences Institute of Guangxi Medical University in Nanning, China, and a member of the Medical AI ReSearch Group. I earned my M.Sc. degree in 2025 from Guilin University of Electronic Technology. My research interests lie at the intersection of computational science and life sciences, with a specific focus on medical image analysis, behavioral equivalence, and data mining. I am passionate about leveraging computational methods to address complex biological and medical challenges. Please feel free to explore my work and contact me for potential collaborations.

Education

• 2025-09 to present Ph.D. in Guangxi Medical University Directed by Yuexiang Li
• 2022-09 to 2025-06 M.Sc. in Guilin University of Electronic Technology Directed by Jinzhao Wu

News

The following articles have been recently accepted but have not yet been published. A # symbol indicates the first author, and a * denotes the corresponding author. You can also find my articles on ORCID or WOS.

• Xiaojie Huang#, Yongjie Liang#, Junyue Cao#, Yawen Huang, Bizhong Wei*, Yuexiang Li. MKLS-UNet: Multi-Kernel Lightweight Selective U-Net with Adaptive Wave Downsampling for Medical Image Segmentation[C]. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026.
• Fan Qin#, Yongjie Liang#, Junyue Cao#, Peiyuan Wang, Bizhong Wei*, Yuexiang Li. Dual-Domain Wavelet State-Space Network for Medical Image Segmentation[C]. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2026.
• Chaofeng Yang#, Yongjie Liang#, Junyue Cao#, Peiyuan Wang, Bizhong Wei*, Yuexiang Li. Self-Guided Attention Enhanced Cross-Modal Translation and Alignment for Multimodal Cancer Survival Prediction[C]. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2026.
• 韦金妙#, 黄月君, 梁永杰, 曹俊月*, 陈庆锋*. 1990—2023年中国肝癌病因谱变迁及非酒精性脂肪性肝炎相关肝癌负担的性别差异与趋势[J]. 广西医科大学学报, 2026.
• 张浩然#, 梁永杰, 韦必忠*. 基于对比学习与深度超图的癌症生存预测模型[J]. 桂林电子科技大学学报, 2026.

Publications

The following publications are listed in order of their publication date. A # symbol indicates the first author, and a * denotes the corresponding author. You can also find my articles on ORCID or WOS.

• Jiaying Fan#, Yongjie Liang#, Junyue Cao#, Peiyuan Wang, Bizhong Wei*, Yuexiang Li. HEDS-Net: A Hybrid State-Space Architecture with Axial Bridge and Progressive Weighting for Medical Image Segmentation[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026.
• Zijian Xie#, Yongjie Liang#, Yawen Huang, Xian Wu, Bizhong Wei, Yuexiang Li*. Det-Y: A Multi-center Dataset and Benchmark for Efficient Detection of Mycobacterium Tuberculosis in Sputum Smears[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026.
• Wujie Hu#, Yongjie Liang, Wenhu Qin, Yinggun Bi, Gonglin Yuan*. Beyond meta-paths: ASHIN — A unified Algebraic Signature for Heterogeneous Information Networks[J]. Information Processing & Management, 2026.
• Peiyuan Wang#, Yongjie Liang*#, Bizhong Wei*#, Chaofeng Yang, Yulong Cao, Fan Qin, Jiaying Fan, Xiaojie Huang, Junyue Cao*. Adaptive Wavelet Enhancement and Stratified Feature Fusion for Robust Medical Image Segmentation[J]. Journal of King Saud University Computer and Information Sciences, 2026.
• Qinggeng Jin#, Wujie Hu, Yongjie Liang, Jinzhao Wu*. Hierarchical heterogeneous information networks and approximate reduction under semantic controllability[J]. Journal of King Saud University Computer and Information Sciences, 2026.
• Jiaqi Zhao#, Yongjie Liang#, Ziwei Zhu, Yu Wang, Cheng Lu*, Xiaohui Duan*, Yuexiang Li*. Towards Clinically Deployable Cross-Center Head and Neck Cancer Detection: A Multi-Level Domain Alignment Approach[J]. Frontiers in Artificial Intelligence, 2026.
• Junjie Wu#, Yongjie Liang#, Jinzhao Wu*. Heterogeneous Information Network Recommendation Driven by Automatic Meta-Path Identification[J]. The European Journal on Artificial Intelligence, 2026.
• Yulong Cao#, Yongjie Liang#, Chaofeng Yang, Fan Qin, Jiaying Fan, Peiyuan Wang, Xiaojie Huang, Bizhong Wei*. Frequency-Enhanced and Hypergraph-Aware Cross-Modal Attention for Cancer Survival Prediction[C]. International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), 2026.
• Yongjie Liang#, Qinggeng Jin, Wujie Hu, Junjie Wu, Yu Liang, Jinzhao Wu, Bizhong Wei*. Self-Adaptive Density Peak Clustering through Aggregation of Multiple Similarity Matrices in Heterogeneous Information Networks[C]. International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), 2026.
• 梁永杰#. 异质信息网络的K互模拟研究[D]. 桂林电子科技大学, 2025.
• Yongjie Liang#, Wujie Hu, Junjie Wu, Jinzhao Wu*. Automated Bisimulation-Based Similarity Measurement in Heterogeneous Information Networks[J]. Concurrency and Computation: Practice and Experience, 2025.
• Chaofeng Yang#, Yongjie Liang#, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei*. A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement[J]. Journal of King Saud University Computer and Information Sciences, 2025.
• Fan Qin#, Yongjie Liang#, Chaofeng Yang, Yulong Cao, Jiaying Fan, Peiyuan Wang, Bizhong Wei*. Medical image segmentation network based on multi-scale cross-attention and wavelet transform[J]. Journal of King Saud University Computer and Information Sciences, 2025.
• 吴任舒#, 梁永杰, 韦必忠*, 曹俊月. 基于多模态医学图像融合的癌症生存预测方法[J]. 桂林电子科技大学学报, 2025.
• Yongjie Liang#, Wujie Hu, Jinzhao Wu*. K-bisimulation: A novel approach for simplifying heterogeneous information networks[J]. Future Generation Computer Systems, 2025.
• Yongjie Liang#, Wujie Hu, Junjie Wu, Jinzhao Wu*. MTOClus: multitype objects clustering in heterogeneous information networks[C]. International Conference on Communications, Information System, and Data Science (CISDS), 2025.