长期从事机器学习、人工智能、大数据挖掘、生物信息智能计算等领域研究,在Briefings in Bioinformatics、IEEE Journal of Biomedical and Health Informatics、IEEE Transactions on Network Science and Engineering、IEEE/ACM Transactions on Computational Biology and Bioinformatics、Genomics, Proteomics & Bioinformatics、Tsinghua Science and Technology、Interdisciplinary Sciences: Computational Life Sciences等国际期刊和BIBM(CCF B)、ISBRA(CCF C)等国际会议上发表学术论文100余篇(详见Google学术个人主页和ResearchGate个人主页),申请发明专利及软著10余项。 (1)主要论文(第一及通讯2021-) [1] Linconghua Wang, Ju Xiang*(通讯), Zihao Guo, Kaixin Zeng, and Min Li*(通讯). MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics, Interdisciplinary Sciences: Computational Life Science, 2025: 1-15.(SCI,JCR Q1) [2] Ju Xiang, Yuting Qu, Zihao Guo, Xiangmao Meng, Ying Zheng, Yuzhou Wu*(通讯). Identifying MicroRNA-Disease Associations by Multiple Kernel Learning with Higher-Order Interactions. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, 2025, pp. 365-370.(CCF B国际会议) [3] Zihao Guo, Shengkai Chen, Jie Jiang, Yuting Qu, Yuzhou Wu, Ju Xiang*(通讯). Predicting miRNA-Disease Associations by Multikernel Learning and Relational Graph Convolutional Neural Network. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, 2025, pp. 268-273. (CCF B国际会议) [4] Wuguang Jiang, Min Zeng, Ju Xiang*(通讯), Min Li*(通讯). MDDGCN: A Graph Convolutional Network-Based Framework for Identifying Depression-Related Pathogenic Genes. In 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, 2025, pp. 999-1004. (CCF B国际会议) [5] A Jin, Ju Xiang*(通讯), Xiangmao Meng, Yue Sheng, Hongling Peng, Min Li*. DyNDG: Identifying Leukemia-Related Genes based on the Time-Series Dynamical Network by Integrating Differential Genes. Genomics, Proteomics & Bioinformatics, 2025, 23(2): qzaf037. (SCI,JCR Q1) [6] Ju Xiang, Kaixin Zeng, Shengkai Chen, Xiangmao Meng, Ruiqing Zheng, Ying Zheng, Yahui Long, Min Li*. Incorporating multi-scale module kernel for disease-gene identification in biological networks, Tsinghua Science and Technology, 2026. https://doi.org/10.26599/TST.2025.9010088(SCI,JCR Q1) [7] Ju Xiang, Shengkai Chen, Xiangmao Meng, Min Li*. Heterogeneous network impulsive dynamics for identifying disease-associated genes. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 377-382. IEEE, 2024. (CCF B国际会议) [8] Jin A, Ju Xiang*(通讯), Min Li*. DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related Genes. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 147-152. IEEE, 2024. (CCF B国际会议) [9] Shengkai Chen, Yuanyuan Liu, Xiaofei Mi, Ju Xiang*(通讯), Dianyi Song*. Intelligent Algorithms of Action Recognition for Cardiopulmonary Resuscitation Based on Wearable Device, in: ISBRA 2025, Springer Nature Singapore, Singapore, 2025, pp. 361–372. (CCF C国际会议) [10] Ju Xiang, Shengkai Chen, Xiangmao Meng, Ruiqing Zheng, Ying Zheng, Min Li*. MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes. In ISBRA 2024, Springer Nature Singapore, Singapore, 2024, pp. 13-24. (CCF C国际会议) [11] Jinlong Ma, Tian Qin, Ju Xiang*(通讯). Disease-gene prediction based on preserving structure network embedding, Frontiers in Aging Neuroscience, 2023, 15: 1061892. (SCI,JCR Q2) [12] Yibai Wang#, Ju Xiang#*(通讯), Cuicui Liu, Min Tang, Rui Hou, Meihua Bao, Geng Tian, Jianjun He*, Binsheng He*, Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization, Frontiers in Microbiology, 2022, 13: 1062281.(SCI,JCR Q2) [13] Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu, Min Li*. HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure, Briefings in Bioinformatics, 2022, 23: bbac072.(SCI,JCR Q1,中科院一区) [14] Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, Min Li*. Biomedical data, computational methods and tools for evaluating disease-disease associations, Briefings in Bioinformatics, 2022, 23(2): bbac006. (SCI,JCR Q1,中科院一区) [15] Ju Xiang, Jiashuai Zhang, Ruiqing Zheng, Xingyi Li, Min Li*. NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction, Briefings in Bioinformatics, 2021, 22: bbab080.(SCI,JCR Q1,中科院一区) [16] Ju Xiang#, Ning-Rui Zhang#, Jia-Shuai Zhang, Xiao-Yi Lv, Min Li*. PrGeFNE: Predicting disease-related genes by fast network embedding, Methods, 2021, 192: 3-12. (SCI,JCR Q1) (2) 发明专利 [1] 李敏, 项炬. 一种基于多重蛋白质网络脉冲动力学过程的疾病基因预测方法, 授权日:2023-09-22,中国发明专利,专利号:ZL202110141656.5(授权). [2] 张宁芮, 项炬, 李敏, 吕小毅, 陈晨, 严紫薇, 陈程. 一种基于快速网络嵌入的疾病基因预测方法, 授权日: 2023-07-07, 中国发明专利,专利号:ZL202010356861.9(授权). [3] 李幸一,李敏,项炬,王建新. 基于多网络的生物标志物识别方法,授权日: 2023-04-18,中国发明专利,专利号: ZL201910881269.8(授权). [4] 唐燕妮, 项炬, 高媛媛. 一种改进的基于Surprise优化的网络模块识别方法, 授权日: 2023-04-07, 中国发明专利,专利号:ZL201910463364.6(授权). [5] 李敏, 项炬. 一种基于多网络融合和多层网络扩散的抑郁障碍基因特征挖掘方法,授权日: 2022-03-04, 中国发明专利,专利号:ZL202110141774.6(授权). [6] 李敏, 项炬. 融合多尺度模块结构信息的致病基因识别方法及系统, 授权日: 2022-04-01, 中国发明专利,专利号:ZL202110496456.1(授权). [7] 李敏, 项炬. 基于多尺度模块核的致病基因识别方法及系统, 申请日: 2021-12-21, 中国发明专利,申请(专利)号:CN202111575178.5(申请). |