撰写论文、专著、教材等 近期发表的主要论文等
[1] Zhang Han, Wang Huan, Han Mingjing*. "HopGAT: A multi-hop graph attention network with heterophily and degree awareness" . Pattern Recognition, 2025: 112387.(SCI IF = 7.6 中科院大类一区TOP) 通讯作者 [2] Han, Mingjing, Han Zhang. "KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning." Knowledge-Based Systems (2024): 111561. (SCI IF = 7.2 中科院大类一区TOP) 第一作者 [3] Han, Mingjing, Han Zhang, Wei Li, Yanbin Yin. "Semantic-guided graph neural network for heterogeneous graph embedding." Expert Systems with Applications 232 (2023): 120810. (SCI IF = 7.5 中科院大类一区TOP) 第一作者 [4] Han, Mingjing, Han Zhang. "Multiple kernel learning for label relation and class imbalance in multi-label learning." Information Sciences 613 (2022): 344-356. (SCI IF = 8.1 中科院大类一区TOP) 第一作者 [5] Yuanxiang Jiang, Mingjing Han*, Yanbin Yin, Han Zhang. “TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases” 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. (EI CCF-B, 生物信息国际顶级会议) 通讯作者 [6] Han, Mingjing, Han Zhang, Huan Wang, Yanbin Yin. “Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction.” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. (EI CCF-B) 第一作者 [7]Gu, Weizhen, Han Zhang*, Mingjing Han. "scStarCorrect: A StarGAN-Based Adversarial Model for Reference-Guided Batch Correction in Single-Cell RNA-Seq Data." 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2025. (EI CCF-B) [8] Li Wei, Zhang Han*, Li Minghe, Han Mingjing, Yin Yanbin.” MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN.” Briefings in bioinformatics 23.5 (2022): bbac333. (SCI IF = 6.8 中科院小类一区TOP) [9] Zhao Qingqing, Zhang Han*, He Mengyao, Li Wei, Kang Chuanze, Han Mingjing.” Graph pooling via Dual-view Multi-level Infomax.” Knowledge-Based Systems 260 (2023): 110089. (SCI IF = 7.2 中科院大类一区TOP) [10] He Mengyao, Zhao Qingqing, Zhang Han*, Kang Chuanze, Li Wei, Han Mingjing.” Graph representation learning via redundancy reduction.” Neurocomputing 533 (2023):161-177. (SCI IF = 5.5 中科院二区TOP) [11] Quan Xiongwen, Guo Xia, Zhang Han*, Han Mingjing, Li Zeyuan, Yin Yanbin.” Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection.” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. (EI CCF-B) |
