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撰写论文、专著、教材等
[1] Xiongwen Quan, Guangyao Hou, Wenya Yin, Han Zhang. A multi-modal and multi-stage fusion enhancement network for segmentation based on OCT and OCTA images, Information Fusion, 2025, 113(102594) ( SCI 1区) [2] Han Zhang, Xuening Bai, Guangyao Hou, Xiongwen Quan*. A multi-step interaction network for multi-class classification based on OCT and OCTA images, Information Fusion, 2025, 120(103041) ( SCI 1区) [3] Wei Wang, Xiongwen Quan*, Wanwan Huang, Yu Cheng, Han Zhang. TL-CCL: Two-level causal contrastive learning for multi-label ocular disease diagnosis with fundus images, Biomedical Signal Processing and Control, 2024, 95: 106308. ( SCI 2区) [4] Hang Bai, Li Gao, Xiongwen Quan*, Han Zhang, Shuo Gao, Chuanze Kang, Jiaqiang Qi. OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples. Interdisciplinary Sciences: Computational Life Sciences, 2022, 14(1):182-195. ( SCI 2区) [5] Shuo Gao, Li Gao, Xiongwen Quan*, Han Zhang , Hang Bai , Chuanze Kang. Automatic arteriosclerotic retinopathy grading using four-channel with image merging. Computer Methods and Programs in Biomedicine, 2021(11):106274.( SCI 2区) [6] Xingyuan Ou, Li Gao, Xiongwen Quan*, Han Zhang, Jinglong Yang, Wei Li. BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images. Computer Methods and Programs in Biomedicine, 2022, 219,: 106739 (SCI 2区) [7] Xiongwen Quan, Xingyuan Ou, Li Gao, Wenya Yin, Guangyao Hou, Han Zhang. SCINet: A Segmentation and Classification Interaction CNN Method for Arteriosclerotic Retinopathy Grading, Interdisciplinary Sciences: Computational Life Sciences, 2024, 16: 926-935.( SCI 2区) [8] Xiongwen Quan, Mingjing Han, Xia Guo, Zeyuan Li, Han Zhang, Yanbin Yin. Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection, 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023: 1400-1405. (CCF B) [9] Huike Guo, Han Zhang, Minghe Li, Xiongwen Quan*. LTUNet: A Lightweight Transformer-Based UNet with Multi-scale Mechanism for Skin Lesion Segmentation. Artificial Intelligence - Third CAAI International Conference, CICAI 2023, 147-158. [10] Ken Lin, Xiongwen Quan*, Wenya Yin and Han Zhang. A Contrastive Learning Pre-Training Method for Motif Occupancy Identification[J]. InternationalJournal of Molecular Sciences, 2022, 23, 4699. ( SCI 2区) [11] Ken Lin, Xiongwen Quan*, Chen Jin, Zhuangwei Shi， Jinglong Yang. An Interpretable Double-Scale Attention Model for Enzyme Protein Class Prediction Based on Transformer Encoders and Multi-Scale Convolutions. Frontiers in Genetics, 2022, 13: 885627. (SCI 2区) [12] Jinglong Yang , Xiongwen Quan*, Han Zhang. Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction. International Conference on Neural Information Processing(ICONIP), 2021:620–631. [13] Wenying Yue, Peng Du, Xiongwen Quan*, Ying Chen. A new strategy based on approximate dynamic programming to maximize the net revenue of IaaS cloud providers with limited resources. Future Generation Computer Systems, 2019, 101: 1168-1186. (SCI 1区) [14] Han Zhang, Xueting Huo, Xia Guo, Xin Su, Xiongwen Quan*, Chen Jin. A Disease-related Gene Mining Method Based on Weakly Supervised Learning Model, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, 169-174. (CCF B) [15] Zhang Han, Huo Xueting, Guo Xia, Su Xin, Quan Xiongwen*, Jin Chen. A disease-related gene mining method based on weakly supervised learning model. BMC Bioinformatics, 2019, 20. (SCI 2区) [16] Xia Guo, Xue Jiang, Jing Xu, Xiongwen Quan*, Min Wu, Han Zhang. Ensemble Consensus-Guided Unsupervised Feature Selection to Identify Huntington’s Disease-Associated Genes. Genes, 2018, 9(7):1-11. [17] Xue Jiang, Han Zhang, Feng Duan, Xiongwen Quan*. Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data, BMC Bioinformatics, 2017, 18(1):447. (SCI 2区)
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