陳向，男，1988年生，博士，湖北浠水人，碩士生導師，講師。2010年本科畢業于中南大學信息科學與工程學院，2012年碩士畢業于哈爾濱工業大學計算機科學與技術學院，2021年博士畢業于中南大學計算機學院。2021年8月進入2003网站太阳集团，從事教學和科研工作。主要研究興趣為生物信息學。已發表 SCI 期刊檢索論文 8 篇，EI 期刊會議檢索論文 4 篇。主持國家自然科學青年基金1項，湖南省教育廳項目1項，參與國家自然科學基金優秀青年項目、面上項目、湖南省教育廳項目共計4項，擔任生物信息CCF-B類國際會議 BIBM 2022、2023  PC Member，IEEE EdgeCom 2023 Session Chair，生物信息學期刊 Briefings in Bioinformatics、Bioinformatics 審稿人。更多信息詳見個人主頁：https://chenxofhit.xyz/zh-cn/。

主持的項目：

• [縱] 湖南省教育廳優秀青年項目，項目編号: 21B0453，面向單細胞數據的基因調控網絡推斷方法研究，2022-2024

• [縱] 2003网站太阳集团博士科研啟動基金，面向單細胞數據的基因調控網絡推斷方法研究，2022-2024

• [縱] 2003网站太阳集团潇湘學院教學改革研究項目，基于翻轉課堂的《大數據存儲技術》教學改革研究與實踐，2022-2024

• [縱] 國家自然科學基金青年基金項目，項目編号：62202162，面向單細胞RNA-seq數據的基因調控網絡構建方法研究，2023-2025
  

• [橫] 非數據總線項目，2024

發表的學術論文：

• [C] Shuai Zhang, Xiang Chen, Li Peng. scIAMC:Single-Cell Imputation via adaptive matrix completion. IEEE EdgeCom 2023.

• [C] Tao Huang, Xiang Chen, Li Peng. ESR：Optimizing Gene Feature Selection for scRNA-seq data. IEEE CSCloud 2023.

• [C] Xiang Chen, Fang-Xiang Wu, Jin Chen, and Min Li. DoRC: Discovery of rare cells from ultra-large scRNA-seq data. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 111-116. IEEE, 2019. ( EI 檢索，CCF B類會議)

• [J] Li Peng , Yuan Tu , Li Huang , Yang Li , Xiangzheng Fu , and Xiang Chen. DAESTB: Inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder.Briefings in Bioinformatics. 2022. (SCI IF=11, JCR 1 區)

• [J] Li Peng, Cheng Yang , Li Huang ,Xiang Chen, Xiangzheng Fu and Wei Liu. RNMFLP:Predicting circRNA-disease associations based on robust non-negative matrix factorization and label propagation. Briefings in Bioinformatics. 2022. (CA, SCI IF=11, JCR 1 區)

• [J] Xiang Chen, Min Li, Ruiqing Zheng, Siyu Zhao, Fang-Xiang Wu, Yaohang Li, and Jianxin Wang. A novel method of gene regulatory network structure inference from gene knock-out expression data. Tsinghua Science and Technology 24, no. 4 (2019): 446-455. (SCI IF=2.3, JCR 2區 )

• [J] Xiang Chen, Min Li, Ruiqing Zheng, Fang-Xiang Wu, and Jianxin Wang. D3GRN: a data driven dynamic network construction method to infer gene regulatory networks. BMC genomics 20, no. 13 (2019): 1-8. (SCI IF=3.5, JCR 1 區)

• [J] Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinformatics 35, no. 11 (2019): 1893-1900. (SCI IF=5.6, JCR 1 區)

• [J] Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang. An ensemble method to reconstruct gene regulatory networks based on multivariate adaptive regression splines. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2019.2900614. (SCI IF=0.9, JCR 1 區)

• [J] Ruiqing Zheng, Zhenlan Liang, Xiang Chen, Yu Tian, Min Li. An Adaptive Sparse Subspace Clustering for Cell Type Identification. Front Genet. 2020 Apr 28;11:407. doi: 10.3389/fgene.2020.00407.(SCI IF=3.2, JCR 1 區)

• [J] Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, and Jianxin Wang. miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS.2020, DOI:10.1109/JBHI.2020.2987034. (SCI IF=5.1, JCR 1 區)

• [J] Min Li, Jianxin Wang, Xiang Chen, et al. “A local average connectivity-based method for identifying essential proteins from the network level[J]”. Computational biology and chemistry, 2011, 35(3): 143-150. (SCI)

• [J] Wei Bu, Xiangqian Wu, Xiang Chen, et al. “Hierarchical Detection of Hard Exudates in Color Retinal Images[J]”. JSW, 2013, 8(11): 2723-2732. (EI)

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