何文颖，女，博士研究生，河北工业大学人工智能与数据科学学院讲师，硕士生导师，研究方向为机器学习、深度学习、数据挖掘、生物信息学，研究工作集中在AI for Science相关研究，主持国家级项目1项，主持省部级项目1项，以第一作者和通讯作者发表SCI论文10余篇，其中单篇最高引用150余次，2篇入选ESI高被引论文。
- [1] Wenying He; Jijun Tang; Quan Zou; Fei Guo. MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. Briefings in Bioinformatics, 2021, 22(6), 1- 10.
- [2] Wenying He; Cangzhi Jia; Quan Zou ;. 4mCPred: machine learning methods for DNA N-4- methylcytosine sites prediction. Bioinformatics, 2019, 4(35), 593-601.
- [3] Y Ding, W He, J Tang, Q Zou, F Guo. Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via -Matrix Norm. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, , .
- [4] M Zhao, W He, J Tang, Q Zou, F Guo. A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. Briefings in bioinformatics, 2022, , .
- [5] Y Zuo, J Zhang, W He, X Liu, Z Deng. CarSitePred: an integrated algorithm for identifying carbonylated sites based on KNDUA-LNDOT resampling technique. Journal of Biomolecular Structure and Dynamics, 2024, , .