职称：讲师
所在部门：计算机科学与工程系
办公地点：南慧楼319
孟巧珍，博士，讲师。2024年6月毕业于天津大学智能与计算学部计算机应用技术专业，获工学博士学位。目前在谈球吧∙网络空间安全公司工作。研究方向为机器学习、深度学习、生物信息学等，主要从事人工智能算法助力生物分子序列、结构与功能发现，特别聚焦于蛋白质生物分子以及多肽药物分子的设计等。近年来在Briefings in Bioinformatics、IEEE/ACM Transactions on Computational Biology and Bioinformatics等多个重要期刊和会议上发表论文10余篇。先后参与科技部重点研发项目、国家自然科学基金（面上、青年）等。担任BIBM、BMC Bioinformatics、ICLR等会议和期刊审稿人。
团队常年招收硕士研究生和本科生，欢迎有兴趣生物信息学的同学加入，请与我邮件联系！团队长期与国内外高水平科研单位（中南大学、中科院深圳先进院等）保持长期稳定合作关系。
工作经历
2024-至今 谈球吧 谈球吧
研究领域
1. 机器学习、深度学习
2. 生物信息
代表作
1. Qiaozhen Meng, Genlang Chen, Bin Lin, Shixin Zheng, Yulai Lin, Jijun Tang*, Fei Guo*. DMAMP: A Deep-Learning Model for Detecting Antimicrobial Peptides and Their Multi-Activities [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024. (CCF B)
2. Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang*, Fei Guo*. EPIMR: Prediction of enhancer-promoter interactions by multi-scale ResNet on image representation [J]. Big Data Mining and Analytics, 2024, 7(3): 668-681. (中科院一区, IF: 13.6)
3. Qiaozhen Meng, Fei Guo*, Jijun Tang*. Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model [J]. Briefings in Bioinformatics, 2023, 24(4): 1-14. (生物信息领域Top 期刊)
4. Qiaozhen Meng, Fei Guo*, Ercheng Wang *, Jijun Tang*. ComDock: A novel approach for protein-protein docking with an efficient fusing strategy [J]. Computers in Biology and Medicine, 2023, 167:107660. (Top 期刊)
5. Jia Jin+, Qiaozhen Meng+, Guihua Duan*, Ercheng Wang*, Fei Guo*. Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools [J]. Future Generation Computer Systems, 2024, 160: 724-738. (共一，Top 期刊)
6. Beibei Zhang+, Qiaozhen Meng+, Chengwei Ai, Guihua Duan, Ercheng Wang*, Fei Guo*. Comparative Analysis of Deep Generative Model for Industrial Enzyme Design [J]. Current Bioinformatics, 2024. (共一，JCR 1区)
7. Qiaozhen Meng, Jijun Tang, Fei Guo*. Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning [C]. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, 710-713. (CCF B)
8. Wei Zhang+, Qiaozhen Meng+, Jijun Tang, Fei Guo*. Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset [J]. Briefings in Bioinformatics, 2021, 22(6): bbab150. (共一，生物信息领域 Top 期刊)
9. Wei Zhang, Qiaozhen Meng, Jianxin Wang, Fei Guo*. HDIContact: a novel predictor of residue-residue contacts on hetero-dimer interfaces via sequential information and transfer learning strategy [J]. Briefings in Bioinformatics, 2022, 23(4): bbac169. (生物信息领域 Top 期刊)
10. Chao Yang, Yijie Ding*, Qiaozhen Meng, Jijun Tang, Fei Guo*. Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information [J]. Neural Computing and Applications, 2021, 33: 11387–11399. (CCF B)
科研项目
1. 国家自然科学基金面上项目，靶向蛋白质相互作用的药物分子智能识别方法研究，参与；
2. 国家重点研发计划子课题，新蛋白质元件人工设计合成及应用，参与；
社会兼职
1. CCF会员；
2. 担任BMC Bioinformatics期刊、ICLR、BIBM等期刊和会议审稿人。
