师资队伍

讲师

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  • 姓名:王茜

  • 职称:讲师    

  • 所在院系:计算机系    

  • 最后学位:博士

  • 最后学历:研究生

  • 最后毕业院校:中国海洋大学    

  • 所学专业:计算机软件与理论    

  • 研究方向:生物信息学、人工智能辅助药物设计、药物预测与计算    

 

个人简介

王茜,工学博士,烟台大学计算机与控制工程学院讲师。中国人工智能学会会员,中国计算机学会(CCF)会员、山东省生物信息学会会员、CCF YOCSEF青岛委员会委员。在Briefings in Bioinformatics、Bioinformatics、BIBM等国际知名生信期刊和会议发表学术论文9篇,授权国家发明专利4项;主持山东省自然科学青年基金1项,深度参与国家重点研发计划和省新旧动能转换重大工程重大课题攻关项目各1项。曾在海信集团控股股份有限公司任系统开发工程师参与科研研发项目。

工作经历

 
2025.03-至今 烟台大学计算机与控制工程学院,讲师  

    

主讲课程  


计算机组成原理,汇编语言

 

科研成果

 

学术论文:

[1] Qian Wang, Xiaotong Hu, Zhiqiang Wei, Hao Lu and Hao Liu*. Reinforcement Learning-Driven Exploration of Peptide Space: Accelerating Generation of Drug-Like Peptides. Briefings in Bioinformatics, Volume 25, Issue 5, September 2024, bbae444. (中科院小类1区,IF:8.7)
[2] Qian Wang, Zhiqiang Wei, Xiaotong Hu, Zhuoya Wang, Yujie Dong, Hao Liu*, Molecular generation strategy and optimization based on A2C reinforcement learning in de novo drug design, Bioinformatics, Volume 39, Issue 11, November 2023, btad693.(CCF-A类期刊,IF:7.1)
[3] Jingwei Zhang*, Qian Wang, Qing Yang, Rui Zhou, Yanchun Zhang. Exploiting Multi-Category Characteristics and Unified Framework to Extract Web Content, Data Science and Engineering, June 2018, Volume 3, Issue 2, pp 101–114. (中科院1区Top,IF:4.6)
[4] Qian Wang, Zhiqiang Wei, Zhuoya Wang, Xiaotong Hu, Hao Lu, and Hao Liu*. Target-aware Guided equivariant Diffusion model for 3D molecule Generation[C]//2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024: 4497-4504. (CCF B类会议)
[5] Qian Wang, Hao Liu*, and Xiaotong Hu. 2021. Deep Reinforcement Learning and Docking Simulations for autonomous molecule generation in de novo Drug Design. In MMAsia’21: ACM Multimedia Asia, December 1–3, 2021, Gold Coast, Australia.(CCF C类会议)
[6] Qian Wang, Qing Yang, Jingwei Zhang*, Rui Zhou, Yanchun Zhang. Extracting Web Content by Exploiting Multi-Category Characteristics. International Conference on Web Information Systems Engineering, Puschino, Russia, October 07-11, 2017:229-244. (CCF C类会议)
[7] Chao Yang, Qian Wang, Qing Yang, Huibing Zhang, Jingwei Zhang*, and Ya Zhou. Optimization Factor Analysis of Large-Scale Join Queries on Different Platforms[C]. Proceedings of DASFAA International Workshops, Suzhou, China, March 27–30, 2017: 35-46. (CCF B类会议)
[8] Hao Lu, Zhiqiang Wei, Jiaming Liu, Qian Wang, Hao Liu. Designing high-affinity 3D drug molecules via geometric spatial perception diffusion model[J]. Briefings in Bioinformatics, 2025, 26(5): bbaf542. (中科院小类1区,IF:8.7)
[9] Xiangqian Li, Yuxi Lin, Hao Liu, Qian Wang, Zhuoya Wang, Jianing Chen, Ruihua Liu, Zeming Wang, Zhiqiang Wei*, Xin Wang*, Dayong Shi*. Automated de novo drug design and Anti-coronavirus activity studies of 3CLpro inhibitors[J]. preprint. research square, 2022.


专利:

[1]王茜,童向荣,丁宸昊,胡晓桐. 一种深度强化学习驱动的多肽药物分子生成方法,ZL2025 11240425.4
[2] Zhiqiang Wei, Qian Wang, Hao Liu, Zhuoya Wang. A Drug Molecule Intelligent Generation Method Based on Reinforcement Learning and Docking. PCT/CN2021/107490
[3] 魏志强,王茜,刘昊,李阳阳,王卓亚. 一种基于强化学习和对接的药物分子智能生成方法,ZL202110780433.3

 

主持及参与课题:


[1] 山东省自然科学基金青年基金,多目标成药属性约束的药物分子生成技术研究, 2025.10-2028.9, 在研,主持。
[2] 国家重点研发计划, 蓝色药库-智能海洋药物研发, 2019.07-2022.12, 结题, 参与

[3] 省新旧动能转换重大工程重大课题攻关项目,海洋智能超算药物组学大数据关键技术研究及产业应用,2019.08-2021.08,结题,参与

 

 

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