一、学习和工作经历
2005.09-2009.07 兰州大学，核科学与技术学院，粒子物理与原子核物理基地班，理学学士
2009.09-2014.06 兰州大学,核科学与技术学院，粒子物理与原子核物理，理学博士（期间2010.09-2014.06在湖州师范学院理学院联合培养）
2016.02-05，德国重离子实验中心访问、2017.07-10、2018.07-2018.10,德国法兰克福高等研究院访问
2014.08-至今，湖州师范学院理学院（2014-2017，讲师；2018-2022，副教授,2023-至今，教授）
二、通讯方式
办公室：理学院1-206
邮箱：wangyongjia [at] zjhu.edu.cn
https://orcid.org/0000-0003-2506-0010
Web of Science ResearcherID: ABC-6646-2021
三、研究方向
重离子核物理、机器学习
四、基金项目
①利用输运模型和机器学习方法研究CSR能区的低温高密核物质，U2032145，2020.01-2022.12，国家自然科学基金联合基金项目，主持，50万元
②基于输运模型对核子有效质量劈裂、高密对称能及相关的模型依赖问题的研究，11505057，国家自然科学基金青年基金，主持，21.3万元
③基于HIAF能区重离子碰撞中pion和kaon介子的产生，LY18A050002，浙江省自然科学基金，主持，10万元
五、 奖励和荣誉
同位旋非对称原子核反应与超重核合成机制研究，浙江省自然科学奖二等奖（3/4）；
浙江省高校领军人才培养计划青年优秀人才；
湖州市南太湖本土高层次人才特殊支持计划青年拔尖人才；
湖州师范学院第八届陆增镛教师奖；
六、主要论文（提供10篇左右代表作）
1. Yongjia Wang, Zepeng Gao, Hongliang Lv, Qingfeng Li*, Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning, Physics Letters B 835 (2022) 137508.
2. Yongjia Wang*, Fupeng Li, Qingfeng Li*, Hongliang Lü, Kai Zhou, Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning, Physics Letters B 822, 136669 (2021).
3. Bo Gao, Yongjia Wang*, Zepeng Gao, Qingfeng Li*, Elliptic flow in heavy-ion collisions at intermediate energy: The role of impact parameter, mean field potential, and collision term, Physics Letters B 838 (2023) 137685.
4. Yongjia Wang, Qingfeng Li*, et al. Study of the nuclear symmetry energy from the rapidity-dependent elliptic flow in heavy-ion collisions around 1 GeV/nucleon regime, 2020-01-20, Physics Letters B 802 (2020) 135249
5. Wang Yongjia*, Guo Chenchen, Li Qingfeng*, Le Fèvre, Y. Leifels, & W. Trautmann. Determination of the nuclear incompressibility from the rapidity-dependent elliptic flow in heavy-ion collisions at beam energies 0.4A–1.0A GeV. Physics Letters B 778 (2018) 207-212.
6. Wang Yongjia, Guo Chenchen, Li Qingfeng*, Zhang Hongfei, et al. Collective flow of light particles in Au + Au collisions at intermediate energies [J]. Physical Review C. 2014, 89: 034606.
7. Wang Yongjia, Guo Chenchen, Li Qingfeng*, Zhang Hongfei, et al. Constraining the high- density nuclear symmetry energy with the transverse-momentum dependent elliptic flow [J]. Physical Review C. 2014, 89:044603.
8. Yongjia Wang*, Chenchen Guo, Qingfeng Li*, Zhuxia Li, Jun Su, Hongfei Zhang, Influence of differential elastic nucleon-nucleon cross section on stopping and collective flow in heavy-ion collisions at intermediate energies, Physical Review C, 2016, 94(2): 024608
9. Yongjia Wang, Qingfeng Li*, Application of microscopic transport model in the study of nuclear equation of state from heavy ion collisions at intermediate energies, Frontiers of Physics, 15(4), 44302 (2020).
10. Liu Yangyang, Wang Yongjia*, Li Qingfeng*, Liu Ling. Collective flows of pions in Au+ Au collisions at energies 1.0 and 1.5 GeV/nucleon. Physical Review C 97.3 (2018): 034602.
11. Fupeng Li, Yongjia Wang*, Zepeng Gao, Pengcheng Li, Hongliang Lü, Qingfeng Li*, C. Y. Tsang, and M. B. Tsang, Application of machine learning in the determination of impact parameter in the 132Sn + 124Sn system, Physical Review C 104, 034608 (2021).
12. Li Pengcheng, Wang Yongjia*, Li Qingfeng*, Guo Chenchen, Zhang Hongfei. Effects of the in-medium nucleon-nucleon cross section on collective flow and nuclear stopping in heavy-ion collisions in the Fermi-energy domain[J]. Physical Review C, 2018, 97: 044620.
