个人简介：
李玉强博士，上海人工智能实验室 Al for Science 中心青年科学家、物质科学团队负责人，上海创智学院全时导师，复旦大学计算与智能创新学院兼职博士生导师，担任科学通报、Sci. Bull.、Chin. Chem. Lett.等期刊青年编委。主要从事Al for 化学、材料学、谱学研究，在上海AI实验室领导开发了ChemLLM化学大语言模型及CrystalX晶体结构解析模型。以通讯作者在Nat. Catal.、JACS、Angew、ICLR、CVPR、ACL、AAAI、KDD等化学类顶级期刊和人工智能A类会议发表论文20余篇。获得上海市东方英才计划资助，承担新一代人工智能国家科技重大专项课题。
教育经历：
- 2012.9-2016.6 中南大学 应用化学专业
- 2016.9-2021.6 武汉大学 化学专业
工作经历：
- 2026.4-至今 复旦大学计算与智能创新学院兼职博士生导师
- 2024.9-至今 上海创智学院全时导师
- 2024.9-至今 上海人工智能实验室 AI for Science中心 青年科学家
- 2022.9-2024.9 上海人工智能实验室 AI for Science 青年研究员
- 2021.9-2022.9 中南大学 化学化工学院 讲师
学术兼职：
- 2026.3 -2027.3 科学通报 & Science Bulletin 青年编委
- 2025.1-2026.12 Chinese Chemical Letters 青年编委
- 2025.1-2027.12 MGE Advances 青年编委
研究兴趣：
- 理论与计算化学
- AI for 化学、材料学、谱学
- 大模型驱动的化学研究、科学智能体
重要成果发布:
6. AI for 单晶石墨：上海AI实验室、苏州国家实验室、清华大学联合团队制备大面积单晶石墨，200微米厚度刷新世界纪录 | AGI4S进行时。https://mp.weixin.qq.com/s/Zbws91lDY4F7g2iI2mKNaA （新民晚报报道）
5. AI for 光刻胶：打破“技术黑箱”，上海AI实验室联合团队攻克芯片核心材料光刻胶稳定制备难题 | AGI4S进行时。https://mp.weixin.qq.com/s/oEPkcWoIKakfjEoUSblvrg （解放日报民报道）
4. CrystalX：上海AI实验室开源全自动晶体解析模型书生·晶析CrystalX，秒级破译微观分子密码。https://mp.weixin.qq.com/s/SGuEjCfGu8pwZfi9PgYCCQ|https://news.tongji.edu.cn/info/1003/91744.htm
3. ChemBOMAS：成果8：化学反应优化多智能体ChemBOMAS。 https://mp.weixin.qq.com/s/dTyzBfUIHLfTQ9tf8y647g
2. ChemMLLM：让化学大模型不只“看懂”化学，还能“书写”化学。https://mp.weixin.qq.com/s/XE446T5dCzl-bmJd7SQMvw
1. ChemLLM：上海AI实验室开源发布科学大模型“浦科化学”。https://mp.weixin.qq.com/s/u-i7lQxJzrytipek4a87fw
社会活动:
12. 清华大学电子工程系做邀请报告（2026年5月28号）《大模型时代的物质科学研究》；
11. 第二十届全国环境博士生学术会议暨2026亚洲大学联盟研究生学术论坛做主旨报告（2026年5月27号）《大模型时代的物质科学研究》。
10. 在上海市委党校参加第三期首席科学家领导力培训班（2026年5月26日）。https://mp.weixin.qq.com/s/F56vtX2XUoIDn-8wUtQBhg
9. 东南大学做学术报告“大模型驱动的物质科学研究”（2026年4月30号）。并担任博士生毕业答辩委员会评审专家。https://physics.seu.edu.cn/2026/0418/c23226a563622/page.htm
8. 第二届浦江AI学术年会（2026年3月29-30日）担任"专题论坛六 | AGI for Physical Sciences: 智化前沿论坛"执行主席。https://www.shlab.org.cn/news/5444240|https://mp.weixin.qq.com/s/V6r5kIXmYRcxxH_5ifxSYg
7. "产研协同 智启未来"科学智能"百团百项"工程产研共创沙龙（2026年2月3日，上海）：作为光刻胶平行研讨组组长主持光刻胶国产化路径的关键科学问题和技术瓶颈。https://mp.weixin.qq.com/s/hVdmqo1RYZ6wDnq1FhKRCw
6. 中国人工智能产业发展联盟AIIA召开AI4S工作组工作会（2025年4月4日）：以《AI for Science的应用和挑战》做主题演讲https://mp.weixin.qq.com/s/r-gaKd_qVY0AlMPc1dvBkA
5. 上海高桥中学“人工智能的发展与技术演进”专题讲座（2025年3月20日）：作为主讲人面向全校教职工介绍人工智能技术的前沿进展https://mp.weixin.qq.com/s/lg1gUEWwQQDIhSK_j0cTYQ
4. 在上海市委党校参加《第11期青年英才研修班》（2024年10月14日）。
3. 国家自然科学基金委第374期双清论坛作邀请报告（2024年8月30号）《化学大模型的构建及在谱学研究中的应用》
2. 华东师范大学“化学大语言模型的进展和潜力”校级报告（2024年6月18日）：作为主讲人介绍ChemLLM系列模型研究进展。https://eoffice.ecnu.edu.cn/sublectures/3e/08/c42304a605704/page.htm
1. 化学加“六摩尔论坛”第36期直播（2024年2月28日）：以“AI for Chemistry”分享嘉宾身份参与，与江俊、廖矿标等同台讨论AI在化学中的应用。https://mp.weixin.qq.com/s/CtOXOPcVkzFkEsFccZjqhw
Publictions:
27. SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy. Zhuo Yang‡, Jiaqing Xie‡, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Shufei Zhang, Qinying Gu, Linjiang Chen, Jun Jiang*, Tianfan Fu*, Yuqiang Li*. KDD (2026). https://doi.org/10.48550/arXiv.2508.01188.
26. NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers. Liujia Yang‡, Zhuo Yang‡, Jiaqing Xie‡, Yubin Wang‡, Ben Gao, Xingjian Wei, Jiaxing Sun, Jiang Wu*, Conghui He*, Yuqiang Li*, Qinying Gu*. KDD (2026). https://doi.org/10.48550/arXiv.2602.10158.
25. Chem-R: Learning to Reason as a Chemist. Weida Wang‡, Benteng Chen‡, Di Zhang‡, Wanhao Liu, Shuchen Pu, Ben Gao, Jin Zeng, Xiaoyong Wei, Tianshu Yu, Shuzhou Sun, Tianfan Fu, Wanli Ouyang, Lei Bai, Jiatong Li*, Zifu Wang*, Yuqiang Li*, Shufei Zhang*. KDD (2026). https://doi.org/10.48550/arXiv.2510.16880.
24. Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery. Xinzhe Yuan‡, Zhuo Chen‡, Jianshu Zhang, Huan Xiong*, Nanyang Ye*, Yuqiang Li*, Qinying Gu*. ICLR (2026). https://doi.org/10.48550/arXiv.2605.17976.
23. MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts. Jiatong Li, Yunqing Liu, Wei Liu, Jingdi Lei, Di Zhang, Wenqi Fan*, Dongzhan Zhou*, Yuqiang Li*, Qing Li*. IEEE Trans. Knowl. Data Eng. (2026). https://doi.org/10.1109/TKDE.2026.3689445.
22. Developing ChemMLLM as a multimodal large language model for chemistry. Qian Tan, Di Zhang, Ben Gao, Peng Xia, Wanhao Liu, Shufei Zhang, Wanli Ouyang, Lei Bai, Yuqiang Li*, Tianfan Fu*. Cell Reports Physical Science (2026). https://doi.org/10.1016/j.xcrp.2026.103310.
21. CrystalX: High-Accuracy Crystal Structure Analysis Using Deep Learning. Kaipeng Zheng, Weiran Huang*, Wanli Ouyang, Han-Sen Zhong*, Yuqiang Li*. J. Am. Chem. Soc. (2026). https://doi.org/10.1021/jacs.5c21832.
20. LoRA-Chem: Modular Machine Learning for Multitask Prediction in Organic Reactions. Ben Gao‡, Penghui Li‡, Di Zhang‡, Qian Tan, Wanhao Liu, Xunzhi Wang, JunXian Li, Shufei Zhang, Dongzhan Zhou*, Yuqiang Li*, Guoyin Yin*. CCS Chem. (2025). https://doi.org/10.31635/ccschem.025.202506542.
19. QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry. Jiaqing Xie‡, Weida Wang‡, Ben Gao‡, Zhuo Yang, Haiyuan Wan, Shufei Zhang, Tianfan Fu, Yuqiang Li*. J. Chem. Inf. Model. (2025). https://doi.org/10.1021/acs.jcim.5c02033.
18. 基于本体工程的大语言模型驱动化工研究范式革新. 何福鹏, 顾紫怡, 顾欣颖, 齐弼卿, 白磊, 周天航*, 李玉强*, 徐春明. 科学通报 (2025). https://doi.org/10.1360/CSB-2025-5792.
17. Large Language Models are In-Context Molecule Learners. Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li. IEEE Trans. Knowledge Data Eng. (2025). https://doi.org/10.1109/TKDE.2025.3557697.
16. ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. Junxian Li‡, Di Zhang‡, Xunzhi Wang‡, Zeying Hao‡, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li*, Dongzhan Zhou*. AAAI (2025). https://doi.org/10.1609/aaai.v39i1.32020.
15. LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. Di Zhang‡, Jianbo Wu‡, Jingdi Lei‡, Tong Che‡, Jiatong Li‡, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li*, Wanli Ouyang, Dongzhan Zhou*. NAACL (2025). https://doi.org/10.18653/v1/2025.naacl-long.375.
14. Enantioselective Directed Nickel-Catalyzed Three-Component Reductive Arylalkylation of Alkenes via the Carbometalation/Radical Cross-Coupling Sequence. Zhan Dong, Changyu Xu, Jianchao Chang, Sitian Zhou, Peipei Sun, Yuqiang Li*, Liang-An Chen*. ACS Catal. (2024). https://doi.org/10.1021/acscatal.4c00477.
13. ChemLLM: A Chemical Large Language Model. Di Zhang‡, Wei Liu‡, Qian Tan‡, Jingdan Chen‡, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Wanli Ouyang, Dongzhan Zhou*, Shufei Zhang*, Mao Su*, Han-Sen Zhong*, Yuqiang Li*. arXiv (2024). https://doi.org/10.48550/arXiv.2402.06852.
12. Photocatalytic vinyl radical-mediated multicomponent 1,4-/1,8-carboimination across alkynes and olefins/(hetero)arenes. Shan-Shan Li‡, Yu-Shi Jiang‡(equal contribution), Xue-Ling Luo, Xuming Ran, Yuqiang Li,*, Dong Wu, Cheng-Xue Pan, Peng-Ju Xia*. Sci. China Chem. (2023). https://doi.org/10.1007/s11426-023-1812-x.
11. Dong Wu, Weiyu Kong, Yang Bao, Dengyang Zhao, Yuqiang Li*, Guoyin Yin*. Alkene 1,1-difunctionalizations via organometallic-radical relay. Nature Catalysis (2023). https://doi.org/10.1038/s41929-023-01032-0.
10. Weiyu Kong Yang Bao, Liguo Lu, Zhipeng Han, Yifan Zhong, Ran Zhang, Yuqiang Li*, Guoyin Yin*. Base-Modulated 1,3-Regio- and Stereoselective Carboboration of Cyclohexenes. Angew. Chem. Int. Ed. 2023, e202308041.
9. Zheqi Li, Hongjin Shi, Xueying Chen, Long Peng, Yuqiang Li*, Guoyin Yin*. Nickel-Catalyzed Regio- and Enantioselective Borylative Coupling of Terminal Alkenes with Alkyl Halides Enabled by an Anionic Bisoxazoline Ligand. J. Am. Chem. Soc. 2023, 145, 25, 13603–13614 (Cover Paper).
8. Caocao Sun, Chao Ding, Yue Yu, Yuqiang Li*, Guoyin Yin*. Ligand-Modulated Regiodivergent Alkenylboration of Allylarenes: Reaction Development and Mechanistic Study. Fundamental Research (2023) https://doi.org/10.1016/j.fmre.2023.03.016.
7. Pan Zhou, Yuqiang Li*, and Tao XU*. Molybdenum-Catalyzed Cross-Coupling of Benzyl Alcohols: Direct C–OH Bond Transformation via [2+2]-Type Addition and Elimination. Org. Lett. 2022, 24, 23, 4218–4223.
6. Yangyang Li, Yuqiang Li, Hongjin Shi, Hong Wei, Haoyang Li, Ignacio Funes-Ardoiz*, Guoyin Yin*. Modular access to substituted cyclohexanes with kinetic stereocontrol. Science 2022, 376, 749–753.
5. Hepan Wang, Purui Zheng, Xiaoqiang Wu, Yuqiang Li*, Tao XU*. Modular and Facile Access to Chiral α‑Aryl Phosphates via Dual Nickel- and Photoredox-Catalyzed Reductive Cross-Coupling. J. Am. Chem. Soc. 2022, 144, 3989−3997.
4. Yuqiang Li*, Guoyin Yin*. Bathocuproine-Enabled Nickel-Catalyzed Selective Ullmann CrossCoupling of Two sp2-Hybridized Organohalides. Synlett 2021, 32, 1657–1661.
3. Yuqiang Li, Dong Wu, Hong-Gang Cheng*, Guoyin Yin*. Difunctionalization of Alkenes Involving Metal Migration. Angew. Chem. Int. Ed. 2020, 59, 7990 – 8003.
2. Yuqiang Li, Yixin Luo, Long Peng, Yangyang Li, Binzhi Zhao, Wang Wang, Hailiang Pang, Yi Deng, Ruopeng Bai, Yu Lan*, Guoyin Yin*. Reaction scope and mechanistic insights of nickel-catalyzed migratory Suzuki–Miyaura cross-coupling. Nature Communications 2020, 11, 47-429.
1. Long Peng,‡ Yuqiang Li‡ (equal contribution), Yangyang Li, Wang Wang, Hailiang Pang Guoyin Yin*. Ligand-Controlled Nickel-Catalyzed Reductive Relay Cross-Coupling of Alkyl Bromides and Aryl Bromides. ACS Catal. 2018, 8, 310−313.
毕业生：
2. 恭喜马炜杰同学顺利博士毕业。
1. 恭喜陈烨赟同学顺利博士毕业。
上线了提供技术支持