Huihui Li

Huihui Li

Deputy Director

Center of Crop Genes and Molecular Design

Institute of Crop Sciences

No.12 Zhongguancun South Street

Beijing, 100081, China

Tel:86-10-82106038

Fax:86-10-82106038

Email:lihuihui@caas.cn

Educations

l  Ph.D.: Biomathematics and quantitative genetics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, and Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing 100081, China (Jul. 2006 – Jun. 2009)

l  Visiting Scholar: The Buckler lab in Cornell University, U.S. (Sep. 2007 – Nov. 2008)

l  M.Sc.: Biomathematics and quantitative genetics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, and Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing 100081, China (Sep. 2004 – Jun. 2006)

l  B.Sc.: Mathematics, ShanXi Normal University, Linfen 041000, Shanxi, China (Sep. 2000 – Jul. 2004)

Working Experience

l  Jan. 2018 – now, Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

l  Jan. 2012.01 – Dec. 2017, Associate Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

l  Sep. 2009 – Dec. 2011, Assistant Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

Research Interests

l  Development of Gene Mining Algorithms and Applying in Plant Breeding

l  Development of Foundational Algorithm Models for Intelligent Design Breeding and Applying in Plant Breeding

l  Statistical Genomics, Statistical Genetics, QTL mapping and Genome-wide Association Studies

Academic Qualifications

l  "Shennong Young Talents" of the Ministry of Agriculture and Rural Affairs

l  "Agricultural Science Talents" (Leading Talents) of the Chinese Academy of Agricultural Sciences

Selected Publications (*corresponding authors)

[1]     Huihui Li*, Zhonghu He, 2021. Warming climate challenges breeding. Nature Plants, 7: 1164–1165.

[2]     Kelin Wang, Muhammad Ali Abid, Awais Rasheed, Jose Crossa, Sarah Hearne, Huihui Li*, 2023. DNNGP, a deep neural network-based method for genomic prediction using multiomics data in plants. Molecular Plant, 16(1):279-293.

[3]     Huihui Li*, Xin Li, Peng Zhang, Yingwei Feng, Junri Mi, Shang Gao, Lele Sheng, Mohsin Ali, Zikun Yang, Liang Li, Wei Fang, Wensheng Wang, Qian Qian, Fei Gu*, Wenbin Zhou, 2024. Smart Breeding Platform: a web-based tool for high-throughput population genetics, phenomics, and genomic selection. Molecular Plant, 17(5):677-681.

[4]     Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang, Awais Rasheed5, Sarah Hearne, Boddupalli Prasanna, Xinhai Li, Huihui Li*, 2024. Artificial intelligence in plant breeding. Trends in Genetics, 40(10):891-908.

[5]     Shoukun Chen, Tingting Du, Zhangping Huang, Kunhui He, Maogeng Yang, Shang Gao, Tingxi Yu, Hao Zhang, Xiang Li, Shihua Chen, Chun-Ming Liu, Huihui Li*, 2024. The Spartina alterniflora genome sequence provides insights into the salt tolerance mechanisms of exo-recretohalophytes. Plant Biotechnology Journal, 22(9):2558-2574.

[6]     Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li*, 2025. Leveraging automated machine learning for environmental data-driven genetic analysis and genomic prediction in Maize hybrids. Advanced Science, 12(17):e2412423.

[7]     Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li*, 2025. Unveiling salt tolerance mechanisms in plants: integrating the KANMB machine learning model with metabolomic and transcriptomic analysis. Advanced Science, 12(23):e2417560.

[8]     Xue-Feng Yao, Yanhong Liu, Zhiyong Li, Guo-Qiang Jiang, Wensheng Wang, Hong Lu, Huihui Li*, Zefu Lu*, Chun-Ming Liu*, 2025. Non-random distribution of EMS-induced mutations reveals preference for open chromatin and expressed genes in rice. Advanced Science, 13:e10034.

[9]     Shang Gao, Tingxi Yu, Awais Rasheed, Jiankang Wang, Jose Crossa, Sarah Hearne, Huihui Li*, 2025. Fast-forwarding Plant Breeding with Deep Learning-based Genomic Prediction. Journal of Integrative Plant Biology, 67(7):1700-1705.

[10]  Jingxin Wang, Liwei Liu, Kunhui He, Takele Weldu Gebrewahid, Shang Gao, Qingzhen Tian, Zhanyi Li, Yiqun Song, Yiliang Guo, Yanwei Li, Qinxin Cui, Luyan Zhang, Jiankang Wang, Changling Huang, Liang Li, Tingting Guo, Huihui Li*, 2025. Accurate genomic prediction for grain yield and grain moisture content of maize hybrids using multi‐environment data. Journal of Integrative Plant Biology, 67(5):1379-1394.