Zhen Lei is affiliated with the Chinese Academy of Sciences in China and has a research focus spanning multiple interdisciplinary fields including Molecular Biology, Artificial Intelligence, Renewable Energy, and Immunology. Their work encompasses a significant number of publications in prominent venues and covers a diverse range of contemporary scientific topics.
The recent scholarly output includes papers such as "RETRACTED AND REPLACED: FGeneBERT: function-driven pre-trained gene language model for metagenomics" (2025, Briefings in Bioinformatics), "Distributed PV carrying capacity prediction and assessment for differentiated scenarios based on CNN-GRU deep learning" (2024, Frontiers in Energy Research), "GWQ: Gradient-Aware Weight Quantization for Large Language Models" (2024, arXiv (Cornell University)), "FIRM: Flexible Interactive Reflection reMoval" (2024, arXiv (Cornell University)), and "Cutting-Edge Biometrics Research: Selected Best Papers From IJCB 2023" (2024, IEEE Transactions on Biometrics Behavior and Identity Science).
Frequent coauthors collaborating with Zhen Lei include:
The main publication venues where Zhen Lei has contributed are:
Their primary subfields of study are molecular biology, artificial intelligence, renewable energy sustainability, electrical and electronic engineering, and immunology.
Research topics prominently addressed by Zhen Lei include:
Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li
Shifeng Zhang;Cheng Chi;Yongqiang Yao;Zhen Lei
Shifeng Zhang;Longyin Wen;Xiao Bian;Zhen Lei
Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li
Xiangyu Zhu;Zhen Lei;Xiaoming Liu;Hailin Shi
Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei
Shengcai Liao;Xiangxin Zhu;Zhen Lei;Lun Zhang
Longyin Wen;Dawei Du;Zhaowei Cai;Zhen Lei
Xiangyu Zhu;Zhen Lei;Junjie Yan;Dong Yi
Shifeng Zhang;Xiangyu Zhu;Zhen Lei;Hailin Shi
Jianwei Yang;Zhen Lei;Stan Z. Li
Shifeng Zhang;Longyin Wen;Xiao Bian;Zhen Lei
Xiangyu Zhu;Xiaoming Liu;Zhen Lei;Stan Z. Li
Jianzhu Guo;Xiangyu Zhu;Yang Yang;Fan Yang
Zhen Lei;Matti Pietikainen;Stan Z. Li
Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas
Bin Yang;Junjie Yan;Zhen Lei;Stan Z. Li
Bin Yang;Junjie Yan;Zhen Lei;Stan Z. Li
Junjie Yan;Zhen Lei;Longyin Wen;Stan Z. Li
Stan Z. Li;Dong Yi;Zhen Lei;Shengcai Liao
Shifeng Zhang;Xiangyu Zhu;Zhen Lei;Hailin Shi
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens up numerous flexible educational and career opportunities. Many students are now choosing online degree programs, valuing both accessibility and affordability. For those looking to enter the workforce quickly or seeking a strong foundational knowledge, an online associate's degree in computer science can be a smart first step.
Those aiming to advance their qualifications rapidly may want to consider the quickest masters degree online options. These programs can accelerate your learning and help you pivot or progress in your tech career in less time.
If your goal is to maximize your return on investment, it’s worth researching the most valuable masters degrees in today’s job market. Computer science consistently ranks as one of the most in-demand fields globally.
Concerned about expenses? There are plenty of affordable online courses and degree pathways that make studying computer science accessible for various budgets, without compromising on educational quality.
Kyung Hee University
University of Guelph
Imec
University of Vienna
Cleveland Clinic
The University of Texas at Austin
McGill University
University of California, Los Angeles
National Research Council (CNR)
University of Montpellier
University of Modena and Reggio Emilia
University of Wisconsin–Madison
University of Pennsylvania
University of Barcelona
University of Wisconsin–Madison
University of Genoa