Lei Chen is affiliated with the Hong Kong University of Science and Technology in China. Their research contributions span across multiple domains within computer science, with a particular focus on artificial intelligence and related fields.
The primary fields of study associated with Lei Chen encompass Computer Science, with a prolific number of publications within subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, and Electrical and Electronic Engineering.
The topics that feature prominently in Lei Chen's work include Advanced Graph Neural Networks, Graph Theory and Algorithms, Complex Network Analysis Techniques, Recommender Systems and Techniques, Privacy-Preserving Technologies in Data, Topic Modeling, and Data Management and Algorithms.
Lei Chen has co-authored extensively with researchers including Yanyan Shen, Yingxia Shao, Peng Cheng, Yuxiang Zeng, and Bin Cui.
Publication venues that frequently host Lei Chen's work include:
Recent papers authored or co-authored by Lei Chen are:
Lei Chen has made contributions to book publishing as well, with a book titled Integrity Constraints on Rich Data Types published by Morgan & Claypool Publishers in 2023.
The scientist has received professional recognition, including the IEEE Fellow award in 2020 for contributions to time series management and spatial crowdsourcing. Additionally, they were honored as an ACM Distinguished Member in 2018.
Lei Chen;M. Tamer Özsu;Vincent Oria
Lei Chen;Raymond Ng
Lei Zou;Lei Chen;M. Tamer Özsu
Lei Chen;Cristofer Englund
Yexin Li;Yu Zheng;Huichu Zhang;Lei Chen
Yongxin Tong;Jieying She;Bolin Ding;Libin Wang
Lei Zou;Jinghui Mo;Lei Chen;M. Tamer Özsu
Na Liu;Nian Yong Chen;Rui Xue Cui;Wen Fei Li
Xiangmin Zhou;Lei Chen
Xiang Lian;Lei Chen
Yongxin Tong;Yuqiang Chen;Zimu Zhou;Lei Chen
Yunhao Liu;Yiyang Zhao;Lei Chen;Jian Pei
Yongxin Tong;Zimu Zhou;Yuxiang Zeng;Lei Chen
Wenwei Xue;Qiong Luo;Lei Chen;Yunhao Liu
Xinglin Zhang;Zheng Yang;Zimu Zhou;Haibin Cai
Lei Zou;Lei Chen;M. Tamer Özsu
Wuman Luo;Haoyu Tan;Lei Chen;Lionel M. Ni
Jun Xu;Junmei Yao;Lu Wang;Zhong Ming
Lei Zou;M. Tamer Özsu;Lei Chen;Xuchuan Shen
Yongxin Tong;Jieying She;Bolin Ding;Lei Chen
Xiao-Hui Li;Caleb Chen Cao;Yuhan Shi;Wei Bai
Leyla Kazemi;Cyrus Shahabi;Lei Chen
If you think any of the details on this page are incorrect, let us know.
Exploring online education in computer science opens diverse opportunities for students with different backgrounds and goals. Depending on your current education level or career ambitions, the right pathway can help you efficiently build valuable skills and improve your job prospects.
For those seeking flexible entry into the field, many online associate degree programs deliver foundational knowledge and may lead directly to entry-level roles or transferrable credits for further study. If affordability is a significant concern, there are plenty of options among the most affordable online colleges, making quality education more accessible.
Individuals interested in further specialization or leadership roles may want to consider master’s programs. Some of the most useful graduate degrees in STEM and computer science are in high demand by employers, often leading to excellent career advancement and earning potential. Additionally, non-traditional applicants can find flexible learning options through online graduate programs that accept 2.0 gpa, ensuring access to further education even with lower undergraduate GPAs.
Agricultural University of Athens
Lanzhou University
Ferdinand-Braun-Institut
Institut des Nanotechnologies de Lyon
The Ohio State University
Observatoire de la Côte d’Azur
University of Lille
University of California, San Francisco
Emory University
Woods Hole Oceanographic Institution
University of Lausanne
University of Oxford
Aalto University
Southwest Petroleum University
University of Gothenburg
University of Nevada Reno