Enhong Chen is affiliated with the University of Science and Technology of China in China and has contributed extensively to the field of Computer Science, with a focus on Artificial Intelligence. Their research spans multiple subfields and specialized topics within the discipline.
The main areas of study covered in their work include Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Molecular Biology. Within these subfields, their research topics emphasize:
Their recent papers reflect an engagement with diverse aspects of large language models, intelligent education systems, recommendation systems, and privacy protection in location-based services. Selected recent publications include:
Enhong Chen collaborates frequently with several coauthors, including Tong Xu, Defu Lian, Zhenya Huang, and both individuals named Qi Liu. These collaborations have resulted in a significant volume of published work.
Their work has appeared in prominent publication venues such as:
Enhong Chen has also contributed to academic books published by Springer Science+Business Media, including titles such as "Big Data" (2022 and 2023 editions) and multiple editions of "Advances in Knowledge Discovery and Data Mining" (2022), which collectively have received academic citations.
Junyuan Xie;Linli Xu;Enhong Chen
Yi Zheng;Qi Liu;Enhong Chen;Yong Ge
Fei Tian;Bin Gao;Qing Cui;Enhong Chen
Defu Lian;Cong Zhao;Xing Xie;Guangzhong Sun
Huanhuan Cao;Daxin Jiang;Jian Pei;Qi He
Renqian Luo;Fei Tian;Tao Qin;Enhong Chen
Qi Liu;Zhenya Huang;Yu Yin;Enhong Chen
Raymond Cheng;Ji Hong;Aapo Kyrola;Youshan Miao
Qi Liu;Enhong Chen;Hui Xiong;C. H. Q. Ding
Yi Zheng;Qi Liu;Enhong Chen;Yong Ge
Bojie Li;Kun Tan;Layong (Larry) Luo;Yanqing Peng
Qi Liu;Yong Ge;Zhongmou Li;Enhong Chen
Yu Su;Qingwen Liu;Qi Liu;Zhenya Huang
Fei Wang;Qi Liu;Enhong Chen;Zhenya Huang
Bojie Li;Zhenyuan Ruan;Wencong Xiao;Yuanwei Lu
Huanhuan Cao;Derek Hao Hu;Dou Shen;Daxin Jiang
Wentao Han;Youshan Miao;Kaiwei Li;Ming Wu
Defu Lian;Yongji Wu;Yong Ge;Xing Xie
Qi Liu;Shiwei Tong;Chuanren Liu;Hongke Zhao
Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen
Biao Xiang;Daxin Jiang;Jian Pei;Xiaohui Sun
Yong Ge;Qi Liu;Enhong Chen;J. Leon Zhao
If you think any of the details on this page are incorrect, let us know.
Exploring online education in Computer Science opens up many flexible and rewarding opportunities. For students seeking to manage costs while earning a quality degree, there are many affordable online degree programs available from accredited U.S. institutions. This makes it easier to access quality education without facing overwhelming debt.
Worried about your academic history? Don’t be. Several universities for low gpa accept students who may not have a perfect academic record, increasing your chances of admission to reputable online programs.
Computer Science is not the only lucrative choice—you might also wish to explore related fields. For example, there are high-paying jobs with environmental science degree credentials, which blend technology and sustainability.
If you’re interested in fast-tracking your career, consider one of the computer science accelerated program options. These programs let you earn your degree at a faster pace—helping you enter the workforce sooner and start building your future.
Sichuan University
University of Adelaide
Apple (United States)
Google (United States)
University of Zurich
Tsinghua University
Osaka University
University of Potsdam
North Carolina State University
University of Barcelona
Victoria University
University of Newcastle Australia
Chinese University of Hong Kong
University of Michigan–Ann Arbor
University of Connecticut
University of Melbourne
