Jianliang Xu is affiliated with Hong Kong Baptist University in China and has a research focus primarily in the fields of Computer Science and Engineering. Their scholarly work encompasses a range of subfields, including Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Control and Systems Engineering.
The scientist's research topics include Data Management and Algorithms, Graph Theory and Algorithms, Privacy-Preserving Technologies in Data, Advanced Graph Neural Networks, Complex Network Analysis Techniques, Peer-to-Peer Network Technologies, and Anomaly Detection Techniques and Applications.
Jianliang Xu has published extensively, with frequent contributions to a variety of publication venues. Notable venues where they have multiple publications include arXiv (Cornell University), Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the ACM on Management of Data, and IEEE Transactions on Mobile Computing.
Among recent papers, key works include:
Jianliang Xu has also contributed to book publications, including a volume published by Springer Science+Business Media, titled Database Systems for Advanced Applications. DASFAA 2021 International Workshops released in 2021.
Collaborative efforts feature frequent coauthors such as Byron Choi, Xin Huang, Sourav S. Bhowmick, Zhen Sui, and Huaijie Zhu, reflecting an extensive engagement within their research community.
Haibo Hu;Jianliang Xu;Dik Lun Lee
Haibo Hu;Jianliang Xu;Chushi Ren;Byron Choi
Dik Lun Lee;Jianliang Xu;Baihua Zheng;Wang-Chien Lee
Xiao Pan;Jianliang Xu;Xiaofeng Meng
Xiao Pan;Jianliang Xu;Xiaofeng Meng
Baihua Zheng;Jianliang Xu;D.L. Lee
X. Tang;J. Xu
M. Wu;J. Jianliang Xu;X. Xueyan Tang;W.-C. Wang-Chien Lee
Cheng Xu;Ce Zhang;Jianliang Xu
Jianliang Xu;Xueyan Tang;Wang-Chien Lee
Rui Chen;Qian Xiao;Yu Zhang;Jianliang Xu
Jiangchuan Liu;Jianliang Xu
Xueyan Tang;Jianliang Xu
Zhe Peng;Jianliang Xu;Xiaowen Chu;Shang Gao
Jianliang Xu;Xueyan Tang;Haibo Hu;Jing Du
Baihua Zheng;Jianliang Xu;Wang-Chien Lee;Lun Lee
Jianliang Xu;Qinglong Hu;Wang-Chien Lee;Dik Lun Lee
Jianliang Xu;Xueyan Tang;Dik Lun Lee
Jianliang Xu;Bo Li;Dik Lun Lee
Guozhong Li;Byron Choi;Jianliang Xu;Sourav S. Bhowmick
Yingqi Xu;Wang-Chien Lee;Jianliang Xu;G. Mitchell
Xiaojian Zhang;Rui Chen;Jianliang Xu;Xiaofeng Meng
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA offers access to various flexible online degree and certification options tailored for diverse career goals. For those seeking a rapid entry into the tech workforce, pursuing an associates degree online can be an effective way to build foundational skills in a short time.
Professionals looking to further boost their credentials might consider easy certifications that pay well, which can help improve employability and income potential without lengthy commitments.
If a more advanced qualification is your goal, exploring the shortest masters degree programs online can save both time and money, offering a fast track to specialized roles.
It’s also important to focus on the long-term value of your education. Researching masters degrees that are worth it can help you choose a program that matches current industry demands and hiring trends.
No matter your chosen path, these options provide different ways to launch or advance your tech career with flexibility and strong return on investment.
Université de Caen Normandie
Nara Institute of Science and Technology
University of Liverpool
Spanish National Research Council
Columbia University
Brandeis University
University of Pannonia
Rutgers, The State University of New Jersey
Agriculture and Agriculture-Food Canada
University of Michigan–Ann Arbor
University of Delaware
University of North Carolina at Chapel Hill
Google (United States)
Tsinghua University
University of North Carolina at Chapel Hill
Nanyang Technological University