Jiliang Tang is a researcher affiliated with Michigan State University in the United States, specializing in computer science with a focus on artificial intelligence. Their scholarly work spans several subfields including information systems, computer vision and pattern recognition, molecular biology, and statistical and nonlinear physics.
Their primary research topics include advanced graph neural networks, topic modeling, recommender systems and techniques, natural language processing techniques, adversarial robustness in machine learning, anomaly detection techniques and applications, and complex network analysis techniques.
Jiliang Tang's recent publications include:
They have frequently published in venues such as:
Jiliang Tang's frequent coauthors include Yao Ma, Wei Jin, Xiaorui Liu, Zitao Liu, and Wenqi Fan.
They have contributed to book publications, including a title published by Cambridge University Press called Deep Learning on Graphs (2021).
Kai Shu;Amy Sliva;Suhang Wang;Jiliang Tang
Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter
Wenqi Fan;Yao Ma;Qing Li;Yuan He
Jiliang Tang;Salem Alelyani;Huan Liu
Unknown
Hongshen Chen;Xiaorui Liu;Dawei Yin;Jiliang Tang
Shiyu Chang;Wei Han;Jiliang Tang;Guo-Jun Qi
Jiliang Tang;Xia Hu;Huan Liu
Wei Jin;Yao Ma;Xiaorui Liu;Xianfeng Tang
Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu
Han Xu;Yao Ma;Hao-Chen Liu;Debayan Deb
Xiaoyang Wang;Yao Ma;Yiqi Wang;Wei Jin
Xia Hu;Jiliang Tang;Huiji Gao;Huan Liu
Xia Hu;Lei Tang;Jiliang Tang;Huan Liu
Hao Yuan;Jiliang Tang;Xia Hu;Shuiwang Ji
Salem Alelyani;Jiliang Tang;Huan Liu
Christina B. Azodi;Christina B. Azodi;Jiliang Tang;Shin-Han Shiu
Xiangyu Zhao;Long Xia;Liang Zhang;Zhuoye Ding
Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Long Xia
Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu
Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang
Jiliang Tang;Huiji Gao;Xia Hu;Huan Liu
Huiji Gao;Jiliang Tang;Huan Liu
Jiliang Tang;Huiji Gao;Huan Liu
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to flexible learning—and a variety of online degree pathways to start or advance your tech career. If you're looking for a quicker route, consider enrolling in one of the shortest online masters degree programs. These options can help you earn your credentials faster and get into the workforce sooner.
For career-driven learners, it’s important to choose one of the most useful graduate degrees—particularly those in fields like computer science, artificial intelligence, or data analytics. These programs are in high demand and can provide a strong return on your educational investment.
If you’re just starting your journey, consider an associate's degree online in computer science or IT. These programs offer foundational skills and are a cost-effective way to begin.
Cost is always a factor—so choosing from affordable online degree programs ensures you can achieve your academic and career goals without excessive debt.
University of Oxford
Tsinghua University
Charité - University Medicine Berlin
Plymouth Marine Laboratory
Antoni van Leeuwenhoek Hospital
Wageningen University & Research
National Institutes of Health
Kyoto University
Tongji University
MIT
Sandia National Laboratories
University of Cincinnati
Federal Reserve Bank of St. Louis
Vanderbilt University Medical Center
University of Hong Kong
Jordan University of Science and Technology