Shenghua Liu

I am a Professor at Institute of Computing Technology, Chinese Academy of Sciences. My research interests include trustworthy foundation model and big graph mining with applications in scientific deep research, anomaly detection, and various real-world networked systems ranging from academic collaborations, supply chain, financial transactions and biological networks. The arising of LLMs drives most of the interests to trustworthy foundation models, and graph LLMs which scale LLM the ability to understand graphs, to think and model with graphs. Believing that with graph LLMs, real-world problems with complex correlations and connections can be well and trustworthily solved.

The featured works are published on IEEE TKDE, ACM TKDD, and proceedings of top-tier conferences such as AAAI, ICLR, ACL, CIKM, WSDM, ECML-PKDD, etc. Some of the publications are recognized as ASP-DAC 2010 best paper candidate, ECML-PKDD 2020 best student DM paper award.

My educational and visiting experience:

• Ph.D. degree from Computer Science & Technology Department, Tsinghua University in 2010, supervised by Prof. Xianlong Hong, an honorable professor in electronic design automation (EDA).

• Visiting Ph.D. student at electronic engineering department, university of california, los angeles (ucla), which was hosted and supervised by Prof. Lei He, 2006-2007, and in consequence I am listed as one of the Alumni in Academia of Electrical & Computer Engineering, UCLA.

• Research Scholar at Computer Science Department, Carnegie Mellon University (CMU), which was hosted and supervised by Prof. Christos Faloutsos, 2016-2017.