Shenghua Liu
Scholar

Shenghua Liu

Google Scholar ID: W8I9dyEAAAAJ
Institute of Computing Technology, Chinese Academy of Sciences
trustworthy foundation modelbig graph mininganomaly detectionrobust learning
Citations & Impact
All-time
Citations
2,186
 
H-index
22
 
i10-index
38
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Publications in IEEE TKDE, ACM TKDD, and proceedings of top-tier conferences such as AAAI, ICLR, ACL, CIKM, WSDM, ECML-PKDD. Some publications were recognized as ASP-DAC 2010 best paper candidate and ECML-PKDD 2020 best student DM paper award.
Research Experience
  • Professor at the Institute of Computing Technology, Chinese Academy of Sciences.
Education
  • Ph.D. degree from Tsinghua University's Computer Science & Technology Department in 2010, supervised by Prof. Xianlong Hong; Visiting Ph.D. student at the University of California, Los Angeles (UCLA) Electronic Engineering Department, 2006-2007, supervised by Prof. Lei He; Research Scholar at Carnegie Mellon University (CMU) Computer Science Department, 2016-2017, hosted and supervised by Prof. Christos Faloutsos.
Background
  • 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 interest in LLMs mainly focuses on trustworthy foundation models and graph LLMs, which scale the ability of LLMs to understand graphs.
Miscellany
  • Email: liushenghua at ict.ac.cn