Yongkai Wu
Scholar

Yongkai Wu

Google Scholar ID: sX6KTvwAAAAJ
Clemson University
Machine LearningData MiningCausal InferenceAlgorithmic FairnessAI Ethics
Citations & Impact
All-time
Citations
1,424
 
H-index
17
 
i10-index
24
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Published papers in leading conferences and journals including AAAI, ICLR, IJCAI, KDD, NeurIPS, WWW, and TKDE, and actively contributes to the AI community as a program committee member for prestigious conferences such as AAAI, ICML, ICLR, IJCAI, KDD, and NeurIPS.
Research Experience
  • Currently serving as an Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University, with prior research experience during his Ph.D. studies at the University of Arkansas.
Education
  • Ph.D. in Computer Science, University of Arkansas, 2020, Advisor: Dr. Xintao Wu; M.S. in Computer Science, University of Arkansas, 2018; Graduate Study in Electronic Engineering, Tsinghua University, 2015; B.Eng. in Electronic Engineering, Tsinghua University, 2014.
Background
  • Research Interests: Artificial Intelligence, Machine Learning, Data Mining, Causal Inference, Trustworthy and Responsible AI, AI for Sciences. Biography: Dr. Yongkai Wu is an Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University, focusing on advancing machine learning, data mining, and artificial intelligence.
Miscellany
  • Actively seeking highly self-motivated students with a strong commitment to research excellence.