Guangrun Wang DPhil

Dr. Wang is currently a Postdoctoral Researcher in the Department of Engineering Science at the University of Oxford, working with Prof. Philip H. S. Torr. Currently, his research interest is machine learning, trustworthy AI, self-supervised learning, and AutoML.

He has served in the Senior Program Committee of IJCAI 2021 and as a reviewer of ISPRS, T-PAMI, T-NNLS, Information Fusion, IPM, ICLR, ICML, NeurIPS, ACL, ICCV, CVPR, AAAI, IJCAI, EACL, EMNLP, NAACL, TIP, TCSVT, Pattern Recognition, WACV, ACCV, PRCV, DT, IEEE Access, ISPL, JVCIR, AAS, and so on.

machine learning, trustworthy AI, self-supervised learning, AutoML

1. Trustworthy ML. Trustworthy ML includes interpretable ML and robust ML.
2. Automated ML. AutoML might include supervised and unsupervised neural architecture search in CV/NLP/DM and hyper-parameter search.
3. Unsupervised ML. Unsupervised ML includes self-supervised learning.