Biography:

Assoc. Prof. XIE Haoran is an Associate Professor at Department of Computing and Decision Sciences at Lingnan University, Hong Kong. He is the Editor-in-Chief of Natural Language Processing Journal (Elsevier), Computers & Education: Artificial Intelligence (Elsevier), and Computers & Education: X Reality (Elsevier), the Associate Editor of International Journal of Machine Learning and Cybernetics (Springer), Array (Elseiver), International Journal of Mobile Learning and Organisation (InderScience), and Australasian Journal of Educational Technology (ASCILITE), Topic Editor of Applied Sciences (MDPI), Academic Editor of PLoS One (PLOS) and Education Research International (Hindawi). He has totally published 309 research publications including 162 journal articles (57 papers as first or corresponding author), 6 edited books, 61 book chapters, 76 conference proceedings and 4 patents. Among all 162 journal articles, there are 131 SCI/SSCI indexed, 17 Scopus indexed, and 4 EI indexed. Some journals like IEEE TPAMI, IEEE TKDE, IEEE TCYB, IEEE TAC, IEEE Intelligent Systems, IEEE Multimedia, Information Sciences, Neural Networks, Neurocomputing, Knowledge-Based Systems, Expert Systems with Applications, Computers & Education, British Journal of Educational Technology, Educational Technology & Society, Interactive Learning Environments are top-tier journals in the related fields. Among all 61 book chapters and 76 conference proceedings, there are many papers from top-tier conferences like AAAI, IJCAI, CVPR, ICCV, ACL, EMNLP, WWW, CIKM, DASFAA, etc. He has served as 19 guest editors in special issues of journals, editors of 6 books, organization committee chairs/members of more than 57 conferences, and reviewers of 40 international journals. Till Oct 2022, his totally Google Scholar citation counts is 9250, h-index is 38, and i-10 index is 102 at Google Scholar. One of his work about Least squares generative adversarial networks (LSGAN) which has received more than 2000 citations ins Google Scholar, published in ICCV 2017 and TPAMI 2019, included by computer science courses of Stanford University and National Taiwan University, and implemented by Google TensorFlow.