
Kaize Shi
Assistant Professor @ University of Technology Sydney
abstract meaning representation
text style transfer
style detector
style rewriting
1
presentations
SHORT BIO
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He holds dual PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, decision support systems, and artificial intelligence technology. He serves as an academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also serves as a guest editor for the International Journal of Distributed Sensor Networks, and as a reviewer for the IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computational Social Systems, IEEE Internet of Things Journal, etc. He was also invited to participate in conferences as a PC member, including the ACL, SIGKDD, etc.
Presentations

AMR-TST: Abstract Meaning Representation-based Text Style Transfer
Kaize Shi and 5 other authors