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Associate Professor Jiajun Liu
Associate Professor

Jiajun Liu

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Overview

Background

Dr. Jiajun Liu is Principal Research Scientist and Science Leader for the Distributed Sensing Systems Group (DSSG) at the CSIRO, and leads the Distributed Intelligence team in the DSSG. He is also an Adjunct Associate Professor@UQ. He received his PhD/BEng from the University of Queensland, Australia, and Nanjing University, China, in 2013 and 2006, respectively.

His research interest covers a range of topics in Machine Learning and Data Science, including efficient neural nets, graph learning, and multimedia/multimodal analytics. At CSIRO he is looking into how to make sensing systems more intelligent and efficient, by developing knowledge distillation and efficient neural architectures to enable efficient AI models on edge devices and distributed sensing applications.

He also serves as a reviewer/TPC member/Area Chair for numerous international journals and conferences, such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, IEEE Transactions on Multimedia, IEEE Transactions on Big Data, Clustering Computing, Ad Hoc Networks, Neurocomputing, Multimedia Systems, ACM Multimedia Conference 14' 21', CIKM 21', PAKDD 17~20', APWeb 16', etc.

Availability

Associate Professor Jiajun Liu is:
Available for supervision

Works

Search Professor Jiajun Liu’s works on UQ eSpace

81 works between 2011 and 2026

81 - 81 of 81 works

2011

Conference Publication

Effective data co-reduction for multimedia similarity search

Huang, Zi, Shen, Heng Tao, Liu, Jiajun and Zhou, Xiaofang (2011). Effective data co-reduction for multimedia similarity search. 2011 ACM SIGMOD/PODS Conference, Athens, Greece, 12-16 June 2011. New York, United States: ACM (Association for Computing Machinery) Press. doi: 10.1145/1989323.1989430

Effective data co-reduction for multimedia similarity search

Supervision

Availability

Associate Professor Jiajun Liu is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

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