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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

76 works between 2011 and 2026

41 - 60 of 76 works

2022

Conference Publication

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

Patel, Vatsal, Rajasegarar, Sutharshan, Pan, Lei, Liu, Jiajun and Zhu, Liming (2022). EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-22064-7_32

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

2021

Conference Publication

PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling

Ma, Junhua, Li, Jiajun, Li, Xueming and Li, Xu (2021). PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling. 28th International Conference on Neural Information Processing ICONIP 2021, Bali, Indonesia, 8–12 December 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-92270-2_10

PathSAGE: Spatial Graph Attention Neural Networks with Random Path Sampling

2021

Journal Article

Pyramid regional graph representation learning for content-based video retrieval

Zhao, Guoping, Zhang, Mingyu, Li, Yaxian, Liu, Jiajun, Zhang, Bingqing and Wen, Ji-Rong (2021). Pyramid regional graph representation learning for content-based video retrieval. Information Processing and Management, 58 (3) 102488, 3. doi: 10.1016/j.ipm.2020.102488

Pyramid regional graph representation learning for content-based video retrieval

2021

Journal Article

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data

Haque, Kazi Nazmul, Rana, Rajib, Liu, Jiajun, Hansen, John, Cummins, Nicholas, Busso, Carlos and Schuller, Bjorn (2021). Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. IEEE/ACM Transactions on Audio Speech and Language Processing, 29 9492807, 2575-2590. doi: 10.1109/TASLP.2021.3098764

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data

2020

Journal Article

Geosocial Co-Clustering

Kim, Jungeun, Lee, Jae-Gil, Lee, Byung Suk and Liu, Jiajun (2020). Geosocial Co-Clustering. ACM Transactions on Intelligent Systems and Technology, 11 (4) 3391708, 4. doi: 10.1145/3391708

Geosocial Co-Clustering

2020

Journal Article

Energy- And Mobility-Aware Scheduling for Perpetual Trajectory Tracking

Sommer, Philipp, Geissdoerfer, Kai, Jurdak, Raja, Kusy, Branislav, Liu, Jiajun, Zhao, Kun, Mckeown, Adam and Westcott, David (2020). Energy- And Mobility-Aware Scheduling for Perpetual Trajectory Tracking. IEEE Transactions on Mobile Computing, 19 (3) 8634931, 566-580. doi: 10.1109/TMC.2019.2895336

Energy- And Mobility-Aware Scheduling for Perpetual Trajectory Tracking

2020

Journal Article

Real-time Interactive Analysis on Big Data 大数据实时交互式分析

Yuan, Zhe, Wen, Ji-Rong, Wei, Zhe-Wei, Liu, Jia-Jun, Yao, Bin and Zheng, Kai (2020). Real-time Interactive Analysis on Big Data 大数据实时交互式分析. Ruan Jian Xue Bao/Journal of Software, 31 (1), 162-182. doi: 10.13328/j.cnki.jos.005886

Real-time Interactive Analysis on Big Data 大数据实时交互式分析

2019

Conference Publication

RUM: Network representation learning using motifs

Yu, Yanlei, Lu, Zhiwu, Liu, Jiajun, Zhao, Guoping and Wen, Ji-Rong (2019). RUM: Network representation learning using motifs. IEEE Computer Society. doi: 10.1109/ICDE.2019.00125

RUM: Network representation learning using motifs

2018

Conference Publication

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images

Zhao, Guoping, Liu, Jiajun, Jiang, Jiacheng, Guan, Hua and Wen, Ji-Rong (2018). Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICPR.2018.8546199

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images

2018

Journal Article

A deep cascade of neural networks for image inpainting, deblurring and denoising

Zhao, Guoping, Liu, Jiajun, Jiang, Jiacheng and Wang, Weiying (2018). A deep cascade of neural networks for image inpainting, deblurring and denoising. Multimedia Tools and Applications, 77 (22), 29589-29604. doi: 10.1007/s11042-017-5320-7

A deep cascade of neural networks for image inpainting, deblurring and denoising

2018

Conference Publication

Improving Person Re-identification by Body Parts Segmentation Generated by GAN

Zhao, Guoping, Jiang, Jiacheng, Liu, Jiajun, Yu, Yanlei and Wen, Ji-Rong (2018). Improving Person Re-identification by Body Parts Segmentation Generated by GAN. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/IJCNN.2018.8489450

Improving Person Re-identification by Body Parts Segmentation Generated by GAN

2018

Journal Article

Nationalism on Weibo: Towards a Multifaceted Understanding of Chinese Nationalism

Zhang, Yinxian, Liu, Jiajun and Wen, Ji-Rong (2018). Nationalism on Weibo: Towards a Multifaceted Understanding of Chinese Nationalism. China Quarterly, 235, 758-783. doi: 10.1017/S0305741018000863

Nationalism on Weibo: Towards a Multifaceted Understanding of Chinese Nationalism

2017

Journal Article

Learning in high-dimensional multimedia data: the state of the art

Gao, Lianli, Song, Jingkuan, Liu, Xingyi, Shao, Junming, Liu, Jiajun and Shao, Jie (2017). Learning in high-dimensional multimedia data: the state of the art. Multimedia Systems, 23 (3), 303-313. doi: 10.1007/s00530-015-0494-1

Learning in high-dimensional multimedia data: the state of the art

2017

Conference Publication

A Novel Framework for Online Sales Burst Prediction

Chen, Rui and Liu, Jiajun (2017). A Novel Framework for Online Sales Burst Prediction. Springer Verlag. doi: 10.1007/978-3-319-71273-4_1

A Novel Framework for Online Sales Burst Prediction

2016

Journal Article

Prediction-based Unobstructed Route Planning

Shang, Shuo, Guo, Danhuai, Liu, Jiajun and Wen, Ji-Rong (2016). Prediction-based Unobstructed Route Planning. Neurocomputing, 213, 147-154. doi: 10.1016/j.neucom.2016.02.085

Prediction-based Unobstructed Route Planning

2016

Journal Article

From the lab into the wild: Design and deployment methods for multi-modal tracking platforms

Sommer, Philipp, Kusy, Branislav, Jurdak, Raja, Kottege, Navinda, Liu, Jiajun, Zhao, Kun, McKeown, Adam and Westcott, David (2016). From the lab into the wild: Design and deployment methods for multi-modal tracking platforms. Pervasive and Mobile Computing, 30, 1-17. doi: 10.1016/j.pmcj.2015.09.003

From the lab into the wild: Design and deployment methods for multi-modal tracking platforms

2016

Conference Publication

Information bang for the energy buck: Towards energy-and mobility-aware tracking

Sommer, Philipp, Liu, Jiajun, Zhao, Kun, Kusy, Branislav, Jurdak, Raja, McKeown, Adam and Westcott, David (2016). Information bang for the energy buck: Towards energy-and mobility-aware tracking. Junction Publishing.

Information bang for the energy buck: Towards energy-and mobility-aware tracking

2016

Journal Article

A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments

Liu, Jiajun, Zhao, Kun, Sommer, Philipp, Shang, Shuo, Kusy, Brano, Lee, Jae-Gil and Jurdak, Raja (2016). A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. IEEE Transactions on Knowledge and Data Engineering, 28 (11) 7542198, 2827-2841. doi: 10.1109/TKDE.2016.2598171

A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments

2016

Conference Publication

Learning abstract snippet detectors with temporal embedding in convolutional neural networks

Liu, Jiajun, Zhao, Kun, Kusy, Brano, Wen, Ji-rong, Zheng, Kai and Jurdak, Raja (2016). Learning abstract snippet detectors with temporal embedding in convolutional neural networks. 32nd IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2016.7498299

Learning abstract snippet detectors with temporal embedding in convolutional neural networks

2015

Journal Article

Understanding human mobility from Twitter

Jurdak, Raja, Zhao, Kun, Liu, Jiajun, AbouJaoude, Maurice, Cameron, Mark and Newth, David (2015). Understanding human mobility from Twitter. PLoS ONE, 10 (7) e0131469. doi: 10.1371/journal.pone.0131469

Understanding human mobility from Twitter

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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