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
2022
Journal Article
AP-GAN: Adversarial patch attack on content-based image retrieval systems
Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Li, Yaxian and Wen, Ji-Rong (2022). AP-GAN: Adversarial patch attack on content-based image retrieval systems. GeoInformatica, 26 (2), 347-377. doi: 10.1007/s10707-020-00418-7
2022
Conference Publication
A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Liu, Jiajun and Schuller, Bjorn (2022). A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. Association for Computing Machinery. doi: 10.1145/3511616.3513104
2022
Conference Publication
Improved feature distillation via projector ensemble
Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation. doi: 10.52202/068431-0878
2022
Conference Publication
STAR-GNN: spatial-temporal video representation for content-based retrieval
Zhao, Guoping, Zhang, Bingqing, Zhang, Mingyu, Li, Yaxian, Liu, Jiajun and Wen, Ji-Rong (2022). STAR-GNN: spatial-temporal video representation for content-based retrieval. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICME52920.2022.9859598
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Supervision
Availability
- Associate Professor Jiajun Liu is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Associate Advisor
Other advisors: Professor Xue Li, Associate Professor Sen Wang
Completed supervision
-
2026
Doctor Philosophy
Towards Intelligent and Generalisable Agents for Vision-and-Language Navigation
Associate Advisor
Other advisors: Associate Professor Sen Wang
-
2026
Doctor Philosophy
Adaptive Reinforcement Learning for Practical Decision Making
Associate Advisor
Other advisors: Dr Ruihong Qiu, Associate Professor Sen Wang
-
2025
Doctor Philosophy
Information-Preserving Efficient Vision Transformers
Associate Advisor
Other advisors: Associate Professor Sen Wang
-
2025
Doctor Philosophy
Simplifying Representations, Models, and Datasets for Efficient Visual Learning
Associate Advisor
Other advisors: Associate Professor Sen Wang
Media
Enquiries
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