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
2024
Conference Publication
ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
Zhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2024). ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679633
2024
Conference Publication
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring
Lim, Jia Syuen, Wang, Ziwei, Liu, Jiajun, Khamis, Abdelwahed, Arablouei, Reza, Barlow, Robert and McAllister, Ryan (2024). Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Freiburg, Germany: IJCAI. doi: 10.24963/ijcai.2024/1018
2024
Conference Publication
Edge deployable online domain adaptation for underwater object detection
Etchegaray, Djamahl, Luo, Yadan, Li, Yang, Do, Brendan, Liu, Jiajun, Huang, Zi and Kusy, Branislav (2024). Edge deployable online domain adaptation for underwater object detection. 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30 June - 5 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ijcnn60899.2024.10650705
2024
Conference Publication
DynAmic Token Pruning in plain vision transformers for semantic segmentation
Tang, Quan, Zhang, Bowen, Liu, Jiajun, Liu, Fagui and Liu, Yifan (2024). DynAmic Token Pruning in plain vision transformers for semantic segmentation. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 1-6 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV51070.2023.00078
2024
Conference Publication
GTP-ViT: efficient vision transformers via graph-based token propagation
Xu, Xuwei, Wang, Sen, Chen, Yudong, Zheng, Yanping, Wei, Zhewei and Liu, Jiajun (2024). GTP-ViT: efficient vision transformers via graph-based token propagation. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/wacv57701.2024.00016
2024
Conference Publication
Why only text: empowering vision-and-language navigation with multi-modal prompts
Hong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Why only text: empowering vision-and-language navigation with multi-modal prompts. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2024/93
2024
Book Chapter
Towards cost-efficient federated multi-agent RL with learnable aggregation
Zhang, Yi, Wang, Sen, Chen, Zhi, Xu, Xuwei, Funiak, Stano and Liu, Jiajun (2024). Towards cost-efficient federated multi-agent RL with learnable aggregation. Advances in knowledge discovery and data mining. (pp. 171-183) Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-2253-2_14
2023
Conference Publication
No token left behind: efficient vision transformer via dynamic token idling
Xu, Xuwei, Li, Changlin, Chen, Yudong, Chang, Xiaojun, Liu, Jiajun and Wang, Sen (2023). No token left behind: efficient vision transformer via dynamic token idling. 36th Australasian Joint Conference on Artificial Intelligence, Brisbane, QLD Australia, 28 November-1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8388-9_3
2023
Conference Publication
SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mapping
Do, Brendan, Liu, Jiajun, Wang, Ziwei, Kusy, Brano, Merz, Torsten, Steven, Andy, Carlin, Geoffrey, Crosswell, Joseph, Li, Yang, Mortimer, Nicholas, Nayyeri, Fereshteh, Vanderklift, Mat and Wilson, Mark (2023). SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mapping. 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 2 November 2023. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3607834.3616570
2023
Conference Publication
Object detection difficulty: suppressing over-aggregation for faster and better video object detection
Zhang, Bingqing, Wang, Sen, Liu, Yifan, Kusy, Brano, Li, Xue and Liu, Jiajun (2023). Object detection difficulty: suppressing over-aggregation for faster and better video object detection. 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612090
2023
Conference Publication
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Zhang, Shujie, Zheng, Tianyue, Chen, Zhe, Hu, Jingzhi, Khamis, Abdelwahed, Liu, Jiajun and Luo, Jun (2023). OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 1-6 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv51070.2023.01387
2023
Conference Publication
Decoupled graph neural networks for large dynamic graphs
Zheng, Yanping, Wei, Zhewei and Liu, Jiajun (2023). Decoupled graph neural networks for large dynamic graphs. 49th International Conference on Very Large Data Bases, Vancouver, BC, Canada, 28 August-1 September 2023. New York, NY United States: Association for Computing Machinery. doi: 10.14778/3598581.3598595
2022
Conference Publication
A real-time edge-AI system for reef surveys
Li, Yang, Liu, Jiajun, Kusy, Brano, Marchant, Ross, Do, Brendan, Merz, Torsten, Crosswell, Joey, Steven, Andy, Tychsen-Smith, Lachlan, Ahmedt-Aristizabal, David, Oorloff, Jeremy, Moghadam, Peyman, Babcock, Russ, Malpani, Megha and Oerlemans, Ard (2022). A real-time edge-AI system for reef surveys. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW Australia, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3495243.3558278
2022
Conference Publication
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee
Li, Yaxian, Zhang, Bingqing, Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Wang, Ziwei and Wen, Jirong (2022). InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee. 31st International Conference on Artificial Neural Networks, ICANN 2022, Bristol, United Kingdom, 6–9 September 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-15934-3_14
2022
Conference Publication
Instant Graph Neural Networks for Dynamic Graphs
Zheng, Yanping, Wang, Hanzhi, Wei, Zhewei, Liu, Jiajun and Wang, Sibo (2022). Instant Graph Neural Networks for Dynamic Graphs. Association for Computing Machinery. doi: 10.1145/3534678.3539352
2022
Conference Publication
Integrating Dependency Tree into Self-Attention for Sentence Representation
Ma, Junhua, Li, Jiajun, Liu, Yuxuan, Zhou, Shangbo and Li, Xue (2022). Integrating Dependency Tree into Self-Attention for Sentence Representation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 23-27 May 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP43922.2022.9747221
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.
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. IEEE Computer Society. doi: 10.1109/ICME52920.2022.9859598
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
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Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Associate Advisor
Other advisors: Professor Xue Li, Associate Professor Sen Wang
-
Doctor Philosophy
Towards Intelligent and Generalisable Agents for Vision-and-Language Navigation
Associate Advisor
Other advisors: Associate Professor Sen Wang
Completed supervision
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2026
Doctor Philosophy
Adaptive Reinforcement Learning for Practical Decision Making
Associate Advisor
Other advisors: Dr Ruihong Qiu, Associate Professor Sen Wang
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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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