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2023 Conference Publication SkySea: connecting satellite, UAV and underwater imagery for benthic habitat mappingDo, 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 |
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2023 Conference Publication Object detection difficulty: suppressing over-aggregation for faster and better video object detectionZhang, 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 |
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2023 Conference Publication OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-VisionZhang, 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 |
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2023 Conference Publication Decoupled graph neural networks for large dynamic graphsZheng, 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 |
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2022 Conference Publication A real-time edge-AI system for reef surveysLi, 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 |
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2022 Conference Publication InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a TeeLi, 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 |
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2022 Conference Publication Instant Graph Neural Networks for Dynamic GraphsZheng, 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 |
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2022 Conference Publication Integrating Dependency Tree into Self-Attention for Sentence RepresentationMa, 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 |
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2022 Conference Publication A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion RecognitionRajapakshe, 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 |
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2022 Conference Publication STAR-GNN: Spatial-Temporal Video Representation for Content-Based RetrievalZhao, 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 |
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2022 Conference Publication Improved feature distillation via projector ensembleChen, 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. |
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2022 Conference Publication EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in BlockchainPatel, 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 |
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2021 Conference Publication PathSAGE: Spatial Graph Attention Neural Networks with Random Path SamplingMa, 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 |
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2019 Conference Publication RUM: Network representation learning using motifsYu, 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 |
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2018 Conference Publication Skip-Connected Deep Convolutional Autoencoder for Restoration of Document ImagesZhao, 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 |
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2018 Conference Publication Improving Person Re-identification by Body Parts Segmentation Generated by GANZhao, 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 |
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2017 Conference Publication A Novel Framework for Online Sales Burst PredictionChen, Rui and Liu, Jiajun (2017). A Novel Framework for Online Sales Burst Prediction. Springer Verlag. doi: 10.1007/978-3-319-71273-4_1 |
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2016 Conference Publication Learning abstract snippet detectors with temporal embedding in convolutional neural networksLiu, 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 |
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2016 Conference Publication Information bang for the energy buck: Towards energy-and mobility-aware trackingSommer, 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. |
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2015 Conference Publication Multi-scale population and mobility estimation with geo-Tagged TweetsLiu, Jiajun, Zhao, Kun, Khan, Saeed, Cameron, Mark and Jurdak, Raja (2015). Multi-scale population and mobility estimation with geo-Tagged Tweets. IEEE Computer Society. doi: 10.1109/ICDEW.2015.7129551 |
