Hao Xiong - Macquarie Univ, Australian Inst Hlth Innovat, Sydney, NSW 2109, Australia

基本信息

Career Trajectory

Bio

Hao Xiong received the master’s degree in information technology from the University of Sydney in 2012. He is currently pursuing the Ph.D. degree with the Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Ultimo, NSW, Australia. His research interests include latent variable models, image processing, and multiview geometry.

Research Interests

Papers共 31 篇Author StatisticsCo-AuthorSimilar Experts

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Discriminative Transfer Regression for Low-Rank and Sparse Subspace Learning

Zhonghua Liu,Weihua Ou, Jinbo Liu,Kaibing Zhang,Zhihui Lai,Hao Xiong

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2024)

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Fast Online Adaptation of Visual SLAM Via Variational Information Transfer and Preservation

Sangni Xu,Hao Xiong,Qiuxia Wu,Zhihui Wang, Shlomo Berkovsky,Zhiyong Wang

MMASIA '24 Proceedings of the 6th ACM International Conference on Multimedia in Asiapp.1-7, (2024)

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Automated Extraction of Physical Examination Interactions in General Practice Consultations: A Multi-Modal Using Images and Text Base Approaches

Moomna Waheed,Hao Xiong,Annie Y S Lau

Studies in health technology and informatics (2024): 190-191

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Robust Manifold Discriminative Distribution Adaptation for Transfer Subspace Learning

Zhonghua Liu,Weihua Ou,Kaibing Zhang,Hao Xiong

EXPERT SYSTEMS WITH APPLICATIONS (2024)

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AuxSegCount: Auxiliary Seg-Attention Based Network for Wheat Ears Counting in Field Conditions

Jie Zhang,Hao Xiong,Hecang Zang,Meng Zhou,Dong Liu,Zhonghua Liu,Hualei Shen

IEEE International Conference on Multimedia and Expopp.1-6, (2024)

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Delirium and Incident Dementia in Hospital Patients in New South Wales, Australia: Retrospective Cohort Study

Emily H. Gordon,David Ward,Hao Xiong,Shlomo Berkovsky,Ruth E. Hubbard

BMJ-BRITISH MEDICAL JOURNAL (2024)

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Fast and Efficient Brain Extraction with Recursive MLP Based 3D UNet

Guoqing Shangguan,Hao Xiong,Dong Liu,Hualei Shen

NEURAL INFORMATION PROCESSING, ICONIP 2023, PT III (2024): 578-588

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Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation

Chengyu Yuan,Hao Xiong, Guoqing Shangguan,Hualei Shen,Dong Liu, Haojie Zhang,Zhonghua Liu,Kun Qian,Bin Hu,Björn W. Schuller,Yoshiharu Yamamoto,Shlomo Berkovsky

IEEE International Conference on Acoustics, Speech, and Signal Processingpp.1676-1680, (2024)

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Evaluation of Cough Sound Segmentation Algorithms in the Presence of Background Noise

Roneel V. Sharan,Hao Xiong

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)pp.1-4, (2024)

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EAGLE Network: A Novel Incremental Learning Framework for Detecting Unknown Logos in Open-World Environments

Zhongming Yuan,Hao Xiong,Sujuan Hou

ACMMM CL'24 Proceedings of the 1st on Continual Learning meets Multimodal Foundation Models Fundamentals and Advancespp.23-30, (2024)

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