Overview
Availability
- Dr Zijian Wang is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Computer Science, The University of Queensland
Works
Search Professor Zijian Wang’s works on UQ eSpace
2024
Book Chapter
MIDNet: Neural-Based Efficient Delivery of Multispectral Satellite Image Data
Zhang, Yiyun and Wang, Zijian (2024). MIDNet: Neural-Based Efficient Delivery of Multispectral Satellite Image Data. Lecture Notes in Computer Science. (pp. 434-446) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-1242-0_32
2024
Conference Publication
Color-oriented redundancy reduction in dataset distillation
Yuan, Bowen, Wang, Zijian, Baktashmotlagh, Mahsa, Luo, Yadan and Huang, Zi (2024). Color-oriented redundancy reduction in dataset distillation. Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, BC, Canada, 10 - 15 December 2024. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.
2024
Conference Publication
CIFAR-10-Warehouse: broad and more realistic testbeds in model generalization analysis
Sun, Xiaoxiao, Leng, Xingjian, Wang, Zijian, Yang, Yang, Huang, Zi and Zheng, Liang (2024). CIFAR-10-Warehouse: broad and more realistic testbeds in model generalization analysis. ICLR 2024, Vienna, Austria, 7-11 May 2024. Vienna, Austria: International Conference on Learning Representations, ICLR.
2023
Conference Publication
VLM-BCD: unsupervised building change detection
Zhang, Yiyun and Wang, Zijian (2023). VLM-BCD: unsupervised building change detection. 5th ACM International Conference on Multimedia in Asia, Tainan, Taiwan, 6-8 December 2023. New York, NY, United States: ACM. doi: 10.1145/3595916.3626357
2023
Conference Publication
Learning efficient unsupervised satellite image-based building damage detection
Zhang, Yiyun, Wang, Zijian, Luo, Yadan, Yu, Xin and Huang, Zi (2023). Learning efficient unsupervised satellite image-based building damage detection. 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm58522.2023.00206
2023
Conference Publication
Towards reliable and efficient vegetation segmentation for Australian wheat data analysis
Yuan, Bowen, Wang, Zijian and Yu, Xin (2023). Towards reliable and efficient vegetation segmentation for Australian wheat data analysis. 34th Australasian Database Conference (ADC), Melbourne, NSW Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_9
2023
Other Outputs
On improving vision model transferability to address domain shift in an open world
Wang, Zijian (2023). On improving vision model transferability to address domain shift in an open world. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/f619e3d
2023
Conference Publication
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability
Wang, Zijian, Luo, Yadan, Zheng, Liang, Huang, Zi and Baktashmotlagh, Mahsa (2023). How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00511
2023
Conference Publication
Exploring active 3D object detection from a generalization perspective
Luo, Yadan, Chen, Zhuoxiao, Wang, Zijian, Yu, Xin, Huang, Zi and Baktashmotlagh, Mahsa (2023). Exploring active 3D object detection from a generalization perspective. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1 - 5 May 2023. New York, NY, United States: Cornell Tech. doi: 10.48550/arXiv.2301.09249
Featured
2023
Journal Article
Source-free progressive graph learning for open-set domain adaptation
Luo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288
2023
Conference Publication
FFM: injecting out-of-domain knowledge via factorized frequency modification
Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2023). FFM: injecting out-of-domain knowledge via factorized frequency modification. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00412
2023
Conference Publication
Center-aware adversarial augmentation for single domain generalization
Chen, Tianle, Baktashmotlagh, Mahsa, Wang, Zijian and Salzmann, Mathieu (2023). Center-aware adversarial augmentation for single domain generalization. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 2-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00414
2022
Conference Publication
FluMA: An Intelligent Platform for Influenza Monitoring and Analysis
Chen, Xi, Chen, Zhi, Wang, Zijian, Qiu, Ruihong and Luo, Yadan (2022). FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. 33rd Australasian Database Conference (ADC), Sydney, NSW Australia, 2-4 September 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-15512-3_12
2022
Conference Publication
Contrastive learning for representation degeneration problem in sequential recommendation
Qiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433
2021
Conference Publication
RoadAtlas: intelligent platform for automated road defect detection and asset management
Chen, Zhuoxiao, Zhang, Yiyun, Luo, Yadan, Wang, Zijian, Zhong, Jinjiang and Southon, Anthony (2021). RoadAtlas: intelligent platform for automated road defect detection and asset management. MMAsia '21: ACM Multimedia Asia, Gold Coast, QLD Australia, 1 - 3 December 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3469877.3493589
2021
Conference Publication
Learning to diversify for single domain generalization
Wang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.00087
2020
Conference Publication
Adversarial bipartite graph learning for video domain adaptation
Luo, Yadan, Huang, Zi, Wang, Zijian, Zhang, Zheng and Baktashmotlagh, Mahsa (2020). Adversarial bipartite graph learning for video domain adaptation. ACM International Conference on Multimedia, Seattle, WA, United States, 12-16 October 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3394171.3413897
2020
Conference Publication
Prototype-matching graph network for heterogeneous domain adaptation
Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2020). Prototype-matching graph network for heterogeneous domain adaptation. MM '20: 28th ACM International Conference on Multimedia, Online, October 2020. New York, NY, United States: ACM. doi: 10.1145/3394171.3413662
2020
Journal Article
Deep collaborative discrete hashing with semantic-invariant structure construction
Wang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267
Featured
2020
Conference Publication
Progressive graph learning for open-set domain adaptation
Luo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society .
Supervision
Availability
- Dr Zijian Wang is:
- Available for supervision
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