
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
Rethinking the Role-play Prompting in Mathematical Reasoning Tasks
Han, Zhiguang and Wang, Zijian (2024). Rethinking the Role-play Prompting in Mathematical Reasoning Tasks. New York, NY, USA: ACM. doi: 10.1145/3688864.3689149
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
A double-level interleaved group convolutional network in the frequency domain for E-nose gas recognition
Wang, Zijian, Han, Mingye, Zhang, Huisheng and Yan, Jia (2023). A double-level interleaved group convolutional network in the frequency domain for E-nose gas recognition. 2023 IEEE Sensors, Vienna, Austria, 29 October - 01 November 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SENSORS56945.2023.10325077
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
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
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
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
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
2021
Conference Publication
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
Wu, Zhuojie, Wang, Zijian, Zou, Wenxuan, Ji, Fan, Dang, Hao, Zhou, Wanting and Sun, Muyi (2021). PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX United States, 9-12 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BIBM52615.2021.9669490
2021
Conference Publication
CoCo DistillNet: A Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
Zou, Wenxuan, Qi, Xingqun, Wu, Zhuojie, Wang, Zijian, Sun, Muyi and Shan, Caifeng (2021). CoCo DistillNet: A Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX United States, 9-12 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BIBM52615.2021.9669551
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
Supervision
Availability
- Dr Zijian Wang is:
- Available for supervision
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