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Dr Zijian Wang
Dr

Zijian Wang

Email: 

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

29 works between 2019 and 2025

1 - 20 of 29 works

2025

Conference Publication

WisWheat: a three-tiered vision-language dataset for wheat management

Yuan, Bowen, Song, Selena, Fernandez, Javier, Luo, Yadan, Baktashmotlagh, Mahsa and Wang, Zijian (2025). WisWheat: a three-tiered vision-language dataset for wheat management. 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758256

WisWheat: a three-tiered vision-language dataset for wheat management

2025

Book Chapter

Spectral Distribution Alignment for Enhanced Generalization in Regression

Guo, Kaiyu, Wang, Zijian, Lovell, Brian C. and Baktashmotlagh, Mahsa (2025). Spectral Distribution Alignment for Enhanced Generalization in Regression. Lecture Notes in Computer Science. (pp. 272-288) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-06106-5_16

Spectral Distribution Alignment for Enhanced Generalization in Regression

2025

Journal Article

Open-CRB: Toward Open World Active Learning for 3D Object Detection

Chen, Zhuoxiao, Luo, Yadan, Wang, Zixin, Wang, Zijian and Huang, Zi (2025). Open-CRB: Toward Open World Active Learning for 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47 (10), 8336-8350. doi: 10.1109/tpami.2025.3575756

Open-CRB: Toward Open World Active Learning for 3D Object Detection

2025

Journal Article

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Wang, Zijian, Zenkl, Radek, Greche, Latifa, De Solan, Benoit, Samatan, Lucas Bernigaud, Ouahid, Safaa, Visioni, Andrea, Robles-Zazueta, Carlos A., Pinto, Francisco, Perez-Olivera, Ivan, Reynolds, Matthew P., Zhu, Chen, Liu, Shouyang, D’argaignon, Marie-Pia, Lopez-Lozano, Raul, Weiss, Marie, Marzougui, Afef, Roth, Lukas, Dandrifosse, Sébastien, Carlier, Alexis, Dumont, Benjamin, Mercatoris, Benoît, Fernandez, Javier, Chapman, Scott, Najafian, Keyhan, Stavness, Ian, Wang, Haozhou, Guo, Wei, Virlet, Nicolas ... Hund, Andreas (2025). The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset. Plant Phenomics, 7 (3) 100084, 1-16. doi: 10.1016/j.plaphe.2025.100084

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

2025

Conference Publication

Feature space perturbation: a panacea to enhanced transferability estimation

Khoba, Prafful Kumar, Wang, Zijian, Arora, Chetan and Baktashmotlagh, Mahsa (2025). Feature space perturbation: a panacea to enhanced transferability estimation. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ USA, 26 February-6 March 2025. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv61041.2025.00134

Feature space perturbation: a panacea to enhanced transferability estimation

2024

Conference Publication

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. 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, 16-18 December 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-1242-0_32

MIDNet: neural-based efficient delivery of multispectral satellite image data

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. ESGMFM '24: 1st Workshop on Efficiency, Security, and Generalization of Multimedia Foundation Models, Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3688864.3689149

Rethinking the role-play prompting in mathematical reasoning tasks

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.

Color-oriented redundancy reduction in dataset distillation

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.

CIFAR-10-Warehouse: broad and more realistic testbeds in model generalization analysis

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

VLM-BCD: unsupervised building change detection

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

Learning efficient unsupervised satellite image-based building damage detection

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

A double-level interleaved group convolutional network in the frequency domain for E-nose gas recognition

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

Towards reliable and efficient vegetation segmentation for Australian wheat data analysis

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

On improving vision model transferability to address domain shift in an open world

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

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

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

Exploring active 3D object detection from a generalization perspective

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

Source-free progressive graph learning for open-set domain adaptation

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

FFM: injecting out-of-domain knowledge via factorized frequency modification

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

Center-aware adversarial augmentation for single domain generalization

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

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis

Supervision

Availability

Dr Zijian Wang is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Towards Reliable and Efficient Vegetation Segmentation for multi-modality Australian Wheat Data Analysis

    Associate Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Semantic Segmentation for Crop Health and Damage Assessment

    Associate Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh

Media

Enquiries

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