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Dr Zijian Wang
Dr

Zijian Wang

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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

24 works between 2019 and 2024

1 - 20 of 24 works

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

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. New York, NY, USA: ACM. doi: 10.1145/3688864.3689149

Rethinking the Role-play Prompting in Mathematical Reasoning Tasks

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

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

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

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

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

Contrastive learning for representation degeneration problem in sequential recommendation

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

RoadAtlas: intelligent platform for automated road defect detection and asset management

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

Learning to diversify for single domain generalization

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

PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation

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

CoCo DistillNet: A Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation

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

Adversarial bipartite graph learning for video domain adaptation

Supervision

Availability

Dr Zijian Wang is:
Available for supervision

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Media

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