The University of Queensland

GSMFlow: generation shifts mitigating flow for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2023). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia, 25 (99), 5374-5385. doi: 10.1109/tmm.2022.3190678

Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm

Wang, Weihao, Chen, Zhi, Wang, Sen, Chen, Fei, Deng, Mingqun, Pan, Qi and Guo, Lixin (2022). Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 16 (7) 102556, 1-4. doi: 10.1016/j.dsx.2022.102556

Application of new international classification of adult-onset diabetes in Chinese inpatients with diabetes mellitus

Wang, Weihao, Pei, Xiaobei, Zhang, Lina, Chen, Zhi, Lin, Dong, Duan, Xiaoye, Fan, Jingwen, Pan, Qi and Guo, Lixin (2020). Application of new international classification of adult-onset diabetes in Chinese inpatients with diabetes mellitus. Diabetes/Metabolism Research and Reviews, 37 (7) dmrr.3427, 1-8. doi: 10.1002/dmrr.3427

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error

Wang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi (2023). Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error. New York, NY, USA: ACM. doi: 10.1145/3581783.3611808

Zero-Shot Learning by Harnessing Adversarial Samples

Chen, Zhi, Zhang, Pengfei, Li, Jingjing, Wang, Sen and Huang, Zi (2023). Zero-Shot Learning by Harnessing Adversarial Samples. New York, NY, USA: ACM. doi: 10.1145/3581783.3611823

Distinguishing Unseen from Seen for Generalized Zero-shot Learning

Su, Hongzu, Li, Jingjing, Chen, Zhi, Zhu, Lei and Lu, Ke (2022). Distinguishing Unseen from Seen for Generalized Zero-shot Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA United States, 18-24 June 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CVPR52688.2022.00773

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

Integration of data across scales to predict genotype performance in National Variety Trials

Chapman, Scott, Noviati, Vivi, Hu, Pengcheng, McLaren, Connar, Smith, Daniel, Choudhury, Malini, Chen, Zhi, Grunfeld, Swaantje, Zheng, Bangyou, van Eeuwijk, Fred, Bustos-Korts, Daniela, Boer, Martin, Hemerik, Jesse and Ramakers, Jip (2022). Integration of data across scales to predict genotype performance in National Variety Trials. Australasian Plant Breeding Conference, Gold Coast, QLD Australia, 9-11 May 2022.

CausalRec: causal inference for visual debiasing in visually-aware recommendation

Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266

Domain adaptive semantic segmentation without source data

You, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482

Local graph convolutional networks for cross-modal hashing

Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258

Semantics disentangling for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 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/iccv48922.2021.00859

Entropy-based uncertainty calibration for generalized zero-shot learning

Chen, Zhi, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Entropy-based uncertainty calibration for generalized zero-shot learning. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, 29 January-5 February 2021. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-69377-0_12

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

Chen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813

Cycle-consistent diverse image synthesis from natural language

Chen, Zhi and Luo, Yadan (2019). Cycle-consistent diverse image synthesis from natural language. 2019 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Shanghai, China, 8-12 July 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/icmew.2019.00085

Generalising to the unseen - zero-shot learning via generative modelling for visual recognition

Chen, Zhi (2023). Generalising to the unseen - zero-shot learning via generative modelling for visual recognition. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/9d168dd