me

Tianyou Liang 梁天佑

Ph.D. student, University of Technology Sydney

I am a Ph.D. student at University of Technology Sydney, supervised by Min Xu. Before that, I visited at Chinese University of Hong Kong (Shenzhen) from 2022 to 2023, supervised by Xiaoguang Han. I obtained my master's degree (supervised by Min Meng) and bachelor's degree from Guangdong University of Technology in 2022 and 2019, respectively.

My research interests include computer vision and medical imaging.

Publications

  1. Probing, Priors, and Teaching: A Framework to Segment Any Bone with Partial Supervision

    Tianyou Liang, Xiaoxu Li, Yu Peng and Min Xu

    Expert Systems with Applications (ESWA), 2026

  2. Segment Any Bone in CT with Partial Supervision

    Tianyou Liang, Xiaoxu Li, Yu Peng and Min Xu

    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

  3. MVImgNet: A Large-scale Dataset of Multi-view Images

    Xianggang Yu, Mutian Xu, Yidan Zhang, Haolin Liu, Chongjie Ye, Yushuang Wu, Zizheng Yan, Chenming Zhu, Zhangyang Xiong, Tianyou Liang, Guanying Chen, Shuguang Cui and Xiaoguang Han

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  4. Hierarchical Triple-level Alignment for Multiple Source and Target Domain Adaptation

    Zhuanghui Wu, Min Meng, Tianyou Liang and Jigang Wu

    Applied Intelligence, 2023

  5. Unsupervised Cross-modal Hashing Based on Feature Fusion

    Tianyou Liang, Min Meng and Jigang Wu

    Jisuanji Gongcheng/Computer Engineering, 2023

  6. Dual-level Contrastive Learning Network for Generalized Zero-shot Learning

    Jiaqi Guan, Min Meng, Tianyou Liang, Jigang Liu and Jigang Wu

    The Visual Computer, 2022

  7. Group Correspondence: A Statistical Perspective for Incomplete Multi-View Clustering Augmentation

    Tianyou Liang, Min Meng, Mengcheng Lan, Jun Yu and Jigang Wu

    IEEE International Conference on Multimedia and Expo (ICME), 2022

  8. Triple Disentangling Network for Unsupervised Domain Adaptation

    Zhuanghui Wu, Tianyou Liang, Min Meng, Jigang Liu, Jun Yu and Jigang Wu

    IEEE International Conference on Multimedia and Expo (ICME), 2022

  9. Exploring Fine-grained Cluster Structure Knowledge for Unsupervised Domain Adaptation

    Min Meng, Zhuanghui Wu, Tianyou Liang, Jun Yu and Jigang Wu

    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022

  10. Stack-VAE Network for Zero-shot Learning

    Jinghao Xie, Jigang Wu, Tianyou Liang and Min Meng

    International Conference on Neural Information Processing (ICONIP), 2021