Wang Zizhou

• 3rd prize winner of MURA: Bone X-Ray Deep Learning Competition, Stanford ML Group, 2018
• 4th prize winner of Global Challenge for Safe and Secure LLMs, AI Singapore, 2024
• 3rd prize winner of Global Challenge for Safe and Secure LLMs, AI Singapore, 2025

1. Zizhou Wang et al. Single-Domain Generalisation via Path Flatness-Aware Optimisation of Loss Landscapes. IEEE Transactions on Neural Networks and Learning Systems, 2026, 37(3):1263-1276.

2. Zizhou Wang et al. Continuous Disentangled Joint Space Learning for Domain Generalisation. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(7):13122-13134.

3. Zizhou Wang et al. A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems. IEEE Transactions on Cybernetics, 2023, 53(8):5323-5335.

4. Zizhou Wang et al. Consistent Representation via Contrastive Learning for Skin Lesion Diagnosis. Computer Methods and Programs in Biomedicine, 2023, 242:107826.

5. Zizhou Wang et al. A Semi-symmetric Domain Adaptation Network Based on Multi-level Adversarial Features for Meningioma Segmentation. Knowledge-Based Systems, 2021, 228:107245.

6. Zizhou Wang et al. An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature. IEEE Transactions on Cognitive and Developmental Systems, 2021, 13(3).

7. Xin Shu, Lei Zhang, Zizhou Wang et al. Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification. IEEE Transactions on Medical Imaging, 2020, 39(6):2246-2255.

8. Yan Wang, Yangqin Feng, Lei Zhang, Zizhou Wang et al. Deep Adversarial Domain Adaptation for Breast Cancer Screening from Mammograms. Medical Image Analysis, 2021, 73:102147.

9. Yan Wang, Zizhou Wang, Yangqin Feng, Lei Zhang. WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification. IEEE Transactions on Medical Imaging, 2022, 41(3):559-570.

10. Yangqin Feng, Zizhou Wang et al. Contrastive Domain Adaptation with Consistency Match for Automated Pneumonia Diagnosis. Medical Image Analysis, 2023, 83:102664.

11. Wei Huang, Lei Zhang, Xin Shu, Zizhou Wang et al. Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, 2024, 28(12):7175-7183.

12. Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang et al. Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Transactions on Medical Imaging, 2024, 43(5):1945-1957.

13. Wei Huang, Lei Zhang, Zizhou Wang, Lituan Wang. Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging. IEEE Transactions on Medical Imaging, 2024, 43(11):3731-3741.

14. Wei Huang, Lei Zhang, Zizhou Wang, Yan Wang. GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation. AAAI, 2025.

15. Zhenbin Wang, Lei Zhang, Wei Huang, Zhao Zhang, Zizhou Wang. Rethinking Out-of-Distribution Detection and Generalisation with Collective Behavior Dynamics. NeurIPS, 2025.

• ICIC 2026 PC
• Reviewer for IEEE TNNLS, IEEE TMI, KBS