周大為 博士
助理教授 碩導
學校郵箱：dwzhou@cityu.edu.mo
辦公電話：(853)85902425
辦公地址：澳門城市大學(氹仔)何鴻燊樓S401室
學歷
2024 信息與通信工程博士, 西安電子科技大學, 中國
2019 通信工程學士, 西安電子科技大學, 中國
現任
澳門城市大學數據科學學院助理教授
研究方向
可信機器學習：對抗魯棒性、隱私保護、偽造檢測
用於醫療保健的人工智能：醫學影像增強、可靠的自動化診斷
視覺內容生成：異質圖像合成、多模態生成
研究及出版
Refereed Journal Articles
Zhou, D., Wang, N., Liu, T., & Gao, X. (2025). Improving Adversarial Training From the Perspective of Class-Flipping Distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IF=18.6)
Zhou, D., Wang, N., Han, B., Liu, T., & Gao, X. (2025). Defending Against Adversarial Examples Via Modeling Adversarial Noise. International Journal of Computer Vision, 1-18. (IF=9.3)
Zhou, D., Su, Z., Liu, D., Liu, T., Wang, N., & Gao, X. (2025). A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation. IEEE Transactions on Dependable and Secure Computing. (IF=7.5)
Zhou, D., Qu, H., Wang, N., Peng, C., Ma, Z., Yang, X., & Gao, X. (2025). Fooling human detectors via robust and visually natural adversarial patches. Neurocomputing, 616, 128915. (IF=6.5)
Zhou, D., Wang, N., Peng, C., Yu, Y., Yang, X., & Gao, X. (2021). Towards multi-domain face synthesis via domain-invariant representations and multi-level feature parts. IEEE Transactions on Multimedia, 24, 3469-3479. (IF=9.7)
Xia, R., Zhou, D., Liu, D., Li, J., Yuan, L., Wang, N., & Gao, X. (2024). Inspector for face forgery detection: Defending against adversarial attacks from coarse to fine. IEEE Transactions on Image Processing. (IF=13.7)
Hu, L., Zhou, D., Xu, J., Lu, C., Han, C., Shi, Z., ... & Liu, Z. (2024). Protecting prostate cancer classification from rectal artifacts via targeted adversarial training. IEEE Journal of Biomedical and Health Informatics, 28(7), 3997-4009. (IF=6.8)
Hu, L., Zhou, D. W., Zha, Y. F., Li, L., He, H., Xu, W. H., ... & Zhao, J. G. (2021). Synthesizing High-b-Value Diffusion–weighted Imaging of the Prostate Using Generative Adversarial Networks. Radiology: Artificial Intelligence, 3(5), e200237. (IF=13.2)
Hu, L., Zhou, D. W., Fu, C. X., Benkert, T., Jiang, C. Y., Li, R. T., ... & Zhao, J. G. (2021). Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study. European radiology, 31(3), 1760-1769. (IF=4.7)
Li, Q., Wu, D., Zhou, D., Lin, C., Liu, S., Wang, C., & Shen, C. (2025). Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity. IEEE Transactions on Information Forensics and Security. (IF=8.0)
Liu, L., Wang, N., Zhou, D., Liu, D., Yang, X., Gao, X., & Liu, T. (2024). Generalizable Prompt Learning via Gradient Constrained Sharpness-Aware Minimization. IEEE Transactions on Multimedia. (IF=9.7)
Hu, L., Guo, X., Zhou, D., Wang, Z., Dai, L., Li, L., ... & Liu, Z. (2024). Development and validation of a deep learning model to reduce the interference of rectal artifacts in MRI-based prostate cancer diagnosis. Radiology: Artificial Intelligence, 6(2), e230362. (IF=13.2)
Yang, Y., Lin, C., Li, Q., Zhao, Z., Fan, H., Zhou, D., ... & Shen, C. (2024). Quantization aware attack: Enhancing transferable adversarial attacks by model quantization. IEEE Transactions on Information Forensics and Security, 19, 3265-3278. (IF=8.0)
Refereed Conference Articles
Zhou, D., Wang, N., Yang, H., Gao, X., & Liu, T. (2023, July). Phase-aware adversarial defense for improving adversarial robustness. In International Conference on Machine Learning (pp. 42724-42741). PMLR. (CCF-A)
Zhou, D., Chen, Y., Wang, N., Liu, D., Gao, X., & Liu, T. (2023, July). Eliminating adversarial noise via information discard and robust representation restoration. In International Conference on Machine Learning (pp. 42517-42530). PMLR. (CCF-A)
Zhou, D., Wang, N., Han, B., & Liu, T. (2022, June). Modeling adversarial noise for adversarial training. In International Conference on Machine Learning (pp. 27353-27366). PMLR. (CCF-A)
Zhou, D., Wang, N., Gao, X., Han, B., Wang, X., Zhan, Y., & Liu, T. (2022, June). Improving adversarial robustness via mutual information estimation. In International Conference on Machine Learning (pp. 27338-27352). PMLR. (CCF-A)
Zhou, D., Liu, T., Han, B., Wang, N., Peng, C., & Gao, X. (2021, July). Towards defending against adversarial examples via attack-invariant features. In International conference on machine learning (pp. 12835-12845). PMLR. (CCF-A)
Zhou, D., Wang, N., Peng, C., Gao, X., Wang, X., Yu, J., & Liu, T. (2021). Removing adversarial noise in class activation feature space. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 7878-7887). (CCF-A)
Xu, Y., Zhou, D., Liu, D., & Wang, N. (2025). Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness. In Forty-second International Conference on Machine Learning. (CCF-A)
Xu, J., Zhou, D., Hu, L., Guo, J., Yang, F., Liu, Z., ... & Gao, X. (2025, April). Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 8, pp. 8878-8886). (CCF-A)
Zhou, N., Zhou, D., Liu, D., Wang, N., & Gao, X. (2025, April). Mitigating feature gap for adversarial robustness by feature disentanglement. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 10, pp. 10825-10833). (CCF-A)
Xia, R., Zhou, D., Liu, D., Yuan, L., Wang, S., Li, J., ... & Gao, X. (2024, October). Advancing generalized deepfake detector with forgery perception guidance. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 6676-6685). (CCF-A)
Su, Z., Zhou, D., Wang, N., Liu, D., Wang, Z., & Gao, X. (2023). Hiding visual information via obfuscating adversarial perturbations. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 4356-4366). (CCF-A)
Zhang, J., Liu, F., Zhou, D., Zhang, J., & Liu, T. (2024, July). Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. In International Conference on Machine Learning (pp. 59382-59402). PMLR. (CCF-A)
學術獎項
2022 UAI 2022 Top Reviewer
2023 第九屆中國國際“互聯網+”大學生創新創業大賽陝西賽區銀獎
