Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0009-0003-1717-818X
Scopus Author ID: 57210600361
Google Scholar Profile: gJJRqlsAAAAJ
Impact
Qualifications (Brief)
BEng DLUT, BEng MPhil PhD USYD
Biography
Minjing Dong is an Assistant Professor at the Department of Computer Science, City University of Hong Kong since January 2024. He received Ph.D. and M.Phil degree from School of Computer Science, University of Sydney. Before that, he received BS degrees in Software Engineering and Information Technology from both Dalian University of Technology and University of Sydney.
Position(s) Available
I am looking for self-motivated MPhil/PhD students. If you are interested in trustworthy machine learning research, computer vision, generative models, adversarial robustness, model calibration, or efficient neural networks, feel free to send me an email, with your CV, transcript, and publication.
Research Interests/Areas
Computer Vision; Adversarial Robustness; Calibration; Human Motion Analytics; Neural Architecture Search; Efficient Neural Network
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Adversarially Robust Neural Architectures
Dong, M., Li, Y., Wang, Y. & Xu, C., May 2025, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47, 5, p. 4183 - 4197Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Lin, J., Tao, L., Dong, M. & Xu, C., Jun 2025, 13th International Conference on Learning Representations (ICLR 2025). International Conference on Learning Representations, ICLRResearch output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification
Zhang, Y.-X., Gui, J., Dong, M., Cong, X., Cao, Y., Gong, X., Tang, Y. Y. & Kwok, J.T.-Y., 27 Jun 2025, (Online published) In: IEEE Transactions on Information Forensics and Security.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Mei, H., Dong, M. & Xu, C., 11 Apr 2025, Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). 6 ed. Vol. 39. p. 6081-6089 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Feature Clipping for Uncertainty Calibration
Tao, L., Dong, M. & Xu, C., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 19, p. 20841-20849 9 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access
Projects
- 1 Active
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NSFC-YPC-HK: Adversarially Robust Vision Transformer Based on Randomized Defense Strategy
DONG, M. (Principal Investigator / Project Coordinator)
1/01/25 → …
Project: Research
Press/Media
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Thirty-two outstanding scientists at CityUHK recognised by national funding; Scholar from the Department of Biomedical Engineering receives highest honour for young scientists
XU, C., FU, B., HOU, C., WANG, W., CHU, J.-E., QIN, Y., HOU, J., DONG, M., MA, J., ZHANG, Z., ZHANG, G., JIAO, D., YIN, X., CHEN, L., WU, Y., WU, G., SU, W., XU, J., HE, J., LI, N., ZHU, F., ZHAO, L., DUAN, P., XU, Y. J., LIU, C., LIU, M., CUI, L., KWOK, C. K., TSANG, S. W., ZHANG, Q., WANG, X. S. & WU, W.
25/09/24
1 item of Media coverage
Press/Media: Press / Media
Supervised Students
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Mr. Zimeng WANG, 汪子萌
- Department of Computer Science - P/T Research Assistant
Person: P/T Research Assistant, Doctor of Philosophy (Student)