Mengdi Huai

1.0k total citations
43 papers, 587 citations indexed

About

Mengdi Huai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Mengdi Huai has authored 43 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Health Information Management. Recurrent topics in Mengdi Huai's work include Privacy-Preserving Technologies in Data (9 papers), Machine Learning in Healthcare (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Mengdi Huai is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Machine Learning in Healthcare (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Mengdi Huai collaborates with scholars based in United States, China and Saudi Arabia. Mengdi Huai's co-authors include Aidong Zhang, Jing Gao, Chenglin Miao, Lü Su, Qiuling Suo, Liuyi Yao, Fenglong Ma, Weida Zhong, Ye Yuan and Yaliang Li and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Biomedical Informatics and AI Magazine.

In The Last Decade

Mengdi Huai

42 papers receiving 577 citations

Peers

Mengdi Huai

HIM

CSA

CVPR

İnci M. Baytaş United States

Gonzalo Ramos-Jiménez Spain

Aaron Wilson United States

Nicandro Cruz-Ramírez Mexico

Estellito Rangel Brazil

Manish Mathuria India

Yutao Huang China

Ján Paralič Slovakia

Akinori Fujino Japan

Vishal Dutt India

İnci M. Baytaş United States

Mengdi Huai

401 ×1.0

118 ×1.5

HIM

13 ×0.2

CSA

69 ×1.1

CVPR

9 ×0.2

Citations per year, relative to Mengdi Huai Mengdi Huai (= 1×) peers İnci M. Baytaş

Countries citing papers authored by Mengdi Huai

Since Specialization

Citations

This map shows the geographic impact of Mengdi Huai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mengdi Huai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdi Huai more than expected).

Fields of papers citing papers by Mengdi Huai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengdi Huai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mengdi Huai. The network helps show where Mengdi Huai may publish in the future.

Co-authorship network of co-authors of Mengdi Huai

This figure shows the co-authorship network connecting the top 25 collaborators of Mengdi Huai. A scholar is included among the top collaborators of Mengdi Huai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengdi Huai. Mengdi Huai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Ninghao, et al.. (2025). Towards Stable and Explainable Attention Mechanisms. IEEE Transactions on Knowledge and Data Engineering. 37(5). 3047–3061. 2 indexed citations

Zhao, Chenxu, et al.. (2025). A survey of security and privacy issues of machine unlearning. AI Magazine. 46(1). 2 indexed citations

Wang, Tianhao, et al.. (2025). White-box Membership Inference Attacks against Diffusion Models. Proceedings on Privacy Enhancing Technologies. 2025(2). 398–415. 1 indexed citations

Cui, Hejie, Shi-Yu Wang, Wenjing Ma, et al.. (2025). A review on knowledge graphs for healthcare: Resources, applications, and promises. Journal of Biomedical Informatics. 169. 104861–104861. 3 indexed citations

Huai, Mengdi, et al.. (2024). AdvST: Revisiting Data Augmentations for Single Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21832–21840. 8 indexed citations

Zhong, Yuan, Jiaqi Wang, Xiaochen Wang, et al.. (2024). MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. Society for Industrial and Applied Mathematics eBooks. 2024. 499–507. 5 indexed citations

Liu, Zihao, Tianhao Wang, Mengdi Huai, & Chenglin Miao. (2024). Backdoor Attacks via Machine Unlearning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14115–14123. 8 indexed citations

Huai, Mengdi. (2024). Fostering Trustworthiness in Machine Learning Algorithms. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22670–22670. 1 indexed citations

Qian, Wei, et al.. (2024). Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14651–14659. 4 indexed citations

10.

Liu, Yixin, et al.. (2023). SEAT: Stable and Explainable Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12907–12915. 2 indexed citations

11.

Huai, Mengdi, et al.. (2023). Understanding and Enhancing Robustness of Concept-Based Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 15127–15135. 3 indexed citations

12.

Zhu, Yi, et al.. (2022). Demo: Attacking LiDAR Semantic Segmentation in Autonomous Driving. 1 indexed citations

13.

Yao, Liuyi, Yaliang Li, Sheng Li, et al.. (2022). Concept-Level Model Interpretation From the Causal Aspect. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8799–8810. 5 indexed citations

14.

Huai, Mengdi, Tianhang Zheng, Chenglin Miao, Liuyi Yao, & Aidong Zhang. (2022). On the Robustness of Metric Learning: An Adversarial Perspective. ACM Transactions on Knowledge Discovery from Data. 16(5). 1–25. 5 indexed citations

15.

Xue, Zhiyu, et al.. (2021). Differentially Private Pairwise Learning Revisited. 3242–3248. 5 indexed citations

16.

Huai, Mengdi, Hongfei Xue, Chenglin Miao, et al.. (2019). Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. 2535–2541. 14 indexed citations

17.

Suo, Qiuling, Fenglong Ma, Ye Yuan, et al.. (2018). Deep Patient Similarity Learning for Personalized Healthcare. IEEE Transactions on NanoBioscience. 17(3). 219–227. 94 indexed citations

18.

Yao, Liuyi, Sheng Li, Yaliang Li, et al.. (2018). Representation Learning for Treatment Effect Estimation from Observational Data. Neural Information Processing Systems. 31. 2633–2643. 66 indexed citations

19.

Miao, Chenglin, Qi Li, Houping Xiao, et al.. (2018). Towards Data Poisoning Attacks in Crowd Sensing Systems. 111–120. 59 indexed citations

20.

Suo, Qiuling, Fenglong Ma, Ye Yuan, et al.. (2017). Personalized disease prediction using a CNN-based similarity learning method. 811–816. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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