Mengmeng Ma

I am a Ph.D. student at the University of Delaware, fortunate to be advised by Professor Xi Peng. My career goal is to advance the robustness and explainability of Machine Learning. Currently, my focus is on Multimodal Learning, particularly in addressing missing modalities; Federated Learning, where I develop methods for out-of-federation generalization; and Explainable Machine Learning, with an emphasis on rationale prediction.

Google Scholar

CV

Publications

• “Why Is There a Tumor?”: Safeguarding Tumor Segmentation and Detection With Trustworthy Rationales
  Mengmeng Ma, Tang Li, Yunxiang Peng, Lu Lin, Volkan Beylergil, Binsheng Zhao, Oguz Akin, Xi Peng.
  International Conference on Machine Learning (ICML), 2025.

• Beyond Accuracy: Ensuring Correct Predictions with Correct Rationales
  Tang Li, Mengmeng Ma, Xi Peng.
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

• DEAL: Disentangle and Localize Concept-level Explanations for VLMs
  Tang Li, Mengmeng Ma, Xi Peng.
  European Conference on Computer Vision (ECCV), 2024.

• Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
  Mengmeng Ma, Tang Li, Xi Peng.
  International Conference on Machine Learning (ICML), 2024.

• Are Data-driven Explanations Robust Against Out-of-distribution Data?
  Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Are Multimodal Transformers Robust to Missing Modality?
  Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• SMIL: Multimodal Learning with Severely Missing Modality
  Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng.
  AAAI Conference on Artificial Intelligence (AAAI), 2021.

Services

Conference Reviewer:

• Annual Conference on Neural Information Processing Systems (NeurIPS), 2024–2025

• International Conference on Machine Learning (ICML), 2025

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023–2025

• International Conference on Computer Vision (ICCV), 2023, 2025

• European Conference on Computer Vision (ECCV), 2024

• International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

• AAAI Conference on Artificial Intelligence (AAAI), 2025

• British Machine Vision Conference (BMVC), 2024–2025

• ACM International Conference on Multimedia (ACM MM), 2019–2025

Journal Reviewer:

• Transactions on Machine Learning Research

• ACM Computing Surveys

• Neural Networks

Teaching

• Spring 2022: Teaching Assistant for Introduction to Data Mining (CISC 483/683)

• Fall 2021: Teaching Assistant for Introduction to Data Mining (CISC 483/683)

• Spring 2021: Teaching Assistant for Introduction to Data Mining (CISC 483/683)

• Fall 2020: Teaching Assistant for Introduction to Computer Vision (CISC 442/642)

• Fall 2020: Teaching Assistant for Introduction to Data Mining (CISC 483/683)

Contact

I’m always interested in hearing about opportunities to collaborate or apply research to real-world problems!
Feel free to reach out.

Email: mengma [at] udel (dot) edu
Address: 591 Collaboration Way, FinTech Innovation Hub Suite 416, Newark, DE 19713