李明华

发表论文

精选代表性论文 10 篇（* 表示通讯作者）

  1. [1] 2026

    CausalBench: A Benchmark for Causal Discovery in High Dimensions

    Z. Wang, M. Li*, Y. Chen, et al.

    International Conference on Machine Learning (ICML), 2026. Oral Presentation

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  2. [2] 2025

    Interpretable Neural Networks via Sparse Concept Activation Vectors

    F. Wang, M. Li*, H. Zhang, J. Liu

    Advances in Neural Information Processing Systems (NeurIPS), 2025.

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  3. [3] 2025

    Federated Learning with Differential Privacy: A Unified Framework

    X. Liu, M. Li*, S. Zhao, W. Yang

    International Conference on Learning Representations (ICLR), 2025.

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  4. [4] 2024

    AI-Assisted Discovery of Novel Materials: A Case Study on Perovskite Solar Cells

    M. Li, K. Johnson, R. Patel, et al.

    Nature Machine Intelligence, vol. 6, pp. 892–904, 2024.

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  5. [5] 2024

    Generalization Bounds for Overparameterized Neural Networks via PAC-Bayes

    Y. Chen, M. Li*, T. Zhou

    Journal of Machine Learning Research (JMLR), vol. 25, no. 142, 2024.

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  6. [6] 2023

    Counterfactual Explanations for Deep Learning: A Survey

    M. Li*, F. Wang, H. Zhang

    ACM Computing Surveys, vol. 56, no. 3, Article 62, 2023.

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  7. [7] 2023

    Scalable Causal Inference with Neural Structural Equation Models

    Z. Wang, M. Li*, Y. Chen

    International Conference on Machine Learning (ICML), 2023. Spotlight

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  8. [8] 2022

    Trustworthy Machine Learning: Robustness, Fairness, and Interpretability

    M. Li*, X. Liu, J. Liu

    Communications of the ACM, vol. 65, no. 8, pp. 64–73, 2022.

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  9. [9] 2021

    Deep Learning for Protein Structure Prediction: Beyond AlphaFold

    H. Zhang, M. Li*, K. Johnson

    Nature Methods, vol. 18, pp. 1123–1130, 2021.

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  10. [10] 2020

    A Theoretical Analysis of Contrastive Self-Supervised Learning

    T. Zhou, M. Li*, Y. Chen, S. Zhao

    International Conference on Machine Learning (ICML), 2020.

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