jiangwei.jpg 



姜伟   教授
计算机科学与工程学院
南京理工大学
邮箱: jiangw@lamda.nju.edu.cn;   jiang_wei@njust.edu.cn
[英文版]


研究方向

      机器学习, 随机优化.

工作经历

教育经历

代表论文 (所有论文列表)

  1. Optimizing Unnormalized Statistical Models through Compositional Optimization
    W. Jiang, J. Qin, L. Wu, C. Chen, T. Yang, and L. Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear, 2025.

  2. Revisiting Stochastic Multi-Level Compositional Optimization [PDF]
    W. Jiang, S. Yang, Y. Wang, T. Yang, and L. Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 47(7): 5613 - 5624, 2025.

  3. Normalized Adaptive Variance Reduction Method [PDF]
    W. Jiang, S. Yang, Y. Wang, and L. Zhang
    Journal of Software, 36(11): 4893 - 4905, 2025.

  4. Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions [PDF]
    W. Jiang, S. Yang, Y. Wang, and L. Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 22047 - 22080, 2024.

  5. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction [PDF]
    W. Jiang, S. Yang, W. Yang, and L. Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 33891 - 33932, 2024.

  6. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization [PDF]
    W. Jiang, S. Yang, W. Yang, Y. Wang, Y. Wan, and L. Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 21962 - 21987, 2024.

  7. Learning Unnormalized Statistical Models via Compositional Optimization [PDF]
    W. Jiang, J. Qin, L. Wu, C. Chen, T. Yang, L. Zhang
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), pages 15105 - 15124, 2023.

  8. Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization [PDF, Supplementary]
    W. Jiang, G. Li, Y. Wang, L. Zhang, and T. Yang
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 32499 - 32511, 2022.

  9. Optimal Algorithms for Stochastic Multi-Level Compositional Optimization [PDF]
    W. Jiang, B. Wang, Y. Wang, L. Zhang, and T. Yang
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022), pages 10195 - 10216, 2022.

奖励与荣誉

项目

复合损失函数的分布式学习. 江苏省研究生科研创新计划 (KYCX24_0231), 2024.05-2025.05.

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