姜伟

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;  12025220@njust.edu.cn

目前尚有研究生招生名额，也欢迎本科生实习，欢迎邮件联系！

研究方向

      机器学习, 随机优化, 大模型优化.

工作经历

教育经历

第一作者论文 (所有论文列表)

  1. ICML 2026 Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
    Wei Jiang, Mao Xu, Wenhao Yang, Yibo Wang, Zechao Li, and Lijun Zhang
    In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), to appear, 2026.
  2. TPAMI 2026 Optimizing Unnormalized Statistical Models through Compositional Optimization [PDF]
    Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, and Lijun Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 48(2): 1949 - 1960, 2026.
  3. TPAMI 2025 Revisiting Stochastic Multi-Level Compositional Optimization [PDF]
    Wei Jiang, Sifan Yang, Yibo Wang, Tianbao Yang, and Lijun Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 47(7): 5613 - 5624, 2025.
  4. Journal of Software 2025 Normalized Adaptive Variance Reduction Method [PDF]
    Wei Jiang, Sifan Yang, Yibo Wang, and Lijun Zhang
    Journal of Software, 36(11): 4893 - 4905, 2025.
  5. NeurIPS 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions [PDF]
    Wei Jiang, Sifan Yang, Yibo Wang, and Lijun Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 22047 - 22080, 2024.
  6. NeurIPS 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction [PDF]
    Wei Jiang, Sifan Yang, Wenhao Yang, and Lijun Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 33891 - 33932, 2024.
  7. ICML 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization [PDF]
    Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 21962 - 21987, 2024.
  8. ICML 2023 Learning Unnormalized Statistical Models via Compositional Optimization [PDF]
    Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, and Lijun Zhang
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), pages 15105 - 15124, 2023.
  9. NeurIPS 2022 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization [PDF, Supplementary]
    Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, and Tianbao Yang
    In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 32499 - 32511, 2022.
  10. ICML 2022 Optimal Algorithms for Stochastic Multi-Level Compositional Optimization [PDF]
    Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, and Tianbao Yang
    In Proceedings of the 39th International Conference on Machine Learning (ICML 2022), pages 10195 - 10216, 2022.

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