Sifan Yang

LAMDA Group · NJU-AI

杨斯凡 Sifan Yang

Ph.D student, LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

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LAMDA Nanjing University

Research Interests

My research interests include Machine Learning, Stochastic Optimization and Online Learning.

Preprints

  1. Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications [arXiv] S. Yang, D.-Y. Li and L. Zhang
  2. Improved Analysis for Sign-based Methods with Momentum Updates [arXiv] W. Jiang, D. Yu, S. Yang, W. Yang, and L. Zhang

Journal

  1. Revisiting Stochastic Multi-Level Compositional Optimization. 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.
  2. Normalized Adaptive Variance Reduction Method. W. Jiang, S. Yang, Y. Wang, and L. Zhang Journal of Software, to appear, 2025.

Conference

  1. Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds S. Yang, W. Yang, W. Jiang and L. Zhang In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), to appear, 2026.
  2. Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval [arXiv] W. Yang, S. Yang, and L. Zhang The 14th International Conference on Learning Representations (ICLR 2026), to appear, 2026.
  3. Dimension-Free Adaptive Subgradient Methods with Frequent Directions [PDF] S. Yang*, Y. Wan*, P. Li, Y. Wang, X. Zhang, Z. Wei and L. Zhang In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), pages 71249 - 71274, 2025.
  4. Smoothed Online Convex Optimization with Delayed Feedback [PDF] Oral S. Yang, W. Yang, W. Jiang, Y. Wan, and L. Zhang In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), pages 6812 - 6820, 2025.
  5. Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting [PDF] S. Yang, Y. Wan, and L. Zhang In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), pages 21992-22000, 2025.
  6. Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions [arXiv] W. Jiang, S. Yang, Y. Wang, and L. Zhang In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 22047 - 22080, 2024.
  7. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction [arXiv] W. Jiang, S. Yang, W. Yang, and L. Zhang In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), pages 33891 - 33932, 2024.
  8. 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.

Honors and Awards

  • Excellent Student of Nanjing University, 2024
  • National Scholarship, 2023

Education Experiences

Teaching Assistant

Academic Service

  • Reviewer for Conferences: NeurIPS 2025, ICML 2026.

Correspondence

  • Email yangsf@lamda.nju.edu.cn
  • Office Room A525, Artificial Intelligence Building, Xianlin Campus of Nanjing University
Last Modified: 2026.05.01