Wei Jiang @ LAMDA, NJU-CS
Supervisor
Professor Lijun Zhang
Education Experiences
Research Interests
My research interests include Machine Learning, Stochastic Optimization and Online learning.
Publication
- 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), to appear, 2024.
- 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), to appear, 2024.
- Online Composite Optimization Between Stochastic and Adversarial Environments
Y. Wang, S. Chen, W. Jiang, W. Yang, Y.Wan and L. Zhang
In Advances in Neural Information Processing Systems 37 (NeurIPS 2024), to appear, 2024.
- 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.
- Small-loss Adaptive Regret for Online Convex Optimization [PDF]
W. Yang, W. Jiang, Y. Wang, P. Yang, Y. Hu, and L. Zhang
In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 56156 - 56195, 2024.
- Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond [PDF]
D. Yu, Y. Cai, W. Jiang, and L. Zhang
In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 57384 - 57414, 2024.
- Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees [PDF, arXiv]
Y. Wang, W. Yang, W. Jiang, S. Lu, B. Wang, H. Tang, Y. Wan, and L. Zhang
In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), pages 15671 - 15679, 2024.
- 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.
- 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.
- Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor [PDF, Supplementary]
L. Zhang, W. Jiang, J. Yi, and T. Yang
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pages 4928 - 4942, 2022.
- 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.
- Revisiting Smoothed Online Learning [PDF, Supplementary]
L. Zhang, W. Jiang, S. Lu, and T. Yang
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pages 13599 - 13612, 2021.
- Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions [PDF, Supplementary]
L. Zhang, G. Wang, W.-W. Tu, W. Jiang, and Z.-H. Zhou
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pages 24968 - 24980, 2021.
Honors and Awards
- National Scholarship, 2024
- Excellent Student of Nanjing University, 2024
- National Scholarship, 2023
- Excellent Student of Nanjing University, 2023
- LAMDA Elite Award, 2023
- Tencent Scholarship, 2022
- Excellent Student of Nanjing University, 2022
- Industrial Bank Scholarship, 2021
- Excellent Student of Nanjing University, 2021
- Grand Champion of DeeCamp Artificial Intelligence Camp, 2020 (¥100,000)
- Excellent Graduate of Xi'an jiaotong University, 2020
Foundation
Distributed Optimization of Compositional Loss Functions.
Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX24_0231) 2024.05-2025.05
Academic Service
- Reviewer for Conferences: ICML 2025,2024,2023,2022; NeurIPS 2024,2023,2022; ICLR 2025,2024; AAAI 2025; AISTATS 2023.
- Reviewer for Journal: IEEE Transactions on Information Forensics & Security; IEEE Transactions on Evolutionary Computation; Information Sciences; Neurocomputing; TMLR.
Teaching Assistant
Correspondence