吴钰炜，suncitygroup太阳集团副研究员。研究领域主要包括：

1. 面向异构硬件的高性能优化算法设计

2. 鲁棒机器学习与鲁棒决策

3. 自动驾驶/医疗/电力场景下的智能优化算法研究

教育背景

2016年8月-2021年5月，新加坡国立大学，工业系统工程与管理，博士

2011年9月-2015年6月，suncitygroup太阳集团，工业工程，金融工程，学士

工作经历

2022年10月至今，suncitygroup太阳集团，suncitygroup太阳集团，副研究员

2022年4月-2022年9月，新加坡国立大学，工业系统工程与管理系，Research Fellow

2021年4月-2022年4月，新加坡国立大学，数学系，Research Fellow

PUBLICATIONS

• Wu, Y., Chen, C.*, Chen, C., Jiang, S.*, & Lim, A. Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms. IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2025.3621539.

• Wang, Z., Wu, Y.*, Li, M., & Chen, C. Data-driven robust multi-product pricing with fairness concerns. International Transactions in Operational Research. https://doi.org/10.1111/itor.13624

• Chen, D., Wu, Y.*, Li, J., Ding X., & Chen C. Distributionally Robust Mean-Absolute Deviation Portfolio Optimization Using Wasserstein Metric. Journal of Global Optimization, 2023.11, 2023(87): 783-805.
  

• Li, X., Ding, H., Tong, Z., Wu, Y.*,  & Chee, Y. Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 15947-15957

• Zhao, Y., Wu, Y., Chen, C.*, & Lim, A. On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1201-1210

• Li, X., Li, C.*, Tong, Z., Lim, A., Yuan, J., Wu, Y., Tang, J., & Huang, R. Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene. In Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), October 12–16, 2020, Seattle, WA, USA. ACM, New York, NY, USA

• 徐薇, 吴钰炜, 陈彩华. 基于交替方向乘子法的大规模线性多商品流问题求解算法[J]. 计算数学, 2018, 40(4): 436-449.
  

WORKING PAPERS

Wu et al., Inexact First Order Methods for Markov Decision Processes with Borel Spaces.