计算机科学博士，瑞士联邦理工学院, 2023年
工业工程硕士，伊利诺伊大学香槟分校，2020年
应用数学与经济学学士，加州大学洛杉矶分校，2017年

杨俊驰博士现任香港中文大学（深圳）数据科学学院助理教授。他分别于瑞士联邦理工学院（ETH Zurich）获得计算机科学博士学位、伊利诺伊大学香槟分校（UIUC）获得工业工程硕士学位，以及加州大学洛杉矶分校（UCLA）获得应用数学与经济学学士学位。在加入香港中文大学（深圳）之前，杨博士曾在阿贡国家实验室担任博士后研究员。

杨博士的研究致力于连续优化算法的理论和实践，以解决复杂的决策问题，特别是在机器学习和能源领域的应用。他的研究成果已发表在NeurIPS和ICLR等顶尖学术会议上。此外，杨博士担任多个顶级会议和期刊的审稿人，包括机器学习（如NeurIPS）、数学优化（如Mathematical Programming）和电力系统（如IEEE Transactions on Smart Grid）领域的权威刊物。

(* indicates equal contribution)

1. Florian Hübler, Junchi Yang, Xiang Li, and Niao He. Parameter-Agnostic Optimization under Relaxed Smoothness. International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

2. Junchi Yang*, Xiang Li*, Ilyas Fatkhulin, and Niao He. Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. Conference on Neural Information Processing Systems (NeurIPS 2023).

3. Liang Zhang*, Junchi Yang*, Amin Karbasi, Niao He. Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization. Conference on Neural Information Processing Systems (NeurIPS 2023). Spotlight.

4. Xiang Li, Junchi Yang, and Niao He. TiAda: A Time-Scale Adaptive Algorithm for Nonconvex Minimax Optimization. International Conference on Learning Representations (ICLR 2023).

5. Junchi Yang*, Xiang Li*, and Niao He. Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. Conference on Neural Information Processing Systems (NeurIPS 2022).

6. Junchi Yang, Antonio Orvieto, Aurelien Lucchi, and Niao He. Faster Single-Loop Algorithms for Minimax Optimization without Strong Concavity. International Conference on Artificial Intelligence and Statistics (AISTATS 2022).

7. Siqi Zhang*, Junchi Yang*, Cristóbal Guzmán, Negar Kiyavash, and Niao He. The Complexity of Nonconvex-Strongly-Concave Minimax Optimization. Conference on Uncertainty in Artificial Intelligence (UAI 2021).

8. Junchi Yang, Siqi Zhang, Negar Kiyavash, and Niao He. A Catalyst Framework for Minimax Optimization. Conference on Neural Information Processing Systems (NeurIPS 2020).

9. Junchi Yang, Negar Kiyavash, and Niao He. Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Mini-max Problems. Conference on Neural Information Processing Systems (NeurIPS 2020).