丁添
研究领域：
个人介绍
2019年获得香港中文大学信息工程博士学位，师从IEEE Fellow刘绍强教授，曾于2018年访问伊利诺伊大学香槟分校（UIUC）孙若愚教授（现为香港中文大学-深圳副教授）。研究领域为数学优化与深度学习理论，方向包括神经网络优化理论、大语言模型等。
代表性论文
B. Li, L. Yang, Y. Chen, S. Wang, Q. Chen, H. Mao, Y. Ma, A. Wang, T. Ding, J. Tang, R. Sun, “PDHG-unrolled learning-to-optimize method for large-scale linear programming”, ICML 2024.
T. Ding, D. Li, R. Sun, “Suboptimal local minima exist for wide neural networks with smooth activations”, Mathematics of Operations Research, 2022.
D. Li, T. Ding, R. Sun, “On the benefit of width for neural networks: Disappearance of basins”, SIAM Journal on Optimization, 2022.
T. Ding, X. Yuan, and S. C. Liew, “Sparsity learning based multiuser detection in massive-device multiple access”, IEEE Transactions on Wireless Communications, Jul. 2019.
T. Ding, X. Yuan, and S. C. Liew, “On the degrees of freedom of the symmetric multi-relay MIMO Y channel”, IEEE Transactions on Wireless Communications, Sep. 2017.