SRIBD Research Scientist
Optimization, Artificial Intelligence, Wireless Communication
PhD in Information Engineering - Chinese University of Hong Kong
BS in Automation – Tsinghua University
Dr. Tian Ding is currently a research scientist in SRIBD. He received his Ph.D. in Information Engineering from the Chinese University of Hong Kong in 2019. His research spans various fields such as artificial intelligence, optimization, and wireless communication. Specifically, his research directions include neural network optimization theory, 5G network planning and optimization, and large language models. Dr. Ding was a researcher at the Theory Lab of Huawei Central Research Institute from 2019 to 2023. He has received the Huawei President Commendation of Wireless Network in 2020, 2021, and 2022. He has also won the "Innovation Pioneer" award three times at the Huawei Central Research Institute.
- 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, “Algorithmic beamforming design for MIMO multiway relay channel with clustered full data exchange”, IEEE Transactions on Vehicular Technology, Jul. 2018.
- 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.