Projects per year
Personal profile
Personal profile
Dr. Keqin Liu received his Ph.D. degree from the University of California at Davis in 2010 and joined the industry as a software engineer in 2012 after 2 years of postdoc experience. After 8 years of working in the Silicon Valley, Dr. Liu still has a lot passion in mathematics and decided to return to the academy in 2020 when working in ASML and subsequently taught in Nanjing University until joining XJTLU in 2024.
Dr. Liu’s research interests include the development of modern math theory for AI technologies, the extension of pure math theory, especially number theory, and the application of pure math theory to solving practical problems in machine learning.
External positions
Director, Jiangsu Association for Applied Statistics
1 Jul 2022 → …
Research Fellow, Jiangsu National Center for Applied Mathematics
1 Nov 2020 → …
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Projects
- 1 Not started
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Study on single-loop full splitting algorithms for nonconvex, nonsmooth optimization with multiple composite structures
Tao, M. & Liu, K.
1/01/25 → 31/12/28
Project: Governmental Research Project
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Equilibrium condition-based optimization models for network-wide travel time estimation using limited observed data
Cao, S., Lam, W. H. K., Liu, K., Shao, H., Tam, M. L. & Wu, T., 2024, (Accepted/In press) In: Transportmetrica A: Transport Science. 2304033.Research output: Contribution to journal › Article › peer-review
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Efficient Reinforcement Learning for Reversi AI
Chen, H. & Liu, K., 2023, Second International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2022. Dai, W. & Jin, S. (eds.). SPIE, 125973Y. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12597).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Zhou, Y., Pang, T., Liu, K., Martin, C. H., Mahoney, M. W. & Yang, Y., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Citation (Scopus) -
Frequentist multi-Armed bandits for complex reward models
Chen, H., Deng, W., Liu, K. & Wu, T., 2022, 2021 International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2021. Yin, H-M., Chen, K., Mestrovic, R. & Oliveira, T. A. (eds.). SPIE, 121631P. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12163).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Whittle index for restless bandits with expanding state spaces
Liu, K., 2020, In: Numerical Mathematics. 42, 4, p. 372-384 13 p., 19090.Research output: Contribution to journal › Article