Research output per year
Research output per year
Research activity per year
1. Big Data Competition First Prize Award in CyberC22
2. Bes Student Paper Award in DigiCon22
3. The Best Poster Award in 2022 XJTLU Postgraduate Research Symposium
4. Big Data Competition Second Prize Award in CyberC23
5. Best Oral Presentation Award in CCEAI2024
EI Conference Papers :
1. Liu, Y.; Man, K.; Li, G.; Payne, T.R.; Yue, Y. Dynamic Pricing Strategies on the Internet. In Proceedings of the International Conference on Digital Contents: AICo (AI, IoT and Contents) Technology, Jeju, Republic of Korea, 23–26 December 2022
2. Liu, Y.; Man, K.; Li, G.; Payne, T.; Yue, Y. Enhancing Sparse Data Performance in E-Commerce Dynamic Pricing with Reinforcement Learning and Pre-Trained Learning. In Proceedings of the 2023 International Conference on Platform Technology and Service (PlatCon), Busan, Republic of Korea, 16–18 August 2023; pp. 39–42.
3. Liu, Y.; Man, K.; Li, G.; Payne, T.; Yue, Y. Evaluating and Selecting Deep Reinforcement Learning Models for Optimal Dynamic Pricing: A Systematic Comparison of PPO, DDPG, and SAC; Association for Computing Machinery: New York, NY, USA, 2023.
SCI Papers:
1. Liu, Y.; Mikriukov, D.; Tjahyadi, O.C.; Li, G.; Payne, T.R.; Yue, Y.; Siddique, K.; Man, K.L. Revolutionising Financial Portfolio Management: The Non-Stationary Transformer’s Fusion of Macroeconomic Indicators and Sentiment Analysis in a Deep Reinforcement Learning Framework. Appl. Sci. 2024, 14, 274.
Research output: Contribution to conference › Paper › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to conference › Paper › peer-review