RAGIC: Risk-Aware Generative Framework for Stock Interval Construction.
IEEE Trans. Knowl. Data Eng., April, 2025
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction.
CoRR, 2024
HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting.
CoRR, 2024
Self-Supervised Learning for User Localization.
Proceedings of the International Conference on Computing, Networking and Communications, 2024
DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network.
CoRR, 2023
Prediction with Time-Series Mixer for the S&P500 Index.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023
Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and Constraints.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Integrative analysis of differential miRNA and functional study of miR-21 by seed-targeting inhibition in multiple myeloma cells in response to berberine.
BMC Syst. Biol., 2014