Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. - Shilong Deng; Zetao Zheng; Hongcai He; Jie Shao 001 (ADMA (2), 2023)

Modeling Both Collaborative and Temporal Information for Sequential Recommendation. - Jinyue Dai; Jie Shao 001; Zhiyi Deng; Hongcai He; Feiyu Chen 001 (ICONIP (9), 2023)

Manifold Regularized Joint Transfer for Open Set Domain Adaptation. - Jieyan Liu; Hongcai He; Mingzhu Liu; Jingjing Li 001; Ke Lu 001 (IEEE Trans. Multim., 2023)

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. - Hongcai He; Anjie Zhu; Shuang Liang 002; Feiyu Chen 001; Jie Shao 001 (AAAI, 2024)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker. - Jiangdong Fan; Hongcai He; Paul Weng; Hui Xu; Jie Shao (CoRR, 2024)

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. - Shilong Deng; Zetao Zheng; Hongcai He; Paul Weng; Jie Shao 001 (AAAI, 2025)

Hands-Free: Action Abstraction With Hierarchical Reinforcement Learning in Text-Based Games. - Anjie Zhu; Hongcai He; Yongjun Yang; Zetao Zheng; Jie Shao 001 (IEEE Trans. Consumer Electron., 2025)