Jialu Gao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Pareto Dominance

Reinforcement Learning

Portfolio Optimization

Complex Optimization Problems

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neural Comput. Appl.

Publications

Jialu Gao, Jianzhou Wang, Yilin Zhou, Mengzheng Lv, Danxiang Wei
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? Expert Syst. Appl. 244 (2024)
Mengzheng Lv, Jianzhou Wang, Shuai Wang, Jialu Gao, Honggang Guo
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III. Inf. Sci. 670 (2024)
Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS (2023)
Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang
Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? CoRR (2023)
Yan Hao, Yilin Zhou, Jialu Gao, Jianzhou Wang
A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management. Syst. 10 (5) (2022)
Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu
A Dual Representation Framework for Robot Learning with Human Guidance. CoRL (2022)
Chunsheng Fang, Jialu Gao, Dali Wang, Diansheng Wang, Ju Wang
Optimization of stepwise clustering algorithm in backward trajectory analysis. Neural Comput. Appl. 32 (1) (2020)