Optimization of stepwise clustering algorithm in backward trajectory analysis. - Chunsheng Fang; Jialu Gao; Dali Wang; Diansheng Wang; Ju Wang (Neural Comput. Appl., 2020)

A Dual Representation Framework for Robot Learning with Human Guidance. - Ruohan Zhang; Dhruva Bansal; Yilun Hao; Ayano Hiranaka; Jialu Gao; Chen Wang 053; Roberto Martín-Martín; Li Fei-Fei 001; Jiajun Wu 001 (CoRL, 2022)

A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management. - Yan Hao; Yilin Zhou; Jialu Gao; Jianzhou Wang (Syst., 2022)

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? - Jialu Gao; Kaizhe Hu; Guowei Xu 001; Huazhe Xu (NeurIPS, 2023)

Improving Multispike Learning With Plastic Synaptic Delays. - Qiang Yu 005; Jialu Gao; Jianguo Wei; Jing Li; Kay Chen Tan; Tie-Jun Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Visual Data Diagnosis and Debiasing with Concept Graphs. - Rwiddhi Chakraborty; Yinong Wang; Jialu Gao; Runkai Zheng; Cheng Zhang 014; Fernando De la Torre (NeurIPS, 2024)

Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? - Jialu Gao; Jianzhou Wang; Yilin Zhou; Mengzheng Lv; Danxiang Wei (Expert Syst. Appl., 2024)

Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III. - Mengzheng Lv; Jianzhou Wang; Shuai Wang; Jialu Gao; Honggang Guo (Inf. Sci., 2024)

Hybrid wind speed optimization forecasting system based on linear and nonlinear deep neural network structure and data preprocessing fusion. - Jiyang Wang; Jifeng Che; Zhiwu Li 001; Jialu Gao; Linyue Zhang (Future Gener. Comput. Syst., 2025)

A multi-input and three-output wind speed point-interval prediction system based on constrained many-objective optimization problem. - Mengzheng Lv; Jianzhou Wang; Shuai Wang; Kang Wang; Yang Zhao; Jialu Gao (Inf. Sci., 2025)