Understanding Semantics from Speech Through Pre-training. - Pengwei Wang; Liangchen Wei; Yong Cao; Jinghui Xie; Yuji Cao; Zaiqing Nie (CoRR, 2019)

Linear-layer-enhanced quantum long short-term memory for carbon price forecasting. - Yuji Cao; Xiyuan Zhou; Xiang Fei; Huan Zhao 004; Wenxuan Liu; Junhua Zhao 001 (Quantum Mach. Intell., 2023)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - Yuji Cao; Huan Zhao 004; Yuheng Cheng; Ting Shu; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Yun Li 002 (CoRR, 2024)

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models. - Xiyuan Zhou; Huan Zhao 004; Yuheng Cheng; Yuji Cao; Gaoqi Liang; Guolong Liu; Junhua Zhao 001 (CoRR, 2024)

GAIA - A Large Language Model for Advanced Power Dispatch. - Yuheng Cheng; Huan Zhao 004; Xiyuan Zhou; Junhua Zhao 001; Yuji Cao; Chao Yang (CoRR, 2024)

A Differentially Private Energy Trading Mechanism Approaching Social Optimum. - Yuji Cao; Yue Chen (CoRR, 2024)

A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow. - Yuji Cao; Yue Chen; Yan Xu (CoRR, 2024)

Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning. - Shuyi Wang; Huan Zhao 004; Yuji Cao; Zibin Pan; Guolong Liu; Gaoqi Liang; Junhua Zhao 001 (CoRR, 2024)

Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response. - Jiaqi Ruan; Yifan Zhu; Yuji Cao; Xianzhuo Sun; Shunbo Lei; Gaoqi Liang; Jing Qiu 001; Zhao Xu 002 (IEEE Internet Things J., 2024)

Quantum Learning and Estimation for Distribution Networks and Energy Communities Coordination. - Yingrui Zhuang; Lin Cheng; Yuji Cao; Tongxin Li; Ning Qi; Yan Xu; Yue Chen (CoRR, 2025)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - Yuji Cao; Huan Zhao 004; Yuheng Cheng; Ting Shu; Yue Chen; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Jinyue Yan; Yun Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models. - Yiwen Liu; Chenyu Zhang; Junjie Song; Siqi Chen; Sun Yin; Zihan Wang; Lingming Zeng; Yuji Cao; Junming Jiao (CoRR, 2025)