I am a PhD student in Electrical Engineering at Chongqing University. Previously, I was a Master’s student in Electronic Information at Shanghai Dianji University, and I received my B.Eng. in Software Engineering from Anhui Xinhua University. My research interests focus on large language models, reinforcement learning, and integrated energy systems, with 7+ papers accepted or published.
Research interests:
- Large Language Models (LLMs)
- Reinforcement Learning
- Integrated Energy Systems
🎓 Education
- 2026.09 - Present, Chongqing University, Electrical Engineering, Chongqing, PhD
- 2023.09 - 2026.03, Shanghai Dianji University, Electronic Information, Shanghai, M.S.
- 2018.09 - 2022.07, Anhui Xinhua University, Software Engineering, Hefei, B.Eng.
📝 Publications
Selected Publications
Yang Ye, Donghe Li, et al. MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs’ Resilience to Misinformation. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. (CCF-B, accepted) [Page]
Yang Ye, et al. Human-in-the-Loop Battery Scheduling in Buildings via Intent-Guided Rule–Reinforcement Learning. IEEE Internet of Things Journal, 2025. (indexed) [Page]
Yang Ye, Donghe Li, et al. Detection and Correction of Driver Mode Confusion Using LLM-Based Semantic Feedback in SAE Level 2 Automation. IEEE Intelligent Transportation Systems Conference (ITSC), 2025. (accepted)
-
Yang Ye, Qingyu Yang, Donghe Li, et al. LLM-MAC: LLM-Driven Multi-Agent Coordination for Generalizable Home Energy Management. Chinese Control Conference (CCC), 2025. (indexed) [Page] -
Yang Ye, Rong Hu, et al. LLM-BAS: Large Language Model-Based Battery Health-Aware Scheduling in Building Energy Systems. IEEE-China Conference on System Simulation Technology and its Applications (CCSSTA), 2025. (indexed) [Page] -
Yang Ye, Qingyu Yang, et al. Large Language Model-Driven Rule Synthesis for Adaptive Household Energy Management. Cyber-Physical Energy Systems, 2026. (accepted) [DOI] [Page] -
Rong Hu,
Yang Ye(co-corresponding), et al. Large Language Model Driven Transferable Key Information Extraction Mechanism for Nonstandardized Tables. Scientific Reports, 2025. (indexed) [Page]
Collaborative Papers
-
Li Jiaheng, Li Donghe,
Yang Ye, et al. Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-Based Framework with Multi-task Learning. Neurocomputing, 2025, 654: 131288. (indexed) [Page] -
Li Jiaheng, Liu Ruosong,
Yang Ye, et al. LAISA: Large-language Agent for Industrial State Assessment. 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA), 2025: 977–982. (indexed) -
Liu Sen, Hu Rong,
Yang Ye, et al. LLM-BEM: Zero-shot LLM-Agent Scheduling for Smart Building Energy Management. 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA), 2025: 69–74. (indexed) -
Yu Wanju, Li Donghe,
Yang Ye, et al. Large Language Model-Guided Gear-Shifting Optimization for Energy-Saving Rail Operations. IEEE Intelligent Transportation Systems Conference (ITSC), 2025. (accepted)
Software Copyright
Yang Ye. An intelligent categorization platform for university technical exchange.
🏅 Honors & Awards
- 2023 Shanghai Dianji University Graduate Academic Scholarship (Third Class)
- 2024 Shanghai Dianji University Graduate Academic Scholarship (Third Class)
- 2025 Shanghai Dianji University Graduate Academic Scholarship (First Class)
- 2025 National Graduate Scholarship
💻 Work Experience
- 2025.05 - 2025.09, Fangzhou Intelligent Port & Customs Services (Qingdao) Co., Ltd., Qingdao Port Group, Qingdao
- 2024.01 - 2025.02, Shanghai E-Tong International Co., Ltd., Shanghai