Xinze Li
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Sinopec (China) (2019–2025); Hunan University of Science and Technology (2022); Southwest University of Science and Technology (2025); Shanghai Medical College of Fudan University (2025); Shanghai University of Engineering Science (2023); North China University of Technology (2022); University of Electronic Science and Technology of China (2025); Xinjiang Medical University (2022); University of Illinois Urbana-Champaign (2024); Southwest Petroleum University (2023); Nanyang Technological University (2019–2024); Jilin University of Finance and Economics (2020); Hebei University of Technology (2024); University of Toronto (2023–2026); Jilin University (2022); Hainan University (2018–2021); Ministry of Natural Resources (2024); Shanghai University of Electric Power (2023); Fudan University (2025–2026); Chang'an University (2022); China Electronics Technology Group Corporation (2025); Tianjin Medical University Cancer Institute and Hospital (2024); College of Medical Sciences (2025); ShanghaiTech University (2022); China University of Geosciences (Beijing) (2024); Chengdu University of Technology (2014); Beijing Forestry University (2023); Nanjing University of Science and Technology (2017); Beijing University of Technology (2024); Guilin University of Technology (2022–2025); Jilin Jianzhu University (2022); State Key Laboratory of Pollution Control and Resource Reuse (2017); Zhengzhou University of Science and Technology (2023); Health Commission of Jilin Province (2023); Shaanxi Xueqian Normal University (2022); Air Force Engineering University (2022); Aerospace Research Institute of Materials and Processing Technology (2025); ECSI Fibrotools (United States) (2026); State Forestry and Grassland Administration (2023); Jilin Medical University (2022); Yunnan Open University (2018–2021); PLA Army Engineering University (2025); Dalian Maritime University (2019); China Agricultural University (2022); Southern Medical University (2021); Nagoya University (2017); Beijing University of Chemical Technology (2020–2021); Zhejiang University (2022–2026); Universidad del Noreste (2025); Xi'an Jiaotong University (2021–2023); Beijing Sport University (2025); Dalian Polytechnic University (2024); South China University of Technology (2023–2024); Northeastern University (2021–2024); Tsinghua University (2017–2021); Aalto University (2023–2025)
Faculty Researcher
Upstream record may be merged OpenAlex, the source of these figures, lists 57 institutions in 8 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Xinze Li's research focuses on the application of artificial intelligence (AI) in power electronics and related engineering fields. He has published work on AI-based design methodologies for circuit parameters in power converters, including dual active bridge (DAB) converters. His research in this area explores techniques such as triple phase-shift modulation and hybrid extended phase shift modulation to optimize converter performance, minimize current stress, and achieve full ZVS range with optimal efficiency. Li also investigates AI applications for data augmentation, specifically using large language models (LLMs) from a data perspective, exploring learning paradigms and challenges.
His scholarship extends to other engineering domains, including the design methodology for symmetric CLLC resonant DC transformers, considering voltage conversion ratio, system stability, and efficiency. Additionally, he has contributed to research on consecutively missing seismic data interpolation using coordinate attention UNet. Li leads a research group and has an h-index of 21 with 188 publications and 1,580 citations.
Metrics
- h-index: 22
- Publications: 188
- Citations: 1,702
Selected Publications
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Quantum computing for smart grid (2026)
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Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design (2026)
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Toward Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt (2026)
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Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling (2026)
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Machine Learning and Meta-Heuristic Optimization in Power Electronics: Multi-Objective Synchronous Buck Converter Design and Component Selection (2025)
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Generalized Waveform Modeling for Dual Active Bridge with Graph Neural Networks (2025)
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GNN4W: Graph Neural Network for Dual Active Bridge Converter Waveform Modeling with Operational Generalization (2025)
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Enhanced Triple Phase Shift Modulation with Loss Redistribution for Dual-Active-Bridge DC-DC Converters (2025)
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Circuit-to-Graph: Power Converters Modeling With Multidimensional Generalization (2025)
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Data-Driven Optimization for Neutral-Point-Clamped Dual-Active-Bridge Converter with Zero-Voltage-Zero-Current Switching (2025)
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An Isolated Triple-Active-Bridge Converter With Highly Dynamic and Adaptive Power Decoupling Control (2025)
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NeurPecs: Physics-Informed AI-Based Adaptive Circuit Simulator for Power Converters (2025)
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Graph Neural Network Based Performance Modeling for the Dual Active Bridge Converter with Operational Generalization (2025)
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PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design (2024)
Collaboration Network
Top Collaborators
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
- Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling
- Generalized Waveform Modeling for Dual Active Bridge with Graph Neural Networks
- Toward Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt
Showing 5 of 6 shared publications
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A New Paradigm for Power Electronics Design
- PE-GPT: A New Paradigm for Power Electronics Design
- A Cubic Wireless Charging Container System With Highly Uniform Magnetic Field Distribution
- A Cubic Wireless Charging Container System With Highly Uniform Magnetic Field Distribution
- A Cubic Wireless Charging Container System With Highly Uniform Magnetic Field Distribution
- A Cubic Wireless Charging Container System With Highly Uniform Magnetic Field Distribution
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
- PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
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