👤 About Me

I am currently a Master’s student at the School of Integrated Circuits, Wuhan University. Previously, I completed my undergraduate studies in Communication Engineering at the School of Information Engineering, Wuhan University of Technology.

My research interests are broad and interdisciplinary, encompassing AI for Science, AI for Medicine, and thermoelectric devices. I am particularly passionate about leveraging artificial intelligence to advance natural science and healthcare research.

• AI-driven data science is a new paradigm in scientific discovery, significantly accelerating the exploration of materials space;
• I also explore the application of AI methods in biomedical research, aiming to uncover hidden associations between diseases and physiological characteristics;
• Thermoelectric materials and devices show great promise as power supplies and sensors. When integrated with signal processing techniques, they offer exciting potential in health monitoring and energy harvesting.

If you’re interested in my work, feel free to reach out!
👉📧 Email me

📖 Educations

• 2023.09 - 2026.06, M. Sc. degree, School of Integrated Circuits, Wuhan University
• 2019.09 - 2023.06, B. Sc. degree, School of Information Engineering, Wuhan University of Technology
• 2016.09 - 2019.06, High school, Ouhai Middle School, Zhejiang Province

  📝 Publications

  (*Corresponding Author)

Appl. Mater. Today

A machine learning-based framework for predicting the power factor of thermoelectric materials

Yuxuan Zeng, Wei Cao*, Tan Peng, Yue Hou, Ling Miao, Ziyu Wang*, Jing Shi

Code and data

• Applied Materials Today (Appl. Mater. Today), 2025 (SCI Q2)

Mater. Futures

Accelerating the discovery of materials with expected thermal conductivity via a synergistic strategy of DFT and interpretable deep learning

Yuxuan Zeng, Wei Cao*, Yijing Zuo, Tan Peng, Yue Hou, Ling Miao, Ziyu Wang*, Jing Shi

Code and data

• Materials Futures (Mater. Futures), 2025 (SCI Q1)

npj Comput. Mater.

Accelerating Multi-Objective Collaborative Optimization of Doped Thermoelectric Materials via Artificial Intelligence

Yuxuan Zeng, Wenhao Xie, Wei Cao*, Tan Peng, Yue Hou, Ziyu Wang*, Jing Shi

Code and data

• npj Computational Materials (npj Comput. Mater.) (under review), 2025 (SCI Q1)

npj Digit. Med.

Artificial intelligence-driven multivariate integration for pulmonary arterial pressure prediction in pulmonary hypertension

Yuxuan Zeng, Gonghao Ling, Haojie Zhang, Wei Cao, Xuan Zheng*, Xiaoxian Deng, Lan Lan, Rongqing Sun, Xintian Liu, Lin Tian, Haibo Xu*, Ziyu Wang* & Gangcheng Zhang*

Code and data

• npj Digital Medicine (npj Digit. Med.), 2025 (SCI Q1)

Phys. Rev. Appl.

Learning Thermoelectric Transport from Crystal Structures via Multiscale Graph Neural Network

Yuxuan Zeng, Wei Cao*, Yijing Zuo, Fang Lyu, Wenhao Xie, Tan Peng, Yue Hou, Ling Miao, Ziyu Wang*, Jing Shi

Code and data

• Physical Review Applied (Phys. Rev. Appl.) (under review), 2025 (SCI Q2)

🥇 Selected Honors and Awards

• 2025.12, ASML Scholarship of the School of Integrated Circuits, Wuhan University (武汉大学集成电路学院阿斯麦奖学金)
• 2023.06, Excellent BSc Thesis Award, Wuhan University of Technology (武汉理工大学优秀学士学位论文)
• 2021.10, Third Prize, Undergraduate Group, 11th MathorCup Mathematical Modeling Challenge (第十一届MathorCup高校数学建模挑战赛本科组三等奖)
• 2022.06, Third-class Scholarship, Wuhan University of Technology (武汉理工大学三等奖学金, 2021–2022)
• 2021.06, Second-class Scholarship, Wuhan University of Technology (武汉理工大学二等奖学金, 2020–2021)
• 2022.06, Merit Student of the School, Wuhan University of Technology (武汉理工大学院三好学生, 2021–2022)
• 2021.06, Merit Student of the University, Wuhan University of Technology (武汉理工大学校三好学生, 2020–2021)
• 2020.06, Merit Student of the School, Wuhan University of Technology (武汉理工大学院三好学生, 2019–2020)