Dr. Zhe Wang | Wireless Network | Best Researcher Award

Guangxi Minzu University, China.

Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University. He earned his PhD in Electric Power and Intelligent Information from Guangxi University in 2019. His research focuses on Simultaneous Wireless Information and Power Transfer (SWIPT), wireless power transfer, optimization, and AI applications. Dr. Wang has contributed significantly to the field of federated learning and privacy-preserving AI techniques, with publications in high-impact journals.

🎓 Education

Dr. Zhe Wang holds a PhD in Electric Power and Intelligent Information from Guangxi University, China, which he obtained in 2019. His academic journey has been centered on advancing research in wireless power transfer, optimization techniques, and AI applications in energy systems. With a strong foundation in electrical engineering and intelligent systems, Dr. Wang has contributed to cutting-edge innovations in Simultaneous Wireless Information and Power Transfer (SWIPT). His expertise bridges the gap between power systems and artificial intelligence, driving new methodologies for efficient and intelligent energy solutions.

💼 Experience

Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University, a position he has held since 2021. Prior to this, he served as a Lecturer at the School of Information Engineering at the same university from 2019 to 2020. His academic contributions focus on advancing research and education in artificial intelligence and information engineering, fostering innovation in these rapidly evolving fields.

📚 Publications

1️⃣ "A Review of Privacy-Preserving Research on Federated Graph Neural Networks"

Journal: Neurocomputing (2024)

Cited by: 2 articles

2️⃣ "A Review of Secure Federated Learning: Privacy Leakage Threats, Protection Technologies, Challenges, and Future Directions"

Journal: Neurocomputing (2023).

Cited by: 22 articles

Prof. Ping-Feng Xu | Mathematical Statistics | Best Researcher Award

Northeast Normal University, China.

Ping-Feng Xu is the Deputy Dean at Northeast Normal University, specializing in complex network analysis, graphical models, causal inference, educational statistics, and psychological measurement. He earned his degree in Probability Theory and Mathematical Statistics from Northeast Normal University in 2010. He has held visiting positions at Hong Kong Baptist University, University of Wisconsin-Madison, Hang Seng School of Management, and Hang Seng University of Hong Kong. With a strong research background, he has contributed significantly to structural learning, latent variable selection, and high-dimensional graphical models.

Profile

Orcid

Education 🎓

Prof. Ping-Feng Xu completed his undergraduate studies at Northeast Normal University in 2010, where he majored in Probability Theory and Mathematical Statistics. Following his academic foundation, he expanded his research and professional experience through visiting scholar positions at several prestigious institutions. These include Hong Kong Baptist University, where he gained insights into advanced statistical methods, University of Wisconsin-Madison, which enhanced his expertise in complex network analysis, Hang Seng School of Management in Hong Kong, and Hang Seng University of Hong Kong, where he collaborated on projects involving educational statistics and causal inference.

Experience 🏫

Prof. Ping-Feng Xu currently serves as the Deputy Dean at Northeast Normal University, where he plays a key role in academic leadership and research direction. His professional contributions extend beyond the university, as he holds influential positions in major academic organizations. Since April 2023, he has been the Vice Chairman of the Education Statistics and Management Branch of the Chinese Society of Applied Statistics, where he helps shape the development of statistical education in China. Additionally, he has served as the Executive Director of the Data Science and Artificial Intelligence Branch of the same society since March 2018, working to promote the integration of data science and AI in applied statistics.

Research Interests 🔬

Complex Network Analysis

Graphical Models

Causal Inference

Educational Statistics

Psychological Measurement

Awards & Recognitions 🏆

Vice Chairman, Education Statistics and Management Branch, Chinese Society of Applied Statistics

Executive Director, Data Science and Artificial Intelligence Branch, Chinese Society of Applied Statistics

Selected Publications 📚

The Improved EMS Algorithm for Latent Variable Selection in M3PL Model
Applied Psychological Measurement (2025)
Contributors: Laixu Shang, Ping-Feng Xu, Na Shan, Man-Lai Tang, Qian-Zhen Zheng

Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm
Mathematics (2025)
Contributors: Shanyi Lin, Qian-Zhen Zheng, Laixu Shang, Ping-Feng Xu, Man-Lai Tang

Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Journal of Educational and Behavioral Statistics (2024)
Contributors: Na, Ping-Feng Xu

A Generalized Expectation Model Selection Algorithm for Latent Variable Selection in Multidimensional Item Response Theory Models
Statistics and Computing (2024)
Contributors: Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan, Man-Lai Tang

Transmission Mechanisms of Geopolitical Risks to the Crude Oil Market—A Pioneering Two-Stage Geopolitical Risk Analysis Approach
Energy (2023)
Contributors: Jing-Wen Jiao, Jun-Ping Yin, Ping-Feng Xu, Juan Zhang, Yuan Liu

Dr. Zhe Wang | Wireless Network | Best Researcher Award

Profile

Scopus

🎓 Education

💼 Experience

🔬 Research Interests

🏆 Awards & Recognitions

📚 Publications