Prof. Dr. Peng Zhang | Anomaly detection | Excellence in Research Award 

Prof. Dr. Peng Zhang, Guangzhou University, China

Professor Peng Zhang is a renowned scholar in machine learning, data mining, and artificial intelligence, currently serving as a professor at Guangzhou University. He holds a Ph.D. from the University of Chinese Academy of Sciences and has held academic and industry roles at institutions such as the University of Technology Sydney, Texas State University, and Alibaba Group. His research focuses on deep learning, graph data mining, and online learning, with numerous high-impact publications in top-tier journals such as IEEE TPAMI, TKDE, and TNNLS. He has served as a senior program committee member for prestigious conferences like NeurIPS, ICML, ICLR, KDD, and AAAI, and is an editorial board member for the Journal of Big Data and Annals of Data Science. Professor Zhang’s contributions bridge academia and industry, advancing intelligent systems through both foundational research and applied innovation.

Professional Profile:

GOOGL:E SCHOLAR

Suitability for the Research for Excellence in Research Award: Peng Zhang

Summary of Suitability

Academic Excellence and Research Depth:
Dr. Peng Zhang exemplifies outstanding academic leadership in the fields of machine learning, deep learning, data mining, and graph neural networks. His research career spans more than two decades, culminating in a professorship at Guangzhou University. He holds a Ph.D. from the University of Chinese Academy of Sciences and has amassed a body of influential work, including several highly cited papers. His 2021 IJCAI paper on Graph Neural Architecture Search alone has over 200 citations, reflecting cutting-edge contributions in AI.

🎓 Education

• Ph.D. in Computer Science
  University of Chinese Academy of Sciences (2004.9 – 2009.7)

• B.Sc. in Computer Science
  Nanchang University (1999.9 – 2003.7)

💼 Work Experience

• Professor, Guangzhou University (2021.4 – Present)

• Senior Staff Engineer, Alibaba Group & Ant Group (2016.4 – 2021.3)

• Lecturer, University of Technology Sydney, Australia (2014.1 – 2016.3)

• Assistant/Associate Professor, University of Chinese Academy of Sciences (2009.7 – 2014.1)

• Postdoctoral Researcher, Texas State University, USA (2011.3 – 2012.3)

🏆 Achievements, Awards & Honors

• 🧠 Senior PC Member at premier AI/ML conferences:
  ICLR, ICML, NeurIPS, AAAI, KDD (2015 – Present)

• 📝 Editorial Board Member
  Springer Journal of Big Data and Annals of Data Science (2013 – Present)

• 📚 Published multiple high-impact CCF-A ranked papers in TPAMI, TKDE, TNNLS, and TOC

• 🌟 Developed influential methods like E-Tree for data streams, and introduced novel approaches in graph classification and sparse neural networks

• 🌐 Recognized contributor in deep learning, data mining, AI, and ensemble models

Publication Top Notes: