Jingfeng Zhang

Jingfeng Zhang is a Lecturer at the University of Auckland's School of Computer Science and a Visiting Research Scientist at RIKEN Center for Advanced Intelligence Project. Holding a PhD from the National University of Singapore, he's supervised by Prof. Masashi Sugiyama at RIKEN and Prof. Mohan Kankanhalli at NUS.

• Education: PhD (2016-2020) at NUS, BEng (2012-2016) at Shandong University's Taishan College
• Current research focuses on Trustworthy Machine Learning, Adversarial Robustness, and Foundation Model Security

His publication history shows a strong focus on adversarial learning techniques across multiple top conferences (ICML, NeurIPS, ICLR). He's developed methods for improving model robustness against various attacks including backdoor attacks, clean-label poisoning, and adversarial noise. The work spans from theoretical foundations to practical implementations in neural network training.

He supervises several students including:

• Zihao Luo (Master's, UoA)
• Xin Chen (PhD, UoA with Prof. Gill Dobbie)
• Di Zhao (PhD, UoA with Prof. Yun Sun Koh and Prof. Gill Dobbie)

Professional service includes organizing workshops at ACML and TrustML, serving as Area Chair at SOICT, and reviewing for top venues in machine learning and AI.