Justin Zhang ☕️
Justin Zhang

Software Engineer/Researcher

About Me

Feng Zhang (a.k.a Justin Zhang) is a seasoned software engineer, AI researcher, and tech lead with proven track records on building high-availability cloud-native micro-services and making AI run faster with less resource consumption with LLM quantization technologies. Feng graduated from Auckland University of Technology as a research master of Computer and Information Sciences. He received his bachelor degree of Computer Science and Engineering from Tongji University. Between the two full-time studies, Feng had been working over two decades in software development and leadership roles at companies of diverse scales such as YesMobile, Erry, MDCL, QAD, PingAn, Yidu, and UCloud. Feng’s research interests include LLM quantization, optimization, deep learning, generative AI. Feng is inspired daily by his wife, daughter, and chacha (an adopted stray cat). In his free time, justin likes jogging, hiking, badminton and contributes to various open-source projects.

Interests
  • Artificial Intelligence
  • Machine Learning
  • Large Language Model Quantization
  • Linear Programming
  • Cloud Computing
  • Containerization
  • Software Engineering
Education
  • Research Master Artificial Intelligence

    Auckland University of Technology

  • Bachelor Computer Science and Engineering

    Tongji University

🎯 Mission
My mission is to harness cutting-edge technologies—such as artificial intelligence—to build software and solutions that empower businesses and communities to thrive. Along the way, I strive to share insights and discoveries that advance the craft of building such systems with greater efficiency, intelligence, and impact.
Featured Publications
Recent Publications
(2025). Towards Superior Quantization Accuracy: A Layer-sensitive Approach.
(2025). A Mixed Quantization Approach for Data-Free Quantization of LLMs. In ICAART 2025.