Zi Liang (Research Page)

My name is Zi Liang, now a PhD student in the Astaple Group of Hong Kong Polytechnic University (PolyU). My supervisor is Prof. Haibo Hu. I begin my research in NEU (Shenyang) and Xi'an Jiaotong University (XJTU), under the supervision of Prof. Pinghui Wang and Ruofei (Bruce) Zhang. I also work closely with Yanyun Wang (HKUST-Guangzhou), Hongzong Li (HKUST), Xuan Liu (UCSD), Nuo Xu (Limix AI), Shuo Zhang (Huawei), Yaxin Xiao (HK PolyU), and Xinwei Zhang (HK PolyU).

I specialize in analyzing the potential risks inherent in language models, with a focus on understanding why and how neural networks function and identifying vulnerabilities within them. My research is driven by a deep curiosity to uncover the mechanisms behind these models and to address the security challenges they present.

My work can be categorized into two main areas:

• Enhancing Understanding of Models and Learning Processes: I aim to explain the root causes of issues in AI systems, examining how problems arise during model training and inference, and what they imply for the broader field of machine learning.
• Uncovering New Threats and Developing Defenses: I conduct comprehensive evaluations of popular AI services and techniques, combining in-depth theoretical analysis with practical experimentation;

1. 2016.09-2020.06: Bachelor Degree, in Northeastern University, on cybernetics (i.e., automation, or the Control Theory);
2. 2020.09-2023.06: Master Degree, in the iMiss Group of Xi'an Jiaotong University, on software engineering and research for Conversational AI and NLP Security;
3. 2023.11-now: PhD Student, in the The Hong Kong Polytechnic University in Hong Kong. Research of interests: AI safety, privacy and security and Natural Language Processing.

• GitHub: https://github.com/liangzid
• Mail: zi1415926.liang@connect.polyu.hk
• Google Scholar
• Wechat: paperacceptplease