Zhe Yang

Hello, I'm

Zhe Yang

MSAI @ MMLab, NTU · Advised by Prof. Ziwei Liu

currently thinking about multimodal agents_

April 2026 — HippoCamp & FileGram in submission · next up: world models

zhe012@e.ntu.edu.sg · +65 8264 4077
CV

About

I am a Master's student in Artificial Intelligence (MSAI) at Nanyang Technological University, where I am fortunate to be advised by Prof. Ziwei Liu at MMLab.

Before NTU, I received my B.Sc. in Computer Science with First Class Honor from The Chinese University of Hong Kong, where I was fortunate to work with Prof. Michael R. Lyu at ARISE Lab.

I am currently excited about multimodal agents and world models.

Publications

Under Review HippoCamp teaser

HippoCamp: Benchmarking Contextual Agents on Personal Computers

Zhe Yang, Shulin Tian, Kairui Hu, Shuai Liu, Hoang-Nhat Nguyen, Yichi Zhang, Zujin Guo, Mengying Yu, Zinan Zhang, Jingkang Yang, Chen Change Loy, Ziwei Liu.

multimodal agents · contextual reasoning

Project Paper Code Dataset Video
Under Review FileGram teaser

FileGram: Grounding Agent Personalization in File-System Behavioral Traces

Shuai Liu, Shulin Tian, Kairui Hu, Yuhao Dong, Zhe Yang, Bo Li, Jingkang Yang, Chen Change Loy, Ziwei Liu.

personalization · file-system memory

arXiv HF Code App
TMLR 2026
LLM Memorization Compressibility

Data Compressibility Quantifies LLM Memorization

Yizhan Huang, Zhe Yang, Meifang Chen, Nianchen Huang, Jianping Zhang, Michael R. Lyu.

TMLR 2026 · memorization · data privacy

ACL 2025 Secret Leakage paper

Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective

Meifang Chen, Zhe Yang, Nianchen Huang, Yizhan Huang, Yichen Li, Zihan Li, Michael R. Lyu.

ACL 2025 Findings · NeurIPS 2025 DL4C Workshop

Paper
AINIT 2024
Information Extraction RAUIE

RAUIE: A Relation-Augmented Document-level Event Extraction Model Based on UIE

Y. Liang, H. Jia, L. Wang, Y. Huang, Zhe Yang.

event extraction · prompt learning

Paper

Experience

2025.09 – Now

Research Intern, MMLab, Nanyang Technological University

Advised by Prof. Ziwei Liu. Multimodal agents, contextual benchmarking, and personalized file-system memory.

2024.06 – 2025.05

Research Intern, ARISE Lab, The Chinese University of Hong Kong

Advised by Prof. Michael R. Lyu. LLM memorization, data privacy, and tokenization-related security.

2024.07 – 2024.08

Algorithm Intern, Geovis Technology Co., Ltd

Product R&D. Knowledge graphs, model fine-tuning, Neo4j pipelines, automated data acquisition.

2024.02 – 2024.03

Research Participant, Online Research Seminar

Advised by Prof. Dejan Marković. EEG signal processing and disease onset prediction.

2023.06 – 2023.09

Research Intern, IDEA Lab, The Chinese University of Hong Kong

Advised by Prof. Tsung-Yi Ho. Adversarial attacks on facial recognition systems.

Honors

2025
HKSAR Government Scholarship — Top 1% in Hong Kong
2024
Silver Award for Outstanding Academic Performance — Top 3% at CUHK
2022 – 2025
Dean's List — Top 10% in the department, CUHK
2021
CUHK Student Envoy

Skills & Education

Education
  • 2025.09 – Now M.S. in AI, NTU
  • 2021.09 – 2025.05 B.Sc. in CS, CUHK
  • 2023.07 Summer School, PKU
Technical
  • Languages Python, C/C++, Java, R, MATLAB
  • Tools PyTorch, Neo4j, MySQL, Linux, Git, LaTeX
  • Human Mandarin, English (GRE 322)