CV

Zehua Zhang

Third-Year PhD Student in Computer Science

zzhan645@asu.edu
617-893-9077
Tempe, AZ, US

Summary

Third-year PhD student at Arizona State University researching natural language processing, LLM post-training, multi-agent systems, and AI for software security.

Education

  • PhD in Computer Science
    Expected Spring 2028
    Arizona State University
    GPA: 3.67 / 4.0
  • M.S. in AI Engineering - Information Security
    May 2024
    Carnegie Mellon University
    GPA: 3.7 / 4.0
  • B.A. in Computer Science and Economics
    May 2022
    Boston College
    GPA: 3.65 / 4.0

Work Experience

  • Research Intern
    May 2026 - Aug 2026
    Samsung Research America
    Conducted research on indirect prompt injection vulnerabilities in LLM-based agentic systems.
    • Developed a gym-like environment for scalable training-data sampling and generation.
    • Trained LLMs using supervised fine-tuning and reinforcement learning methods, including DPO and GRPO.
    • Achieved state-of-the-art performance on AgentDojo and AgentDyn.
  • Algorithm Development Intern
    June 2021 - Sept 2021
    Sohu Inc.
    Designed and deployed a real-time feed deduplication system for a social media application.
    • Used Kafka, Spark, simhash, and Bloom filters for large-scale multimedia deduplication.
    • Reduced repetitive text exposure by approximately 90% and duplicate video content by approximately 30%.

Skills

Programming

  • Python
  • C
  • Scala
  • Java
  • R
  • Swift
  • JavaScript
  • HTML
  • CSS

ML/DL Frameworks

  • PyTorch
  • TensorFlow
  • PyG
  • Verl
  • vLLM

Data and Distributed Systems

  • Spark
  • Kafka
  • Kubernetes

Cloud and Databases

  • MySQL
  • MongoDB
  • Hive
  • HBase
  • GCP
  • AWS

Software Development

  • React
  • iOS
  • Docker
  • MCP

Publications

  • CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents
    2026
    EMNLP 2026 Main Conference
    Co-first author.
  • Build-Bench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
    2026
    Transactions on Machine Learning Research (TMLR)
    First author.
  • When Competency in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers
    2025
    NeurIPS 2025 Reliable ML from Unreliable Data Workshop
  • Masked Pretraining Strategy for Neural Potentials
    2024
    AIP Advances
    First author.
  • Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
    2024
    arXiv preprint
    Co-first author.
  • One first-authored paper submitted to NDSS 2027
    2026
    Under review
    First author.

Teaching

  • Information Assurance (CSE 365)
    2026
    Arizona State University
    Role: Graduate Teaching Assistant
    Grading, office hours, and student support.
  • Natural Language Processing (CSE 576)
    2024
    Arizona State University
    Role: Guest Lecturer
    Delivered a lecture about language model-based agents.
  • Randomness and Computation (CSCI2244)
    2021
    Boston College
    Role: Undergraduate Teaching Assistant
    Grading, office hours, and student support.
  • Web Application Development (CSCI2254)
    2022
    Boston College
    Role: Undergraduate Teaching Assistant
    Grading, office hours, and student support.

Interests

  • Research
    Natural Language Processing, LLM Post-Training, Multi-Agent Systems, AI for Software Security