CV
Basics
| Name | Hongxiang Zhang |
| Label | Ph.D. Student in Computer Science |
| hxxzhang@gmail.com | |
| Phone | (530) 564-2580 |
Work
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2022.12 - 2024.06 Teaching Assistant
University of California, Davis
- ECS 153 Computer Security.
- ECS 036A Programming and Problem Solving.
- ECS 036C Data Structures, Algorithms, and Programming.
- ECS 140A Programming Languages.
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2022.02 - 2022.07 Software and Operations Engineering Intern
Volkswagen Group China
- Implemented data masking and auto-populated JIRA logs in Python.
- Analyzed service and financial data with Tableau to support CIO-level strategy decisions.
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2020.12 - 2021.02 Quality Assurance Intern
Didi Global
- Developed distributed Java invoice services to support communication between servers and end-user devices.
- Automated unit testing with JUnit and Redis-backed test cases.
Education
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2025.08 - Present West Lafayette, Indiana
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2022.09 - 2025.06 Davis, California
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2020.07 - 2022.09 Canberra, Australia
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2018.09 - 2022.06 Shandong, China
Certificates
| Microsoft Certified: Azure Fundamentals | ||
| Microsoft | 2022 |
Publications
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2026 LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
AST 2026
LLM-enhanced greybox fuzzing that learns structured input formats and mutation strategies.
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2026 FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement
Under review
Efficient code refinement with a lightweight line-level fault localizer and test-time scaling.
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2026 Enhancing Multi-Agent Communication through Attention Steering with Context Relevance
Under review
Training-free context management for multi-agent systems with attention steering and temporal/spatial decay.
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2025 Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
EMNLP 2025 Main
RL-guided layer-contrastive decoding for reducing hallucinations in large language model generation.
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2025 Attention-Aligned Reasoning for Large Language Models
Under review
Reasoning-time attention alignment and prompt engineering for keeping LLMs focused on prompts and intermediate goals.
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2024 SteerDiff: Steering towards Safe Text-to-Image Diffusion Models
arXiv preprint
Safe generative AI through lightweight prompt steering for text-to-image diffusion models.