Hanxiao Lu

CS PhD student

About Me

I am a 1st year PhD student in Computer Science at Purdue University, working under Dr. Tianyi Zhang. I earned my Master’s degree in Computer Science from Columbia University and my Bachelor’s degree in Computer Engineering from the University of Illinois Urbana-Champaign. My research interests lie at the intersection of Software Engineering and Large Language Models.

Before starting my PhD studies, I had the opportunity to work as a research assistant in several esteemed groups: the Software Engineering group at UIUC of Dr. Lingming Zhang, Purdue Pursec group of Dr. Z. Berkay Celik and Dr. Antonio Bianchi, and IIT’s TIML Lab of Dr. Ren Wang.

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Interests

Software Engineering
Large Language Models
Code Generation

Education

PhD Computer Science
Purdue University
MS Computer Science
Columbia University
BEng Computer Engineering
University of Illinois Urbana Champaign

Publications

Ziqi Zhang, Ali Shahin Shamsabadi, Hanxiao Lu, Yifeng Cai, Hamed Haddadi (2025). Membership and Memorization in LLM Knowledge Distillation. In EMNLP 2025.

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Hwiwon Lee, Ziqi Zhang, Hanxiao Lu, Lingming Zhang (2025). SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks. to appear In NeurIPS 2025.

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Hanxiao Lu, Hongyu Cai, Yiming Liang, Antonio Bianchi, Z. Berkay Celik (2025). A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer. In SANER 2025.

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Hanxiao Lu, Zeyu Huang, Ren Wang (2025). Purification of contaminated convolutional neural networks via robust recovery: An approach with theoretical guarantee in one-hidden-layer case. In JSTSP 2025.

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Hanxiao Lu, Zeyu Huang, Ren Wang (2023). Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. In ICLR workshop TML4H 2023.

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