Xiaoze Liu
Summary
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SeniorXiaoze Liu is a PhD candidate and graduate research assistant at Purdue University with nine years of industry and research experience focused on post-training and alignment of large language models. His work—published at venues like ICLR and ACL and cited 1,000+ times—spans collaborative intelligence (mutual reinforcement learning, dynamic ensembling, federated preference optimization) and trustworthy compliance (reinforcement unlearning, agent-based defenses, knowledge-based calibration). He has interned at AWS AI Fundamental Research, Alibaba DAMO, and ByteDance, blending production-facing engineering with deep ML research. Based in West Lafayette, he combines a strong systems background from internships and a cross-cultural academic path (Zhejiang, Northeastern CN, Kanazawa) to uncover practical risks like model-merging supply-chain vulnerabilities while building mechanisms that make LLMs both more capable and more compliant.
9 years of coding experience
Github Skills (79)
python10
gpu10
llama10
llm10
swig10
minhash9
numpy9
vldb9
neural-network9
gpt9
transformer9
sentence9
deep-learning9
cpp9
pytorch9
Programming languages (7)
Github contributions (5)
xz-liu/file-compressor
Nov 2017 - Aug 2018
studying data structure
Contributions:1 release, 38 commits, 2 PRs in 9 months
data-structure
xz-liu/xz-liu.github.io
Aug 2023 - Jun 2026
Contributions:244 pushes, 4 branches in 2 years 11 months
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