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Xun Wang - Ph.D. Student at CISPA
Ph.D. student at CISPA
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CV - Xun Wang
Curriculum Vitae of Xun Wang, Ph.D. student at CISPA specializing in turstworthy machine learning.
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Publications - Xun Wang
Research publications by Xun Wang on trustworthy machine learning.
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Structurally Prune Anything (SPA)
A universal structured pruning framework for neural networks that works across any architecture, framework, and training stage
Privacy-Preserving Soft Prompt Transfer (POST)
Efficient and privacy-preserving framework for transferring soft prompts between large language models with differential privacy guarantees
publications
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
A versatile structured pruning framework that works across any neural network architecture, framework, and training stage, introducing OBSPA for post-training pruning without fine-tuning.
arXiv preprint ,
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
A novel framework for transferring soft prompts between LLMs while preserving privacy through differential privacy and knowledge distillation techniques.
ICML 2025 ,
talks
Talk 1 on Relevant Topic in Your Field
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UC San Francisco, Department of Testing ,
Tutorial 1 on Relevant Topic in Your Field
UC-Berkeley Institute for Testing Science ,
Talk 2 on Relevant Topic in Your Field
London School of Testing ,
Conference Proceeding talk 3 on Relevant Topic in Your Field
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Testing Institute of America 2014 Annual Conference ,
teaching
Machine Learning
Undergraduate course, University 1, Department, 2014
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University 1, Department ,