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Author

Tu Ouyang

Observed names: Ouyang, Tu, T. Ouyang
Observed institution: Case Western Reserve University
ORCID: 0000-0002-5432-5391
Observed ORCID: 0000-0002-5432-5391
OpenAlex ID: A5057653595
Delivery of drugs into brain tumors using multicomponent silica nanoparticles
2019 · O. Turan, P. Bielecki, et al. · Nanoscale · 51
A large-scale empirical analysis of email spam detection through network characteristics in a stand-alone enterprise
2013 · Tu Ouyang, Soumya Ray, et al. · Computer Networks · 30
Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise?
2011 · Tu Ouyang, Soumya Ray, et al. · Lecture notes in computer science · 11
Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation
2025 · Haonan Shi, Tu Ouyang, et al. · Proceedings on Privacy Enhancing Technologies · 5
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Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
2024 · Haonan Shi, Tu Ouyang, et al. · IEEE European Symposium on Security and Privacy · 5
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Dynamic TCP Proxies: Coping with Disadvantaged Hosts in MANETs
2009 · Tu Ouyang, Shudong Jin, et al. · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW) · 3
Leveraging Modern Big Data Stack for Swift Development of Insights into Social Developments
2022 · He Huang, Yixin He, et al. · Lecture notes in electrical engineering · 2
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EASE: Practical and Efficient Safety Alignment for Small Language Models
2026 · Haonan Shi, Guoli Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
Weeding spammers at the root: A precise approach to spam reduction
2008 · Tu Ouyang, Michael Rabinovich · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 1
Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning
2026 · Guoli Wang, Haonan Shi, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
EASE: Practical and Efficient Safety Alignment for Small Language Models
2026 · Association for Artificial Intelligence 2026, Ouyang, Tu, et al. · Underline Science Inc.
1065 - EASE: Practical and Efficient Safety Alignment for Small Language Models
2026 · Association for Artificial Intelligence 2026, Ouyang, Tu, et al. · Underline Science Inc.
Beyond Token Positions: Safety Alignment Across Denoising Steps in Diffusion Language Models
2026 · Guoli Wang, Haonan Shi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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EASE: Practical and Efficient Safety Alignment for Small Language Models
2025 · Shi, Haonan, Wang, Guoli, et al. · arXiv (Cornell University)
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Poster: Measuring Algorithmic Systems' Resilience Against Generative AI-Powered Attacks -- Case Study on Exploiting a Code Search Platform
2025 · Nathaniel Hahn, Tu Ouyang, et al. · ACM Internet Measurement Conference (IMC)
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Large Language Models on Mobile Devices: A Measurement Study of Single- and Multi-Instance Execution
2025 · Qingzhe Guo, Tu Ouyang, et al.
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
2025 · Haonan Shi, Tu Ouyang, et al. · International World Wide Web Conference (WWW)
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Lifting Existing Applications to the Cloud: Abstractions, Separation of Responsibilities and Tooling Support
2022 · He Huang, Zhicheng Zeng, et al. · International Conference on Enterprise Information Systems
Works count: 18
Citation count: 109
H-index: 5
I10-index: 3
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