Author

Yuhao Wu

Observed name: Wu, Yuhao

Institutions: Singapore University of Technology and Design, Yangtze River Delta Physics Research Center (China), Palo Alto Networks (United States)

Observed institutions: Singapore University of Technology and Design, Yangtze River Delta Physics Research Center (China), Palo Alto Networks (United States)

OpenAlex ID: A5125697166

Sparse bounds and joint oscillation for bilinear rough commutators

2026 · Wu, Yuhao · arXiv (Cornell University)

Bait-and-Recover: Poisoning Internal Refusal Signals to Defend LLMs against White-Box Editing Jailbreaks

2026 · Gao, Tian, Xie, Zhipeng, et al. · arXiv (Cornell University)

Sparse bounds for maximal rough singular integrals

2026 · Wu, Yuhao · arXiv (Cornell University)

S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?

2026 · Shi, Jiajun, Tao, Siyuan, et al. · arXiv (Cornell University)

Aspire: Can Models Self-Evolve from Vague Goals?

2026 · Wu, Yuhao, Zhang, Jingyuan, et al. · arXiv (Cornell University)

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills

2026 · Liu, Hongliang, Wu, Yuhao, et al. · arXiv (Cornell University)

Diagnosing Harmful Continuation in Answer-Correct Long-CoT Training Traces

2026 · He, Chen, Wu, Yuhao, et al. · arXiv (Cornell University)

Behavioral Integrity Verification for AI Agent Skills

2026 · Wu, Yuhao, Li, Tung-Ling, et al. · arXiv (Cornell University)

Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities

2026 · Ying, Shuangshuang, Wang, Zheyu, et al. · arXiv (Cornell University)

State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis

2026 · Association for Artificial Intelligence 2026, Li, Chao, et al. · Underline Science Inc.

1260 - State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis

2026 · Association for Artificial Intelligence 2026, Li, Chao, et al. · Underline Science Inc.

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

2026 · Association for Artificial Intelligence 2026, Cai, Kaiquan, et al. · Underline Science Inc.

Advances in Imperfect Supervision: From Multiple Unlabeled Sets to Weakly-Annotated Graphs

2025 · Wu, Yuhao · The Sydney eScholarship Repository (The University of Sydney)

Works count: 13

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