Yuanhe Zhang

According to our database1, Yuanhe Zhang authored at least 28 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Structure-Guided Visual Perturbation Neutralization for LVLMs.
CoRR, May, 2026

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs.
CoRR, May, 2026

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook.
CoRR, May, 2026

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models.
CoRR, March, 2026

Resource Consumption Threats in Large Language Models.
CoRR, March, 2026

MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents.
CoRR, February, 2026

RECUR: Resource Exhaustion Attack via Recursive-Entropy Guided Counterfactual Utilization and Reflection.
CoRR, February, 2026

From Helpfulness to Toxic Proactivity: Diagnosing Behavioral Misalignment in LLM Agents.
CoRR, February, 2026

Statistical Learning Theory in Lean 4: Empirical Processes from Scratch.
CoRR, February, 2026

SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models.
CoRR, January, 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems.
CoRR, December, 2025

DAG-Math: Graph-Guided Mathematical Reasoning in LLMs.
CoRR, October, 2025

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation.
CoRR, July, 2025

RECALLED: An Unbounded Resource Consumption Attack on Large Vision-Language Models.
CoRR, July, 2025

PD<sup>3</sup>F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models.
CoRR, May, 2025

CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models.
CoRR, February, 2025

One-step full gradient suffices for low-rank fine-tuning, provably and efficiently.
CoRR, February, 2025

Can Blockchain Technology Promote Green Transformation? Evidence from Chinese Listed Enterprises.
Syst., 2025

Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation.
Inf. Process. Manag., 2025

LIFEBENCH: Evaluating Length Instruction Following in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

PD³F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Crabs: Consuming Resrouce via Auto-generation for LLM-DoS Attack under Black-box Settings.
CoRR, 2024

Quasi-Bayes meets Vines.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024


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