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Chenyang Guan

2 accepted papers

2026

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization

AAAI 2026technical

The emergence of accurate open large language models (LLMs) has sparked a push for advanced quantization techniques to enable efficient deployment on end-user devices. In this paper, we revisit the challenge of extreme LLM compression---targeting ultra-low-bit quantization for both activations and w

Cited by 0SourcePDFScholar
2024

Multi-Drone Collaborative Shepherding Through Multi-Task Reinforcement Learning

RA-L 2024

Robotic shepherding has become indispensable in animal husbandry and crowd management, offering a modern solution to traditional challenges. Drone Automated Shepherding leverages advanced maneuverability and an extensive field of view to improve the efficiency of these tasks, which are typically lab

Cited by 9SourceScholar