Yi Huang — Papers on Cortexa

arxivcs.AI2026-07-04

Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions

Haochen Luo, Yi Huang, Sichun Luo, Fengyuan Liu, Lei Li, Zefa Hu, et al.

Self-evolving frameworks usually optimize task solutions while treating the surrounding harness as fixed. We introduce Harness-Aware Self-Evolving (HASE), an agentic reinforcement-learning framework in which a single model can generate task solutions or edit selected harness comp…

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crossrefElectronics2024-02-05Cited by 9

Multi-Agent-Deep-Reinforcement-Learning-Enabled Offloading Scheme for Energy Minimization in Vehicle-to-Everything Communication Systems

Wenwen Duan, Xinmin Li, Yi Huang, Hui Cao, Xiaoqiang Zhang

Offloading computation-intensive tasks to mobile edge computing (MEC) servers, such as road-side units (RSUs) and a base station (BS), can enhance the computation capacities of the vehicle-to-everything (V2X) communication system. In this work, we study an MEC-assisted multi-vehi…

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