Yuan Wu

Nondestructive freshness evaluation of Prunus armeniaca L via multi-sensor fusion and explainable machine learning

Zhongbiao He, Jiahao Yu, Jiashuo Shi, Xue Zhou, Yating Li, Haocheng Tang, et al.

Structured Spectral Compression based Low-Bitrate Secure Speech Communications for Internet of Things assisted Non-Terrestrial Networks

Li Ping Qian, Zhehan Chen, Qianru Wang, Qian Wang, Yuan Wu, Xuemin Sherman Shen

This paper focuses on the Low-Bitrate Secure Speech Communications based on the Structured Spectral Compression (LB-S2C2). Specifically, the Mel spectral matrix of the speech signal is first encoded at the transmitter side through compressive sensing based on waveform segmentatio…Read more

Energy Minimization Oriented Resource Allocation for Integrated Sensing and Communication in Marine IoT Networks

Qianru Wang, Li Ping Qian, Chenglong Dou, Haijun Zhang, Yuan Wu

Integrated sensing and communication (ISAC) has become a promising technical framework for Marine Internet of Things (MIoT) systems. Nevertheless, all devices rely on battery power, so energy efficiency becomes a core bottleneck limiting practical deployment. This paper investiga…Read more

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards

Yupeng Chang, Yuan Wu, Yi Chang

Critic-free reinforcement learning with verifiable rewards (RLVR), exemplified by Group Relative Policy Optimization (GRPO), avoids training a value function (critic) and reduces memory and compute overhead relative to critic-based PPO pipelines for aligning large language models…Read more

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling

Yupeng Chang, Yuan Wu, Yi Chang

Low-Rank Adaptation (LoRA) is a widely used parameter-efficient fine-tuning (PEFT) method for large language models. Under a fixed rank budget, LoRA parameterizes each adapted weight through a single low-dimensional input-side pathway, which may couple heterogeneous behaviors thr…Read more