Qiang Liu

Health Monitoring of Offshore Wind Structures: Sensing Technology, Uncertainty, and Artificial Intelligence

Ruixin Li, Qiang Liu, Xu Han, Xin Li

Offshore wind farms are rapidly expanding into deeper and more remote ocean regions. Their structural safety and operational reliability in harsh marine environments have garnered widespread global attention. Sensing technologies capture structural and environmental conditions an…Read more

Signed Rectified Flow: Negativity-Controlled Generation

Runlong Liao, Baiyu Su, Lizhang Chen, Qiang Liu

We introduce Signed Rectified Flow (Signed RF), a generalization of Rectified Flow that targets the signed measure $π^{sign} = (1+α)π^+ - απ^-$, where $α>0$, $π^+$ is the distribution to promote, and $π^-$ is the distribution to suppress. Although direct sampling from a signed me…Read more

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI

Yuliang Liu, Zhang Li, Ziyang Zhang, Shuo Zhang, Qiang Liu, Jiajun Song, et al.

Mainstream visual encoders are pretrained on natural images and cannot be effectively applied to document images without document-oriented adaptation, as dense text and fine-grained character strokes demand character-level visual perception. We present MonkeyOCRv2, a visual-text…Read more

RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents

Qiang Liu, Taian Guo, Ruizhi Qiao, Xing Sun

Reinforcement learning holds significant potential for training large language models (LLMs) to handle multi-turn interactive tasks. However, in long-horizon, multi-turn tasks characterized by sparse outcome rewards, directly training with outcome rewards often results in slow co…Read more

Uncovering the Drivers of Greenhouse Gas Emissions from Hydropower Reservoirs in China Based on Machine Learning

Haixia Li, Qiang Liu, Xiaolin Tang, Lian Ai, Hongqiao Chen, Jie Xiong, et al.

China is expanding hydropower capacity as a key climate change mitigation strategy, yet greenhouse gas (GHG) emissions from reservoirs can substantially offset this benefit. The influence of specific environmental drivers on these emissions remains poorly understood, and previous…Read more

Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing

Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

Application Research on Risk Assessment of Municipal Pipeline Network Based on Random Forest Machine Learning Algorithm

Hang Cen, Delong Huang, Qiang Liu, Zhongling Zong, Aiping Tang

Urban municipal water supply is an important part of underground pipelines, and their scale continues to expand. Due to the continuous improvement in the quality and quantity of data available for pipeline systems in recent years, traditional pipeline network risk assessment cann…Read more

Integrating texture features with hierarchical machine learning classifiers for few shot stored grain pest identification

Shuxuan Yu, Lizhuotong Xu, Hongying Cheng, Chen Tian, Qianyu Hang, Siqi Zhao, et al.