1 citations · 1 across the 5 of their papers we have counts for
5 papers
ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection
Jingtai He, Shiyuan Meng, Wenchao Meng +1
Industrial anomaly detection (IAD) requires identifying fine-grained deviations from normal visual patterns. Multimodal large language models (MLLMs) can improve recognition accura…
Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
Yanhong Luo, Wenchao Meng, Xi Zhu +4
With the increasing prevalence of distributed generators, islanded operation based on distributed generation is considered a vital means to enhance the reliability and resilience o…
Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting
Siming Sun, Kai Zhang, Xuejun Jiang +2
Adapting pretrained Large Language Models (LLMs) for time series forecasting primarily relies on token-level linguistic-temporal alignment, leading to the stacking of logically dis…
Dynamic Modeling and Control for an Offshore Semisubmersible Floating Wind Turbine
Yingjie Gong, Qinmin Yang, Hua Geng +2
Floating wind turbines (FWTs) hold significant potential for the exploitation of offshore renewable energy resources. Nevertheless, prior to the construction of FWTs, it is imperat…
Few-shot learning with improved local representations via bias rectify module
Chao Dong, Qi Ye, Wenchao Meng +1
Recent approaches based on metric learning have achieved great progress in few-shot learning. However, most of them are limited to image-level representation manners, which fail to…