3 papers
eess.SP2026
Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection
Zhenghao Zhou, Yiyan Li, Xinjie Yu +4
Data has been regarded as a valuable asset with the fast development of artificial intelligence technologies. In this paper, we introduce deep-learning neural network-based frequen…
eess.SP2025
A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics
Zhenghao Zhou, Yiyan Li, Xinjie Yu +6
Power system time series analytics is critical in understanding the system operation conditions and predicting the future trends. Despite the wide adoption of Artificial Intelligen…
cs.AI2025
MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
Erle Zhu, Yadi Liu, Zhe Zhang +5
Pre-trained on extensive text and image corpora, current Multi-Modal Large Language Models (MLLM) have shown strong capabilities in general visual reasoning tasks. However, their p…