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20212026
most citedYour time series is worth a binary image: machine vision assisted deep framework for time series forecasting

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering

Pradeep Murugesan, Luoxiao Yang, Xueli Chen +1

Accurate and responsible medical question answering (QA) is important in healthcare, where complex cases require factual knowledge and nuanced reasoning. Existing medical QA system…

cs.AI2026

Diffusion-CAM: Faithful Visual Explanations for dMLLMs

Haomin Zuo, Yidi Li, Luoxiao Yang +1

While diffusion Multimodal Large Language Models (dMLLMs) have recently achieved remarkable strides in multimodal generation, the development of interpretability mechanisms has lag…

cs.LG2024

ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence

Luoxiao Yang, Yun Wang, Xinqi Fan +3

Time series forecasting (TSF) possesses great practical values in various fields, including power and energy, transportation, etc. TSF methods have been studied based on knowledge…

cs.LG2023★ 1 cited

Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting

Luoxiao Yang, Xinqi Fan, Zijun Zhang

Time series forecasting (TSF) has been a challenging research area, and various models have been developed to address this task. However, almost all these models are trained with n…

cs.LG2022

Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes

Luoxiao Yang, Zhong Zheng, Zijun Zhang

The convolutional neural network (CNN) has been widely applied to process the industrial data based tensor input, which integrates data records of distributed industrial systems fr…

cs.CV2021

Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

Luoxiao Yang, Long Wang, Zijun Zhang

This paper develops a novel self-training U-net (STU-net) based method for the automated WPC model generation without requiring data pre-processing. The self-training (ST) process…