高宇阳｜南京财经大学｜学者主页

2026

A robust hybrid forecasting framework for heterogeneous renewable energy sources through individual feature identification and automated hyperparameter optimization

Hufang Yang, Yuyang Gao, Jianzhou Wang

Electric Power Systems Research

DOI

2026

An Intelligent Framework for Forecasting and Early Warning of Egg Futures Prices Based on Data Feature Extraction and Hybrid Deep Learning

Yongbing Yang, Xinbei Shen, Zongli Wang, Weiwei Zheng, Yuyang Gao

Systems

DOI

2026

A novel forecasting framework based on hesitant fuzzy time series and multi-objective optimization algorithm for natural gas futures price

Yuyang Gao, Hufang Yang, Yingying Yi, Jianzhou Wang

Energy

DOI

2025

Research on Dynamic Measurement and Early Warning of Systemic Financial Risk in China Based on TVP-FAVAR and Deep Learning Model

Hufang Yang, Luyi Liu, Jieyang Cui, Wenbin Wu, Yuyang Gao

Systems，Vol. 13, No. 8

DOI

2024

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

Zhenkun Liu, Ying Zhang, Mohammad Zoynul Abedin, Jianzhou Wang, Hufang Yang, Yuyang Gao, Yinghao Chen

Journal Of Retailing And Consumer Services，Vol. 79

DOI

2024

An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index

Hufang Yang, Yuyang Gao, Fusen Zhao, Jianzhou Wang

Environmental Research

DOI

2024

Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting

Tanmoy Chowdhury, Yuyang Gao, Liang Zhao

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Global explanation supervision for Graph Neural Networks

Negar Etemadyrad, Yuyang Gao, Sai Manoj Pudukotai Dinakarrao, Liang Zhao

Frontiers Big Data

DOI

2024

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation

Qi-Long Zhao, Yifei Zhang, Meng-Dan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao

Knowledge Discovery and Data Mining

DOI

2023

A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series

Yuyang Gao, Ping Li, Hufang Yang, Jianzhou Wang

Engineering Applications of Artificial Intelligence

DOI

2023

A combined prediction system for PM2.5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric estimation

Jianzhou Wang, Yuansheng Qian, Yuyang Gao, Mengzheng Lv, Yilin Zhou

Atmospheric Pollution Research

DOI

2023

ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation

Siyi Gu, Yifei Zhang, Yuyang Gao, Xiao-Feng Yang, Liang Zhao

Knowledge Discovery and Data Mining

DOI

2023

MAGI: Multi-Annotated Explanation-Guided Learning

Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao

IEEE International Conference on Computer Vision

DOI

2023

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities

Yuyang Gao, Tanmoy Chowdhury, Ling-Fei Wu, Liang Zhao

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting

Jianzhou Wang, Yuyang Gao

Expert Systems With Applications，Vol. 198

DOI

2022

基于群智能优化的非线性时间序列混合预测模型研究

高宇阳

《东北财经大学》

2022

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao

ACM Computing Surveys

DOI

2022

Saliency-Augmented Memory Completion for Continual Learning

Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao

SDM

DOI

2022

RES: A Robust Framework for Guiding Visual Explanation

Yuyang Gao, T. Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Zhao Liang

Knowledge Discovery and Data Mining

DOI

2022

Functional Connectivity Prediction With Deep Learning for Graph Transformation

Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, F. Krueger, Qi-Xiang Lin, D. Qiu, Liang Zhao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning

Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan

ACM Transactions on Knowledge Discovery from Data

DOI

2021

GNES: Learning to Explain Graph Neural Networks

Yuyang Gao, T. Sun, R. Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao

Industrial Conference on Data Mining

DOI

2021

Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

Yuyang Gao, G. Ascoli, Liang Zhao

Neural Networks

DOI

2019

A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM

Xiaobo Zhang, Jianzhou Wang, Yuyang Gao

Energy Economics，Vol. 81

DOI

2019

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

Yuyang Gao, Liang Zhao, Ling-Fei Wu, Yan-Fang Ye, Hui Xiong, C. Yang

AAAI Conference on Artificial Intelligence

DOI

2019

BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization

Yuyang Gao, G. Ascoli, Liang Zhao

Frontiers in Neurorobotics

DOI

2019

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Yuyang Gao, Ling-Fei Wu, Houman Homayoun, Liang Zhao

Industrial Conference on Data Mining

DOI

2018

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations

Yuyang Gao, Xiaojie Guo, Liang Zhao

LENS@SIGSPATIAL

DOI

2018

Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting

Yuyang Gao, Liang Zhao

AAAI Conference on Artificial Intelligence

DOI

2018

Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features

Junxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, Liang Zhao

Industrial Conference on Data Mining

DOI

高宇阳

精选作品

期刊论文

A robust hybrid forecasting framework for heterogeneous renewable energy sources through individual feature identification and automated hyperparameter optimization

An Intelligent Framework for Forecasting and Early Warning of Egg Futures Prices Based on Data Feature Extraction and Hybrid Deep Learning

A novel forecasting framework based on hesitant fuzzy time series and multi-objective optimization algorithm for natural gas futures price

Research on Dynamic Measurement and Early Warning of Systemic Financial Risk in China Based on TVP-FAVAR and Deep Learning Model

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index

Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting

Global explanation supervision for Graph Neural Networks

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation

A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series

A combined prediction system for PM2.5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric estimation

ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation

MAGI: Multi-Annotated Explanation-Guided Learning

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities

An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting

基于群智能优化的非线性时间序列混合预测模型研究

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Saliency-Augmented Memory Completion for Continual Learning

RES: A Robust Framework for Guiding Visual Explanation

Functional Connectivity Prediction With Deep Learning for Graph Transformation

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning

GNES: Learning to Explain Graph Neural Networks

Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations

Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting

Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features

研究方向