Fengqian Ding

According to our database, Fengqian Ding authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Spatial-temporal fuzzy cognitive maps based on adaptive graph learning for multivariate time series interpretable prediction.

Jiacheng Tang, Fengqian Ding, Rui Shao, Luo Chao

Appl. Intell., August, 2025

ALAD: A New Unsupervised Time Series Anomaly Detection Paradigm Based on Activation Learning.

Fengqian Ding, Bo Li, Xianye Ben, Jia Zhao, Hongchao Zhou

IEEE Trans. Big Data, June, 2025

Multi-scale patch transformer with adaptive decomposition for carbon emissions forecasting.

Xiang Li, Lei Chu, Yujun Li, Fengqian Ding, Zhenzhen Quan, Fangx Qu, Zhanjun Xing

Eng. Appl. Artif. Intell., 2025

2024

Bridging pre-trained models to continual learning: A hypernetwork based framework with parameter-efficient fine-tuning techniques.

Fengqian Ding, Chen Xu, Han Liu, Bin Zhou, Hongchao Zhou

Inf. Sci., 2024

2022

Time series prediction based on high-order intuitionistic fuzzy cognitive maps with variational mode decomposition.

Xixi Yao, Fengqian Ding, Luo Chao

Soft Comput., 2022

Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction.

Yawen Chen, Fengqian Ding, Linbo Zhai

Expert Syst. Appl., 2022

Interpretable cognitive learning with spatial attention for high-volatility time series prediction.

Fengqian Ding, Chao Luo

Appl. Soft Comput., 2022

2021

Structured sparsity learning for large-scale fuzzy cognitive maps.

Fengqian Ding, Chao Luo

Eng. Appl. Artif. Intell., 2021

2020

An Adaptive Financial Trading System Using Deep Reinforcement Learning With Candlestick Decomposing Features.

Fengqian Ding, Chao Luo

IEEE Access, 2020

2019

The Entropy-Based Time Domain Feature Extraction for Online Concept Drift Detection.

Fengqian Ding, Chao Luo

Entropy, 2019