Fengqian Ding

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Fengqian Ding, Bo Li, Han Liu, Chuandong Lyu, Xianye Ben, Hongchao Zhou
2025 J jnl
ALAD: A New Unsupervised Time Series Anomaly Detection Paradigm Based on Activation Learning.
IEEE Trans. Big Data
Fengqian Ding, Bo Li, Xianye Ben, Jia Zhao, Hongchao Zhou
2025 J jnl
Global-local coherency contrastive learning for context-aware time series forecasting.
Knowl. Based Syst.
Fengqian Ding, Chen Xu, Han Liu, Chuandong Lyu, Gangqiang Yang, Hailiang Xiong, Hongchao Zhou
2025 J jnl
Multi-scale patch transformer with adaptive decomposition for carbon emissions forecasting.
Eng. Appl. Artif. Intell.
Xiang Li, Lei Chu, Yujun Li, Fengqian Ding, Zhenzhen Quan, Fangx Qu, Zhanjun Xing
2025 J jnl
Spatial-temporal fuzzy cognitive maps based on adaptive graph learning for multivariate time series interpretable prediction.
Appl. Intell.
Jiacheng Tang, Fengqian Ding, Rui Shao, Luo Chao
2025 J jnl
Spatio-Temporal Anomaly Detection for 5G-Clusters: A Multi-Scale Fuzzy Contrastive Learning Approach.
IEEE Trans. Netw.
Chao Luo, Yinghua Li, Fengqian Ding, Rui Shao
2024 J jnl
Bridging pre-trained models to continual learning: A hypernetwork based framework with parameter-efficient fine-tuning techniques.
Inf. Sci.
Fengqian Ding, Chen Xu, Han Liu, Bin Zhou, Hongchao Zhou
2022 J jnl
Interpretable cognitive learning with spatial attention for high-volatility time series prediction.
Appl. Soft Comput.
Fengqian Ding, Chao Luo
2022 J jnl
Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction.
Expert Syst. Appl.
Yawen Chen, Fengqian Ding, Linbo Zhai
2022 J jnl
Time series prediction based on high-order intuitionistic fuzzy cognitive maps with variational mode decomposition.
Soft Comput.
Xixi Yao, Fengqian Ding, Luo Chao
2021 J jnl
Structured sparsity learning for large-scale fuzzy cognitive maps.
Eng. Appl. Artif. Intell.
Fengqian Ding, Chao Luo
2020 J jnl
An Adaptive Financial Trading System Using Deep Reinforcement Learning With Candlestick Decomposing Features.
IEEE Access
Fengqian Ding, Chao Luo
2019 J jnl
The Entropy-Based Time Domain Feature Extraction for Online Concept Drift Detection.
Entropy
Fengqian Ding, Chao Luo