Jujie Wang - RankMe

41 papers A* 2Journal 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Wind Power Ramp Events Prediction Model Based on Vector Feature Forecasting and Data Transfer Learning. IEEE Access Ling Liu, Jujie Wang, Hongfang Song
2026	J	`jnl`	A robust generative dynamic transfer model for carbon emission price prediction based on multi-source information fusion and feature representation enhancement. Inf. Fusion Xuecheng He, Jujie Wang, Maolin He
2026	A*	`conf`	CTX-Coder: Cross-Attention Architectures Empower LLMs for Long-Context Vulnerability Detection. AAAI Jujie Wang, Kangfeng Zheng, Bin Wu, Chunhua Wu, Yulin Yao, Jiaqi Gao, Minjiao Yang
2026	J	`jnl`	Dynamic ensemble point-interval wind speed prediction system for data drift: Adaptive real-time feature decoupling and multi-level information fusion quantile regression. Appl. Soft Comput. Jujie Wang, Xiawei Wu, Minghong Chen
2026	J	`jnl`	PSTG-Net: A physics-informed spatiotemporal multimodal dynamic graph network for wind power forecasting. Expert Syst. Appl. Weiyi Jiang, Jujie Wang, Xuecheng He, Maolin He
2026	A*	`conf`	SAFE: Semantic- and Frequency-Enhanced Curriculum for Cross-Domain Deepfake Detection. AAAI Yulin Yao, Kangfeng Zheng, Bin Wu, Chunhua Wu, Jujie Wang, Jiaqi Gao, Minjiao Yang, Dan Luo
2026	J	`jnl`	Towards reliable photovoltaic power interval forecasting: A novel cross-channel multi-scale fusion transformer with non-crossing multi-quantile learning. Inf. Sci. Kuizhuang Chen, Yaning Li, Jujie Wang
2025	J	`jnl`	A Transfer Learning Combination Model for Annual National Electricity Consumption Forecasting in China. IEEE Access Ling Liu, Jujie Wang
2025	J	`jnl`	A coupling deterministic and probabilistic wind energy prediction based on information leakage prevention and distinctive deep learning network. Eng. Appl. Artif. Intell. Jujie Wang, Yafen Liu, Shuqin Shu, Xuecheng He
2025	J	`jnl`	An interpretable interval-valued wind power prediction system based on multi-objective feature extraction and base model selection with dynamic ensemble. Swarm Evol. Comput. Jujie Wang, Yuxuan Lu, Qian Li
2025	J	`jnl`	An interval-valued carbon price prediction model based on improved multi-scale feature selection and optimal multi-kernel support vector regression. Inf. Sci. Yuxuan Lu, Jujie Wang, Qian Li
2025	J	`jnl`	An optimal multi-scale and multi-factor two-stage integration paradigm coupled with investor sentiment for carbon price prediction. Inf. Process. Manag. Jujie Wang, Xuecheng He
2025	J	`jnl`	An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction. Ann. Oper. Res. Wenjie Xu, Jujie Wang, Yue Zhang, Jianping Li, Lu Wei
2025	J	`jnl`	Combining Interpretable Embedded Multicriteria Feature Cross-Selection Engineering and Machine Learning to Mimic the Brain for Stock Trading Signal Prediction. Cogn. Comput. Jujie Wang, Ying Dong
2025	J	`jnl`	Fusing spatial-temporal information into deep learning via wind propagation theory to enhance wind power prediction. Eng. Appl. Artif. Intell. Maolin He, Jujie Wang
2025	J	`jnl`	Interval multi-feature sparse transformer-CNN: A synergistic approach to precise and efficient spatio-temporal wind speed interval-value prediction. Appl. Soft Comput. Weiyi Jiang, Jujie Wang, Xuecheng He
2024	J	`jnl`	A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function. Expert Syst. Appl. Jujie Wang, Xudong Tang, Weiyi Jiang
2024	J	`jnl`	A novel Gaussian process regression-based stock index interval forecasting model integrating optimal variables screening with bidirectional long short-term memory. Soft Comput. Jujie Wang, Qian Cheng, Xin Sun
2024	J	`jnl`	An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning. Expert Syst. Appl. Jujie Wang, Jing Liu, Weiyi Jiang
2024	J	`jnl`	An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology. Eng. Appl. Artif. Intell. Jujie Wang, Ying Dong
2024	J	`jnl`	Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory. Expert Syst. Appl. Jujie Wang, Maolin He, Weiyi Jiang
2024	J	`jnl`	Two-Stage Deep Ensemble Paradigm Based on Optimal Multi-scale Decomposition and Multi-factor Analysis for Stock Price Prediction. Cogn. Comput. Jujie Wang, Jing Liu
2023	J	`jnl`	A Novel Stock Index Direction Prediction Based on Dual Classifier Coupling and Investor Sentiment Analysis. Cogn. Comput. Jujie Wang, Shuzhou Zhu
2023	J	`jnl`	A deep learning-based nonlinear ensemble approach with biphasic feature selection for multivariate exchange rate forecasting. Multim. Tools Appl. Jujie Wang, Maolin He, Wenjie Xu, Feng Jing
2023	J	`jnl`	A multi-factor two-stage deep integration model for stock price prediction based on intelligent optimization and feature clustering. Artif. Intell. Rev. Jujie Wang, Shuzhou Zhu
2023	J	`jnl`	A novel multifactor clustering integration paradigm based on two-stage feature engineering and improved bidirectional deep neural networks for exchange rate forecasting. Digit. Signal Process. Jujie Wang, Ying Dong, Jing Liu
2023	J	`jnl`	A time series attention mechanism based model for tourism demand forecasting. Inf. Sci. Yunxuan Dong, Ling Xiao, Jiasheng Wang, Jujie Wang
2023	J	`jnl`	An XGBoost-based multivariate deep learning framework for stock index futures price forecasting. Kybernetes Jujie Wang, Qian Cheng, Ying Dong
2023	J	`jnl`	An optimized deep nonlinear integrated framework for wind speed forecasting and uncertainty analysis. Appl. Soft Comput. Jujie Wang, Dongming Gao, Zhenzhen Zhuang
2023	J	`jnl`	Stock Trading Strategy of Reinforcement Learning Driven by Turning Point Classification. Neural Process. Lett. Jujie Wang, Feng Jing, Maolin He
2022	J	`jnl`	Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model. Eng. Appl. Artif. Intell. Jujie Wang, Quan Cui, Xin Sun, Maolin He
2022	J	`jnl`	Depth feature extraction-based deep ensemble learning framework for high frequency futures price forecasting. Digit. Signal Process. Jujie Wang, Yu Chen, Shuzhou Zhu, Wenjie Xu
2022	J	`jnl`	Optimized decomposition and two-step nonlinear integration model with error correction strategy coupled interval prediction for digital currency price forecast. Artif. Intell. Rev. Jujie Wang, Shiyao Qiu
2021	J	`jnl`	Adaboost-based Integration Framework Coupled Two-stage Feature Extraction with Deep Learning for Multivariate Exchange Rate Prediction. Neural Process. Lett. Jujie Wang, Yu Chen
2021	J	`jnl`	Deep Nonlinear Ensemble Framework for Stock Index Forecasting and Uncertainty Analysis. Cogn. Comput. Jujie Wang, Liu Feng, Yang Li, Junjie He, Chunchen Feng
2021	J	`jnl`	Stock index prediction and uncertainty analysis using multi-scale nonlinear ensemble paradigm of optimal feature extraction, two-stage deep learning and Gaussian process regression. Appl. Soft Comput. Jujie Wang, Junjie He, Chunchen Feng, Liu Feng, Yang Li
2019	J	`jnl`	An innovative hybrid approach for multi-step ahead wind speed prediction. Appl. Soft Comput. Jujie Wang, Yaning Li
2018	J	`jnl`	Short-Term Wind Speed Prediction Using Signal Preprocessing Technique and Evolutionary Support Vector Regression. Neural Process. Lett. Jujie Wang, Yaning Li
2014	J	`jnl`	A novel hybrid approach for wind speed prediction. Inf. Sci. Jujie Wang, Wenyu Zhang, Jianzhou Wang, Tingting Han, Lingbin Kong
2014	J	`jnl`	Forecasting wind speed using empirical mode decomposition and Elman neural network. Appl. Soft Comput. Jujie Wang, Wenyu Zhang, Yaning Li, Jianzhou Wang, Zhangli Dang
2013	J	`jnl`	Short-term wind speed forecasting based on a hybrid model. Appl. Soft Comput. Wenyu Zhang, Jujie Wang, Jianzhou Wang, Zengbao Zhao, Meng Tian