Jianhua Zhang - RankMe

42 papers B 2C 2Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimating dynamical affective state via domain-to-modality level feature integration from eye movement and EEG signals. Knowl. Based Syst. Ruiding Li, Yunsheng Wang, Kaiyu Gan, Jianhua Zhang, Zhong Yin
2025	J	`jnl`	Brainprint Measurement Under Complex Cognitive Load Scenarios With a Spatially Aware Polyspectral Retention Network. IEEE Trans. Instrum. Meas. Yinuo Shi, Xin Xie, Xiaolong Zhong, Hengqian Zhang, Jianhua Zhang, Zhong Yin
2025	J	`jnl`	Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes. Appl. Soft Comput. Yiwen Zhu, Jiehao Tang, Hongjuan Wei, Kaiyu Gan, Jianhua Zhang, Zhong Yin
2025	J	`jnl`	Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features. Expert Syst. Appl. Jing Zhang, Wenlong Wu, Jiehao Tang, Yiwen Zhu, Jianhua Zhang, Zhong Yin
2025	J	`jnl`	SCVCNet: Sliding Cross-Vector Convolution Network for Task-Independent Cognitive Workload Recognition With EEG Measurement. IEEE Trans. Instrum. Meas. Qi Wang, Li Chen, Zhiyuan Zhan, Jianhua Zhang, Zhong Yin
2024	J	`jnl`	Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. IEEE Trans. Instrum. Meas. Zhong Yin, Jiehao Tang, Jing Zhang, Zhe Wang, Jianhua Zhang, Ya-Gang Wang, Bingxue Zhang
2024	J	`jnl`	Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network. Neural Networks Kaiyu Gan, Ruiding Li, Jianhua Zhang, Zhanquan Sun, Zhong Yin
2024	—	`conf`	Predicting Stock Prices: Strategies of Ensemble Learning with Transformer, ARIMA, and Linear Regression Models. MLMI Leila Mozaffari, Jianhua Zhang
2024	—	`conf`	Predictive Modeling of Stock Prices Using Transformer Model. ICMLT Leila Mozaffari, Jianhua Zhang
2023	—	`conf`	Household Energy Consumption Prediction: A Deep Neuroevolution Approach. AI2A Alexander Soudaei, Jianhua Zhang, Mohamed Elmi, Mikael Tsechoev, Zishan Khan, Ahmed Osman
2020	J	`jnl`	Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Inf. Fusion Jianhua Zhang, Zhong Yin, Peng Chen, Stefano Nichele
2019	J	`jnl`	Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders. Comput. Biol. Medicine Shuo Yang, Zhong Yin, Yagang Wang, Wei Zhang, Yongxiong Wang, Jianhua Zhang
2019	—	`conf`	Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning SSCI Jianhua Zhang, Peng Chen, Stefano Nichele, Anis Yazidi
2019	J	`jnl`	Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling. Symmetry Jiadong Tao, Zhong Yin, Lei Liu, Ying Tian, Zhanquan Sun, Jianhua Zhang
2019	—	`conf`	Instantaneous Mental Workload Classification Using Semi-Supervised Learning SSCI Jianhua Zhang, Jianrong Li, Stefano Nichele
2019	C	`conf`	Multi-modal Recognition of Mental Workload Using Empirical Mode Decomposition and Semi-Supervised Learning. CW Jianhua Zhang, Jianrong Li
2019	J	`jnl`	Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing Zhong Yin, Mengyuan Zhao, Wei Zhang, Yongxiong Wang, Yagang Wang, Jianhua Zhang
2018	J	`jnl`	Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine. Neurocomputing Zhong Yin, Jianhua Zhang
2017	J	`jnl`	A deep learning scheme for mental workload classification based on restricted Boltzmann machines. Cogn. Technol. Work. Jianhua Zhang, Sunan Li
2017	J	`jnl`	Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination. Frontiers Neurorobotics Zhong Yin, Yongxiong Wang, Li Liu, Wei Zhang, Jianhua Zhang
2017	J	`jnl`	Cross-session classification of mental workload levels using EEG and an adaptive deep learning model. Biomed. Signal Process. Control. Zhong Yin, Jianhua Zhang
2017	J	`jnl`	Cross-subject mental workload classification using kernel spectral regression and transfer learning techniques. Cogn. Technol. Work. Jianhua Zhang, Yongcun Wang, Sunan Li
2017	J	`jnl`	Cross-subject recognition of operator functional states via EEG and switching deep belief networks with adaptive weights. Neurocomputing Zhong Yin, Jianhua Zhang
2017	J	`jnl`	Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition. Cogn. Technol. Work. Zhong Yin, Lei Liu, Li Liu, Jianhua Zhang, Yagang Wang
2017	J	`jnl`	Guest editorial for special issue on modeling and analysis of human-machine systems in transportation. Cogn. Technol. Work. Jianhua Zhang, Tamsyn Edwards
2017	J	`jnl`	Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy. Cogn. Technol. Work. Jianhua Zhang, Xiqing Cui, Jianrong Li, Rubin Wang
2017	—	`conf`	Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine. ICANN (2) Jianrong Li, Jianhua Zhang
2017	J	`jnl`	Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets. Comput. Methods Programs Biomed. Jianhua Zhang, Jia-Jun Xia, Jonathan M. Garibaldi, Petros P. Groumpos, Ru-Bin Wang
2017	J	`jnl`	Nonlinear Dynamic Classification of Momentary Mental Workload Using Physiological Features and NARX-Model-Based Least-Squares Support Vector Machines. IEEE Trans. Hum. Mach. Syst. Jianhua Zhang, Zhong Yin, Rubin Wang
2017	J	`jnl`	Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. Jianhua Zhang, Zhong Yin, Rubin Wang
2017	—	`conf`	Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition. ICANN (1) Peng Chen, Jianhua Zhang
2017	J	`jnl`	Recognition of emotions using multimodal physiological signals and an ensemble deep learning model. Comput. Methods Programs Biomed. Zhong Yin, Mengyuan Zhao, Yongxiong Wang, Jingdong Yang, Jianhua Zhang
2016	J	`jnl`	A novel PSO algorithm based on an incremental-PID-controlled search strategy. Soft Comput. Jianhua Zhang, Shaozeng Yang
2016	C	`conf`	A self-organizing fuzzy neural network for identification and control of nonlinear systems. CoDIT Zengqian Kou, Jianhua Zhang, Rubin Wang
2015	—	`conf`	A modified type-2 fuzzy logic system and its applications. ICACI Hongjie Chen, Jianhua Zhang, Rubin Wang
2015	J	`jnl`	Recognition of Mental Workload Levels Under Complex Human-Machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines. IEEE Trans. Hum. Mach. Syst. Jianhua Zhang, Zhong Yin, Rubin Wang
2014	B	`conf`	An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. IJCNN Yilin Dong, Jianhua Zhang
2014	J	`jnl`	An incremental-PID-controlled particle swarm optimization algorithm for EEG-data-based estimation of operator functional state. Biomed. Signal Process. Control. Jianhua Zhang, Shaozeng Yang
2014	J	`jnl`	Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques. Comput. Methods Programs Biomed. Zhong Yin, Jianhua Zhang
2014	B	`conf`	Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. IJCNN Yilin Dong, Jianhua Zhang, Jonathan M. Garibaldi
2014	J	`jnl`	Operator functional state classification using least-square support vector machine based recursive feature elimination technique. Comput. Methods Programs Biomed. Zhong Yin, Jianhua Zhang
2013	J	`jnl`	An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state. Biomed. Signal Process. Control. Shaozeng Yang, Jianhua Zhang