Jianhua Zhang

Vitenskapelige publikasjoner

Zhang, Jianhua; Yin, Zhong; Chen, Peng (2023). EEG-based affect classification with machine learning algorithms. Ishi, Hideaki (Red.). 22nd IFAC World Congress. IFAC Papers Online.

Zheng, Zhanpeng; Yin, Zhong; Wang, Yongxiong; Zhang, Jianhua (2023). Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders. Expert Systems With Applications. Vol. 211.
https://doi.org/10.1016/j.eswa.2022.118694

Mozaffari, Leila; Brekke, M.M.; Gajaruban, B.; Purba, D.; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. Nichele, Stefano (Red.). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings.

Soudaei, A.; Zhang, Jianhua; Elmi, M.; Tsechoev, M.; Khan, Z.; Osman, A. (2023). Household Energy Consumption Prediction: A Deep Neuroevolution Approach. Nallanathan, Arumugam (Red.). AI2A '23: Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms. s. 164-168. Association for Computing Machinery (ACM).

Kim, Moon Keun; Cremers, Bart; Liu, Jiying; Zhang, Jianhua; Wang, Junqi (2022). Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis. 13 s. Sustainable Cities and Society (SCS). Vol. 83.
https://doi.org/10.1016/j.scs.2022.103981

Hua, Yue; Zhong, Xiaolong; Zhang, Bingxue; Yin, Zhong; Zhang, Jianhua (2021). Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition. 24 s. Brain Sciences. Vol. 11.
https://doi.org/10.3390/brainsci11111392

Zhang, Jianhua; Chen, Peng (2020). Selection of Optimal EEG Electrodes for Human Emotion Recognition. IFAC-PapersOnLine. Vol. 53.

Zhang, Jianhua; Liu, Xiuling (2020). Automatic Analysis of Large-scale Nanopore Data Using Hidden Markov Models. IFAC-PapersOnLine. Vol. 53.

Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). s. 410-416. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/SSCI44817.2019.9002997

Zhong, Xiaolong; Yin, Zhong; Zhang, Jianhua (2020). Cross-Subject emotion recognition from EEG using Convolutional Neural Networks. 5 s. Chinese Control Conference (CCC). Vol. 2020-.
https://doi.org/10.23919/CCC50068.2020.9189559

Forskningsrapporter

Pontes Filho, Sidney; Nichele, Stefano; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 978-82-326-6953-0. 179 s. Norges teknisk-naturvitenskapelige universitet.

Formidling

Zhang, Jianhua (2023). Household Energy Consumption Prediction: A Deep Neuroevolution Approach. 3rd Int. Conf. on Artificial Intelligence, Automation and Algorithms (AI2A’23).

Zhang, Jianhua (2023). EEG-based affect classification with machine learning algorithms (Associate Editor for HMS field, session co-chair). 22nd IFAC World Congress.

Zhang, Jianhua (2023). Opening address and moderator/chair for keynote session (as the Program Chair of the conference). 2023 8th Int. Conf. on Machine Learning Technologies (ICMLT 2023).

Mozaffari, Leila; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. 3rd Int. Conf. On Applied Artificial Intelligence (ICAPAI’23).

Zhang, Jianhua (2022). Emotion Recognition Using EEG Signals and Machine Learning (Keynote lecture). 2022 Intl. Conf. on Machine Learning and Knowledge Engineering (MLKE2022).

Soudaei, A.; Zhang, Jianhua (2022). Energy Consumption Prediction by Use of Deep Neuroevolution Strategy. Int. Conf. on Cognitive Neurodynamics (ICCN2021).

Zhang, Jianhua (2022). Keynote Talk: Emotion Recognition Using EEG Signals and Machine Learning. 2022 Int. Conf. on Machine Learning and Knowledge Engineering (MLKE2022).

Zhang, Jianhua (2022). Keynote talk: Energy Consumption Forecasting based on Deep Neuroevolution Model. 6th Int. Conf. on Advances in Artificial Intelligence (ICAAI2022).

Zhang, Jianhua (2022). Opening Address (as the main organizer and meeting moderator). Annual Meeting of IEEE Norway Section, 2022.

Zhang, Jianhua (2022). EEG-based Prediction of Operator Functional State Using Evolutionary Fuzzy Models. Big Brain 2022. Fudan University.