Jianhua Zhang

Scientific publications

Flammini, Francesco; Xiong, Ning; Zhang, Jianhua ; Neri, Filippo (2024). ACM Proceedings of 9th International Conference on Machine Learning Technologies (ICMLT 2024). ISBN: 979-8-4007-1637-9. 350 p. Association for Computing Machinery (ACM).

Tang, Jiehao; Ma, Zhuang; Gan, Kaiyu; Zhang, Jianhua ; Yin, Zhong (2024). Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment. Information Fusion. Vol. 103.
https://doi.org/10.1016/j.inffus.2023.102129

Gan, Kaiyu; Li, Ruiding; Zhang, Jianhua ; Sun, Zhanquan; Yin, Zhong (2024). Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network. Neural Networks. Vol. 172.
https://doi.org/10.1016/j.neunet.2023.12.034

Yin, Zhong; Yang, J.; Zhang, J.; Wang, Z.; Zhang, Jianhua ; Wang, Y.; Zhang, B. (2024). Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. 12 p. IEEE Transactions on Instrumentation and Measurement. Vol. 73.
https://doi.org/10.1109/TIM.2024.3373070

Mozaffari, Leila; Zhang, Jianhua (2024). Predictive Modeling of Stock Prices Using Transformer Model (paper ID: LT641). Flammini, Francesco; Xiong, Ning; Zhang, Jianhua; Neri, Filippo (Ed.). ACM Proceedings of 9th International Conference on Machine Learning Technologies (ICMLT 2024). Association for Computing Machinery (ACM).

Mozaffari, Leila; Brekke, Marte Marie; Gajaruban, B.; Purba, D.; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. Nichele, Stefano (Ed.). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings.
https://doi.org/10.1109/ICAPAI58366.2023.10193866

Zheng, Zhanpeng; Yin, Zhong; Wang, Yongxiong; Zhang, Jianhua (2023). Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders. 19 p. Expert Systems With Applications. Vol. 211.
https://doi.org/10.1016/j.eswa.2022.118694

Zhang, Jianhua ; Yin, Zhong; Chen, Peng (2023). EEG-based affect classification with machine learning algorithms. Ishi, Hideaki (Ed.). 22nd IFAC World Congress. Elsevier.
https://doi.org/10.1016/j.ifacol.2023.10.486

Soudaei, Alexander; Zhang, Jianhua ; Elmi, Mohamed Ahmed; Tsechoev, Mikael; Khan, Zishan; Osman, Ahmed Abbas (2023). Household Energy Consumption Prediction: A Deep Neuroevolution Approach. Nallanathan, Arumugam (Ed.). AI2A '23: Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms. p. 164-168. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3611450.3611474

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 p. Sustainable Cities and Society (SCS). Vol. 83.
https://doi.org/10.1016/j.scs.2022.103981

Research reports

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 p. Norges teknisk-naturvitenskapelige universitet.

Dissemination

Zhang, Jianhua (2024). Deep-Learning-based Recognition of Human Facial Expressions (Keynote talk). 5th International Conference on Machine Learning and Human-Computer Interaction (MLHMI 2024), Kawasaki, Japan, March 14-16, 2024. Meji University; Sensors and Systems Society of Singapore.

Mozaffari, Leila; Zhang, Jianhua (2024). Predictive Modeling of Stock Prices Using Transformer Model (paper ID: LT641). 9th International Conference on Machine Learning Technologies (ICMLT 2024), Oslo, Norway, May 24-26, 2024.

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

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).

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

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

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

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