English version
Jianhua Zhang

Jianhua Zhang

Kort om

Jianhua Zhang har vært professor i kunstig intelligens ved OsloMet - Storbyuniversitetet, Oslo, Norge siden 2018. Før han ble med i OsloMet, jobbet han i et fransk IT-selskap, Vekia (Lille, Frankrike) som vitenskapelig direktør. Han var professor i intelligente systemer ved East China U. of Science and Technology (Shanghai, Kina) mellom 2007 og 2017. Han tok doktorgrad fra Ruhr University Bochum, Tyskland og gjorde postdoc forskning ved University of Sheffield, Storbritannia. Han var gjesteforsker ved TU Dresden, Tyskland fra 2002 til 2003 og gjesteprofessor ved TU Berlin, Tyskland mellom 2008 og 2015. Hans forskningsinteresser inkluderer beregningsintelligens, maskinlæring, intelligent kontroll, biomedisinsk signalbehandling, nevroergonomi, og affektiv databehandling. Han har utgitt 4 bøker, 11 bokkapitler og over 200 tekniske artikler (inkludert over 80 journalartikler). Han fungerer som styreleder for IFAC TC on Human-Machine Systems, nestleder for IEEE Norge-seksjonen og nestleder for IEEE CIS Norway Chapter. Han sitter i redaksjonen for 4 internasjonale vitenskapelige tidsskrifter, inkludert Frontiers in Neuroscience, Cognitive Neurodynamics, og Cognition, Technology and Work. Han var styreleder eller hovedtaler for en rekke internasjonale vitenskapelige konferanser.

Fagområder

Vitenskapsdisipliner

Datateknologi   Teknisk kybernetikk

Emner

Kunstig intelligens   Maskinlæring   Mønstergjenkjenning   Reguleringsteknikk   Datagruvedrift   Nevroinformatikk   Intelligente systemer   Mann maskin stystem   Beregnende intelligens   Non Stationary signal analysis

Land

Norge

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

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.

Zhang, Jianhua; Li, Jianrong (2020). Classifying Mental Workload Levels Using Semi-Supervised Learning Technique. IFAC-PapersOnLine . Vol. 53.

Zhang, Jianhua; Yin, Zhong (2020). Operator Performance Prediction based on Fuzzy Modeling Approach. 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; Xia, Jiajun (2020). Hierarchical MPC of Hybrid Power Systems based on Fuzzy Discrete Abstraction. IFAC-PapersOnLine . Vol. 53.

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

Cao, Zixuan; Yin, Zhong; Zhang, Jianhua (2020). The Mental Workload Rating Method Based on Stacking Model Fusion Strategy. Software Guide. Vol. 19.

Zhang, Jianhua; Li, Jianrong; Wang, Rubin (2020). Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning. Cognitive Neurodynamics . Vol. 14.

Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua (2020). An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals. Chinese Control Conference (CCC) .
https://ieeexplore.ieee.org/document/9188806

Cao, Zixuan; Yin, Zhong; Zhang, Jianhua (2020). Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features. Cognitive Neurodynamics . Vol. 15.

Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (2020). Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Information Fusion . Vol. 59.

Zhong, Xiaolong; Yin, Zhong; Zhang, Jianhua (2020). Cross-Subject emotion recognition from EEG using Convolutional Neural Networks. Chinese Control Conference (CCC) . Vol. 2020-.

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Red.). Applications of Evolutionary Computation. Mangler. s. 133-148. Springer.
https://hdl.handle.net/11250/2724664

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics .
https://hdl.handle.net/11250/2657791

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). KAPITTEL. s. 410-416. IEEE. 10.1109/SSCI44817.2019.9002997

Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. s. 403-408. IEEE. 10.1109/SSCI44817.2019.9003057

Gu, Hao; Yin, Zhong; Zhang, Jianhua (2019). EEG based mental workload assessment via a hybrid classifier of ELM and SVM. Liu, Zhixin; Qu, Ying (Red.). The 38th Chinese Control Conference (CCC2019). paper in conf. Proceedings. s. 8398-8403. IEEE conference proceedings.

Zhang, Jianhua; Li, Jianrong (2019). Multi-modal Recognition of Mental Workload Using Empirical Mode Decomposition and Semi-Supervised Learning. Toyoura, Masahiro (Red.). Proc of 2019 International Conference on Cyberworlds (CW). Conference paper in Proceedings. s. 215-218.

Zhang, Jianhua; Ling, Chen; Li, Sunan (2019). Human Movements Classification Using Multi-Channel Surface EMG Signals and Deep Learning Technique. Toyoura, Masahiro (Red.). Proc of 2019 International Conference on Cyberworlds (CW). conference paper in Proceedings. s. 267-273.

Zhang, Jianhua; Ling, Chen; Li, Sunan (2019). EMG Signals based Human Action Recognition via Deep Belief Networks. IFAC-PapersOnLine . Vol. 52.

Cao, Z.; Yin, Zhong; Zhang, Jianhua (2019). Classification of mental workload levels using EEG and hybrid model of stacked denoising autoencoder. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. KAPITTEL. IEEE.
http://www.nichele.eu/ICDL-EPIROB_NSM/5-Cao.pdf

Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.
https://hdl.handle.net/11250/2677637

Li, J.; Zhang, Jianhua; Xia, J.; Chen, P. (2019). Mental workload classification based on semi-supervised extreme learning machine. Journal of East China University of Science and Technology (Natural Science Edition). Vol. 45.

Wen, Z.; Zhang, Jianhua; Pan, X. (2019). Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum. Journal of East China University of Science and Technology (Natural Science Edition). Vol. 45.

Tao, J.; Yin, Z.; Liu, L.; Tian, Y.; Sun, Z.; Zhang, Jianhua (2019). Individual-specific classification of mental workload levels via an ensemble heterogeneous extreme learning machine for EEG modeling. Symmetry . Vol. 11.

Yin, Zhong; Zhao, Mengyuan; Zhang, Wei; Wang, Yongxiong; Wang, Yagang; Zhang, Jianhua (2019). Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing . Vol. 347.

Yang, Shuo; Yin, Zhong; Wang, Yagang; Zhang, Wei; Wang, Yongxiong; Zhang, Jianhua (2019). Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders. Computers in Biology and Medicine . Vol. 109.

Wen, Zaizhi; Zhang, Jianhua; Pan, Xiaochuan; Wang, Rubin (2018). Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum in Monkey. Delgado-García, J.M.; Zhang, Jianhua (Red.). Advances in Cognitive Neurodynamics (VI). Chapter 44. s. 351-358. Springer Nature.

Wen, Zaizhi; Zhang, Jianhua; Pan, Xiaochuan (2018). A Comparison of Reward Values Encoding Function Between the Prefrontal Cortex and Striatum in Monkey. Delgado-García, J.M.; Zhang, Jianhua (Red.). Advances in Cognitive Neurodynamics (VI). Chapter 4. s. 27-34. Springer Nature.

Delgado-García, J.M.; Zhang, Jianhua (2018). Advances in Cognitive Neurodynamics (VI). ISBN: 978-981-10-8854-4. 407 s. Springer Nature.





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