![International Journal of Neuroinformatics-Big data analysis and modeling of biological-Zi-Gang Huang](https://jphi-healthcarejournals.net/uploads/180108114648ZiGang.jpg)
China
- School of Life Science & Technology, Xi’an Jiao Tong University, Xi’an, 710049, P. R. China,
- Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, 730000, P. R. China.
+86-17710450995
Zi-Gang Huang
Address:
- School of Life Science & Technology, Xi’an Jiao Tong University, Xi’an, 710049, P. R. China,
- Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, 730000, P. R. China.
Research Interests:
- Big data analysis and modeling of biological, ecological and social systems: Causality detection, resilience, robustness, optimization and nonlinear control in complex systems based on data from biosystems and ecosystems; Inverse problem of the structure and dynamics of the static multi-layer large-scale systems, detection of mutual force among self-driven agents in physical space; Online collective behavior and extreme events, evolution of human interests, human activity recognition based on sensor data.
- Nonequilibrium statistical physics and nonlinear dynamics in complex network systems: Self-organized processes, phase transition, critical behavior, flux fluctuation in the networked real systems which can be modeled by the excitable media, coupled oscillators, minority game, traffic dynamics, and epidemic spreading.
- The basic theoretical research of machine learning and big-data analysis: Data fusion and analyzing techniques for multi-dimensional and multi-scale data sets; Self-organized critical behavior in neural networks and the flexible control of information processing in brain-inspired computing.
Biography:
Publications:
2018
2018
- J.-J. Jiang, Z.-G. Huang, T. P. Seager, W. Lin, C. Grebogi, A. Hastings, and Y.-C. Lai, ``Predicting tipping points in mutualistic networks through dimension reduction,''Proceedings of the National Academy of Sciences (USA), accepted.
2017
- S. Wang, G. Su, Z.-G. Huang, M. Liu, L. Liu, Towards Complex Activity Recognition Using a Bayesian Network-Based Probabilistic Generative Framework, Pattern Recognition 10, 1016 (2017).
2016
- L.-Z. Wang, R. Su, Z.-G. Huang, X. Wang, W.-X. Wang, C. Grebogi, and Y.-C. Lai, Control and controllability of nonlinear dynamical networks: a geometrical approach, Nature Communications 7: 11323 doi 10.1038/ncomms11323 (2016).
- J.-Q. Zhang, Z.-G. Huang*, Z.-X. Wu, R. Su, and Y.-C. Lai, Controlling herding in minority game systems, Scientific Reports 6, 20925; doi: 10.1038/srep20925 (2016).
- J.-J. Jiang, Z.-G. Huang, L. Huang, H. Liu, and Y.-C. Lai*, Directed dynamical influence is more detectable with noise, Scientific Reports 6, 24088; doi 10.1038/srep24088 (2016).
- L. Liu, S. Wang, Y. Peng, Z.-G. Huang, M. Liu, B. Hu, Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty, Pattern Recognition 60, 1015 (2016). 2015
- S.-P. Zhang, Z.-G. Huang*, J.-Q. Dong, D. Eisenberg, T. P. Seager, and Y.-C. Lai*, Optimization and resilience of complex supply-demand networks, New J. Phys. 17 063029 (2015) (*Corresponding Author).
- Y.-Z. Chen, Z.-G. Huang*, S.-H. Xu and Y.-C. Lai*, Spatiotemporal patterns and predictability of cyberattacks, PloS ONE 10(5) e0124472 (2015) (*Corresponding Author).
- Q. Chen, Z.-G. Huang*, Y. Wang, and Y.-C. Lai*, Multiagent model and mean field theory of complex auction dynamics, New J. Phys. 17 093003 (2015) (*Corresponding Author)
- W.-C. Yang, Z.-G. Huang, X.-G. Wang, L. Huang, L. Yang, and Y.-C. Lai, Complex behavior of chaotic synchronization under dual coupling channels, New J. Phys.17, 023055 (2015).
- N. Yao, Z.-G. Huang, C. Grebogi, and Y.-C. Lai, Emergence of multicluster chimera states, Scientific Reports 5, 12988; 10.1038/srep12988 (2015).
- Y.-Z. Chen, Z.-G. Huang, H.-F. Zhang, D. Eisenberg, T. P. Seager, and Y.-C. Lai, Extreme events in multilayer, interdependent complex networks and control, Scientific Reports 5, 17277; doi 10.1038/srep17277 (2015).
- L. Liu, Y. Peng, M. Liu, Z.-G. Huang, Sensor-based Human Activity Recognition System with A Multilayered Model Using Time Series Shapelets, Knowledge-Based Systems 90, 138–152 (2015).
- L. Liu, Z.-G. Huang, Y. Peng, and M. Liu, "A Hierarchical Pachinko Allocation Model for Social Sentiment Mining." Knowledge Science, Engineering and Management (KSEM). Springer International Publishing, 299-311 (2015).