Zheng Zhao Aalto University

  • Doctoral Student, School of Electrical Engineering
  • Prof. Simo Särkkä group
  • Apr 2018 - end of 2021

Doctoral candidate in Aalto University.

Tags: Bayesian filtering, Machine Learning, SDE, Gaussian Process
Memberships: Finnish Statistical Society, IMS, RSS


Journal articles:

Zheng Zhao, Muhammad Emzir, and Simo Särkkä. Deep State-space Gaussian Processes. Statistics and Computing, 31(6):75, 2021. BibTex; PDF; Code; Errata

Zheng Zhao, Toni Karvonen, Roland Hostettler, and Simo Särkkä. Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Transactions on Automatic Control, 66(9):4460-4467, 2020. BibTex; PDF; Code; Errata

Sarang Thombre, Zheng Zhao, Henrik Ramm-Schmidt, José M Vallet García, Tuomo Malkamäki, Sergey Nikolskiy, Toni Hammarberg, Hiski Nuortie, M Zahidul H Bhuiyan, Simo Särkkä, and Ville V Lehtola. Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE Transactions on Intelligent Transportation Systems, 2020, in press. BibTex; PDF; Code

Zheng Zhao, Simo Särkkä, and Ali Bahrami Rad. Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. Journal of Signal Processing Systems, 92(7):621-636, 2020. BibTex; PDF; Code

Zheng Zhao and Naigong Yu. An improved quantum particle swarm optimisation and its application on hand kinematics tracking. International Journal of Intelligent Engineering Informatics, 2016. BibTex; PDF; Code

Articles under review:

Zheng Zhao, Rui Gao, and Simo Särkkä. Hierarchical Non-Stationary Temporal Gaussian Processes With L1-Regularization. arXiv:2105.09695, 2021. BibTex; PDF; Code

Adrien Corenflos, Zheng Zhao, and Simo Särkkä. Temporal Gaussian Process Regression in Logarithmic Time. arXiv:2102.09964, 2020. BibTex; PDF; Code

Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K Katsaggelos, and Simo Särkkä. Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. arXiv:1909.02971, 2020. BibTex; PDF; Code

Conference proceedings (peer-reviewed):

Zheng Zhao, Filip Tronarp, Roland Hostettler, and Simo Särkkä. State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. BibTex; PDF; Code

Ajinkya Gorad, Zheng Zhao, and Simo Särkkä. Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2020. BibTex; PDF; Code

Rui Gao, Filip Tronarp, Zheng Zhao, and Simo Särkkä. Regularized state estimation and parameter learning via augmented Lagrangian Kalman smoother method. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019. BibTex; PDF; Code

Zheng Zhao, Ali Bahrami Rad, and Simo Särkkä. Spectro-temporal ECG analysis for atrial fibrillation detection. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2018. BibTex; PDF; Code

P.O.Box 12200
Work Address:
Room F323
Rakentajanaukio 2c, Espoo
02150 Finland
zheng.zhao $at$ aalto.fi
zz $at$ zabemon.com
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Page last updated: September 6, 2021.