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Umeå University
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Staff photo Zonghua Gu

Zonghua Gu

I do research on cyberphysical systems (CPS) - embedded systems for using AI to control and regulate machines and devices.

Contact

E-mail
zonghua.gu@umu.se
Phone
+46 90 786 67 49, +46 72 084 96 64

Works at

Affiliation
Professor at Department of Applied Physics and Electronics
Location
X, Håken Gullessons väg 20, Teknikhuset, TB416 Umeå universitet, 901 87 Umeå

My research addresses the interdisciplinary area of real-time embedded and Cyber-Physical Systems (CPS), which feature tight integration and interactions between embedded, networked processors and the physical environment.

The research aims to develop algorithms and techniques to help make such systems both safer and more efficient, especially taking into consideration the wide deployment of Learning-enabled Components such as Deep Neural Networks in safety-critical systems.

I am especially interested in intelligent autonomous systems, such as autonomous vehicles.

A high-resilience imprecise computing architecture for mixed-criticality systems
IEEE Transactions on Computers, IEEE 2023, Vol. 72, (1) : 29-42
Jiang, Zhe; Dai, Xiaotian; Burns, Alan; et al.
Timing performance benchmarking of out-of-distribution detection algorithms
Journal of Signal Processing Systems
Luan, Siyu; Gu, Zonghua; Saremi, Amin; et al.
Model-based reinforcement learning and neural network-based policy compression for spacecraft rendezvous on resource-constrained embedded systems
IEEE Transactions on Industrial Informatics, IEEE 2023, Vol. 19, (1) : 1107-1116
Yang, Zhibin; Xing, Linquan; Gu, Zonghua; et al.
Towards minimum WCRT bound for DAG tasks under prioritized list scheduling algorithms
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE 2022, Vol. 41, (11) : 3874-3885
Chang, Shuangshuang; Bi, Ran; Sun, Jinghao; et al.
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training
IEEE transactions on intelligent transportation systems (Print), IEEE 2022, Vol. 23, (7) : 9430-9441
Ding, Feng; Yu, Keping; Gu, Zonghua; et al.
Online re-routing and re-scheduling of time-triggered flows for fault tolerance in time-sensitive networking
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE 2022, Vol. 41, (11) : 4253-4264
Feng, Zhiwei; Gu, Zonghua; Yu, Haichuan; et al.
Preface
2022 2nd international conference on intelligent technology and embedded systems (ICITES), IEEE 2022 : VI-
Gu, Zonghua; Jiang, Wei; Ho, Tsung-Yi
Data availability optimization for cyber-physical systems
Proceedings: IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022, Institute of Electrical and Electronics Engineers (IEEE) 2022 : 349-356
Li, Liying; Cong, Peijin; Zhou, Junlong; et al.
LRP-based network pruning and policy distillation of robust and non-robust DRL agents for embedded systems
Concurrency and Computation
Luan, Siyu; Gu, Zonghua; Xu, Rui; et al.
A modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function
IEEE transactions on industrial electronics (1982. Print), IEEE 2022, Vol. 69, (10) : 10694-10703
Pan, Zhe; Gu, Zonghua; Jiang, Xiaohong; et al.
Special Issue on Optimization of Cross-layer Collaborative Resource Allocation for Mobile Edge Computing, Caching and Communication
Computer Communications, Elsevier 2022, Vol. 181 : 472-473
Wan, Shaohua; Wiśniewski, Remigiusz; Alexandropoulos, George; et al.
LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems
2022 IEEE 25th International Symposium on Real-Time Distributed Computing, ISORC 2022
Xu, Rui; Luan, Siyu; Gu, Zonghua; et al.
CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection
ACM Transactions on Embedded Computing Systems, Association for Computing Machinery (ACM) 2022, Vol. 21, (4)
Zhao, Qingling; Chen, Mingqiang; Gu, Zonghua; et al.
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms
ACM Transactions on Embedded Computing Systems, ACM Digital Library 2022, Vol. 21, (2)
Zhao, Qingling; Qu, Mengfei; Gu, Zonghua; et al.
Out-of-Distribution Detection for Deep Neural Networks with Isolation Forest and Local Outlier Factor
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 2021, Vol. 9 : 132980-132989
Luan, Siyu; Gu, Zonghua; Freidovich, Leonid B.; et al.
An Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems
IEEE transactions on intelligent transportation systems (Print), IEEE 2021, Vol. 22, (7) : 4487-4495
Wan, Shaohua; Xu, Xiaolong; Wang, Tian; et al.
Exploiting augmented intelligence in the modeling of safety-critical autonomous systems
Formal Aspects of Computing, Springer 2021, Vol. 33, (3) : 343-384
Yang, Zhibin; Bao, Yang; Yang, Yongqiang; et al.
Simulation Performance Enhancement in Automotive Embedded Control Using the Unscented Transform
IEEE Access, IEEE 2020, Vol. 8 : 222041-222049
Elias Ortega Paredes, Abraham; Nunes, Lauro Roberto; Dias Santos, Max Mauro; et al.
Cognitive computing and wireless communications on the edge for healthcare service robots
Computer Communications, Elsevier 2020, Vol. 149 : 99-106
Wan, Shaohua; Gu, Zonghua; Ni, Qiang
Deep Learning Models for Real-time Human Activity Recognition with Smartphones
Mobile Networks and Applications, Springer 2020, Vol. 25, (2) : 743-755
Wan, Shaohua; Qi, Lianyong; Xu, Xiaolong; et al.
Efficient Spiking Neural Networks With Logarithmic Temporal Coding
IEEE Access, IEEE 2020, Vol. 8 : 98156-98167
Zhang, Ming; Gu, Zonghua; Zheng, Nenggan; et al.
Model-based development of an engine control module for a spark ignition engine
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) 2018, Vol. 6 : 53638-53649
De Alcantara Dias, Bruno Martin; Maria Lagana, Armando Antonio; Justo, Joao Francisco; et al.
View publications in DiVA

Research groups

Head of research
Cooperative and intelligent embedded systems
Artificial Intelligence

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