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Zilu Wang Assistant
Professor School
of Mechanical Engineering and Automation Harbin
Institute of Technology (Shenzhen) |
Biography
Zilu Wang received the Ph.D. degree in Control
Science and Engineering from Huazhong University of Science and Technology,
Wuhan, China, in 2021, and received the B.E. degree in Automation from Central
South University, Changsha, China, in 2016. She is currently an assistant
professor in the School of Mechanical Engineering and Automation, Harbin
Institute of Technology (Shenzhen). She has been engaged in the long-term
design and application research of brain-inspired intelligent hardware systems.
Her research interests mainly include brain-inspired computing, autonomous
intelligent system, evolutionary neural network, and brain-like emotional robot.
She has currently published over ten SCI/EI papers in IEEE/ACM Trans. journals
and related international conferences. She is in charge of a youth project
funded by the National Natural Science Foundation of China and a general
project supported by the China Postdoctoral Science Foundation. Additionally,
she is involved in an international joint project funded by the Ministry of
Science and Technology, and multiple general and key projects funded by the
National Natural Science Foundation. She was elected the President Excellent postdoctoral
of Southern University of Science and Technology in 2021, and awarded national scholarships
respectively in 2020 and 2018.
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Ph.D. in Control Science and Engineering, Huazhong
University of Science and Technology, 2021
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B.E. in Automation, Central South University, 2016
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2023-present, School of Mechanical Engineering and
Automation, Harbin Institute of Technology (Shenzhen), Assistant Professor
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2021-2023, Department of Computer Science and
Engineering, Southern University of Science and Technology, Postdoctoral Researcher
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Brain-inspired computing
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Autonomous intelligent system
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Evolutionary neural network
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Brain-like emotional robot
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"Design and application of memristive
neuromorphic hardware system for brain-inspired autonomous learning", Postdoctoral
Science Foundation of China, 2021.7-2023.7, PI
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"Memristive neuromorphic computing hardware
system design and application research for brain-inspired autonomous learning
and evolution", National Natural Science Foundation of China, 2023.1-2025.12,
PI
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Z. Wang and X. Wang, "A Novel
Memristor-Based Circuit Implementation of Full-Function Pavlov Associative
Memory Accorded with Biological Feature," in IEEE Transactions on Circuits
and Systems I: Regular Papers, vol. 65, no. 7, pp. 2210-2220, Jul. 2018, doi:
10.1109/TCSI.2017.2780826.
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Z. Wang, Q. Hong and X. Wang,
"Memristive Circuit Design of Emotional Generation and Evolution Based on
Skin-Like Sensory Processor," in IEEE Transactions on Biomedical Circuits
and Systems, vol. 13, no. 4, pp. 631-644, Aug. 2019, doi:
10.1109/TBCAS.2019.2923055.
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Z. Wang, X. Wang, Z. Lu, W. Wu and
Z. Zeng, "The Design of Memristive Circuit for Affective Multi-Associative
Learning," in IEEE Transactions on Biomedical Circuits and Systems, vol.
14, no. 2, pp. 173-185, Apr. 2020, doi:
10.1109/TBCAS.2019.2961569.
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Z. Wang, Q. Hong and X. Wang,
"A Memristive Circuit Implementation of Eyes State Detection in Fatigue
Driving Based on Biological Long Short-Term Memory Rule," in IEEE/ACM
Transactions on Computational Biology and Bioinformatics, vol. 18, no. 6, pp.
2218-2229, Nov.-Dec. 2021, doi:
10.1109/TCBB.2020.2974944.
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Z. Wang, X. Wang and Z. Zeng,
"Memristive Circuit Design of Brain-Like Emotional Learning and
Generation," in IEEE Transactions on Cybernetics, Jul. 2021, doi:
10.1109/TCYB.2021.3090811.
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Z. Wang, X. Wang and Z. Zeng,
"Memristive Circuit Design of Brain-Inspired Emotional Evolution Based on
Theories of Internal Regulation and External Stimulation," in IEEE
Transactions on Biomedical Circuits and Systems, vol. 15, no. 6, pp. 1380-1392,
Dec. 2021, doi:
10.1109/TBCAS.2021.3127573.
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Z. Wang, X. Shi and X. Yao, "A
Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on
Memristive Arrays," in ACM Transactions on Design Automation of Electronic
Systems, vol. 28, no. 5, pp. 1-32, Sep. 2023, doi: https://doi.org/10.1145/3598421.
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Z. Wang and X. Yao, "A
Brain-inspired Fully Hardware Hopfield Neural Network based on Memristive
Arrays," in 2023 International Joint Conference on Neural Networks
(IJCNN), Gold Coast, Australia, 2023, pp. 1-10, doi:
10.1109/IJCNN54540.2023.10191244.
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J. Zheng, S. Zhang, Z. Wang, X. Wang and Z.
Zeng, "Multi-channel Weight-sharing Autoencoder Based on Cascade Multi-head
Attention for Multimodal Emotion Recognition," in IEEE Transactions on
Multimedia, Jan. 2022, doi:
10.1109/TMM.2022.3144885.
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Z. Chen, X. Wang, C. Yang, Z. Wang and Z.
Zeng, "Memristive Circuit Design for Personalized Emotion Generation With
Memory and Retrieval Functions," in IEEE Transactions on Cognitive and
Developmental Systems, doi:
10.1109/TCDS.2023.3317066.
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X. Shi, Z. Wang, L. L. Minku
and X. Yao, "Explaining Memristive Reservoir Computing Through Evolving
Feature Attribution," in Proceedings of the Companion Conference on
Genetic and Evolutionary Computation (GECCO '23 Companion), Association for
Computing Machinery, New York, NY, USA, 683-686, doi:
https://doi.org/10.1145/3583133.3590619.
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President Excellent Postdoctoral (SUSTECH)
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National Scholarship
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Outstanding Graduate
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Outstanding Graduate Student
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Outstanding Graduate Cadre
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Outstanding Undergraduate
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Outstanding Member of Communist Youth League
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Sea Whale Exploration Scholarship
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Huiding Technology
Scholarship
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Knowledge and Practice Scholarship
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Academic Scholarship
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Second Prize of Hunan College Students Intelligent Car
Competition