ZHANG, ZIPENG

ZHANG, ZIPENG

Mastermind from the war room, triumph on the distant battlefield.

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

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Blog Post number 2

less than 1 minute read

Published:

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Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

education

Master of Mechanical Engineering

Graduated in

Nomination for the China University of Mining and Technology’s First Grand Prize Scholarship (Top 0.3%), National Scholarship

portfolio

publications

A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy

Published in Expert Systems with Applications, 2024

This paper proposes HWEAVOA, a nonlinear African vulture optimization algorithm integrating Henon chaotic mapping, elite population strategy, nonlinear adaptive inertial weight, and reverse learning competition to address AVOA limitations in complex multimodal problems, demonstrating faster/smoother convergence, superior convergence speed, optimization ability, solution stability, and competitive overall performance in swarm intelligence algorithms.

Recommended citation: Wang, B., Zhang, Z., Siarry, P., Liu, X., Królczyk, G., Hua, D., ... & Li, Z. (2024). A nonlinear African vulture optimization algorithm combining Henon chaotic mapping theory and reverse learning competition strategy. Expert Systems with Applications, 236, 121413.
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Gas-insulated switch-gear mechanical fault detection based on acoustic feature analysis using a multi-state pre-trained neural network

Published in Measurement Science and Technology, 2024

Recommended citation: Wang, Z., Zhang, Z., Shao, Y., Qian, K., Liu, H., Hu, B., & Schuller, B. W. (2024). Gas-insulated switch-gear mechanical fault detection based on acoustic feature analysis using a multi-state pre-trained neural network. Measurement Science and Technology, 35(7), 076121.
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CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals

Published in Engineering Applications of Artificial Intelligence, 2024

Recommended citation: Zhang, Z., Liu, H., Shao, Y., Yang, J., Liu, S., & Yuan, G. (2024). CFENet: a contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals. Engineering Applications of Artificial Intelligence, 135, 108835.
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A novel intelligent indoor fire and combustibles detection method based on multi-channel transfer learning strategy with acoustic signals

Published in Process Safety and Environmental Protection, 2024

Recommended citation: Wang, Z., Zhang, Z., Wang, Z., Lu, J., & An, W. (2024). A novel intelligent indoor fire and combustibles detection method based on multi-channel transfer learning strategy with acoustic signals. Process Safety and Environmental Protection, 189, 1217-1225.
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A temporal-frequency contrastive learing method for acoustic-based mechanical fault detection in gas-insulated switch-gear

Published in Nondestructive Testing and Evaluation, 2025

Recommended citation: Sheng, Y., Zhang, B., Zhang, Z., Shao, Y., Yuan, G., Liu, J., & Liu, H. (2025). A temporal-frequency contrastive learing method for acoustic-based mechanical fault detection in gas-insulated switch-gear. Nondestructive Testing and Evaluation, 1–23.
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A Noise-Robust xLSTM-Based Method for Fault Diagnosis in Gas-Insulated Switchgear Using Acoustic Signals Under Strong Noise Interference

Published in Expert Systems with Applications, 2026

Recommended citation: Dong, H., Zhang, Y., Zhang, B., Zhang, Z., Shao, Y., Yuan, G., & Liu, H. (2025). A Noise-Robust xLSTM-Based Method for Fault Diagnosis in Gas-Insulated Switchgear Using Acoustic Signals Under Strong Noise Interference. Expert Systems with Applications, 130827.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.