CV

Education

• Ph.D in Chair of Health Informatics (CHI), Technical University of Munich, 2026 to 2030 (expected)
• M.S. in School of Mechanical Engineering, China University of Mining and Technology, 2022-2025 (Outstanding Graduate)
• B.S. in SunYue Qi Honor College, China University of Mining and Technology, 2018-2022 (Dual Degree in Safety Engineering and Computer Science and Engineering, Honorary Degree)

Publications

Bayesian knowledge-guided confidence aware model based on multimodal pre-trained LLMs for depression detection

Wang, Z., Zhai, H., Jia, T., Wang, Z., Zhang, H., Qian, K., ... & Hu, B. (2026). Bayesian knowledge-guided confidence aware model based on multimodal pre-trained LLMs for depression detection. Pattern Recognition, 114388.

MCL: Mamba-Based Contrastive Learning method for coal gangue identification

Qiu, H., Zhang, Z., Zhang, B., Yang, S., Yao, N., & Liu, H. (2026). MCL: Mamba-Based Contrastive Learning method for coal gangue identification. International Journal of Coal Preparation and Utilization, 1–26. https://doi.org/10.1080/19392699.2026.2708066

A Noise-Robust xLSTM-Based Method for Fault Diagnosis in Gas-Insulated Switchgear Using Acoustic Signals Under Strong Noise Interference

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.

An innovative hybrid model for ash content prediction in froth flotation based on contrastive learning

Zhou, M., Zhang, Z., Cheng, X., Yang, S., Wen, Z., & Zhou, C. (2025). An innovative hybrid model for ash content prediction in froth flotation based on contrastive learning. International Journal of Coal Preparation and Utilization, 1–25.

Coal gangue recognition in the strong background noise using two-level auditory feature fusion with attention mechanism

Yang, Z., Wang, S., Yang, S., Liu, S., Zhang, Z., & Liu, H. (2025). Coal gangue recognition in the strong background noise using two-level auditory feature fusion with attention mechanism. Measurement, 117628.

A temporal-frequency contrastive learing method for acoustic-based mechanical fault detection in gas-insulated switch-gear

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.

LRetUNet: A U-Net-based retentive network for single-channel speech enhancement

Zhang, Y., Zhang, Z., Guo, W., Chen, W., Liu, Z., & Liu, H. (2025). LRetUNet: A U-Net-based retentive network for single-channel speech enhancement. Computer Speech & Language, 93, 101798.

Graph and frequency leverage: a novel coal gangue identification method

Li, J., Zhang, Z., Yang, S., Liu, S., Wang, S., & Liu, H. (2025). Graph and frequency leverage: a novel coal gangue identification method. Engineering Research Express, 7(2), 025543.

Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network

Zhang, Z., Zhu, Z., Meng, B., Yang, Z., Wu, M., Cheng, X., ... & Liu, H. (2025). Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network. Expert Systems with Applications, 274, 126880.

MSGJO: a new multi-strategy AI algorithm for the mobile robot path planning

Wang, B., Zhang, Z., Andriukaitis, D., Liu, X., Hua, D., Li, Z., ... & Chauhan, S. (2025). MSGJO: a new multi-strategy AI algorithm for the mobile robot path planning. The International Journal of Advanced Manufacturing Technology, 1-29.

A novel intelligent indoor fire and combustibles detection method based on multi-channel transfer learning strategy with acoustic signals

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.

CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals

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.

Research on sound quality prediction of vehicle interior noise using the human-ear physiological model

Zhao, Y., Liu, H., Guo, W., He, Z., Yang, J., & Zhang, Z. (2024). Research on sound quality prediction of vehicle interior noise using the human-ear physiological model. The Journal of the Acoustical Society of America, 156(2), 989-1003.

Multi-stage strength estimation network with cross attention for single channel speech enhancement

Zhang, Z., Ding, Y., Chen, W., Chen, Y., Guo, W., & Liu, H. (2024). Multi-stage strength estimation network with cross attention for single channel speech enhancement. Signal, Image and Video Processing, 18(10), 6937-6948.

CST-UNet: Cross Swin Transformer Enhanced U-Net with Masked Bottleneck for Single-Channel Speech Enhancement

Zhang, Z., Chen, W., Guo, W., Liu, Y., Yang, J., & Liu, H. (2024). CST-UNet: Cross Swin Transformer Enhanced U-Net with Masked Bottleneck for Single-Channel Speech Enhancement. Circuits, Systems, and Signal Processing, 43(9), 5989-6010.

Gas-insulated switch-gear mechanical fault detection based on acoustic using feature fused neural network

Zhang, Z., Liu, H., Yuan, G., Yang, J., Liu, S., Shao, Y., & Zhang, Y. (2024). Gas-insulated switch-gear mechanical fault detection based on acoustic using feature fused neural network. Electric Power Systems Research, 230, 110226.

Gas-insulated switch-gear mechanical fault detection based on acoustic feature analysis using a multi-state pre-trained neural network

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.

Deep learning with TabNet: rapid coal ash content estimation via X-ray fluorescence

Zhou, M., Wen, Z., Xu, G., Zhang, Z., & Zhou, C. (2025). Deep learning with TabNet: rapid coal ash content estimation via X-ray fluorescence. International Journal of Coal Preparation and Utilization, 45(3), 523–547.

A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

He, Z., Guo, H., Liu, H., Zhao, Y., Zhang, Z., & Yang, S. (2024). A sound quality evaluation method for vehicle interior noise based on auditory loudness model. Sound & Vibration, 58(1), 045470-045470.

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

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.