Selected Publications (* corresponding author)
2025
1. Xie, Y., Wu, Y. *, Huang, Y., Jin, Y., Li, Y., Li, L., He, C., Zhao, B., Li, X., Liu, S. *, 2025. Optimal scheduling method integrating priori expert knowledge for water distribution systems based on historical operational information tensor: A new perspective. Resources, Conservation and Recycling 219, 108321.
2. Ma, X., Wu, Y. *, Guo, G., Liu, S.*, Xu, Y., Fan, J., Wang, H., Xu, L., 2025. Leak detection in water supply networks using two-stage temporal segmentation and incremental learning for non-stationary acoustic signals. Water Research X 29, 100333.
3. Jia, T., Yu, J., Sun, A., Wu, Y., Zhang, S., Peng, Z., 2025. Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment. Journal of Environmental Management 375, 124268.
2024
1. Wu, Y., Liu, S., Kapelan Z., 2024. Addressing data limitations in leakage detection of water distribution systems: Data creation, data requirement reduction, and knowledge transfer. Water Research 267, 122471.
2. Wu, Y., Xu M., Liu, S., 2024. Generative artificial intelligence: A new engine for advancing environmental science and engineering. Environmental Science & Technology 58(40), 17524-17528.
3. Wu, Y., Ma, X., Guo, G., Jia, T., Huang, Y., Liu, S., Fan, J., Wu, X., 2024. Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective. Water Research 261, 121999.
4. Yu, X., Wu, Y.*, Meng, F., Zhou, X., Liu, S.*, Huang, Y., Wu, X., 2024. A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects. Water Research 253, 121238.
5. He, C., Wu, Y., Zhou, X., Huang, Y., Shui, A., Liu, S., 2024. The heterogeneous impact of population mobility on the influent characteristics of wastewater treatment facilities. Journal of Environmental Management 366, 121672.
6. Xie, Y., Wu, Y., Jin, Y., Li, Y., Zhao, B., Li, X., Ba, Z., Liu, S., 2024. Energy-efficient and reliable coordinated scheduling for water distribution systems: enhancing hydraulic conditions and water quality. AQUA - Water Infrastructure, Ecosystems and Society 73 (11), 2229-2241.
2023
1. Wu, Y., Wang, X., Liu, S., Yu, X., Wu, X., 2023. A weighting strategy to improve water demand forecasting performance based on spatial correlation between multiple sensors. Sustainable Cities and Society 93, 104545.
2. Yu, X., Wu, Y.*, Zhou, X., Liu, S.*, 2023. Resilience evaluation for water distribution system based on partial nodes’ hydraulic information. Water Research 241, 120148.
3. Wu, Y., Ma, X., Guo, G., Huang, Y., Liu, M., Liu, S., Zhang, J., Fan, J., 2023. Hybrid method for enhancing acoustic leak detection in water distribution systems: Integration of handcrafted features and deep learning approaches. Process Safety and Environmental Protection 177, 1366-1376.
4. Huang, Y., Xie, Y., Wu, Y., Meng, F., He, C., Zou, H., Wang, X., Shui, A., Liu, S., 2023. Modeling indirect greenhouse gas emissions sources from urban wastewater treatment plants: Integrating machine learning models to compensate for sparse parameters with abundant observations. Environmental Science & Technology 57(48), 19860-19870.
5. Liu, M., Lang, X., Li, S., Deng, L., Peng, B., Wu, Y., Zhou, X., 2023. Improved machine learning leak fault recognition for low-pressure natural gas valve. Process Safety and Environmental Protection 178, 947-958.
6. Wang, X., Wu, Y., Liu, S., Wu, X., 2023. A flow fusion-based long short-term memory neural network for ultra-short-term water demand forecasting in district metering areas. Water & Wastewater Engineering 59(03), 133-139. (in Chinese)
2022
1. Zhou, X., Liu, S., Xu, W., Xin, K., Wu, Y., Meng, F., 2022. Bridging hydraulics and graph signal processing: A new perspective to estimate water distribution network pressures. Water Research 217, 118416.
2. Liu, S., Xu, Q., Xin, K., Guo, J., Guo, G., Shen, J., Wu, X., Li, Z., Wang, X., Zhao, Y., Zhou, X., Wu, Y., Qiang, Z., 2022. Technologies and equipment for systematic leakage control of water distribution networks. Construction Science and Technology 07, 115-117. (in Chinese)
2021
1. Wu, Y., Liu, S., Zhao, L., 2021. Characteristic analysis of water consumption data in metering zones of water distribution systems. Water & Wastewater Engineering 05, 116-121+127. (in Chinese)
2. Guo, G., Yu, X., Liu, S., Ma, Z., Wu, Y., Xu, X., Wang, X., Smith, K., Wu, X., 2021. Leakage detection in water distribution systems based on time–frequency convolutional neural network. Journal of Water Resources Planning and Management 147(2), 4020101.
2020
1. Wu, Y., Liu, S., 2020. Burst detection by analyzing shape similarity of time series subsequences in district metering areas. Journal of Water Resources Planning and Management 146(1), 4019068.
2. Wang, X., Guo, G., Liu, S., Wu, Y., Xu, X., Smith, K., 2020. Burst detection in district metering areas using deep learning method. Journal of Water Resources Planning and Management 146(6), 4020031.
2018
1. Wu, Y., Liu, S., Wang, X., 2018. Distance-based burst detection using multiple pressure sensors in district metering areas. Journal of Water Resources Planning and Management 144(11), 6018009.
2. Wu, Y., Liu, S., Smith, K., Wang, X., 2018. Using correlation between data from multiple monitoring sensors to detect bursts in water distribution systems. Journal of Water Resources Planning and Management 144(2), 4017084.
3. Guo, G., Liu, S., Wu, Y., Li, J., Zhou, R., Zhu, X., 2018. Short-term water demand forecast based on deep learning method. Journal of Water Resources Planning and Management 144(12), 4018076.
2017
1. Wu, Y., Liu, S., 2017. A review of data-driven approaches for burst detection in water distribution systems. Urban Water Journal 14(9), 972-983.
2. Yuan, Q., McIntyre, N., Wu, Y., Liu, Y., Liu, Y., 2017. Towards greater socio-economic equality in allocation of wastewater discharge permits in China based on the weighted Gini coefficient. Resources Conservation and Recycling 127, 196-205.
3. Smith, K., Liu, S., Liu, Y., Liu, Y., Wu, Y., 2017. Reducing energy use for water supply to China's high-rises. Energy and Buildings 135, 119-127.
4. Liu, S., Wu, Y., Wang, X., Liu, Y., Li, J., 2017. Clustering algorithm for burst detection in water distribution systems. Journal of Tsinghua University (Science and Technology) 57(10), 1096-1101. (in Chinese)
5. Liu, S., Wu, Y., Che, H., 2017. Monitoring data quality control for a water distribution system using data self-recognition. Journal of Tsinghua University (Science and Technology) 57(09), 999-1003. (in Chinese)
2016
1. Wu, Y., Liu, S., Wu, X., Liu, Y., Guan, Y., 2016. Burst detection in district metering areas using a data driven clustering algorithm. Water Research 100, 28-37.
2015
1. Liu, S., Wu, Y., Che, H., 2015. Outlier detection for a water distribution system based on data interactive-recognition approach. Water & Wastewater Engineering 41(11), 150-154. (in Chinese)
