Publications

Selected Articles in Refereed Journals

    • Wu Q., Wei L., Liu T., Wei W., Zhang F., Yoo C,and Liu H., Advancing Environmental Quality Prediction: A Novel Approach with Attention Mechanism and Kernel Extreme Learning Machine. Journal of Environmental Management. (Under Review)
    • Geng Y., Wang J., Liu T., Gong M., Yoo C. and Liu H. Integrating Advanced Long Short-Term Memory and Stacked Autoencoder for Accurate Air Pollutant Forecasting. Environmental Science and Pollution Research. (Under Review)
    • Yang D., Chang T., Liu T., Yoo K. and Liu H. Subway Air Quality Modeling Using a Novel Multi-Scale Integration Approach. Environmental Science and Pollution Research. (Under Review)
    • Zhang W., Yang Y., Wu J., and Liu T. Deep Optimized Broad Learning System for Applications in Tabular Data Recognition. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2024.3473809
    • Zhang K., Liu T., Wang Q., Wei W., Zhang F. and Liu H., Enhancing Water Quality Prediction with Advanced Machine Learning Techniques: An Extreme Gradient Boosting Model Based on Long Short-Term Memory and Autoencoder. Journal of Hydrology. 2024, 644, https://doi.org/10.1016/j.jhydrol.2024.132115 
    • Lu Y., Wang J., Liu T., Yoo C., and Liu H., Integration of Dynamic Slow Feature Analysis and Deep Neural Networks for Subway Indoor PM2.5 Prediction. IEEE Transactions on Instrumentation and Measurement. 2024, doi: 10.1109/TIM.2024.3476591.
    • Chang T., Liu T., Ma X., Wu, Q., Cheng J., Zhang F. and Liu H. Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description. Industrial & Engineering Chemistry Research. 2024 63 (35), 15562-15574, doi: 10.1021/acs.iecr.4c00424.
    • Zhang W., Yang Y. and Liu T., Coarse-to-Fine Target Detection for HFSWR with Spatial-Frequency Analysis and Subnet Structure. IEEE Transactions on Multimedia. doi: 10.1109/TMM.2024.3453044.
    • Han J., Liu Y., Li W., Huang F., Liu T, Shen W., Corriou J. and Seferlis P., Modeling greenhouse gas emissions from biological wastewater treatment process with experimental verification: a case study of paper mill. Science of the Total Environment. vol. 924, May 10, 2024. https://doi.org/10.1016/j.scitotenv.2024.171637.
    • Zhang W., Wu J., Liu T., and Yang Y., A Two-stage Hierarchical One-Class Classification Structure for HFSWR Ship Target Detection, IEEE Transactions on Geoscience and Remote Sensing. vol. 61, pp. 1-11, 2023, Art no. 5109811, doi: 10.1109/TGRS.2023.3322112.
    • Liu T., Pillai A.V.N., Shi J., and Roberts D.J., Stable performance of MFC treating winery wastewater irrespective of seasonal variations, Journal of Environmental Engineering, October 2021. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001921.
    • Liu T., Pillai A.V.N., and Roberts D.J., Narrow pH tolerance found for a microbial fuel cell treating winery wastewater, Journal of Applied Microbiology, April 12, 2021. https://doi.org/10.1111/jam.15102.
    • Tao E.P., Shen W.H., Liu T., and Chen X.Q., Fault diagnosis based on PCA for sensors of laboratory wastewater treatment process. Chemometrics and Intelligent Laboratory Systems, 2013, 128: 49-55. https://doi.org/10.1016/j.chemolab.2013.07.012.
    • Li Y., Chen X.Q., Shen W.H., and Liu T., The retention and drainage of DIP containing different fillers and the nanosized TiO2 and modified starch dual-system, China Pulp and Paper, 2012, 31(5):15-18. http://dx.doi.org/10.11980/j.issn.0254-508X.2012.05.004.
    • Shen W.H., Liu T., and Chen X.Q., Photocatalytic degradation of dye rhodamine B by nanosized TiO2 colloids, Chinese Journal of Environmental Engineering, 2012, 6(6):1863-1870. http://en.cnki.com.cn/Article_en/CJFDTotal-HJJZ201206018.htm.
    • Liu T., Ning, L., and Shen W.H., A quick Way to Get Fuzzy Control Query Table and Its Application in Papermaking Wastewater Treatment Process, Paper Science & Technology, 2011 30(4), 78-82.
    • Liu T., and Shen W.H., A review of Applications of Fault Diagnostic Expert System in Wastewater Treatment, Paper Science & Technology, 2011, 30(2):75-81.
    • Ning L., Shen W.H., Long Z., and Liu T., Simulation and Simulation Interface Design of Activated Sludge Wastewater Treatment Process, Paper Science & Technology, 2010, 29(6): 138-142.
    • Dou X.L., Hu J., Yang J., and Liu T., Application of One Kind of Water-Soluble Phenolic Resin on Filter Paper, Paper Science & Technology, 2010, 29 (4): 24-27.

Books

    • Song, H.; Alagumalai, A.; Liu, T.; Kumar, R.; Ravindran, G.; Qin C. and Yang Y., AI-Driven Carbon Capture: Transforming Climate Action. Wiley. (Under Preparation)
    • Leiviska K., Shen W.H., Li J., Liu H.B., Li C.C., Liu T., and Tong X. Papermaking process and maintenance management, Beijing: China Light Industry Press, ISBN: 9787518415052, 2017. Print.

Selected Conference Papers

    • Liu T., Pillai A.V.N., and Roberts D.J., Electricity generation from winery wastewater using an air cathode MFC: effect of buffering, The 8th IWA Specialized Conference on Sustainable Viticulture, Winery Wastes & Agri-industrial Wastewater Management, Viña del Mar, Chine, November 2017.
    • Shen W.H., Tao E.P., Ning L., and Liu T., Study of Composite Fuzzy Control of Dissolved Oxygen in a Sequencing Batch Reactor Pilot Process of Synthetic Papermaking Wastewater, 2012 IEEE International conference on robotics and biomimetics, Guangzhou, 2012, pp. 1262-1267. https://doi.org/10.1109/ROBIO.2012.6491143
    • Liu T., Shen W.H., and Chen X.Q., Study on Design and Properties of Paper-based Nano-sized TiO2 Gas Sensor, The 4th International Symposium on Emerging Technologies of Pulping and Papermaking, Guangzhou, China, November 2010, pp. 1869-1872.