Research Projects

P.S., click the hyperlink title to access the source.

[Interpretable Neural Network (2024-)]

[Spatiotemporal Large Language Models (2024-)]

[Learning-guided Low-rank Tensor Representation (2023-)]

[Tucker-based Low-rank Tensor Completion (2020-2023)]

Paper

• TuckerAPP: A novel sSpatiotemporal Tucker decomposition approach for traffic imputation. SP 2025
• Low-Rank bi-directional neighbor Tucker decomposition for traffic data imputation. TRB 2025
• Overlapping Tensor-train completion with TV regularization for image reconstruction. ICCBD+AI 2024
• Low-Rank autoregressive Tucker decomposition for traffic data imputation. ICAC 2024
• BACP: Bayesian augmented CP factorization for traffic data imputation. ICIC 2024
• Enhanced low-rank and sparse Tucker decomposition for image completion. ICASSP 2024
• Accurate Regularized Tucker Decomposition for Image Restoration. Applied Mathematical Modeling 2023
• LSPTD: Low-rank and spatiotemporal priors enhanced Tucker decomposition for internet traffic data imputation. ITSC 2023

[COVID-19 Intervention Analysis (2020-2021)]

Paper

• Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S., and Singapore. PLoS ONE 2021.

Award

• National Postgraduate Statistical Modeling Competition (Second Prize)
  

[Dynamic Risk Assessment of Compound Hazards (MSc: 2018-2020)]

Paper

• Dynamic Risk Assessment of Compound Hazards Based on VFS-IEM-IDM: A Case Study of Typhoon-Rainstorm Hazards in Shenzhen, China. NHESS 2022.
• Infrastructural Aspects of Rain-Related Cascading Disasters: A Systematic Literature Review. IJERPH 2020.
• Risk Evaluation Based on Variable Fuzzy Sets and Information Diffusion Method. JAMP 2020.