Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities. - Yang Han 006; Qi Zhang 121; Victor O. K. Li; Jacqueline C. K. Lam (CoRR, 2021)

Deep-AIR: A Hybrid CNN-LSTM Framework for Fine-Grained Air Pollution Estimation and Forecast in Metropolitan Cities. - Qi Zhang 121; Yang Han 006; Victor O. K. Li; Jacqueline C. K. Lam (IEEE Access, 2022)

A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast. - Yang Han 006; Jacqueline C. K. Lam; Victor O. K. Li; Qi Zhang 121 (IEEE Trans. Big Data, 2022)

CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation. - Yangwen Yu; Victor O. K. Li; Jacqueline C. K. Lam; Kelvin Chan; Qi Zhang 121 (IEEE Trans. Big Data, 2025)