A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters. - Tianning Dong; Peiyi Zhang; Faming Liang (J. Comput. Graph. Stat., 2023)

Deep network embedding with dimension selection. - Tianning Dong; Yan Sun; Faming Liang (Neural Networks, 2024)

An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems. - Peiyi Zhang; Tianning Dong; Faming Liang (Comput. Stat., 2024)

Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels. - Keerthi Gopalakrishnan; Tianning Dong; Chia-Yen Ho; Yokila Arora; Topojoy Biswas; Jason Cho 001; Sushant Kumar; Kannan Achan (WWW (Companion Volume), 2025)