Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast. - Ajim Uddin; Xinyuan Tao; Chia-Ching Chou; Dantong Yu (ICDM (Workshops), 2020)

Attention Based Dynamic Graph Learning Framework for Asset Pricing. - Ajim Uddin; Xinyuan Tao; Dantong Yu (CIKM, 2021)

MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization. - Ajim Uddin; Dan Zhou; Xinyuan Tao; Chia-Ching Chou; Dantong Yu (CoRR, 2021)

Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion. - Ajim Uddin; Xinyuan Tao; Chia-Ching Chou; Dantong Yu (ICAIF, 2022)

Core Matrix Regression and Prediction with Regularization. - Dan Zhou; Ajim Uddin; Zuofeng Shang; Cheickna Sylla; Dantong Yu (ICAIF, 2022)

Temporal Bipartite Graph Neural Networks for Bond Prediction. - Dan Zhou; Ajim Uddin; Xinyuan Tao; Zuofeng Shang; Dantong Yu (ICAIF, 2022)

The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance. - Siqi Jiang; Ajim Uddin; Zhi Wei 001; Dantong Yu (ICAIF, 2023)

NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation. - Uras Varolgunes; Dan Zhou; Dantong Yu; Ajim Uddin (ICAIF, 2023)

A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation. - Dan Zhou; Ajim Uddin; Zuofeng Shang; Cheickna Sylla; Xinyuan Tao; Dantong Yu (ICAIF, 2023)

HODL: The Hold of Reddit Over the Stock Market. - A M. Muntasir Rahman; Ajim Uddin; Grace Guiling Wang (ICDEW, 2023)

DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings. - Jingyi Gu; Junyi Ye; Ajim Uddin; Guiling Wang 001 (ICAIF, 2024)

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy. - A M. Muntasir Rahman; Ajim Uddin; Guiling Wang 001 (CoRR, 2025)