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Ajim Uddin
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2020 – today
- 2024
- [c10]Jingyi Gu, Junyi Ye, Ajim Uddin, Guiling Wang:
DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings. ICAIF 2024: 388-396 - 2023
- [c9]Siqi Jiang, Ajim Uddin, Zhi Wei, Dantong Yu:
The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance. ICAIF 2023: 235-243 - [c8]Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Xinyuan Tao, Dantong Yu:
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation. ICAIF 2023: 409-417 - [c7]Uras Varolgunes, Dan Zhou, Dantong Yu, Ajim Uddin:
NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation. ICAIF 2023: 516-523 - [c6]A M. Muntasir Rahman, Ajim Uddin, Grace Guiling Wang:
HODL: The Hold of Reddit Over the Stock Market. ICDEW 2023: 36-39 - 2022
- [c5]Ajim Uddin, Xinyuan Tao, Chia-Ching Chou, Dantong Yu:
Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion. ICAIF 2022: 282-290 - [c4]Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Dantong Yu:
Core Matrix Regression and Prediction with Regularization. ICAIF 2022: 291-299 - [c3]Dan Zhou, Ajim Uddin, Xinyuan Tao, Zuofeng Shang, Dantong Yu:
Temporal Bipartite Graph Neural Networks for Bond Prediction. ICAIF 2022: 308-316 - 2021
- [c2]Ajim Uddin, Xinyuan Tao, Dantong Yu:
Attention Based Dynamic Graph Learning Framework for Asset Pricing. CIKM 2021: 1844-1853 - [i1]Ajim Uddin, Dan Zhou, Xinyuan Tao, Chia-Ching Chou, Dantong Yu:
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization. CoRR abs/2109.01773 (2021) - 2020
- [c1]Ajim Uddin, Xinyuan Tao, Chia-Ching Chou, Dantong Yu:
Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast. ICDM (Workshops) 2020: 377-384
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last updated on 2024-11-19 21:46 CET by the dblp team
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