Dantong Yu

Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention based dynamic graph neural network for asset pricing.. Global finance journal, 58,

Uddiin, Ajim, & Tao, Xinyuan, & Yu, Dantong (2023). Attention Based Dynamic Graph Neural Network for Asset Pricing. Global Finance Journal, 58(November 2023),

Varolgunes, Uras, & Yao, Shibo, & Ma, Yao, & Yu, Dantong (2023). Embedding Imputation With Self-Supervised Graph Neural Networks. IEEE Access, 11, 70610--70620.

Fu, Mengchuan, & Yu, Dantong, & Zhou, Dan (2023). Secret Recipe of IPO survival: ESG disclosure and performance. Financial Markets, Institutions & Instruments, 32(1), 3-19.

Uddiin, Ajim, & Tao, Xinyuan, & Chou, Chia-Ching, & Yu, Dantong (2022). Are missing values important for earnings forecasts? A machine learning perspective. Quantitative Finance , 22(6), 1113-1132 .

Uddiin, Ajim, & Tao, Xinyuan, & Chou, C C, & Yu, Dantong (2022). Are missing values important for earnings forecast? a machine learning perspective.. Quantitative finance, 22(6), 1113-1132.

Uddiin, Ajim, & Tao, Xinyuan, & Chou, Chia Ching, & Yu, Dantong (2022). Are missing values important for earnings forecasts? A machine learning perspective. Quantitative Finance, 22(6), 1113-1132.

Ye, Xinyue, & Wang, Wenbo, & Zhang, Xiaoqi, & Li, Zhenlong, & Yu, Dantong, & Du, Jiaxin, & Chen, Zhihui (2021). Reconstructing spatial information diffusion networks with heterogeneous agents and text contents. Trans. GIS, 25(4), 1654--1673.

Uddiin, Ajim, & Yu, Dantong (2020). Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, 27, 100353.

Uddiin, Ajim, & Yu, Dantong (2020). Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, 27,

Arkin, A P, & Cottingham, R W, & Henry, C S, & Harris, N L, & Stevens, R L, & Maslov, S, & Dehal, P, & Ware, D, & Perez, F, & Canon, S, & Sneddon, M W, & Henderson, M L, & Riehl, W J, & Murphy-Olson, D, & Chan, S Y, & Kamimura, R T, & Kumari, S, & Drake, M M, & Brettin, T S, & Glass, E M, & Chivian, D, & Gunter, D, & Weston, D J, & Allen, B H, & Baumohl, J, & Best, A A, & Bowen, B, & Brenner, S E, & Bun, C C, & Chandonia, J M, & Chia, J M, & Colasanti, R, & Conrad, N, & Davis, J J, & Davison, B H, & DeJongh, M, & Devoid, S, & Dietrich, E, & Dubchak, I, & Edirisinghe, J N, & Fang, G, & Faria, J P, & Frybarger, P M, & Gerlach, W, & Gerstein, M, & Greiner, A, & Gurtowski, J, & Haun, H L, & He, F, & Jain, R, & Joachimiak, M P, & Keegan, K P, & Kondo, S, & Kumar, V, & Land, M L, & Meyer, F, & Mills, M, & Novichkov, P S, & Oh, T, & Olsen, G J, & Olson, R, & Parrello, B, & Pasternak, S, & Pearson, E, & Poon, S S, & Price, G A, & Ramakrishnan, S, & Ranjan, P, & Ronald, P C, & Schatz, M C, & Seaver SMD, , & Shukla, M, & Sutormin, R A, & Syed, M H, & Thomason, J, & Tintle, N L, & Wang, D, & Xia, F, & Yoo, H, & Yoo, S, & Yu, Dantong (2018). KBase: The United States Department of Energy Systems Biology Knowledgebase.. Nature biotechnology, 36(7), 566-569.

Li, Tan, & Ren, Yufei, & Yu, Dantong, & Jin, Shudong (2017). RAMSYS: Resource-Aware Asynchronous Data Transfer with Multicore SYStems. IEEE Transactions on Parallel and Distributed Systems, 28(5), 1430-1444.

Peng, Zhenzhou, & Yu, Dantong, & Huang, Dong, & Heiser, John, & Yoo, Shinjae, & Kalb, Paul (2015). 3D cloud detection and tracking system for solar forecast using multiple sky imagers. Solar Energy, 118, 496-519.

End-to-End Pipeline for Trigger Detection on Hit and Track Graphs
AAAI Press, September 2023

Core Matrix Regression and Prediction with Regularization
ACM, 2022

Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion
ACM, 2022

Temporal Bipartite Graph Neural Networks for Bond Prediction
ACM, 2022

Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022

Temporal Bipartite Graph Neural Networks for Bond Prediction
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022

Core Matrix Regression and Prediction with Regularization
November 2022

Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion
November 2022

Temporal Bipartite Graph Neural Networks for Bond Prediction
November 2022

Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer
Springer, September 2022

Attention Based Dynamic Graph Learning Framework for Asset Pricing
ACM, 2021

Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks
PMLR, 2021

Attention Based Dynamic Graph Learning Framework for Asset Pricing
30th ACM International Conference on Information & Knowledge Management, CIKM-2021, October (4th Quarter/Autumn) 2021

Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast
IEEE, 2020

Design and performance evaluation of NUMA-aware RDMA-based end-to-end data transfer systems
ACM, November 2013