Dantong Yu
Professor of Business Data Science, MT School of Management
2004 Central Avenue Building (CAB)
About Me
Dantong Yu received a BS degree in computer science from Peking University and a Ph.D. degree in Computer Science from University at Buffalo. He joined the Martin Tuchman School of Management at the New Jersey Institute of Technology in 2016. He also holds a guest appointment in the Department of Computer Science and Mathematics at BNL. He founded and led the Computer Science Group in BNL between 2009 and 2016. His research interests include data mining, machine learning, data network, and storage. He has published 70 papers in leading technical journals and conferences. He has served on the review panels for NSF, DOE Early Career Investigator, and DOE SBIR/STTR. He is a PC member of ICDE, KDD, and CIKM. He also serves in the organization committee of KDD 2022.
Education
Ph.D.
; SUNY College at Buffalo
; Computer Science
; 2001
M.S. ; SUNY College at Buffalo ; Computer Science ; 1998
B.S. ; Beijing University ; Computer Science ; 1995
M.S. ; SUNY College at Buffalo ; Computer Science ; 1998
B.S. ; Beijing University ; Computer Science ; 1995
Experience
Brookhaven National Laboratory
Guest Scientist,
August 2016 -
Stony Brook Uiversity
Visiting Scholar,
July 2010 -
Office Hours
2:00pm-4:00pm
2025 Fall Courses
BDS 726 - INDEPENDENT STUDY II
BDS 790A - DOCTORAL DISSERTATION & RES
FIN 410 - DATA MINING & MACHINE LEARNING
BDS 792B - PRE-DOCTORAL RESEARCH
BDS 725 - INDEPENDENT STUDY I
MGMT 635 - DATA MINING&ANAL FOR MNGRS
BDS 790A - DOCTORAL DISSERTATION & RES
FIN 410 - DATA MINING & MACHINE LEARNING
BDS 792B - PRE-DOCTORAL RESEARCH
BDS 725 - INDEPENDENT STUDY I
MGMT 635 - DATA MINING&ANAL FOR MNGRS
Teaching Interests
Machine Learning, Data Mining, and FinTech
Past Courses
BDS 791: DOCTORAL SEMINAR
FIN 410: DATA MINING & MACHINE LEARNING
MGMT 635: DATA MINING AND ANALYSIS
MGMT 635: DATA MINING&ANAL FOR MNGRS
MGMT 735: DEEP LEARNING IN BUSINESS
MIS 245: INTRO TO MNGMNT INFO SYST
MIS 791: DOCTORAL SEMINAR
FIN 410: DATA MINING & MACHINE LEARNING
MGMT 635: DATA MINING AND ANALYSIS
MGMT 635: DATA MINING&ANAL FOR MNGRS
MGMT 735: DEEP LEARNING IN BUSINESS
MIS 245: INTRO TO MNGMNT INFO SYST
MIS 791: DOCTORAL SEMINAR
Research Interests
Machine Learning, Data Mining, Graph Analysis, and FinTech
Journal Article
Ajim Uddiin, Xinyuan Tao, Dantong Yu.
2024. "The network factor of equity pricing: a signed graph laplacian approach."
Journal of Financial Econometrics .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2024. "The network factor of equity pricing: a signed graph laplacian approach." Journal of Financial Econometrics .
Uras Varolgunes, Shibo Yao, Yao Ma, Dantong Yu. 2023. "Embedding imputation with self-supervised graph neural networks." IEEE Access .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. "Attention based dynamic graph neural network for asset pricing." Global Finance Journal , vol. 58 .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. "Attention based dynamic graph neural network for asset pricing." Global Finance Journal , vol. 58 .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2024. "The network factor of equity pricing: a signed graph laplacian approach." Journal of Financial Econometrics .
Uras Varolgunes, Shibo Yao, Yao Ma, Dantong Yu. 2023. "Embedding imputation with self-supervised graph neural networks." IEEE Access .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. "Attention based dynamic graph neural network for asset pricing." Global Finance Journal , vol. 58 .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. "Attention based dynamic graph neural network for asset pricing." Global Finance Journal , vol. 58 .
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Conference Proceeding
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
ACM, November, 2023.
"NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation"
ACM, November, 2023.
"The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance"
ACM, November, 2023.
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
ACM, November, 2023.
"NMTucker: Non-linear Matryoshka Tucker Decomposition for Financial Time Series Imputation"
ACM, November, 2023.
"The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance"
ACM, November, 2023.
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