Dr Ding Qinxu

School of Business

Tel: +65 6240 8685

Email: cWlueHVkaW5nQHN1c3MuZWR1LnNn

2015 - 2020
Ph.D. in Engineering, Nanyang Technological University, Singapore
2011 - 2015
BSc. in Computational Mathematics, Nankai University, China

2021 - Present
Lecturer, School of Business, Singapore University of Social Sciences, Singapore
2020 - 2021
Research Fellow, Alibaba – NTU Joint Research Institute, Singapore
2019 - 2020
Visiting Scholar, Alibaba – NTU Joint Research Institute, Singapore

K. Zhao, Q. Kang, F. Ji, X. Li, Q. Ding, Y. Zhao, W. Liang and W. P. Tay, “Distributed-Order Fractional Graph Operating Network”, accepted as NeurIPS 2024. (Spotlight, Core A* Conference)
D. K. C. Lee, C. Guan, Y. Yu and Q. Ding*, “A Comprehensive Review of Generative AI in Finance”, FinTech, 2024, 3(3): 460-478.
Q. Kang, K. Zhao, Q. Ding, F. Ji, X. Li, W. Liang, Y. Song and W. P. Tay, “Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND”, The Twelfth International Conference on Learning Representations (ICLR) 7-11 May, 2024. (Spotlight, Core A* Conference)
Q. Ding, D. Ding, Y. Wang, C. Guan and B. Ding, “Unraveling the landscape of large language models: a systematic review and future perspectives”, Journal of Electronic Business & Digital Economics 3.1 (2024): 3-19.
Q. Ding and P. J. Y. Wong, “A Higher Order Numerical Scheme for Solving Fractional Bagley-Torvik Equation”, Mathematical Methods in the Applied Sciences 45.3 (2022): 1241-1258.
Q. Kang, Y. Song, Q. Ding and W. P. Tay, “Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks”, Advances in Neural Information Processing Systems (NeurIPS) 34 (2021): 14925-14937. (Core A* Conference)
Y. Wang, Q. Ding, K. Wang, Y. Liu, X. Wu, J. Wang, Y. Liu and C. Miao, “The Skyline of Counterfactual Explanations for Machine Learning Decision Models”, Proceedings of the 30th ACM International Conference on Information & Knowledge Management. 2021. (Core A Conference)
Q. Ding, Y. Liu, C. Miao, F. Cheng and H. Tang, “A Hybrid Bandit Framework for Diversified Recommendation”, Proceedings of the 35th AAAI Conference on Artificial Intelligence, A Virtual Conference (2021). (Core A* Conference)
Q. Ding, P. J. Y. Wong, “A New Approximation for the Generalized Fractional Derivative and its Application to Generalized Fractional Diffusion Equation”, Numerical Methods for Partial Differential Equations 37.1 (2021): 643-673.
Q. Ding, P. J. Y. Wong, “Quintic Non-polynomial Spline for Time-fractional Nonlinear Schrodinger Equation”, Advances in Difference Equations 2020.1 (2020): 577.
Q. Ding, P. J. Y. Wong, “A Higher Order Numerical Scheme for Generalized Fractional Diffusion Equations”, International Journal for Numerical Methods in Fluids 92.12 (2020): 1866-1889.
Q. Ding, P. J. Y. Wong, “Mid-knot Cubic Non-polynomial Spline for a System of Second-order Boundary Value Problems”, Boundary Value Problems 2018 (2018): 1-16.

Explainable Machine Learning & Recommender System
Numerical Partial Differential Equation
Blockchain

Dr Ding Qinxu

Lecturer, Finance Programme

Educational Qualifications

Academic and Professional Experience