Dr Ding Qinxu

Selected Publications

Conference Papers:

• Z. Bi, Q. Ding, J. Chen and X. Wu, “M3net: Multivariate Time Series Classification via Multiscale Patching and Channel Mixing”, IEEE International Conference on Acoustics, Speech, and Signal Processing. 4–8 May 2026. (Accepted; Core A Conference; CCF B)
• Y. Tao, X. Zeng, Q. Ding, Y. Dong, D. Peng, P. Di, P. Liu and W. Ke, “Timediff: Leveraging Differential Domain Representations for Long Time Series Forecasting”, IEEE International Conference on Acoustics, Speech, and Signal Processing. 4–8 May 2026. (Accepted; Core A Conference; CCF B)
• Q. Ding, C. Guan and Y. Yu, “Mood in the Market: Forecasting IPO Activity with Music Sentiment”, The 9th International Conference on Computer Science and Artificial Intelligence. 12-15 December 2025.
• K. Zhao, Q. Kang, F. Ji, X. Li, Q. Ding, Y. Zhao, W. Liang and W. P. Tay, “Distributed-Order Fractional Graph Operating Network”, Advances in Neural Information Processing Systems. 2024 Dec 16; 37:103442-75. (Spotlight rate: 2.08%; Core A* Conference; CCF A)
• 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 rate: 5.02%; Core A* Conference; CCF A)
• C. Guan, Q. Ding* and Y. Yu, “Unveiling the Rhythms of NFT Market Dynamics through Music Analytics”, The 7th Cryptocurrency Research Conference. 23-24 September 2024.
• X. Li, Q. Ding and P. J. Y. Wong, “High Order Approximation of Generalized Caputo Fractional Derivative and its Application”, 17th International Conference on Control, Automation, Robotics and Vision. 2022.
• 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. (Accept rate: 25.59%; Core A* Conference; CCF A)
• 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. (Accept rate: 21.7%; Core A Conference; CCF B)
• 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). (Accept rate: 21.39%; Core A* Conference; CCF A)
• Q. Ding and P. J. Y. Wong, “An Efficient Numerical Approach for a New Generalized Fractional Diffusion Equation”, International Conference of Numerical Analysis and Applied Mathematics. Vol. 2116. No. 1. 2019.
• Q. Ding and P. J. Y. Wong, “Numerical Treatment of a System of Second-Order Boundary Value Problems via Mid-Knot Cubic Non-Polynomial Spline”, International Conference of Numerical Analysis and Applied Mathematics. Vol. 2116. No. 1. 2019.
• Q. Ding and P. J. Y. Wong, “Numerical Method for Fractional Bagley-Torvik Equation”, International Conference of Numerical Analysis and Applied Mathematics. Vol. 2116. No. 1. 2019.
• Q. Ding and P. J. Y. Wong, “Non-polynomial Spline Method for Time-fractional Nonlinear Schrödinger Equation”, 15th International Conference on Control, Automation, Robotics and Vision. 2018.

  Journal Papers:

• Q. Ding*, C. Guan and Y. Yu, “Mood in the Market: Forecasting IPO Activity with Music Sentiment and LSTM”, FinTech, 2026. (Accepted) (Scopus Q1; Cite Score=6.2; SCImago Q2)
• Z. Wang, Q. Ding, D. Ding, S. Zhu, J. Ren, Y. Wang and C. H. Tan, “Reinforcement Learning-Guided NSGA-II Enhanced with Gray Relational Coefficient for Multi-Objective Optimization: Application to NASDAQ Portfolio Optimization”, Mathematics 2026, 14(2), 296. (Scopus Q1; Cite Score=4.6; SCImago Q2)
• 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. (Scopus Q1; Cite Score=6.2; SCImago Q2)
• 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, D. Liebau, Z. Wang and W. Xu, “A survey on decentralized autonomous organizations (DAOs) and their governance”, World Scientific Annual Review of Fintech, 2023, 1: 2350001.
• Q. Ding, Z. Wang and W. Xu and D. K. C. Lee “Voting schemes in DAO governance”, World Scientific Annual Review of Fintech, 2023, 1: 2350004.
• 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. (SCIMago Q1, Scopus Cite Score=4.9)
• 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. (SCIMago Q1, Scopus Cite Score=8.8)
• Q. Ding, P. J. Y. Wong, “Quintic Non-polynomial Spline for Time-fractional Nonlinear Schrodinger Equation”, Advances in Difference Equations 2020.1 (2020): 577. (SCIMago Q2, Scopus Cite Score=5.8) •
• 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. (SCIMago Q1; Scopus Cite Score=4.1)
• 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. (SCIMago Q2; Scopus Cite Score=2.0)

Book Chapters:

• Guan Chong, Ding Qinxu, and Yu Yinghui. “From Melodies to Markets: Leveraging LSTM for Music-Driven Predictions in NFT Trading Dynamics”. Encyclopedia of Modern Artificial Intelligence, 2026. (Accepted)
• Ding, Qinxu, Weibiao Xu, and Zhiguo Wang. "DAO and DAO governance." Handbook of Blockchain, Digital Finance, and Inclusion, Volume 3. Academic Press, 2025. 61-66.