Dr. LI Yijun (李奕君)

Research Output

  1. 2024
  2. Accepted/In press/Filed

    Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators

    HUANG, Y., LEUNG, C. H., WANG, S., LI, Y. & WU, Q., 7 Oct 2024, (Accepted/In press/Filed) NeurIPS 2024: Proceedings of the 38 Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), 40 p.

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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  3. Published

    The Causal Impact of Credit Lines on Spending Distributions

    Li, Y., Leung, C. H., Sun, X., Wang, C., Huang, Y., Yan, X., Wu, Q., & 2 othersWang, D. & Huang, Z., 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. Dy, J., Natarajan, S. & Wooldridge, M. (eds.). Washington, DC: AAAI Press, p. 180-187 (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 1).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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  4. 2023
  5. Published

    DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series

    WANG, C., LI, Y., SUN, X., WU, Q., Wang, D. & Huang, Z., Aug 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023). International Joint Conferences on Artificial Intelligence, p. 4299-4307 (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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  6. Published

    A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection

    Sun, X., Leung, C. H., LI, Y. & Wu, Q., Apr 2023, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J. (eds.). PMLR, Vol. 206. p. 4629-4642 (Proceedings of Machine Learning Research).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 1
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  7. Published

    Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks

    Li, D., Li, Y., Wang, C., Chen, M. & Wu, Q., 1 Feb 2023, In: Applied Energy. 331, 20 p., 120452.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 36
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