Yijun Li

According to our database, Yijun Li authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning user preferences in livestreaming market: A graphical model considering temporal effect.

Qingyuan Lin, Yijun Li, Milosz Kadzinski, Mengzhuo Guo

Decis. Support Syst., 2026

2025

Probabilistic Learning of Multivariate Time Series With Temporal Irregularity.

Yijun Li, Cheuk Hang Leung, Qi Wu

IEEE Trans. Knowl. Data Eng., May, 2025

Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness.

Chaoqun Wang, Yijun Li, Siyi Wang, Qi Wu

Knowl. Based Syst., 2025

Data-driven preference learning methods for sorting problems with multiple temporal criteria.

Yijun Li, Mengzhuo Guo, Milosz Kadzinski, Qingpeng Zhang, Chenxi Xu

Eur. J. Oper. Res., 2025

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data.

Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Unveiling the Potential of Robustness in Evaluating Causal Inference Models.

Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

CoRR, 2024

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

Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The Causal Impact of Credit Lines on Spending Distributions.

Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data-driven Preference Learning Methods for Multiple Criteria Sorting with Temporal Criteria.

Yijun Li, Mengzhuo Guo, Qingpeng Zhang

CoRR, 2023

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

Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection.

Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023