A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection. - Xiangqian Sun; Cheuk Hang Leung; Yijun Li 005; Qi Wu 009 (AISTATS, 2023)

DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series. - Chaoqun Wang 007; Yijun Li 005; Xiangqian Sun; Qi Wu 009; Dongdong Wang; Zhixiang Huang (IJCAI, 2023)

The Causal Impact of Credit Lines on Spending Distributions. - Yijun Li 005; Cheuk Hang Leung; Xiangqian Sun; Chaoqun Wang 007; Yiyan Huang; Xing Yan; Qi Wu 009; Dongdong Wang; Zhixiang Huang (AAAI, 2024)

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators. - Yiyan Huang; Cheuk Hang Leung; Siyi Wang; Yijun Li 005; Qi Wu 009 (NeurIPS, 2024)

Unveiling the Potential of Robustness in Evaluating Causal Inference Models. - Yiyan Huang; Cheuk Hang Leung; Siyi Wang; Yijun Li 005; Qi Wu 009 (CoRR, 2024)

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data. - Cheuk Hang Leung; Yiyan Huang; Yijun Li 005; Qi Wu 009 (AAAI, 2025)

Data-driven preference learning methods for sorting problems with multiple temporal criteria. - Yijun Li 005; Mengzhuo Guo; Milosz Kadzinski; Qingpeng Zhang; Chenxi Xu (Eur. J. Oper. Res., 2025)

Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness. - Chaoqun Wang 007; Yijun Li 005; Siyi Wang; Qi Wu 009 (Knowl. Based Syst., 2025)

Probabilistic Learning of Multivariate Time Series With Temporal Irregularity. - Yijun Li 005; Cheuk Hang Leung; Qi Wu 009 (IEEE Trans. Knowl. Data Eng., 2025)