Deep Learning for Choice Modeling. - Zhongze Cai; Hanzhao Wang; Kalyan T. Talluri; Xiaocheng Li (CoRR, 2022)

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. - Shang Liu; Zhongze Cai; Xiaocheng Li (NeurIPS, 2023)

A Neural Network Based Choice Model for Assortment Optimization. - Hanzhao Wang; Zhongze Cai; Xiaocheng Li; Kalyan T. Talluri (CoRR, 2023)

Continuous Adaptive Finite-Time Sliding Mode Control for Fractional-Order Buck Converter Based on Riemann-Liouville Definition. - Zhongze Cai; Qingshuang Zeng (Entropy, 2023)

Towards Better Statistical Understanding of Watermarking LLMs. - Zhongze Cai; Shang Liu; Hanzhao Wang; Huaiyang Zhong; Xiaocheng Li (CoRR, 2024)

Predefined-time sliding mode control based on exact time disturbance observer for second-order systems with matched and mismatched disturbances. - Zhongze Cai; Guhao Sun; Qingshuang Zeng (Trans. Inst. Meas. Control, 2024)

Out-of-distribution Robust Optimization. - Zhongze Cai; Hansheng Jiang; Xiaocheng Li (UAI, 2025)

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. - Shang Liu; Zhongze Cai; Guanting Chen 001; Xiaocheng Li (Trans. Mach. Learn. Res., 2025)

Incentivizing High-Quality Human Annotations with Golden Questions. - Shang Liu; Zhongze Cai; Hanzhao Wang; Zhongyao Ma; Xiaocheng Li (CoRR, 2025)