Ensemble quantile classifier. - Yuanhao Lai; Ian McLeod (Comput. Stat. Data Anal., 2020)

Hessian Aware Low-Rank Weight Perturbation for Continual Learning. - Jiaqi Li 005; Rui Wang 121; Yuanhao Lai; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (CoRR, 2023)

NICSDG: A Non-Intrusive Approach to Constructing Concise Service Dependency Graphs for Microservice Systems. - Weijie Hong; Yong Yang; Junqi Wu; Dongdong Shangguan; Yuanhao Lai; Qiang Bai; Ying Li (ISSRE (Workshops), 2024)

Revisiting Log Parsing: The Present, the Future, and the Uncertainties. - Zhijing Li 007; Qiuai Fu; Zhijun Huang; Jianbo Yu; Yiqian Li; Yuanhao Lai; Yuchi Ma (IEEE Trans. Reliab., 2024)

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. - Jiaqi Li 005; Yuanhao Lai; Rui Wang 121; Changjian Shui; Sabyasachi Sahoo; Charles X. Ling; Shichun Yang; Boyu Wang 004; Christian Gagné 001; Fan Zhou 006 (IEEE Trans. Knowl. Data Eng., 2024)

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization. - Yuanhao Lai; Pengfei Zheng; Chenpeng Ji; Cheng Qiu; Tingkai Wang; Songhan Zhang; Zhengang Wang; Yunfei Du (AAAI, 2025)

Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions. - Yuanhao Lai; Pengfei Zheng; Chenpeng Ji; Yan Li; Songhan Zhang; Rutao Zhang; Zhengang Wang; Yunfei Du (Proc. ACM Manag. Data, 2025)

Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling. - Yan Li; Pengfei Zheng; Shuang Chen; Zewei Xu; Yuanhao Lai; Yunfei Du; Zhengang Wang (CoRR, 2025)