Yuanhao Lai

According to our database, Yuanhao Lai authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

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, March, 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, February, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.

Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

IEEE Trans. Knowl. Data Eng., November, 2024

Revisiting Log Parsing: The Present, the Future, and the Uncertainties.

Zhijing Li, Qiuai Fu, Zhijun Huang, Jianbo Yu, Yiqian Li, Yuanhao Lai, Yuchi Ma

IEEE Trans. Reliab., September, 2024

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

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou

CoRR, 2023

2020

Ensemble quantile classifier.

Yuanhao Lai, Ian McLeod

Comput. Stat. Data Anal., 2020