Yupeng Lu

According to our database, Yupeng Lu authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning.

Beicheng Xu, Lingching Tung, Yuchen Wang, Yupeng Lu, Bin Cui

CoRR, March, 2026

CoFEH: LLM-driven Feature Engineering Empowered by Collaborative Bayesian Hyperparameter Optimization.

Beicheng Xu, Keyao Ding, Wei Liu, Yupeng Lu, Bin Cui

CoRR, February, 2026

LB-MCTS: Synergizing Large Language Models and Bayesian Optimization for Efficient CASH.

Beicheng Xu, Weitong Qian, Lingching Tung, Yupeng Lu, Bin Cui

CoRR, January, 2026

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning.

Beicheng Xu, Wei Liu, Keyao Ding, Yupeng Lu, Bin Cui

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GMP: A GNN-Enhanced Mamba-2 Neural Predictor for Efficient NAS.

Yupeng Lu, Hongyan Mao, Ningkang Jiang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads.

Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2023

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.

Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

DivBO: Diversity-aware CASH for Ensemble Learning.

Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022