Publications
2026
Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASH
Conference on Neural Information Processing Systems (NeurIPS), 2026. Poster.
CoFEH: LLM-driven Feature Engineering Empowered by Collaborative Bayesian Hyperparameter Optimization
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Oral.
* Equal contribution.
MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning
International Conference on Very Large Data Bases (VLDB), 2026.
* Equal contribution.
PSEO: Optimizing Post-Hoc Stacking Ensemble Through Hyperparameter Tuning
AAAI Conference on Artificial Intelligence (AAAI), 2026. Oral.
HyperRPS: An Efficient Multi-Fidelity Hyper-Parameter Tuning Framework for Rock Particle Segmentation
Tsinghua Science and Technology (TST), 2026.
* Equal contribution.
AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
arXiv preprint, 2026.
* Equal contribution.
2025
A-Tune-Online: Efficient and QoS-aware Online Configuration Tuning for Dynamic Workloads
IEEE International Conference on Data Engineering (ICDE), 2025.
* Equal contribution.
2023
Multi-aspect Diffusion Network Inference
The ACM Web Conference (WWW), 2023.
2022
Reconstructing Diffusion Networks from Incomplete Data
International Joint Conference on Artificial Intelligence (IJCAI), 2022.
