MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. - Yang Li 106; Yu Shen 003; Jiawei Jiang 001; Jinyang Gao; Ce Zhang 001; Bin Cui 001 (AAAI, 2021)

OpenBox: A Generalized Black-box Optimization Service. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Yuanwei Chen; Huaijun Jiang; Mingchao Liu; Jiawei Jiang 001; Jinyang Gao; Wentao Wu 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2021)

ROD: Reception-aware Online Distillation for Sparse Graphs. - Wentao Zhang 001; Yuezihan Jiang; Yang Li 106; Zeang Sheng; Yu Shen 003; Xupeng Miao; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (KDD, 2021)

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. - Wentao Zhang 001; Yu Shen 003; Yang Li 106; Lei Chen 002; Zhi Yang 001; Bin Cui 001 (SIGMOD Conference, 2021)

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup. - Huaijun Jiang; Yu Shen 003; Yang Li 106 (CoRR, 2021)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Jiawei Jiang 001; Yaliang Li; Bolin Ding; Jingren Zhou 001; Zhi Yang 001; Wentao Wu 001; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - Wentao Zhang 001; Zhi Yang 001; Yexin Wang; Yu Shen 003; Yang Li 106; Liang Wang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. - Wentao Zhang 001; Zeang Sheng; Mingyu Yang; Yang Li 106; Yu Shen 003; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

Transfer Learning based Search Space Design for Hyperparameter Tuning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Tianyi Bai; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

DivBO: Diversity-aware CASH for Ensemble Learning. - Yu Shen 003; Yupeng Lu; Yang Li 106; Yaofeng Tu; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2022)

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (WWW, 2022)

AutoDC: an automatic machine learning framework for disease classification. - Yang Bai; Yang Li 106; Yu Shen 003; Mingyu Yang; Wentao Zhang 001; Bin Cui 001 (Bioinform., 2022)

DFG-NAS: Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

Efficient End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2022)

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Jixiang Li; Ji Liu 002; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2022)

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. - Yu Shen 003; Yang Li 106; Jian Zheng; Wentao Zhang 001; Peng Yao; Jixiang Li; Sen Yang 004; Ji Liu 002; Bin Cui 001 (AAAI, 2023)

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. - Yu Shen 003; Xinyuyang Ren; Yupeng Lu; Huaijun Jiang; Huanyong Xu; Di Peng; Yang Li 106; Wentao Zhang 001; Bin Cui 001 (KDD, 2023)

Transfer Learning for Bayesian Optimization: A Survey. - Tianyi Bai; Yang Li 106; Yu Shen 003; Xinyi Zhang 002; Wentao Zhang 001; Bin Cui 001 (CoRR, 2023)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2023)

Towards General and Efficient Online Tuning for Spark. - Yang Li 106; Huaijun Jiang; Yu Shen 003; Yide Fang; Xiaofeng Yang; Danqing Huang; Xinyi Zhang 002; Wentao Zhang 001; Ce Zhang 001; Peng Chen; Bin Cui 001 (Proc. VLDB Endow., 2023)

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (VLDB J., 2023)

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. - Wentao Zhang 001; Guochen Yan; Yu Shen 003; Ling Yang 006; Yangyu Tao; Bin Cui 001; Jian Tang 005 (SIGMOD Conference Companion, 2024)

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. - Jie Jiang 015; Haining Xie; Yu Shen 003; Zihan Zhang; Meng Lei; Yifeng Zheng; Yide Fang; Chunyou Li; Danqing Huang; Wentao Zhang 001; Yang Li 106; Xiaofeng Yang; et al. (CoRR, 2024)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Beicheng Xu; Sixian Du; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (J. Mach. Learn. Res., 2024)

A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. - Yu Shen 003; Beicheng Xu; Yupeng Lu; Donghui Chen; Huaijun Jiang; Zhipeng Xie; Senbo Fu; Nan Zhang 004; Yuxin Ren 001; Ning Jia; Xinwei Hu; Bin Cui 001 (ICDE, 2025)