Yang Li

According to our database, Yang Li authored at least 33 papers between 2020 and 2023.

Collaborative distances:

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

2023

An Efficient Transfer Learning Based Configuration Adviser for Database Tuning.

Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., November, 2023

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

VLDB J., March, 2023

Towards General and Efficient Online Tuning for Spark.

Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui

Proc. VLDB Endow., 2023

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.

Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui

Proc. ACM Manag. Data, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2023

Transfer Learning for Bayesian Optimization: A Survey.

Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui

CoRR, 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

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.

Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation.

Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui

Proc. VLDB Endow., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2022

Efficient End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

CoRR, 2022

AutoDC: an automatic machine learning framework for disease classification.

Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui

Bioinform., 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Dynamic and Safe Configuration Tuning for Cloud Databases.

Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 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

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Research on Citizenization of the New Generation of Migrant Workers from the Perspective of Employment Policy Based on Grounded theory and DEA model.

Yang Li, Gong Chen

Proceedings of the 3rd International Symposium on Big Data and Artificial Intelligence, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

2021

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.

Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup.

Huaijun Jiang, Yu Shen, Yang Li

CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.

Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.

Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.

Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Automatic CASH via Rising Bandits.

Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020