Yang Li

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 27

Top Topics

Ensemble Learning

Transfer Learning

Neural Architecture

Parameter Optimization

Top Venues

Proc. VLDB Endow.

Publications

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. 32 (2) (2023)
Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. 16 (12) (2023)
Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Proc. VLDB Endow. 17 (3) (2023)
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI (2023)
Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. KDD (2023)
Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. Proc. ACM Manag. Data 1 (2) (2023)
Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
Towards General and Efficient Online Tuning for Spark. CoRR (2023)
Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Graph Attention Multi-Layer Perceptron. CoRR (2022)
Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui
AutoDC: an automatic machine learning framework for disease classification. Bioinform. 38 (13) (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD (2022)
Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR (2022)
Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui
DivBO: Diversity-aware CASH for Ensemble Learning. NeurIPS (2022)
Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15 (6) (2022)
Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD (2022)
Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. Proc. VLDB Endow. 15 (9) (2022)
Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR (2022)
Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. CoRR (2022)
Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW (2022)
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR (2022)
Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. SIGMOD Conference (2022)
Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
Deep and Flexible Graph Neural Architecture Search. ICML (2022)
Yang Li, Gong Chen
Research on Citizenization of the New Generation of Migrant Workers from the Perspective of Employment Policy Based on Grounded theory and DEA model. ISBDAI (2022)
Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Graph Attention Multi-Layer Perceptron. KDD (2022)
Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS (2021)