Yang Li

Orcid: 0000-0001-5249-1807

Affiliations:
  • Tencent Inc., Tencent Data Platform, Technology and Engineering Group, Beijing, China
  • Peking University, School of EECS, MOE Key Laboratory of High Confidence Software Technologies, Beijing, China (PhD 2022)


According to our database1, Yang Li authored at least 42 papers between 2011 and 2024.

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Bibliography

2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization.
J. Mach. Learn. Res., 2024

NC-ALG: Graph-Based Active Learning Under Noisy Crowd.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning.
Proc. VLDB Endow., November, 2023

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.
VLDB J., March, 2023

Towards General and Efficient Online Tuning for Spark.
Proc. VLDB Endow., 2023

A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.
Proc. ACM Manag. Data, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.
CoRR, 2023

Transfer Learning for Bayesian Optimization: A Survey.
CoRR, 2023

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation.
Proc. VLDB Endow., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.
Proc. VLDB Endow., 2022

Efficient End-to-End AutoML via Scalable Search Space Decomposition.
CoRR, 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.
CoRR, 2022

AutoDC: an automatic machine learning framework for disease classification.
Bioinform., 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.
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.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DivBO: Diversity-aware CASH for Ensemble Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Attention Multi-Layer Perceptron.
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.
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.
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.
Proceedings of the 3rd International Symposium on Big Data and Artificial Intelligence, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022

2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.
Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.
Proc. VLDB Endow., 2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR, 2021

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup.
CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.
CoRR, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.
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.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Automatic CASH via Rising Bandits.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2016
Exact and approximate flexible aggregate similarity search.
VLDB J., 2016

2011
Flexible aggregate similarity search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011


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