Chunnan Wang

Orcid: 0000-0002-8971-7096

According to our database¹, Chunnan Wang authored at least 24 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

Search for deep graph neural networks.

[BibT_eX]

[DOI]

Guosheng Feng

Hongzhi Wang

Chunnan Wang

Inf. Sci., November, 2023

Automated Graph Neural Network Search Under Federated Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, June, 2023

TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Evaluating community quality based on ground-truth.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning.

[BibT_eX]

[DOI]

CoRR, 2022

AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy.

[BibT_eX]

[DOI]

Chunnan Wang

Hongzhi Wang

Xiangyu Shi

CoRR, 2022

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model.

[BibT_eX]

[DOI]

CoRR, 2022

CO-AutoML: An Optimizable Automated Machine Learning System.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Attributed community search based on effective scoring function and elastic greedy method.

[BibT_eX]

[DOI]

Inf. Sci., 2021

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search.

[BibT_eX]

[DOI]

CoRR, 2021

2020

TAILOR: time-aware facility location recommendation based on massive trajectories.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results.

[BibT_eX]

[DOI]

CoRR, 2020

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters.

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[DOI]

CoRR, 2020

Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

ExperienceThinking: Hyperparameter Optimization with Budget Constraints.

[BibT_eX]

[DOI]

CoRR, 2019

ECOQUG: An Effective Ensemble Community Scoring Function.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

A Sensitive and Stable Surface Plasmon Resonance Sensor Based on Monolayer Protected Silver Film.

[BibT_eX]

[DOI]

Sensors, 2017

Chunnan Wang

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