Tianyu Mu

According to our database, Tianyu Mu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning.

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection.

Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong, Tianyu Mu, Yan Zhang

Inf. Sci., April, 2023

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

Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang

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

Auto-TSA: An Automatic Time Series Analysis System Based on Meta-learning.

Tianyu Mu, Zhenli Sheng, Lekui Zhou, Hongzhi Wang

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2022

Evaluating community quality based on ground-truth.

Chunnan Wang, Hongzhi Wang, Tianyu Mu, Zhixin Qi

Inf. Sci., 2022

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

Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao

Inf. Sci., 2022

2021

Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN.

Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Shaoqing Zhang, Cheng Liang, Haoyun Tang

Proc. VLDB Endow., 2021

Industrial time series determinative anomaly detection based on constraint hypergraph.

Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu

Knowl. Based Syst., 2021

2020

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

Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang

CoRR, 2020

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

Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao

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

An Image Fusion Method Based on Weighted Nonnegative Matrix Factorization and Infrared Fidelity.

Jie Liu, Rencan Nie, Yanglin Deng, Huaguang Li, Tianyu Mu

Proceedings of the ICAIP 2020: 4th International Conference on Advances in Image Processing, 2020