Hangting Ye

According to our database, Hangting Ye authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.

Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Web-based Long-term Spine Treatment Outcome Forecasting.

Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.

Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian

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

2022

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.

Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

CoRR, 2021