Hangting Ye

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Feature Hierarchies

Learning Problems

Unsupervised Anomaly Detection

Top Venues

Publications

Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR (2024)
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR (2024)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. ICDE (2023)
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
Web-based Long-term Spine Treatment Outcome Forecasting. KDD (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. CoRR (2023)
Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. BIBM (2022)
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
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR (2021)