Hangting Ye

According to our database, Hangting Ye authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

LLM Meeting Decision Trees on Tabular Data.

Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang

CoRR, May, 2025

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning.

Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang

CoRR, May, 2025

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

CoRR, February, 2025

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

Proceedings of the ACM on Web Conference 2025, 2025

DRL: Decomposed Representation Learning for Tabular Anomaly Detection.

Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.

Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.

Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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