Hangting Ye

24 papers A* 8Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrating Tabular Anomaly Detection via Optimal Transport.
CoRR
Hangting Ye, He Zhao, Wei Fan, Xiaozhuang Song, Dandan Guo, Yi Chang, Hongyuan Zha
2026 J jnl
Deep Tabular Representation Corrector.
CoRR
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Gun, Yi Chang
2026 J jnl
Deep Tabular Representation Corrector.
IEEE Trans. Pattern Anal. Mach. Intell.
Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Guo, Yi Chang
2026 J jnl
MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion.
Inf. Fusion
Wei Fan, Jingru Fei, Jindong Han, Jie Lian, Hangting Ye, Xiaozhuang Song, Xin Lv, Kun Yi, Min Li
2025 J jnl
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search.
CoRR
Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu
2025 A* conf
DRL: Decomposed Representation Learning for Tabular Anomaly Detection.
ICLR
Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang
2025 A* conf
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.
AAAI
Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu
2025 J jnl
LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data.
CoRR
Peng Wang, Dongsheng Wang, He Zhao, Hangting Ye, Dandan Guo, Yi Chang
2025 J jnl
LLM Meeting Decision Trees on Tabular Data.
CoRR
Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025 J jnl
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis.
CoRR
Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha
2025 A* conf
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning.
IJCAI
Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang
2025 J jnl
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning.
CoRR
Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang
2025 J jnl
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
CoRR
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025 A* conf
Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
WWW
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2024 A* conf
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
IJCAI
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 J jnl
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
CoRR
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 A* conf
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
ICLR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 J jnl
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration.
CoRR
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024 — conf
Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.
BIBM
Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu
2023 A* conf
UADB: Unsupervised Anomaly Detection Booster.
ICDE
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 J jnl
UADB: Unsupervised Anomaly Detection Booster.
CoRR
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 A* conf
Web-based Long-term Spine Treatment Outcome Forecasting.
KDD
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2022 — conf
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.
BIBM
Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo
2021 J jnl
IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR
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