IMBENS: Ensemble Class-imbalanced Learning in Python. - Zhining Liu 002; Zhepei Wei; Erxin Yu; Qiang Huang; Kai Guo 003; Boyang Yu; Zhaonian Cai; Hangting Ye; Wei Cao 007; Jiang Bian 002; Pengfei Wei 001; Jing Jiang 002; et al. (CoRR, 2021)

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. - Yuting Xing; Hangting Ye; Xiaoyu Zhang 008; Wei Cao 007; Shun Zheng 001; Jiang Bian 002; Yike Guo (BIBM, 2022)

UADB: Unsupervised Anomaly Detection Booster. - Hangting Ye; Zhining Liu 002; Xinyi Shen; Wei Cao 007; Shun Zheng 001; Xiaofan Gui; Huishuai Zhang; Yi Chang 001; Jiang Bian 002 (ICDE, 2023)

Web-based Long-term Spine Treatment Outcome Forecasting. - Hangting Ye; Zhining Liu 002; Wei Cao 007; Amir M. Amiri; Jiang Bian 002; Yi Chang 001; Jon D. Lurie; Jim Weinstein; Tie-Yan Liu (KDD, 2023)

Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization. - Xiaozhuang Song; Xu Liao; Hangting Ye; Yaoyao Xu; Wei Fan 010; Jin Liu; Tianshu Yu 001 (BIBM, 2024)

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. - Hangting Ye; Wei Fan 010; Xiaozhuang Song; Shun Zheng 001; He Zhao 001; Dandan Guo; Yi Chang 001 (ICLR, 2024)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. - Wei Fan 010; Kun Yi 001; Hangting Ye; Zhiyuan Ning; Qi Zhang 020; Ning An 001 (IJCAI, 2024)

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining. - Xiaozhuang Song; Yuzhao Tu; Hangting Ye; Wei Fan 010; Qingquan Zhang; Xiaoxue Wang; Tianshu Yu 001 (AAAI, 2025)

DRL: Decomposed Representation Learning for Tabular Anomaly Detection. - Hangting Ye; He Zhao 001; Wei Fan 010; Mingyuan Zhou; Dandan Guo; Yi Chang 001 (ICLR, 2025)

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (WWW, 2025)

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (CoRR, 2025)

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. - Ruxue Shi; Hengrui Gu 002; Hangting Ye; Yiwei Dai; Xu Shen 002; Xin Wang 035 (CoRR, 2025)

LLM Meeting Decision Trees on Tabular Data. - Hangting Ye; Jinmeng Li; He Zhao 001; Dandan Guo; Yi Chang 001 (CoRR, 2025)

LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data. - Peng Wang; Dongsheng Wang 003; He Zhao 001; Hangting Ye; Dandan Guo; Yi Chang 001 (CoRR, 2025)