| PTaRL: Prototype-based tabular representation learning via space calibration H Ye, W Fan, X Song, S Zheng, H Zhao, D Guo, Y Chang The Twelfth International Conference on Learning Representations, 2024 | 33 | 2024 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting W Fan, K Yi, H Ye, Z Ning, Q Zhang, N An Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 28 | 2024 |
| IMBENS: Ensemble class-imbalanced learning in Python Z Liu, J Kang, H Tong, Y Chang arXiv preprint arXiv:2111.12776, 2021 | 25 | 2021 |
| Uadb: Unsupervised anomaly detection booster H Ye, Z Liu, X Shen, W Cao, S Zheng, X Gui, H Zhang, Y Chang, J Bian 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2593-2606, 2023 | 17 | 2023 |
| Towards multi-resolution spatiotemporal graph learning for medical time series classification W Fan, J Fei, D Guo, K Yi, X Song, H Xiang, H Ye, M Li Proceedings of the ACM on Web Conference 2025, 5054-5064, 2025 | 12 | 2025 |
| A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring Y Xing, H Ye, X Zhang, W Cao, S Zheng, J Bian, Y Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 10 | 2022 |
| Web-based long-term spine treatment outcome forecasting H Ye, Z Liu, W Cao, AM Amiri, J Bian, Y Chang, JD Lurie, J Weinstein, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| DRL: Decomposed Representation Learning for Tabular Anomaly Detection H Ye, H Zhao, W Fan, M Zhou, D dan Guo, Y Chang The Thirteenth International Conference on Learning Representations, 2025 | 4 | 2025 |
| MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion W Fan, J Fei, J Han, J Lian, H Ye, X Song, X Lv, K Yi, M Li Information Fusion, 103659, 2025 | 1 | 2025 |
| LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data P Wang, D Wang, H Zhao, H Ye, D Guo, Y Chang arXiv preprint arXiv:2508.09263, 2025 | 1 | 2025 |
| Latte: Transfering LLMsLatent-level Knowledge for Few-shot Tabular Learning R Shi, H Gu, H Ye, Y Dai, X Shen, X Wang arXiv preprint arXiv:2505.05237, 2025 | 1 | 2025 |
| LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis H Ye, J Li, H Zhao, M Zhuge, D Guo, Y Chang, H Zha arXiv preprint arXiv:2510.03904, 2025 | | 2025 |
| AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search X Song, X Pan, X Zhao, H Ye, S Zhang, J Tang, T Yu arXiv preprint arXiv:2509.20988, 2025 | | 2025 |
| LLM Meeting Decision Trees on Tabular Data H Ye, J Li, H Zhao, D Guo, Y Chang arXiv preprint arXiv:2505.17918, 2025 | | 2025 |
| Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining X Song, Y Tu, H Ye, W Fan, Q Zhang, X Wang, T Yu Proceedings of the AAAI Conference on Artificial Intelligence 39 (1), 755-763, 2025 | | 2025 |
| Deep Tabular Representation Corrector H Ye, P Wang, W Fan, X Song, H Zhao, D Guo, Y Chang IEEE transactions on pattern analysis and machine intelligence, 2025 | | 2025 |
| Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization X Song, X Liao, H Ye, Y Xu, W Fan, J Liu, T Yu 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| A neural-ODE based continuous glucose monitoring measurements forecasting approach with knowledge distillation Y Xing, H Ye, W Cao, S Zheng, J Bian, Y Guo | | 2023 |
Yi ChangJilin UniversityVerified email at acm.org
