| 2026 | AAAI | Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling. | Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing |
| 2026 | ACL | Structured Confidence-Guided Online Adaptation for LLM-based Multi-Label Classification. | Pengyu Xu, Jingren Hou, Liping Jing, Jian Yu |
| 2024 | EMNLP | Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework. | Pengyu Xu, Liping Jing, Jian Yu |
| 2024 | ICASSP | Taming Prompt-Based Data Augmentation for Long-Tailed Extreme Multi-Label Text Classification. | Pengyu Xu, Mingyang Song, Ziyi Li, Sijin Lu, Liping Jing, Jian Yu |
| 2024 | NAACL | Noisy Multi-Label Text Classification via Instance-Label Pair Correction. | Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu |
| 2023 | AAAI | Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. | Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu |
| 2023 | EMNLP | Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. | Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing |
| 2023 | IJCNN | Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting. | Xiaoyu Wang, Pengyu Xu, Mingyang Song, Liping Jing |