| 2026 | AAAI | Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2026 | NDSS | A Causal Perspective for Enhancing Jailbreak Attack and Defense. | Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren |
| 2025 | AAAI | TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2024 | AAAI | TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. | Jiexi Liu, Songcan Chen |
| 2022 | EMNLP | Multiple Instance Learning for Offensive Language Detection. | Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue |
| 2021 | ACL | Robustness Testing of Language Understanding in Task-Oriented Dialog. | Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, Minlie Huang |
| 2019 | AAAI | A Hierarchical Framework for Relation Extraction with Reinforcement Learning. | Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang |
| 2019 | PRICAI | Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. | Jiexi Liu, Songcan Chen |