About me
- Education: I’m a Ph.D. student at Huazhong University of Science and Technology (HUST), China.
- Advisor: Prof. Ruixuan Li
Research Interests: Interpretability of machine learning, Causal Inference, Information theory, Natural Language Processing.
- My recent research has been concentrating on various issues related to large language models and causal theory. I am looking for collaboration partners, and interested individuals are welcome to contact me.
News
- I graduate from HUST at June, 2024.
Publications
Notes: “$\Delta$” means primarily recommended for reading.
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.
Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li.
Conference: AAAI 2024.Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. paper code
Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, YuanKai Zhang, Cheng Wang, Ruixuan Li
Conference: ICDE 2024.D-Separation for Causal Self-Explanation.$^\Delta$ (NeurIPS 2023) paper code
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang QiuDecoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.$^\Delta$ (KDD 2023) paper code
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong ZouMGR: Multi-generator Based Rationalization. (ACL 2023, Oral, Top 4%) paper code
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang QiuMulti-view Multi-aspect Neural Networks for Next-Basket Recommendation. (SIGIR 2023)
Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui LiFR: Folded Rationalization with a Unified Encoder (NeurIPS 2022) paper code video
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
Service
Great reviewer of ACL ARR December.