About me

I am currently a research fellow at National University of Singapore, co-advised by Prof. Yee Whye Teh and Prof. Wee Sun Lee.
Previously, I received my Ph.D. from Huazhong University of Science and Technology in 2024 (advisor: Prof. Ruixuan Li) and my B.S. from HUST in 2019.

Contact: weiliumg@gmail.com

Research

• My recent research has been concentrating on various issues related to large language models. I am always looking for partners, please feel free to contact me.

Preprint

• Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. paper
  Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee
  Preprint

Publications

• Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation.
  Zhiying Deng, Jianjun Li, Wei Liu, Juan Zhao
  In TORS 2025.

• Re-fed+: A better replay strategy for federated incremental learning.
  Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li
  In TPAMI 2025.

• Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. paper code
  Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
  Conference: ICML 2025.

• Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization. paper code
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
  In TACL 2025.

• Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. paper code
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
  Conference: ICLR 2025.

• Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. paper code
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
  Conference: NeurIPS 2024.

• 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. (NeurIPS 2023) paper code
  Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu

• Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. (KDD 2023) paper code
  Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou

• MGR: Multi-generator Based Rationalization. (ACL 2023, Oral, Top 4%) paper code
  Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu

• Multi-view Multi-aspect Neural Networks for Next-Basket Recommendation. (SIGIR 2023)
  Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li

• FR: Folded Rationalization with a Unified Encoder (NeurIPS 2022) paper code video
  Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang

Service

Program co-chair of AAAI AIR-FM workshop, 2026.
Great reviewer of ACL ARR December.