CCF信息系统优博
ACM-武汉优博
华为天才少年计划

教育及工作背景

2019-2024 华中科技大学，计算机软件与理论，工学博士，导师李瑞轩。
2015-2019 华中科技大学，机械设计制造及其自动化，工学学士，导师黄禹。

研究方向

我目前是新加坡国立大学的一名博士后。

我最近的研究集中关注于大语言模型的各种问题，主要关注于模型可靠性。我正在寻找一些合作伙伴，欢迎有兴趣的同学联系。

学术论文

• 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. (CCF A)

• Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization.
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
  In TACL 2025 (SCI Q1).

• 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 (CCF A).

• 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 (CCF A).

• 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 (CCF A).

• D-Separation for Causal Self-Explanation. paper code
  Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
  Conference: NeurIPS 2023 (CCF A).

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

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

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

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