About Me

I’m a final-year Ph.D. candidate at University of Southern California working with Prof. Muhao Chen. I’m also fortunate to have worked with Prof. Xiang Ren and Prof. Yangqiu Song. My research interest lies in natural language processing and machine learning. In particular, I’m interested in developing robust and generalizable information extraction systems. Before joining USC as a Ph.D. student, I graduated with a Bachelor’s degree from HKUST in 2018.

Education

Publications

  1. Wenxuan Zhou, Muhao Chen. An Improved Baseline for Sentence-level Relation Extraction. AACL-IJCNLP 2022 (short). [paper] [code]

  2. Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, and Muhao Chen. Answer Consolidation: Formulation and Benchmarking. NAACL 2022. [paper] [code] [slides]

  3. Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, and Bryan Hooi. Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL 2022. [paper] [code]

  4. Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, and Bryan Hooi. GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-Findings 2022. [paper]

  5. Wenxuan Zhou*, Fangyu Liu*, Ivan Vulić, Nigel Collier, and Muhao Chen. Prix-LM: Pretraining for Multilingual Knowledge Base Construction. ACL 2022. [paper] [code] [slides]

  6. Wenxuan Zhou, Fangyu Liu, and Muhao Chen. Contrastive Out-of-Distribution Detection for Pretrained Transformers. EMNLP 2021. [paper] [code] [slides]

  7. Wenxuan Zhou and Muhao Chen. Learning from Noisy Labels for Entity-Centric Information Extraction. EMNLP 2021. [paper] [code] [slides]

  8. Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang. Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. AAAI 2021. [paper] [code] [slides]

  9. Wenxuan Zhou, Bill Yuchen Lin, and Xiang Ren. IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI 2021. [paper] [code]

  10. Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, and Xiang Ren. NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction (Honorable Mention Paper). WWW 2020. [paper] [code] [slides]

  11. Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, and Xiang Ren. Learning from Explanations with Neural Execution Tree. ICLR 2020. [paper] [code]

  12. Ziqian Zheng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. NAACL-HLT 2019. [paper] [code]

Preprints

  1. Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen. Sharpness-Aware Minimization with Dynamic Reweighting. Arxiv. 2021. [paper]

  2. Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen. Summarization as Indirect Supervision for Relation Extraction. [paper] [code]

Work Experience

Academic Services

Teaching Experience