About Me

I’m a Research Scientist at Zoom GenAI. I received my Ph.D. at the University of Southern California where I was supervised by Prof. Muhao Chen. My research interest lies in natural language processing and machine learning. In particular, I’m interested in (1) developing robust and generalizable knowledge acquisition models, (2) developing techniques to add or remove knowledge from LLMs, and (3) enhancing the trustworthy of LLMs.

Email: A [at] B, where A=wenxuan.zhou.usc and B is gmail.com




  1. Wenxuan Zhou*, Sheng Zhang*, Yu Gu, Muhao Chen, Hoifung Poon. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR 2024. [paper] [project page]

  2. Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen. Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. NAACL-Findings 2024. [paper]

  3. Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen. On-the-fly Denoising for Data Augmentation in Natural Language Understanding. EACL-Findings 2024. [paper]

  4. Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen. Contrastive Instruction Tuning. ACL-Findings 2024. [paper]


  1. Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen. Context-faithful Prompting for Large Language Models. EMNLP-Findings 2023. [paper] [code]

  2. Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen. A Causal View of Entity Bias in (Large) Language Models. EMNLP-Findings 2023. [paper]

  3. Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen. GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. EMNLP 2023.

  4. Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon. Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL 2023. [paper] [slides]

  5. Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen. Multi-hop Evidence Retrieval for Cross-document Relation Extraction. ACL-Findings 2023. [paper] [code]

  6. Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen. Robust Natural Language Understanding with Residual Attention Debiasing. ACL-Findings, 2023. [paper] [code]

  7. Xiaoocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen. Parameter-Efficient Tuning with Special Token Adaptation. EACL 2023. [paper] [code]


  1. Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen. Sharpness-Aware Minimization with Dynamic Reweighting. EMNLP-Findings 2022. [paper]

  2. Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen. Summarization as Indirect Supervision for Relation Extraction. EMNLP-Findings 2022. [paper] [code]

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

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

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

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

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


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

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

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

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


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

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


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


  1. James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen. Offset Unlearning for Large Language Models. Arxiv 2024. [paper]

Work Experience

Academic Services

Teaching Experience