Here is Junzhuo Li .

I am a third-year master student at Tianjin University, guided by Prof. Deyi Xiong. My primary research interest is in Natural Language Processing and Artificial Intelligence.

If you are interested in any aspect of me, I would love to chat and collaborate, please email me at - jzli[at]tju[dot]edu[dot]cn

I expect to graduate from Tianjin U in January 2024 and I am looking for PhD to start in 2024 Spring/Fall. Contact me if you have any leads!

News

• [01/2024] I have graduated from Tianjin University.
• [10/2023] Our paper DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models and Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? were accepted to EMNLP2023.

Publications

• Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, and Deyi Xiong. DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (Volume 1: Long Papers), Singapore. Association for Computational Linguistics.

• Shaoyang Xu, Junzhuo Li, and Deyi Xiong. Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (Volume 2: Short Papers), Singapore. Association for Computational Linguistics.

• Chuang Liu, Junzhuo Li, and Deyi Xiong. 2023. Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 196–207, Toronto, Canada. Association for Computational Linguistics.

• Junzhuo Li and Deyi Xiong. 2022. KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 461–473, Dublin, Ireland. Association for Computational Linguistics.

Experience

• Recommended Algorithm Intern at Meituan (2023.6-2023.7)

• NLP Algorithm Intern at Bytedance (2022.1-2022.9)

Education

• M.Sc. in Computer Technology at Tianjin University (2021.9-2024.1)

• B.S. in Computer Science and Technology at Zhengzhou University (2017.9-2021.7)