I received the B.S. degree from the Nanjing University of Posts and Telecommunications, in 2019, and the M.S. degree from Peking University, in 2022. I am currently a researcher with the AI Research Institute, HuaWei Noah Ark Lab, China. My main research interests include Machine Learning, Deep Learning and Recommender Systems. Also, I do some research about Nature Language Processing, such as text classification, and text generation. Now,I focus on using LLM to solve recommendation problems.
🔥 News
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📝 Publications
Xiangyang Li, Bo Chen, HuiFeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang, CIKM 2022
Xiangyang Li, Xiang Long, Yu Xia, Sujian Li, NAACL 2022(ORAL)
- Knowledge Enhanced Transformers System for Claim Stance Classification Xiangyang Li, Zheng Li, Sujian Li, Zhimin Li, Shimin Yang, NLPCC 2021(ORAL)
🎖 Honors and Awards
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📖 Educations
- 2019.09 - 2022.06, Peking University
- 2015.09 - 2019.06, Nanjing University of Posts and Telecommunications
💬 Invited Talks
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💻 Internships
- 2022.01 - 2022.04, HuaWei , Beijing.
- 2021.06 - 2020.09, MeiTuan , Beijing. I was responsible for the construction and training of the coarse rank model of MeiTuan food channel, during the internship process, 20 features were screened out, and the xgboost model was used to construct the coarse rank model based on CVR.Finally, we got auc score of 0.89 on the line, and opm + 1.7% on the channel, the model had been fully applied, and effectively alleviated the stress of the system.
- 2021.01 - 2020.04, JingDong , Beijing. During the internship process, I used the CEM optimization algorithm to regulate the distribution of flow in Jindong main search according to the feedback on the line, ensuring the promotion of merchants’ flow while simultaneously and guaranteeing a smooth growth of overall gmv.