Publications: 'Improving Code Search with Hard Negative Sampling Based on Fine-tuning' (APSEC 2024), 'Survey of Code Search based on Deep Learning' (ACM Transactions on Software Engineering and Methodology), 'Bias and Debias in Recommender System: A Survey and Future Directions' (ACM Transactions on Information Systems), 'AutoDebias: Learning to Debias for Recommendation' (SIGIR 2021), 'On the Equivalence of Decoupled Graph Convolution Network and Label Propagation' (WWW 2021).
Research Experience
Senior Researcher, Tencent, 2023.08-today, Working Area: large language model, code intelligence, multi-modal, RAG, etc., Product: Tencent Cloud AI Code Assistant; Algorithm Engineer, International Digital Economy Academy, 2022.07-2023.08, Working Area: code understanding and generation, pretrained language model, large language model.
Education
Master in School of Information Science and Technology, University of Science and Technology of China (USTC), 2019.09 - 2022.06, Advisor: Prof. Xiangnan He; Bachelor in School of Physical Sciences, USTC, 2015.08 - 2019.06, Chung-Yao Chao Talent Program in Applied Physics.
Background
Now a senior researcher at Tencent, mainly responsible for the model training and development of Tencent Cloud AI Code Assistant. My work revolves around large language model, including pretraining, post-training, prompt engineering, RAG, etc. Also, I am interested in data mining, such as graph neural network and recommendation system.