👋 About Me

Hi, I am Zheng YUAN, a second-year Ph.D. student (since 2023.09) in DEEP Lab at The Hong Kong Polytechnic University (PolyU), Department of Computing, under the supervision of Prof. Xiao HUANG. I received a B.E. from Shenzhen University (SZU), Computer Science and Technology, supervised by Prof. Weike PAN.

My current research interests include large language models and their applications, code (SQL) generation, and data mining. During my free time, I enjoy hiking and travel. Please feel free to reach me out!

📧 yzheng[dot]yuan[at]connect[dot]polyu[dot]hk

🔥 News

• 2025.02: 🔥🔥 Our paper “Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation” has been released. Take a look!
• 2025.02: 🔥🔥 Our Graph-RAG survey “A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models” has been released. Take a look!
• 2024.06: 🔥🔥 Our text-to-SQL survey “Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL” has been released. Take a look!
• 2024.05: 🎉🎉 Our paper “Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM” is accepted by ACL 2024.

⚒️ Projects

• Awesome-GraphRAG
• IDvs.MoRec

📝 Publications

• Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation

  Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Xiao Huang

  arXiv Preprint

• A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

  Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang

  arXiv Preprint

• Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL

  Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang

  arXiv Preprint

• Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

  Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang

  In Findings of the Association for Computational Linguistics: ACL 2024

• Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks

  Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang

  In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024

• NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation

  Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan

  IEEE Transactions on Pattern Analysis and Machine Intelligence (2024): TPAMI 2024

• Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights

  Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan

  In Proceedings of the 17th ACM International Conference on Web Search and Data Mining: WSDM 2024

• Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

  Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan

  arXiv Preprint

• Where to go next for recommender systems? id-vs. modality-based recommender models revisited

  Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, JunChen Fu, Fei Yang, Yunzhu Pan, YongXin Ni

  In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval: SIGIR 2023

• SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback

  Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming

  In 2022 International Joint Conference on Neural Networks: IJCNN 2022

💻 Experiences

• 2023.04 - 2023.09, Reseach Intern, Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology (SIAT), Advisor: Min YANG, Shenzhen, China.
• 2021.07 - 2023.03, Reseach Assistant, Representation Learning Lab, Westlake University @westlake-repl, Advisor: Fajie YUAN, Hangzhou, China.