About Me

Welcome! My name is Wenwen Xia, I’m currently a Lecture at Soochow University. I obtained my Ph.D. degree at Shanghai Jiao Tong University (SJTU), Bachelor’s degree at Wuhan University, and was a visiting Ph.D. student at Singapore Management Univeristy (SMU) where I worked with Prof. Yuchen Li. Previously, I spent one year at Microsoft Research Asia (Shanghai) as a research intern. I was a senior machine learning engineer at Ant Group until Dec. 2024. I move to Soochow University as a Lecture from Jan. 2025.

I work on large language models (LLMs), retrieval augmentation generation (RAG), reranker model optimizaiton, graph machine learning, and so on.

Research Interests

LLMs and RAG: This research direction focuses on the LLM optimization, including LLM performance, training, and reinforcement learning. Moreover, I also focus on retrieval augmentation generation, including new RAG algorithms, training reranker models, etc.

这个方向主要研究大语言模型的优化问题,包括怎么让模型的训练和推理更加高效(例如我们期望缓存更少,延迟更低等),以及用强化学习来进一步提升效果。除此之外,也在探索检索增强生成(RAG)方向,比如设计新的RAG算法、训练更好的小型重排序模型(例如4B以下的模型)。

Integrating LLMs with Graphs: This research direction relates to the synergy between large language models (LLMs) and graph data, striving to equip LLMs with a deep understanding and manipulation of graph structures. Another direction is to utilizing graphs for retrieval-augmented genertation (GraphRAG), which has pervasive applications in the current AI-motivated era. This integration also seeks to enhance LLMs’ capabilities in planning, reasoning, and tool utilization, enabling more intelligent and context-aware AI systems.

这个方向聚焦在大语言模型和图数据怎么更好地结合起来。一方面是让大模型真正”读懂”图结构,能理解和操作图数据;另一方面是用图来增强检索增强生成(也就是GraphRAG)系统的性能。也希望借助图结构来增强大模型的检索问答、规划推理和工具调用等能力。

所在课题组(苏州大学自然语言处理实验室)主页:https://opennlg.cn。组内成员共享技术支持、计算资源等,课题组氛围良好。

News

🔥 [2026.06] 2026年课题组有研究生名额,欢迎感兴趣的同学与我邮件联系。

🔥 [2025.08] 主持国家自然科学基金青年基金、江苏省自然科学基金青年基金、江苏省高校面上项目等。项目组经费充裕。

Publications

See google scholar -> here

Experiences

  • 2023.09-Present, Machine learning engineer, Ant Group
  • 2022.03-2023.02, Research Intern, Microsoft Research Asia
  • 2021.01-2022.02, Visiting Ph.D. student, SMU

Miscellaneous

If you have any questions about my research work or aim to collaborate with me, feel free to drop an email to me [xiawenwen49 AT gmail DOT com].