Xixi WU 「吴茜茜」

Ph.D. student,
The Chinese University of Hong Kong

CV / Email / GitHub / Google Scholar

Short Bio

I am a Ph.D. student at The Chinese University of Hong Kong, under the supervision of Prof. Hong CHENG.
Previously, I received my B.S. and M.S. in Computer Science from Fudan University in 2021 and 2024, respectively.
I was a Research Intern at Microsoft Research Asia (Shanghai AI/ML Group), mentored by Dr. Yifei SHEN and Dr. Caihua SHAN.

My research interests lie in the intersection of Graph Learning and Large Language Models (LLMs). Specifically, I focus on integrating Graph Learning with LLMs to enhance their reasoning capabilities in graph-related applications, such as task planning in autonomous agents. Additionally, I am interested in Data Mining, focusing on topics like community detection, graph prompt learning, recommender systems, etc.

Recent News

I am actively seeking Summer Internships in 2025. If you have any opportunities, feel free to contact me!

  • [Feb 2025] Develop LLMNodeBed, a codebase and testbed for LLM-based node Classification algorithms. Along with codebase inegrating 10 datasets, 10+ algorithms, 8 novel takeaways based on experiments are also released.
  • [Nov 2024] I was awarded NeurIPS'2024 Top Reviewer.
  • [Sep 2024] Our paper GNN4TaskPlan was accepted to NeurIPS'2024. See you in Vancouver!

Research Highlights

  • generation

    Graph Learning for Task Planning (NeurIPS'2024)

    In language agents, available tasks naturally form a task graph, where nodes represent tasks and edges denote dependencies. Under such context, task planning involves selecting a path within this graph to fulfill user requests. We find that the bottleneck in LLMs' planning abilities lies in their limited understanding of the task graph. Therefore, we introduce GNNs as a simple fix, available in both training-free and training-required variants. Extensive experiments demonstrate that GNN-based methods surpass existing solutions even without training.


Selected Publications

Experience

  • generation

    Microsoft Research Asia
    Research Intern, Shanghai AI/ML Group Feb. 2024 - Jun. 2024

  • generation

    Microsoft
    Software Engineer Intern, Outlook Mobile Team Jul. 2020 - Sep. 2020


Selected Awards

  • Hong Kong PhD Fellowship (HKPFS), Hong Kong SAR 2024
  • National Scholarship for Graduate Student, Ministry of Education, China 2022 & 2023
  • ACM Web Conference Student Travel Award 2023
  • Second Class Scholarship for Outstanding Student, Fudan University 2018 & 2021
  • Second Prize of Undergraduate Mathematical Contest in Modeling, Shanghai, China (CUMCM) 2019
  • First Prize in National Olympiad in Mathematics in Provinces, Jiangsu, China 2016

Professional Services

  • Conference Reviewer: NeurIPS'2024 (Top Reviewer Award🏆), ICLR'2025, ICML'2025, WWW'2024 Graph Foundation Model (GFM) Workshop, SIGKDD'2024 - 2025
  • Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), Transactions on Machine Learning Research (TMLR)
  • Oral Presentation: WWW'2023

Miscellaneous

  • I love sports like swimming 🏊 and running 🏃. I also enjoy cooking Chinese food 🤣
  • During my undergraduate studies, I was interested in mobile app development (You can find all the source codes on my GitHub):

    Lose Weight, a Fluter App

    Hulv, a Mini-Program

    Chatroom, a Desktop App
  • I enjoy exploring the unknown and strive to keep moving forward on this path of discovery and learning ✨

Last updated at Dec 7, 2024 by Xixi