My name is Yuxia Wu, a research scientist at Singapore Management University (SMU), supervised by Assistant Prof. Yuan Fang. Before that, I obtained my Ph.D. degree in the area of Computer Science at SMILES lab, Xi’an Jiaotong University, advised by Prof. Xueming Qian. I also hold a Master’s degree and a Bachelor’s degree in Biomedical Engineering from Airforce Medical University and Zhengzhou University.

Research interests:

  • Graph mining: dynamic graph modeling, temporal knowledge graph, LLM for graphs
  • Recommendation systems: conversational recommendation, sequential recommendation, generative AI for recommendations
  • NLP: conversational search and recommendation, new slot/intent discovery
  • Medical image processing: medical image registration, brain image analysis, computer aided diagnosis
  • AI for science: molecular generation

I am interested in conducting interdisciplinary research and open to collaborations with academic and industry partners in my research areas. If you are interested in working together, please feel free to contact me.

“Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution.” – Albert Einstein

📝 Publications [Google Scholar]

TASLP 2024
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“Active Discovering New Slots for Task-oriented Conversation”

Yuxia Wu, Tianhao Dai, Zhedong Zheng, Lizi Liao.

CODE

EMNLP 2022
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“Semi-supervised New Slot Discovery with Incremental Clustering”

Yuxia Wu, Lizi Liao, Xueming Qian, Tat-Seng Chua.

CODE Slides VIDEO

TMM 2022
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“State Graph Reasoning for Multimodal Conversational Recommendation”

Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua

CODE

TKDE 2020
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“Personalized Long- and Short-term Preference Learning for Next POI Recommendation

Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian.

CODE (ESI Highly Cited Paper, Citations: 130+)

🎓 Educations

  • 2017.09 - 2023.03, Ph.D. in Information and Communication Engineering, Xi’an Jiaotong University, Shaanxi, China.
  • 2014.09 - 2017.07, Master of Engineering in Biomedical Engineering, Air Force Medical University, Shaanxi, China.
  • 2010.09 - 2014.07, Bachelor of Engineering in Biomedical Engineering, Zhengzhou University, Henan, China

🍀 Experiences

  • 2023.05 - now, Research Scientist, Singapore Management University.
  • 2021.03 - 2022.10, Research Intern, NExT++ Research Center, National University of Singapore.
  • 2020.10 - 2021.03, Research Intern, Meituan, Beijing, China.

👍 Services

  • Journal Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI A*)
    • IEEE Transactions on Knowledge and Data Engineering (TKDE, A*)
    • IEEE Transactions on Big Data (TBD, Q1)
    • IEEE Transactions on Artificial Intelligence (TAI)
    • IEEE Transactions on Mobile Computing (TMC, A*)
    • Knowledge-Based Systems (B)
    • Neurocomputing (B)
    • The Journal of Supercomputing (B)
  • Program Committee Member:
    • The Web Conference (WWW, A*), 2024
    • ACM Multimedia (ACM MM, A*), 2024
    • ACL Rolling Review (ACL ARR, A*),2024
    • Annual Meeting of the Association for Computational Linguistics (ACL, A*), 2023-2024
    • Conference on Information and Knowledge Management (CIKM, A), 2024
    • Empirical Methods in Natural Language Processing (EMNLP, A*), 2022-2023
    • Natural Language Processing and Chinese Computing (NLPCC, CCF C), 2023

🌟 Miscellaneous

In my spare time, I enjoy reading, running, fitness, swimming, and hiking.

“You can’t ever reach perfection, but you can believe in an asymptote toward which you are ceaselessly striving.” – “When Breath Becomes Air” by Paul Kalanithi