My name is Yuxia Wu, a research scientist at Singapore Management University (SMU), working with Assistant Prof. Yuan Fang. I also closely collaborate with Assistant Prof. Lizi Liao. Previously, 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 Master’s and Bachelor’s degrees in Biomedical Engineering.

Research interests:

• Recommendation System: Sequential recommendation; Conversational recommendation; Explainable recommendation
• Conversational AI: Task-oriented dialog system; Conversational understanding
• Graph data mining: Dynamic graph modeling; LLM for graphs
• Spatial-Temporal: Human mobility; Smart cities; Temporal event forecasting

“The cradle rocks above an abyss, and common sense tells us that our existence is but a brief crack of light between two eternities of darkness.” – “Speak, Memory” by Vladimir Nabokov.

🔥 News

• [09/2024]: We have two papers accepted by EMNLP’24. Congrats to Yimin (one paper about new intent discovery, accepted as Findings) and Jinggui (the first survey paper about ontology expansion for conversational understanding)!
• [07/2024]: I was awarded Best Poster Presentation at Singapore ACM SIGKDD Symposium 2024! Thanks for everyone!
• [05/2024]: Check out our Tutorials “Towards Graph Foundation Models” (Part I, Part II & Part III) at WWW’24.
• [03/2024]: Our paper about new slot discovery is accepted by IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
• [02/2024]: Our paper about simple Transformer for dynamic graph modeling is accepted by WWW’24.
• [11/2023]: Our paper about reason generation for POI recommendation is accepted by IEEE Transactions on Multimedia (TMM).
• [05/2023]: I started the Research Scientist (Postdoc) position at Singapore Management University.

📝 Research

Selected Papers

Please see my Google Scholar for the full publication list. (* Equal Contribution)

Preprints:

• Retrieval Augmented Generation for Dynamic Graph Modeling Yuxia Wu, Yuan Fang, Lizi Liao

• Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu^*, Shujie Li^*,Yuan Fang, Chuan Shi

Published:

• “Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery”

  Yimin Deng^*, Yuxia Wu^*, Li Zhu, Guoshuai Zhao, Xueming Qian. Findings of EMNLP 2024

• “A Survey of Ontology Expansion for Conversational Understanding”

  Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao. EMNLP 2024

• “Active Discovering New Slots for Task-oriented Conversation”

  Yuxia Wu^*, Tianhao Dai^*, Zhedong Zheng, Lizi Liao. TASLP 2024

• “On the Feasibility of Simple Transformer for Dynamic Graph Modeling”

  Yuxia Wu, Yuan Fang, Lizi Liao. WWW 2024

• “Reason Generation for Point of Interest Recommendation via a Hierarchical Attention-based Transformer Model”

  Yuxia Wu, Guoshuai Zhao, Mingdi Li, Zhuocheng Zhang, Xueming Qian. TMM 2023

• “Semi-supervised New Slot Discovery with Incremental Clustering”

  Yuxia Wu, Lizi Liao, Xueming Qian, Tat-Seng Chua. Findings of EMNLP 2022

• “State Graph Reasoning for Multimodal Conversational Recommendation”

  Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua. TMM 2022

• “Personalized Long- and Short-term Preference Learning for Next POI Recommendation” (ESI Highly Cited Paper, Citations: 160+)

  Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian. TKDE 2020

• “LAST: Location-Appearance-Semantic-Temporal Clustering based POI Summarization”

  Xueming Qian, Yuxia Wu, Mingdi Li, Yayun Ren, Shuhui Liang, Zhetao Li. TMM 2020

• “Long- and Short-term Preference Learning for Next POI Recommendation”

  Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian. CIKM 2019

🙌 Students Co-supervision/Collaboration

• Jianyuan Bo: PhD at SMU with Assistant Prof. Yuan Fang
• Sethupathy PARAMESWARAN: Research Engineer at SMU with Assistant Prof. Yuan Fang
• Shujie Li: Master at BUPT with Prof. Chuan Shi
• Yuquan Yang: Master at USTC with Prof. Xinming Zhang
• HOANG Thi Linh: Research Engineer at SMU with Assistant Prof. Yuan Fang
• Yimin Deng: PhD at XJTU with Prof. Xueming Qian
• Tianhao Dai: Former Research Engineer at SMU with Assistant Prof. Lizi Liao
• Qiang Chen: Graduated master at XJTU with Associate Prof. Guoshuai Zhao

🌟 Teaching

• ISSS609 Text Analytics and Application (Undergraduate), Singapore Management University, Guest Lecturer, 2024
• COMP 815 Nature Inspired Computing (Postgraduate), Auckland University of Technology, Guest Lecturer, 2024
• ISSS606 Social Analytics and Applications (Postgraduate), Singapore Management University, Guest Lecturer, 2024
• COMP 701 Nature Inspired Computing (Undergraduate), Auckland University of Technology, Guest Lecturer, 2024
• Top-conference Paper Analysis, Beijing, Lecturer, 2022
• Deep Learning Algorithm, Beijing, Teaching Assistant, 2018 - 2020
• Video Processing and Communications (Postgraduate), Xi’an Jiaotong University, Teaching Assistant, 2018

🎓 Education

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

🍀 Experience

• 2023.05 - now, Research Scientist, Singapore Management University. Supervisor: Assistant Prof. Yuan Fang
• 2021.03 - 2022.10, Research Intern, NExT Research Center, National University of Singapore. Supervisors: Prof. Tat-Seng Chua and Assistant Prof. Lizi Liao
• 2020.10 - 2021.03, Research Intern, Meituan, Beijing, China. Mentors: Yafeng Zhang, Xuchu Hou, Jinpeng Wang
• 2020.03 - 2020.10, Project leader collaborated with industry partner Aidigger, Hangzhou, China. Mentors: Xiao Wei

👍 Service

• Guest Editor: MDPI Electronics, Special Issue: “AI for Science: Advanced Techniques and Interdisciplinary Applications”
• Area Chair: AJCAI 2024
• Reviewer/PC Member: WWW, MM, ACL ARR, ACL, CIKM, EMNLP, NLPCC, TPAMI, TKDE, TOIS, TBD, TIST, TAI, TMC, Knowledge-Based Systems, Neurocomputing, The Journal of Supercomputing

“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