🙋‍♀️ About Me

Dr. Yakun Chen is currently a Postdoctoral Research Fellow of Centre for Learning, Teaching, and Technology (LTTC) at The Education University of Hong Kong (EdUHK), in collaboration with Prof. Guandong Xu. She received her Ph.D. degree at the School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS) (2021-2025), under the supervision of Dr. Xianzhi Wang, Prof. Guandong Xu, and A/Prof. Guodong Long. Before that, she received her Master of Science degree in Applied Mathematics from Northeastern University, USA (2019-2021) and Bachelor of Science degree in Information and Computing Science from Zhejiang Gongshang University (2015-2019). She has published several papers in leading conferences and journals, such as WWW, CSUR, EAAI, and NCA. Additionally, she serves as a reviewer for prominent journals and conferences, including TNNLS, TCSS, ACM TIST, WWW, SIGIR, and IJCAI.

📚 Research Interests

Data Mining, Multivariate Time Series Analysis, Large Language Models Application, I currently focus on:

  • LLM based Multi-Agent Systems with Education application.

Welcome to collaborations, feel free to drop me an email!

🔥 News

  • Aug 2025:   Honored to serve as Finance Chair at BESC 2025.
  • Aug 2025:   One paper has been accepted by CAAI Transactions on Intelligence Technology.
  • Jul 2025:   One paper has been accepted by ECML PKDD 2025 (Journal Track).
  • Jul 2025:   Successfully completed my Ph.D. degree in Computer Science at the University of Technology Sydney. 🎉🎉
  • Apr 2025:   Will join EduHK as a Postdoctoral Research Fellow.
  • Jan 2025:   One co-authored paper has been accepted by WWW 2025.

📝 Publications

First Author

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Large language models are few-shot multivariate time series classifiers

Data Mining and Knowledge Discovery, 2025

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu

Paper | Code | BibTex

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A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

CAAI Transactions on Intelligence Technology, 2025

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu

Paper | Code | BibTex

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Exploring explicit and implicit graph learning for multivariate time series imputation

Engineering Applications of Artificial Intelligence, 2024

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Paper | BibTex

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MTSTI: A multi-task learning framework for spatiotemporal imputation

International Conference on Neural Information Processing (ADMA), 2023

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Paper | BibTex

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Adaptive graph recurrent network for multivariate time series imputation

International Conference on Neural Information Processing (ICONIP), 2022

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Paper | BibTex

🌐 Professional Activities

Conference Chair

  • BESC25 Finance Chair

Conference Program Committee Member

  • BESC25, PKAW25, PKAW24, PRICAI24, PRICAI23, PRICAI22

Reviewer

Journal

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Computational Social Systems (TCSS)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • IEEE Access

Conference

  • SIGIR25
  • ICME26

🌟 Honors and Awards

  • UTS HDR WiEIT Award Distinction, 2023.
  • UTS 1st Place Winner of Poster Presentations, SoCS HDR Showcase, 2023.
  • UTS Faculty of Engineering and Information Technology (FEIT) Scholarship, 2021.
  • UTS International Research Scholarship, 2021.

📖 Teaching

Academic Tutor in UTS

  • 32516 Internet Programming, Autumn 2024.
  • 31748 Programming on the Internet, Autumn 2024.
  • 32571 Enterprise Software Testing, Spring 2023.
  • 31282 Systems Testing and Quality Management, Spring 2023.
  • 32516 Internet Programming, Autumn 2023.
  • 31748 Programming on the Internet, Autumn 2023.
  • 48024 Application Programming, Spring 2022.

💻 Internships

  • Jul 2024 - Jan 2025, Data Scientist, Lumachain, Sydney, Australia.
  • Dec 2021 - Apr 2022, Algorithm Engineer, Bytedance, Beijing, China.
  • Mar 2021 - Jun 2021, Data Analyst, Bytedance, Beijing, China.
  • Jul 2020 - Dec 2020, Statistical Programmer, Bluebird Bio, Boston, USA.


Last Update: Jan 2026